머신러닝 프로그래밍 4주차
help(open)
Help on built-in function open in module io:
open(file, mode='r', buffering=-1, encoding=None, errors=None, newline=None, closefd=True, opener=None)
Open file and return a stream. Raise OSError upon failure.
file is either a text or byte string giving the name (and the path
if the file isn't in the current working directory) of the file to
be opened or an integer file descriptor of the file to be
wrapped. (If a file descriptor is given, it is closed when the
returned I/O object is closed, unless closefd is set to False.)
mode is an optional string that specifies the mode in which the file
is opened. It defaults to 'r' which means open for reading in text
mode. Other common values are 'w' for writing (truncating the file if
it already exists), 'x' for creating and writing to a new file, and
'a' for appending (which on some Unix systems, means that all writes
append to the end of the file regardless of the current seek position).
In text mode, if encoding is not specified the encoding used is platform
dependent: locale.getpreferredencoding(False) is called to get the
current locale encoding. (For reading and writing raw bytes use binary
mode and leave encoding unspecified.) The available modes are:
========= ===============================================================
Character Meaning
--------- ---------------------------------------------------------------
'r' open for reading (default)
'w' open for writing, truncating the file first
'x' create a new file and open it for writing
'a' open for writing, appending to the end of the file if it exists
'b' binary mode
't' text mode (default)
'+' open a disk file for updating (reading and writing)
'U' universal newline mode (deprecated)
========= ===============================================================
The default mode is 'rt' (open for reading text). For binary random
access, the mode 'w+b' opens and truncates the file to 0 bytes, while
'r+b' opens the file without truncation. The 'x' mode implies 'w' and
raises an `FileExistsError` if the file already exists.
Python distinguishes between files opened in binary and text modes,
even when the underlying operating system doesn't. Files opened in
binary mode (appending 'b' to the mode argument) return contents as
bytes objects without any decoding. In text mode (the default, or when
't' is appended to the mode argument), the contents of the file are
returned as strings, the bytes having been first decoded using a
platform-dependent encoding or using the specified encoding if given.
'U' mode is deprecated and will raise an exception in future versions
of Python. It has no effect in Python 3. Use newline to control
universal newlines mode.
buffering is an optional integer used to set the buffering policy.
Pass 0 to switch buffering off (only allowed in binary mode), 1 to select
line buffering (only usable in text mode), and an integer > 1 to indicate
the size of a fixed-size chunk buffer. When no buffering argument is
given, the default buffering policy works as follows:
* Binary files are buffered in fixed-size chunks; the size of the buffer
is chosen using a heuristic trying to determine the underlying device's
"block size" and falling back on `io.DEFAULT_BUFFER_SIZE`.
On many systems, the buffer will typically be 4096 or 8192 bytes long.
* "Interactive" text files (files for which isatty() returns True)
use line buffering. Other text files use the policy described above
for binary files.
encoding is the name of the encoding used to decode or encode the
file. This should only be used in text mode. The default encoding is
platform dependent, but any encoding supported by Python can be
passed. See the codecs module for the list of supported encodings.
errors is an optional string that specifies how encoding errors are to
be handled---this argument should not be used in binary mode. Pass
'strict' to raise a ValueError exception if there is an encoding error
(the default of None has the same effect), or pass 'ignore' to ignore
errors. (Note that ignoring encoding errors can lead to data loss.)
See the documentation for codecs.register or run 'help(codecs.Codec)'
for a list of the permitted encoding error strings.
newline controls how universal newlines works (it only applies to text
mode). It can be None, '', '\n', '\r', and '\r\n'. It works as
follows:
* On input, if newline is None, universal newlines mode is
enabled. Lines in the input can end in '\n', '\r', or '\r\n', and
these are translated into '\n' before being returned to the
caller. If it is '', universal newline mode is enabled, but line
endings are returned to the caller untranslated. If it has any of
the other legal values, input lines are only terminated by the given
string, and the line ending is returned to the caller untranslated.
* On output, if newline is None, any '\n' characters written are
translated to the system default line separator, os.linesep. If
newline is '' or '\n', no translation takes place. If newline is any
of the other legal values, any '\n' characters written are translated
to the given string.
If closefd is False, the underlying file descriptor will be kept open
when the file is closed. This does not work when a file name is given
and must be True in that case.
A custom opener can be used by passing a callable as *opener*. The
underlying file descriptor for the file object is then obtained by
calling *opener* with (*file*, *flags*). *opener* must return an open
file descriptor (passing os.open as *opener* results in functionality
similar to passing None).
open() returns a file object whose type depends on the mode, and
through which the standard file operations such as reading and writing
are performed. When open() is used to open a file in a text mode ('w',
'r', 'wt', 'rt', etc.), it returns a TextIOWrapper. When used to open
a file in a binary mode, the returned class varies: in read binary
mode, it returns a BufferedReader; in write binary and append binary
modes, it returns a BufferedWriter, and in read/write mode, it returns
a BufferedRandom.
It is also possible to use a string or bytearray as a file for both
reading and writing. For strings StringIO can be used like a file
opened in a text mode, and for bytes a BytesIO can be used like a file
opened in a binary mode.
Character Meaning ——— —————————————————————
'r' open for reading (default)
'w' open for writing, truncating the file first
'x' create a new file and open it for writing
'a' open for writing, appending to the end of the file if it exists
'b' binary mode
't' text mode (default)
'+' open a disk file for updating (reading and writing)
'U' universal newline mode (deprecated)
1. 파이썬 파일 생성 open
- 주의
파일 객체는 반드시 열었으면(open) 닫아야(close)합니다.
오픈한 파일을 닫지 않는다면 데이터가 날라갈 수 있습니다.
-
파일 생성 open, close 함수
-
파일 쓰기 write, writeline, writelines 함수
-
파일 읽기 read, readline, readlines, seek, tell 함수
f = open("data.txt")
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
<ipython-input-2-3006c58d7040> in <module>
----> 1 f = open("data.txt")
FileNotFoundError: [Errno 2] No such file or directory: 'data.txt'
! pip install wget
Collecting wget
WARNING: Ignoring invalid distribution -onlpy (c:\users\mycom\appdata\roaming\python\python38\site-packages)
WARNING: Ignoring invalid distribution -pype1 (c:\users\mycom\anaconda3\lib\site-packages)
WARNING: Ignoring invalid distribution -ensorflow-gpu (c:\users\mycom\anaconda3\lib\site-packages)
WARNING: Ignoring invalid distribution -onlpy (c:\users\mycom\appdata\roaming\python\python38\site-packages)
WARNING: Ignoring invalid distribution -pype1 (c:\users\mycom\anaconda3\lib\site-packages)
WARNING: Ignoring invalid distribution -ensorflow-gpu (c:\users\mycom\anaconda3\lib\site-packages)
WARNING: Ignoring invalid distribution -onlpy (c:\users\mycom\appdata\roaming\python\python38\site-packages)
WARNING: Ignoring invalid distribution -pype1 (c:\users\mycom\anaconda3\lib\site-packages)
WARNING: Ignoring invalid distribution -ensorflow-gpu (c:\users\mycom\anaconda3\lib\site-packages)
WARNING: Ignoring invalid distribution -pype1 (c:\users\mycom\anaconda3\lib\site-packages)
WARNING: Ignoring invalid distribution -onlpy (c:\users\mycom\anaconda3\lib\site-packages)
WARNING: Ignoring invalid distribution -ensorflow-gpu (c:\users\mycom\anaconda3\lib\site-packages)
WARNING: Ignoring invalid distribution -onlpy (c:\users\mycom\appdata\roaming\python\python38\site-packages)
WARNING: Ignoring invalid distribution -pype1 (c:\users\mycom\anaconda3\lib\site-packages)
WARNING: Ignoring invalid distribution -ensorflow-gpu (c:\users\mycom\anaconda3\lib\site-packages)
WARNING: Ignoring invalid distribution -onlpy (c:\users\mycom\appdata\roaming\python\python38\site-packages)
WARNING: Ignoring invalid distribution -pype1 (c:\users\mycom\anaconda3\lib\site-packages)
WARNING: Ignoring invalid distribution -ensorflow-gpu (c:\users\mycom\anaconda3\lib\site-packages)
WARNING: Ignoring invalid distribution -onlpy (c:\users\mycom\appdata\roaming\python\python38\site-packages)
WARNING: Ignoring invalid distribution -pype1 (c:\users\mycom\anaconda3\lib\site-packages)
WARNING: Ignoring invalid distribution -ensorflow-gpu (c:\users\mycom\anaconda3\lib\site-packages)
Downloading wget-3.2.zip (10 kB)
Building wheels for collected packages: wget
Building wheel for wget (setup.py): started
Building wheel for wget (setup.py): finished with status 'done'
Created wheel for wget: filename=wget-3.2-py3-none-any.whl size=9680 sha256=c52c9dc3bb9386430c25848809820254273b353edb659190ebb0a7d88745c16e
Stored in directory: c:\users\mycom\appdata\local\pip\cache\wheels\bd\a8\c3\3cf2c14a1837a4e04bd98631724e81f33f462d86a1d895fae0
Successfully built wget
Installing collected packages: wget
Successfully installed wget-3.2
#'Web Get'의 약어로 웹 상의 파일을 다운로드 받을 때 사용하는 명령어로 wget은 비 상호작용 네트워크 다운로더 이다. 즉, 네트워크 상에서 데이터를 다운로드하는 기능을 수행한다. HTTP, HTTPS, FTP 프로토콜을 지원하며, HTTP proxy에서 데이터를 가져올 수도 있다.
# !wget https://www.khu.ac.kr
import wget
url = "https://www.khu.ac.kr"
wget.download(url)
'download.wget'
%ls
C 드라이브의 볼륨에는 이름이 없습니다.
볼륨 일련 번호: C207-1CE7
C:\Users\MyCom\jupyter-tutorial\수업자료 디렉터리
2021-09-23 오후 03:29 <DIR> .
2021-09-23 오후 03:29 <DIR> ..
2021-09-23 오후 02:35 <DIR> .ipynb_checkpoints
2021-09-13 오후 07:21 4,681 0908a.ipynb
2021-09-14 오전 12:40 44,769 0908b.ipynb
2021-09-23 오후 02:33 41,650 3주차강의.ipynb
2021-09-23 오후 03:29 15,728 4주차강의.ipynb
2021-09-23 오후 03:28 79 download.wget
2021-09-21 오전 02:57 <DIR> 응용
5개 파일 106,907 바이트
4개 디렉터리 130,802,294,784 바이트 남음
#!wget https://www.khu.ac.kr/kor/main/index.do
import wget
url = "https://www.khu.ac.kr/kor/main/index.do"
wget.download(url)
'index.do'
UnicodeDecodeError: ‘cp949’ codec can’t decode byte 0xec in position 355: illegal multibyte sequence
해결방안
구글을 통해 다섯 가지의 해결 방안을 찾을 수 있었다
-
py 파일 시작(line1)에 #-- coding: utf-8 -- 를 써주는 방법
-
reading_file = open(“test.txt”, “r”)의 “r”을 “rt”로 바꾸어 reading_file = open(“test.txt”, “rt”)로 써주는 방법
-
reading_file = open( “test.txt”, “r”, “utf-8” )로 표기해주는 방법
-
파일의 인코딩을 ANSI로 바꾸는 방법
-
reading_file = open(‘test.txt’, ‘rt’, encoding=’UTF8’)
f = open("index.do",'rt', encoding='UTF8')
help(f)
Help on TextIOWrapper object:
class TextIOWrapper(_TextIOBase)
| TextIOWrapper(buffer, encoding=None, errors=None, newline=None, line_buffering=False, write_through=False)
|
| Character and line based layer over a BufferedIOBase object, buffer.
|
| encoding gives the name of the encoding that the stream will be
| decoded or encoded with. It defaults to locale.getpreferredencoding(False).
|
| errors determines the strictness of encoding and decoding (see
| help(codecs.Codec) or the documentation for codecs.register) and
| defaults to "strict".
|
| newline controls how line endings are handled. It can be None, '',
| '\n', '\r', and '\r\n'. It works as follows:
|
| * On input, if newline is None, universal newlines mode is
| enabled. Lines in the input can end in '\n', '\r', or '\r\n', and
| these are translated into '\n' before being returned to the
| caller. If it is '', universal newline mode is enabled, but line
| endings are returned to the caller untranslated. If it has any of
| the other legal values, input lines are only terminated by the given
| string, and the line ending is returned to the caller untranslated.
|
| * On output, if newline is None, any '\n' characters written are
| translated to the system default line separator, os.linesep. If
| newline is '' or '\n', no translation takes place. If newline is any
| of the other legal values, any '\n' characters written are translated
| to the given string.
|
| If line_buffering is True, a call to flush is implied when a call to
| write contains a newline character.
|
| Method resolution order:
| TextIOWrapper
| _TextIOBase
| _IOBase
| builtins.object
|
| Methods defined here:
|
| __init__(self, /, *args, **kwargs)
| Initialize self. See help(type(self)) for accurate signature.
|
| __next__(self, /)
| Implement next(self).
|
| __repr__(self, /)
| Return repr(self).
|
| close(self, /)
| Flush and close the IO object.
|
| This method has no effect if the file is already closed.
|
| detach(self, /)
| Separate the underlying buffer from the TextIOBase and return it.
|
| After the underlying buffer has been detached, the TextIO is in an
| unusable state.
|
| fileno(self, /)
| Returns underlying file descriptor if one exists.
|
| OSError is raised if the IO object does not use a file descriptor.
|
| flush(self, /)
| Flush write buffers, if applicable.
|
| This is not implemented for read-only and non-blocking streams.
|
| isatty(self, /)
| Return whether this is an 'interactive' stream.
|
| Return False if it can't be determined.
|
| read(self, size=-1, /)
| Read at most n characters from stream.
|
| Read from underlying buffer until we have n characters or we hit EOF.
| If n is negative or omitted, read until EOF.
|
| readable(self, /)
| Return whether object was opened for reading.
|
| If False, read() will raise OSError.
|
| readline(self, size=-1, /)
| Read until newline or EOF.
|
| Returns an empty string if EOF is hit immediately.
|
| reconfigure(self, /, *, encoding=None, errors=None, newline=None, line_buffering=None, write_through=None)
| Reconfigure the text stream with new parameters.
|
| This also does an implicit stream flush.
|
| seek(self, cookie, whence=0, /)
| Change stream position.
|
| Change the stream position to the given byte offset. The offset is
| interpreted relative to the position indicated by whence. Values
| for whence are:
|
| * 0 -- start of stream (the default); offset should be zero or positive
| * 1 -- current stream position; offset may be negative
| * 2 -- end of stream; offset is usually negative
|
| Return the new absolute position.
|
| seekable(self, /)
| Return whether object supports random access.
|
| If False, seek(), tell() and truncate() will raise OSError.
| This method may need to do a test seek().
|
| tell(self, /)
| Return current stream position.
|
| truncate(self, pos=None, /)
| Truncate file to size bytes.
|
| File pointer is left unchanged. Size defaults to the current IO
| position as reported by tell(). Returns the new size.
|
| writable(self, /)
| Return whether object was opened for writing.
|
| If False, write() will raise OSError.
|
| write(self, text, /)
| Write string to stream.
| Returns the number of characters written (which is always equal to
| the length of the string).
|
| ----------------------------------------------------------------------
| Static methods defined here:
|
| __new__(*args, **kwargs) from builtins.type
| Create and return a new object. See help(type) for accurate signature.
|
| ----------------------------------------------------------------------
| Data descriptors defined here:
|
| buffer
|
| closed
|
| encoding
| Encoding of the text stream.
|
| Subclasses should override.
|
| errors
| The error setting of the decoder or encoder.
|
| Subclasses should override.
|
| line_buffering
|
| name
|
| newlines
| Line endings translated so far.
|
| Only line endings translated during reading are considered.
|
| Subclasses should override.
|
| write_through
|
| ----------------------------------------------------------------------
| Methods inherited from _IOBase:
|
| __del__(...)
|
| __enter__(...)
|
| __exit__(...)
|
| __iter__(self, /)
| Implement iter(self).
|
| readlines(self, hint=-1, /)
| Return a list of lines from the stream.
|
| hint can be specified to control the number of lines read: no more
| lines will be read if the total size (in bytes/characters) of all
| lines so far exceeds hint.
|
| writelines(self, lines, /)
| Write a list of lines to stream.
|
| Line separators are not added, so it is usual for each of the
| lines provided to have a line separator at the end.
|
| ----------------------------------------------------------------------
| Data descriptors inherited from _IOBase:
|
| __dict__
f.read()
'\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<!DOCTYPE html>\n<html lang="ko">\n<head>\n\t<meta charset="utf-8">\n\t<title>경희대학교</title>\n\t<meta http-equiv="X-UA-Compatible" content="IE=edge">\n\t<meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0, maximum-scale=1.0, user-scalable=no">\n\t<link rel="shortcut icon" href="/kor/resources/user/img/favicon.ico" type="image/x-icon">\n\t<link rel="stylesheet" href="/kor/resources/user/css/jquery.bxslider.css">\n\t<link rel="stylesheet" href="/kor/resources/user/css/base.css">\n\t<link rel="stylesheet" href="/kor/resources/user/css/common.css">\n\t<link rel="stylesheet" href="/kor/resources/user/css/contents.css">\n\t<link rel="stylesheet" href="/kor/resources/user/css/jquery.mCustomScrollbar.css">\n\t<script src="/kor/resources/user/js/jquery-1.11.2.min.js"></script>\n\t<script src="/kor/resources/user/js/jquery.mCustomScrollbar.concat.min.js"></script>\n\t<script src="/kor/resources/user/js/jquery.bxslider.min.js"></script>\n\t<script src="/kor/resources/user/js/style.js"></script>\n\t<!--[if lt IE 9]>\n\t\t<script src="/kor/resources/user/js/respond.js"></script>\n\t\t<script src="/kor/resources/user/js/html5shiv.min.js"></script>\n\t<![endif]-->\n\t<script src="https://ajax.googleapis.com/ajax/libs/webfont/1.6.16/webfont.js"></script>\n\t<script>\n\t\tWebFont.load({\n\t\t custom: {\n\t\t families: [\'notokr\'],\n\t\t urls: [\'/kor/resources/user/font/notokr-black.eot\', \'/kor/resources/user/font/notokr-bold.eot\']\n\t\t }\n\t\t});\n\t</script>\n\t<script>\n\t\tvar browser = \'Python-urllib/3.8\';\n\t\tvar uri \t= \'/kor/main/index.do\';\n\t\tvar ip \t\t= \'163.180.96.207\';\n\t\tvar lang \t= \'ko\';\n\t\tvar context\t= \'/kor\';\n\t</script>\n\t\n\t<!-- event 수정 20200422 S -->\n\t<script type="text/javascript">\n\t\t$(document).ready(function() {\t\t\t\n\t\t\t$(".eventAct").on("click", function() {\n\t\t\t\tif ($(".eventTop").hasClass("minArea")) {\t\t\t\t\t\n\t\t\t\t\t\t$(".eventTop").removeClass(\'minArea\');\n\t\t\t\t\t}else{\n\t \t\t\t\t$(".eventTop").addClass(\'minArea\');\n\t \t\t};\n\t\t\t});\t\t\t \n\t\t});\n\t</script>\n<!-- event 수정 20200422 E -->\n</head>\n<body class="">\n<nav class="skip">\n\t<ul>\n\t\t<li><a href="#contents">본문 바로가기</a></li>\n\t</ul>\n</nav>\n\n\n\n<div class="wrap">\n\t\n\t\n\t\n\n\n\n\n\n\n\n<script>\nfunction search(el){\n\tif(event.keyCode==13){\n\t\tdocument.sf.q.value=el.value;\n\t\tdocument.sf.submit();\n\t}\n}\n</script>\n\n<header class="head">\n\t<div class="mobileTopW">\n\t\t<div class="container clearfix">\n\t\t\t<h1 class="logo">\n\n\t\n\t\n\t\t<a href="/kor/main/index.do"><img src="/kor/resources/user/img/pc/common/logo.png" class="pc" alt="경희대학교"><img src="/kor/resources/user/img/mobile/common/logo.jpg" class="mobile" alt="경희대학교"></a><!--20181217 태그 수정-->\n\t\n\n\n\t\t\t</h1>\n\t\t\t<div class="search">\n\t\t\t\t<!-- 20181217 추가 -->\n\t\t\t\t<label for="searchInput01" class="hidden">Search Site and People</label>\n\t\t\t\t<input type="search" id="searchInput01" class="inputSearch" placeholder="Search Site & People" \n\t\t\t\tonkeydown="search(this);"><!-- 20181217 id 추가 -->\n\t\t\t\t<button class="btnSearch">search</button><!-- 20181217 href 삭제 -->\n\t\t\t</div>\n\t\t\t<form action="/kor/info/search.do" name="sf">\n\t\t\t\t<input type="hidden" value="011072588127852259059:7bgph6ztzyg" name="cx">\n\t\t\t\t<input type="hidden" value="FORID:10" name="cof">\n\t\t\t\t<input type="hidden" value="UTF-8" name="ie">\n\t\t\t\t<input type="hidden" value="11372" name="m">\n\t\t\t\t<input type="hidden" id="sch-keyword" value="" class="searchTxt" name="q">\n\t\t\t</form>\n\t\t\t<button class="btnMenuM">\n\t\t\t\t<span></span>\n\t\t\t\t<span></span>\n\t\t\t\t<span></span>\n\t\t\t</button>\n\t\t</div>\n\t</div>\n\t<div class="mobileMenuW">\n\t\t<nav class="gnbW">\n \t\t\t<div class="container clearfix">\n \t\t\t\t<ul class="gnb clearfix">\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB01">대학</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/prsd/index.do" target="_self">총장실</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB02">입학</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB03">교육</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/edu/list.do" target="_self">교원검색</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t</ul>\n\t \t\t\t<ul class="gnb gnbRight clearfix">\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB04">연구/산학</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB05">교류/실천</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=449" target="_self">국제 교류</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">행사</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=472" target="_self">입학식</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB06">대학생활</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=527" target="_self">학생지원</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=538" target="_self">동아리</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=543" target="_self">네오르네상스장학</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">도서관/박물관</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">중앙도서관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=548" target="_self">중앙박물관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=549" target="_self">자연사박물관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=551" target="_self">혜정박물관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">경희 역사 갤러리</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=555" target="_self">정보서비스</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">커뮤니티</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">공지사항</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1" target="_self">커뮤니케이션 21</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/forum/list.do?type=TUITION&category=NOTICE&page=1" target="_self">경희포럼</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/wine/form.do" target="_self">경희와인</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/vote/form.do" target="_self">경희 Survey</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/competitionName/form.do" target="_self">경희 공모전</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=564" target="_self">경희미디어</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/focus/list.do?page=1&pageSize=5" target="_self">Focus</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/highlight/list.do?page=1&pageSize=5" target="_self">Highlight</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">카드뉴스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_self">경희뉴스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=574" target="_self">교내언론</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/video/list.do" target="_self">영상</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">포토갤러리</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t</ul>\n \t\t\t</div>\n \t\t\t<div class="bgDepth2">\n \t\t\t\t<div class="decoGnb">\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n \t\t\t\t\t\t<img src="/kor/resources/user/img/pc/common/decoGnb.png" alt="">\n\t\t\t\t \t\n\t\t\t\t\n \t\t\t\t</div>\n \t\t\t</div>\n \t\t</nav>\n \t\t<div class="utilW container">\n \t\t\t<ul class="subMenu clearfix">\n\t\t\t\t<li>\n\t\t\t\t\t<a href="https://www.khu.ac.kr/kor/prsdInquiry/list.do?page=1" target="_blank">열린총장실</a>\n\t\t\t\t</li>\n\t\t\t\t<li>\n\t \t\t\t\t<a href="https://give.khu.ac.kr/" target="_blank">발전기금</a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t \t\t\t\t<a href="https://mail.khu.ac.kr/" target="_blank">웹메일</a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t \t\t\t\t<a href="https://info21.khu.ac.kr/com/LoginCtr/login.do?sso=ok" target="_blank">인포21</a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t \t\t\t\t<a href="https://k-recruit.khu.ac.kr/hjis2/" target="_blank" >채용시스템</a>\n\t \t\t\t</li>\n\t\t\t\t<li>\n\t \t\t\t\t<a href="https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2134768" target="_blank" >코로나19</a>\n\t \t\t\t</li>\n\t\t\t\t<!--\n\t\t\t\t<li>\n\t \t\t\t\t<a href="http://nominate.khu.ac.kr/" target="_blank" >총장후보추천위원회</a>\n\t \t\t\t</li>\n\t\t\t\t\n\t \t\t\t<li>\n\t \t\t\t\t<a href="http://ombuds.khu.ac.kr/html_2013/02/01.php" target="_blank">통합민원</a>\n\t \t\t\t</li>\n-->\n\t \t\t</ul>\n\t \t\t<ul class="util clearfix">\n\t \t\t\t<li>\n\t \t\t\t\t<a href="https://www.khu.ac.kr/eng/main/index.do">English</a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t \t\t\t\t<a href="/kor/info/sitemap.do">Sitemap</a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t\t\t\t\t<a href="/kor/info/login.do" class="btnLogin">Login</a>\n\t\t\t\t\t\n\t \t\t\t</li>\n\t \t\t</ul>\n \t\t</div>\n\t</div>\n</header>\n\n<script>\n\tvar goFirstLink = function(el){\n\n\t\tif($(document).width() <= 1239) return;\n\n\t\tvar firstAnchor = $(el).next().find("a").first();\n\n\t\tvar link = firstAnchor.attr("href");\n\t\tif(typeof link == "undefined"){\n\t\t}else{\n\t\t\tlocation.href = link;\n\t\t}\n\t};\n</script>\n\n\t\n\t\n\t<div class="contW">\n\t\n\t\t\n\t\t\n\n\n\n\n\n\n<style>\n/* style for quick menu */\n\n.mainSec01 .mainRoundL01 .icoW.icoR1 {\n background-image: url(/kor/upload/link/link_normalImage_1586222636928.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR1 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR2 {\n background-image: url(/kor/upload/link/link_normalImage_1531371666149.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR2 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR3 {\n background-image: url(/kor/upload/link/link_normalImage_1531371688920.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR3 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR4 {\n background-image: url(/kor/upload/link/link_normalImage_1531371713863.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR4 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR5 {\n background-image: url(/kor/upload/link/link_normalImage_1531371737293.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR5 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR6 {\n background-image: url(/kor/upload/link/link_normalImage_1531371761092.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR6 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR7 {\n background-image: url(/kor/upload/link/link_normalImage_1531371785633.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR7 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR8 {\n background-image: url(/kor/upload/link/link_normalImage_1531371807725.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR8 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR1 {\n background-image: url(/kor/upload/link/link_normalImage_1531369229822.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR1 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR2 {\n background-image: url(/kor/upload/link/link_normalImage_1531369248917.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR2 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR3 {\n background-image: url(/kor/upload/link/link_normalImage_1531369270415.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR3 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR4 {\n background-image: url(/kor/upload/link/link_normalImage_1531369310465.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR4 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR5 {\n background-image: url(/kor/upload/link/link_normalImage_1531369355982.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR5 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR6 {\n background-image: url(/kor/upload/link/link_normalImage_1531370965900.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR6 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR7 {\n background-image: 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url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR7 {\n background-image: url(/kor/upload/link/link_normalImage_1531872245144.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR7 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR8 {\n background-image: url(/kor/upload/link/link_normalImage_1531872274832.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR8 {\n background-image: url(/kor/upload);\n}\n\n\n</style>\n\n\t<!-- main visual area -->\n\t<section class="mainSlideW">\n\t\t<ul class="mainSlide">\n\t\t\t\n\t\t\t\t<li class="slide01" style="background-image: url(/kor/upload/catalog/catalog_file_1631837907936.jpg);">\n\t\t\t\t\t\n\t\t\t\t\t<a href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152897&page=1&pageSize=5" \n\t\t\t\t\t\t\ttarget="_blank" class="fadeInDown">\n\t\t\t\t\t\t<strong class="slideTit" style="color:#ffffff">\u3000</strong>\n\t\t\t\t\t\t<p class="slideTxt" style="color:#ffffff">\u3000</p>\n\t\t\t\t\t</a>\n\t\t\t\t</li>\n\t\t\t\n\t\t\t\t<li class="slide02" style="background-image: url(/kor/upload/catalog/catalog_file_1631148167743.jpg);">\n\t\t\t\t\t\n\t\t\t\t\t<a href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152297" \n\t\t\t\t\t\t\ttarget="_blank" class="fadeInDown">\n\t\t\t\t\t\t<strong class="slideTit" style="color:#ffffff">인생의 한 페이지이자, 삶의 터전 경희를 떠나며</strong>\n\t\t\t\t\t\t<p class="slideTxt" style="color:#ffffff">교원 정년퇴임식, 교수님의 노고에 감사드립니다</p>\n\t\t\t\t\t</a>\n\t\t\t\t</li>\n\t\t\t\n\t\t\t\t<li class="slide03" style="background-image: url(/kor/upload/catalog/catalog_file_1605247095082.jpg);">\n\t\t\t\t\t\n\t\t\t\t\t<a href="http://card.cakecomms.com/kyunghee_cheerforjuniors2020_2/card" \n\t\t\t\t\t\t\ttarget="_blank" class="fadeInDown">\n\t\t\t\t\t\t<strong class="slideTit" style="color:#ffffff">\u3000</strong>\n\t\t\t\t\t\t<p class="slideTxt" style="color:#ffffff">▶ 카드뉴스 바로가기 </p>\n\t\t\t\t\t</a>\n\t\t\t\t</li>\n\t\t\t\n\t\t\t\t<li class="slide04" style="background-image: url(/kor/upload/catalog/catalog_file_1631154596666.jpg);">\n\t\t\t\t\t\n\t\t\t\t\t<a href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152427&page=1" \n\t\t\t\t\t\t\ttarget="_blank" class="fadeInDown">\n\t\t\t\t\t\t<strong class="slideTit" style="color:#ffffff">양자 정보로 찾아낸 최적의 투자 포트폴리오</strong>\n\t\t\t\t\t\t<p class="slideTxt" style="color:#ffffff">강누리·이건호·조우현 학생, ‘2021 양자정보경진대회’ 우수상 수상\n</p>\n\t\t\t\t\t</a>\n\t\t\t\t</li>\n\t\t\t\n\t\t\t\t<li class="slide05" style="background-image: url(/kor/upload/catalog/catalog_file_1631146412390.jpg);">\n\t\t\t\t\t\n\t\t\t\t\t<a href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152133&page=1" \n\t\t\t\t\t\t\ttarget="_self" class="fadeInDown">\n\t\t\t\t\t\t<strong class="slideTit" style="color:#ffffff">환자 돕는 기술 개발 의욕으로 챗봇 개발한 한의 군의관</strong>\n\t\t\t\t\t\t<p class="slideTxt" style="color:#ffffff">육군 대위 이현훈 학생(대학원 임상한의학과 박사 수료), 의료용 인공지능 챗봇 개발</p>\n\t\t\t\t\t</a>\n\t\t\t\t</li>\n\t\t\t\n\t\t</ul>\n\t</section>\n\t<!-- main visual area -->\n\n\n<main role="main" class="mainContW" id="contents">\n\t<section class="mainSec01">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">Focus<a href="/kor/focus/list.do?page=1&pageSize=5" class="btnMore">더보기</a></h2>\n\t\t\t<ul class="mainList01 clearfix">\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="/kor/focus/detail.do?seq=2152922">\n\t\t\t\t\t\t\t<div class="listImgW">\n\t\t\t\t\t\t\t\t<img src="/kor/upload/board/board_mainImage_1631757522160.jpg" alt="">\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong>코로나 시대, 슬기로운 대학 생...</strong>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<p class="txtW">\n\n\t\n9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="/kor/focus/detail.do?seq=2152259">\n\t\t\t\t\t\t\t<div class="listImgW">\n\t\t\t\t\t\t\t\t<img src="/kor/upload/board/board_mainImage_1630906938516.jpg" alt="">\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong>금 나노 입자 활용한 표면 버블...</strong>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<p class="txtW">\n\n전자공학과 이응규 교수가 금 나노 입자를 활용해 표면 버블을 만드는 원리를 규명했다. 이번 연구는 나노 분야 세계적인 ...</p>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="/kor/focus/detail.do?seq=2152249">\n\t\t\t\t\t\t\t<div class="listImgW">\n\t\t\t\t\t\t\t\t<img src="/kor/upload/board/board_mainImage_1630896475547.jpg" alt="">\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong>HK+연구단, 옥스퍼드대 마크 ...</strong>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<p class="txtW">\n\nHK+통합의료인문학연구단이 영국 옥스퍼드대학교 마크 해리슨 교수와 국제 공동연구 프로젝트를 진행한다. 이번 연구는 해리...</p>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\n\t\t\t</ul>\n\t\t</div>\n\t</section>\n\n\t<section class="mainSec02">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">Announcements</h2>\n\t\t\t<div class="tabType05">\n\t\t\t\t<ul class="tab clearfix">\n\t\t\t\t\t<li class="on">\n\t\t\t\t\t\t<a href="#">일반</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">장학</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li >\n\t\t\t\t\t\t<a href="#">학사</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">행사</a>\n\t\t\t\t\t</li>\n\t\t\t\t</ul>\n\t\t\t\t<div class="tabCon first">\n\t\t\t\t\t<ul class="mainList02 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">교원 상시채용 Pool 등록</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.06.30</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=GENERAL&seq=2150417" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">경희 글쓰기클리닉 프로그램 신청 안내(10....</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.23</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t경희 글쓰기 클리닉 프로그램 신청 안내 ‘코로나 19’의 전세계적인 확산으로 사회적...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=GENERAL&seq=2153020" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[추천채용] ㈜피씨디렉트 신입사원 채용</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.23</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t ㈜피씨디렉트 신입사원을 모집할 예정이며, 본교로 추천의뢰가 들어왔습니다. 이에 관심 있는...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=GENERAL&seq=2153014" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[국제교류팀] 경희대학교 학생을 위한 공식 ...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.23</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\tETS에서 경희대학교 학생을 위한 공식 GRE 설명회를 개최합니다.해외 대학원 및 경영대학...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=GENERAL&seq=2153013" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList02 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[서울]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[서울][대외][~10.29] 2021학년도...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.17</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t&lt; 2021년도 (재)원장재단 장학생 선발 공고 &gt;(재)원장재단은 서울시 소재 ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152954" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[한방재료가공 학교기업] 2021-2학기 국...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.15</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t한방재료가공 학교기업에서 2021학년도 2학기 국가근로학생을 모집합니다. 1. 모집인원 :...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152881" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[공통][대외][~9.30] 2021년 고속...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.14</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t&lt; 2021년도 (재)고속도로장학재단 고속도로 장학생 선발 안내 &gt;1. 신청자격...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152795" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[국제][대외][~9.28]2021년 하나금...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.13</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t2021년 국내 하나장학생 선발안내 Ⅰ. 하나장학금 개요 ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152727" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList02 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">2021학년도 2학기 본전공(1전공) 선택 ...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.23</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2153019" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">2021학년도 2학기 다전공/트랙이수 신청 ...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.23</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2153017" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">2021학년도 2학기 최종 등록 기간 안내</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.10</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t2021학년도 2학기 최종 등록 기간 안내 (재학생 및 복학생)1. 등록금 납부 기간 : ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2152557" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">2021학년도 2학기 필수교과(기초교과) 이...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.09</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t2021학년도 2학기 필수교과(기초교과) 이수면제 신청 안내 1. 이수면제 대상과목...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2152416" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList02 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">Peace BAR Festival 2021(...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.16</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t \n\n\n\n\t\n\t\t\nVisit the website ☞ pbf.khu.ac.kr ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=EVENT&seq=2152921" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">제40회 UN 세계평화의 날 기념 국제회의(...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.15</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t \n\n\n\n\t\n\t\t\n웹사이트 방문 ☞ pbf.khu.ac.kr \n ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=EVENT&seq=2152882" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">코로나 시대, 슬기로운 대학생활을 위한 총장...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.08.31</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\n\n \n\n\n\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=EVENT&seq=2152088" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">2021 대학박물관진흥지원사업-경희대 중앙박...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.08.30</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t아래 링크로 연결됩니다.http://museum.khu.ac.kr/contents/bbs/...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=EVENT&seq=2152058" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t</div>\n\t\t</div>\n\t</section>\n\n\t<section class="mainSec09">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">Link</h2>\n\t\t\t<ul class="mainList09">\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://ipsi5.uwayapply.com/foreign/khu/?CHA=1" target="_blank">\n\t\t\t\t\t\t\t2022-1(1차) 외국인 신편입학 원서접수 \n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://sugang.khu.ac.kr" target="_blank">\n\t\t\t\t\t\t\t2021-2학기 학부 수강신청\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="https://www.khu.ac.kr/upload/notice/2021_NCSI_Notice.pdf" target="_blank">\n\t\t\t\t\t\t\t2021 경희대학교 개선 과제\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://www.khu.ac.kr/upload/notice/HumanitasCollege_2021_01.pdf" target="_self">\n\t\t\t\t\t\t\t후마니타스칼리지 가이드북\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://igkh.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t대학원혁신지원사업단\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="noAfter">\n\t\t\t\t\t\t<a href="http://goodjob.khu.ac.kr" target="_self">\n\t\t\t\t\t\t\t취업진로정보\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://janghak.khu.ac.kr/" target="_self">\n\t\t\t\t\t\t\t교내장학 신청\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://www.kosaf.go.kr/" target="_self">\n\t\t\t\t\t\t\t학자금대출/국가장학금 신청\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="https://eip.khu.ac.kr" target="_blank">\n\t\t\t\t\t\t\t대학혁신지원사업\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://ombuds.khu.ac.kr/" target="_self">\n\t\t\t\t\t\t\t경희옴부즈/통합민원\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://research.khu.ac.kr/board/bbs/board.php?bo_table=06_02" target="_self">\n\t\t\t\t\t\t\t국가 R&D사업 공고\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="noAfter">\n\t\t\t\t\t\t<a href="http://lincplus.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\tLINC+사업단\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="https://give.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t발전기금(GIVE경희)\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t</ul>\n\t\t</div>\n\n\t</section>\n\n\t<section class="mainSec03">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">News</h2>\n\t\t\t<ul class="mainList03 clearfix">\n\t\t\t\t<li>\n\t\t\t\t\t<div class="label">언론</div>\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<div class="boxSt01">\n\t\t\t\t\t\t\t<a href="/kor/news/detail.do?seq=2152961&category=PRESS&page=1">\n\t\t\t\t\t\t\t\t<strong class="titW">[9/17] 코로나시대 지식생태학…“지성보다 야성적 사고 필요해...</strong>\n\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t<span class="date">2021.09.17</span>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\n\n\n \n \n\t\t\n\t\t\t\n\t\t\n\t\n\t\n...\n\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="color02">\n\t\t\t\t\t<div class="label">경희광고</div>\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<div class="imgBoxSt01">\n\t\t\t\t\t\t\t<img src="/kor/upload/board/board_mainImage_1631845808243.jpg" alt="">\n\t\t\t\t\t\t\t<div class="imgDim">\n\t\t\t\t\t\t\t\t<div class="icoWrap">\n\t\t\t\t\t\t\t\t\t<a href="/kor/news/list.do?category=ADVERTISING&page=1" target="_blank"">\n\t\t\t\t\t\t\t\t\t\t<img src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png" alt="자세히보기"></a><!--20181217 alt 값 추가-->\n\t\t\t\t\t\t\t\t\t<a href="/kor/download.do?seq=2152959" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<img src="/kor/resources/user/img/pc/contents/ico/icoMainDown.png" alt="다운로드"></a><!--20181217 alt 값 추가-->\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t<div class="boxSt02">\n\t\t\t\t\t\t\t<strong class="titW01">전환문명의 전위, 어디를 향...</strong>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="color03">\n\t\t\t\t\t<div class="label">e-News</div>\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t<div class="boxSt01">\n\t\t\t\t\t\t\t\t<a href="/kor/news/detail.do?seq=2152942&category=ENEWS&page=1">\n\t\t\t\t\t\t\t\t\t<strong class="titW">[Kyung Hee e-News No.218] 인생의 한 페이지...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.16</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="color04">\n\t\t\t\t\t<div class="label">신간안내</div>\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<div class="imgBoxSt01">\n\t\t\t\t\t\t\t<img src="/kor/upload/board/board_mainImage_1629356148076.jpg" alt="">\n\t\t\t\t\t\t\t<div class="imgDim">\n\t\t\t\t\t\t\t\t<div class="icoWrap">\n\t\t\t\t\t\t\t\t\t<a href="/kor/news/detail.do?seq=2151714&category=NEWS&page=1">\n\t\t\t\t\t\t\t\t\t\t<img src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png" alt="자세히보기"></a><!--20181217 alt 값 추가-->\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t<div class="boxSt02">\n\t\t\t\t\t\t\t<strong class="titW02">외국인을 위한 성찰과 표현</strong>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t</ul>\n\t\t</div>\n\t</section>\n\n\t<section class="mainSec04">\n\t\t<div class="container">\n\t\t\t<form action="">\n\t\t\t\t<label for="email">구독을 신청해 주시면 경희 소식을 전해 드립니다.</label><!--20181214 for 값 입력-->\n\t\t\t\t<div class="inputBox">\n\t\t\t\t\t<input type="email" id="email" placeholder="address@mail.com">\n\t\t\t\t\t<button type="submit" onclick="subscribe();return false;">Application</button>\n\t\t\t\t</div>\n\t\t\t</form>\n\t\t</div>\n\t</section>\n\n\t<section class="mainSec05">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">Multimedia</h2>\n\t\t\t<ul class="mainList05">\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t<li class="bigW">\n\t\t\t\t\t\t\t<div class="bgWrap">\n\t\t\t\t\t\t\t\t<a href="/kor/video/list.do?category=VIDEO_GALLERY_02&sortColumn=orderNo&sortOrder=ASC&seq=2146997">\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_mainImage_1613975799202.jpg" alt="">\n\t\t\t\t\t\t\t\t\t<div class="decoPlay">\n\t\t\t\t\t\t\t\t\t\t<img src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png" alt="">\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\t<div class="caption">\n\t\t\t\t\t\t\t\t\t\t<span>영상</span> <img src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png" alt="">\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong class="guideTit01">Review 2020</strong>\n\t\t\t\t\t\t\t<p class="guide02">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\u3000\n\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t</li>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t<li class="smallW small01">\n\t\t\t\t\t\t\t<div class="bgWrap">\n\t\t\t\t\t\t\t\t<a href="/kor/cardNews/list.do?seq=2152900">\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_mainImage_1631751726302.jpg" alt="">\n\t\t\t\t\t\t\t\t\t<div class="caption">\n\t\t\t\t\t\t\t\t\t\t<span>카드뉴스</span> <img src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png" alt="">\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong class="guideTit01">‘전환문명의 전위, 어디를 ...</strong>\n\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t경희가 오는 9월 17일부터 12월까지 ‘제40회 UN 세계평화의 날 기념 Peace BA...\n\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t</li>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t<li class="smallW small02">\n\t\t\t\t\t\t\t<div class="bgWrap">\n\t\t\t\t\t\t\t\t<a href="/kor/photo/list.do?seq=2152314">\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_mainImage_1630994757203.jpg" alt="">\n\t\t\t\t\t\t\t\t\t<div class="caption">\n\t\t\t\t\t\t\t\t\t\t<span>포토갤러리</span> <img src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png" alt="">\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong class="guideTit01">여름 풍경</strong>\n\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\u3000\n\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t</li>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t</ul>\n\t\t</div>\n\t</section>\n\t<section class="mainSec06">\n\t\t<div class="container">\n\t\t\t<ul class="snsIcoW clearfix">\n\t\t <li class="sns06 on">\n\t\t <a href="#">인스타그램</a><!--20210311 text 추가-->\n\t\t </li>\n\t\t <li class="sns04">\n\t\t <a href="#">유튜브</a><!--20181217 text 추가-->\n\t\t </li>\n\t\t <li class="sns01">\n\t\t <a href="#">페이스북</a><!--20181217 text 추가-->\n\t\t </li>\n\t\t <li class="sns03">\n\t\t <a href="#">블로그</a><!--20181217 text 추가-->\n\t\t </li>\n\t\t <li class="sns05">\n\t\t <a href="#">링크드인</a><!--20181217 text 추가-->\n\t\t </li>\n\t\t <li class="sns02">\n\t\t <a href="#">트위터</a><!--20181217 text 추가-->\n\t\t </li>\n\t\t\t</ul>\n\t\t\t<ul class="snsSlide">\n\t\t\t\t\n\t\t\t\t<li class="snsW06">\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://www.instagram.com/p/CTy7MlNBKFB/?utm_source=ig_web_copy_link" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo06.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855520789.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>\n\t\t\t\t\t\t\t\t\t\t<p>#코로나19 #이전 #경희생활</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t<li class="snsW04">\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://youtu.be/yXy-UnaArXc" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo04.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855658002.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>\n\t\t\t\t\t\t\t\t\t\t<p>#총장과의 #대화</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="snsW01">\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://www.facebook.com/kyungheeuniv/posts/4770470646307788" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo01.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855541594.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[경희 FOCUS] 욘사마, 싸이, BTS 다음은?</strong>\n\t\t\t\t\t\t\t\t\t\t<p>#문과대학 #K컬처스토리콘텐츠연구소 #국어국문학과 #한류</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="snsW03">\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://blog.naver.com/khublog/222508923238" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo03.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855642107.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>\n\t\t\t\t\t\t\t\t\t\t<p>#퍼가라옹 #해피추석</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="snsW05" style="float: left; list-style: none; position: relative; width: 1160px;">\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://www.linkedin.com/feed/update/urn:li:activity:6844073067304497152" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo05.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855672626.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>\n\t\t\t\t\t\t\t\t\t\t<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="snsW02">\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://twitter.com/khuniv/status/1438371597635620864?s=20" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo02.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855558047.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>\n\t\t\t\t\t\t\t\t\t\t<p>#UN #세계평화의날 #국제회의 #PBF</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t</ul>\n\t\t</div>\n\t</section>\n\n\t<section class="mainSec07">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">Quick Menu</h2>\n\t\t\t<div class="tabType06">\n\t\t\t\t<ul class="tab clearfix">\n\t\t\t\t\t<li class="on">\n\t\t\t\t\t\t<a href="#">학생(서울)</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">학생(국제)</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">교직원</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">예비경희인</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">일반인</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">동문</a>\n\t\t\t\t\t</li>\n\t\t\t\t</ul>\n\t\t\t\t<div class="tabCon first">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531365031560.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>학생회</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="https://e-campus.khu.ac.kr" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1536820999734.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>e-campus</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://kyunghee.certpia.com/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531368893838.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>인터넷 증명발급센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531368988001.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>장학/융자</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://healthsc.khu.ac.kr/html_2014/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369031825.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>건강센터(서울)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://library.khu.ac.kr/seoul" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369085502.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>중앙도서관(서울)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://goodjob.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369120543.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>미래인재센터(서울)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://counsell.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369148025.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>심리상담연구소(서울)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872062509.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>학생회</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="https://e-campus.khu.ac.kr" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1536821068214.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>e-campus</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://kyunghee.certpia.com/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872114125.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>인터넷 증명발급센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872146586.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>장학/융자</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://health.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872173593.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>건강센터(국제)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://library.khu.ac.kr/global" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872209533.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>중앙도서관(국제)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://goodjob.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872245144.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>미래인재센터(국제)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://counsel.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872274832.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>학생생활상담(국제)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://clean.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369229822.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>부정청탁신고센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369248917.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>교내전화번호</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="https://khctl.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369270415.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>교수학습지원센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://khu.certpia.com" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369310465.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>교직원 증명발급센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://rule.khu.ac.kr/lmxsrv/main/main.do" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369355982.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>규정관리시스템</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://union.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531370965900.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>노동조합</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://info21.khu.ac.kr/placeRsv/fcspReservation2.html" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531370990530.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>장소예약시스템</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://k-recruit.khu.ac.kr/hjis2/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371013813.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>채용시스템</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://give.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1586222550986.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>GIVE경희</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371209428.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>경희뉴스</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371231281.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>교내전화번호</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://media.khu.ac.kr/khunews/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371253334.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>대학주보</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://iphak.khu.ac.kr/intro.do" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371277917.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>입학처</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://museum.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371300338.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>중앙박물관</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://khupress.com/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371320459.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>출판문화원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371348101.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>캠퍼스안내</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://give.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1586222622456.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>GIVE경희</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://museum.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371416234.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>중앙박물관</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://nhm.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371441890.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>자연사박물관</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371497131.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>평생교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://cce.khu.ac.kr/html/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371526836.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>글로벌미래교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://www.iie.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371550067.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>국제교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371574258.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>교내전화번호</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371600431.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>캠퍼스안내</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://give.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1586222636928.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>GIVE경희</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://oiak.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371666149.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>국제교류처</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://www.khua.or.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371688920.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>총동문회</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://kyunghee.certpia.com/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371713863.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>인터넷 증명발급센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371737293.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>평생교육원/언어교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://cce.khu.ac.kr/html/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371761092.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>글로벌미래교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://www.iie.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371785633.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>국제교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://clean.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371807725.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>부정청탁신고센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t</div>\n\t\t</div>\n\t</section>\n\t<section class="mainSec08">\n\t\t<div class="container">\n\t\t\t<p class="titW">\n\t\t\t\t<strong>새로운 미래를 여는 경희대학교</strong>\n\t\t\t\t지금 온라인에서 경험해 보세요.\n\t\t\t</p>\n\t\t\t<a href="http://iphak.khu.ac.kr/PageLink.do?menuNo=10720301&link=/PageLink.do?link=psnt/CampusTourInfo " class="btn10" target="_blank" title="새 창 열기">투어신청하기</a>\n\t\t\t<a href="http://www.khu.ac.kr/kor/video/list.do?category=VIDEO_GALLERY_02&subCategory=VG_02_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC " class="videoLink fontMer" target="_blank">\n\t\t\t\t<img src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png" alt="">\n\t\t\t\t<span>Experience Kyung Hee</span>\n\t\t\t</a>\n\t\t</div>\n\t</section>\n</main>\n\n<!-- 2019.07.22 팝업 추가 -->\n\n<!-- //2019.07.22 팝업 추가 -->\n\n<script>\nfunction loginCheck(){\n\tform = document.gLogin;\n\tif(form.user_id.value==\'\'){\n\t\talert("아이디를 입력하세요");\n\t\tform.user_id.focus();\n\t}else if(form.user_pass.value==\'\'){\n\t\talert("비밀번호를 입력하세요");\n\t\tform.user_pass.focus();\n\t}else{\n\t\tform.submit();\n\t}\n}\n\nfunction loginCheckA(){\n\tform = document.authLogin;\n\tif(form.LoginID.value ==""){\n\t\talert("아이디나 학번을 입력하세요");\n\t\tform.LoginID.focus();\n\t}else{\n\t\tform.submit();\n\t}\n}\n</script>\n\n<script>\n\tvar subscribe = function(){\n\t\tvar email = document.getElementById("email").value;\n\t\tif (!validateEmail(email)) {\n\t\t\talert("이메일 주소를 입력해 주세요.");\n\t\t\tdocument.getElementById("email").focus();\n\t\t\treturn false;\n\t\t}\n\n\t\tredirect = "/kor/info/content/subscribe.do"+"#"+email;\n\t\ttop.location = redirect;\n\t};\n\n\n\tvar validateEmail = function(email) {\n\t\tvar re = /^(([^<>()[\\]\\\\.,;:\\s@\\"]+(\\.[^<>()[\\]\\\\.,;:\\s@\\"]+)*)|(\\".+\\"))@((\\[[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}\\])|(([a-zA-Z\\-0-9]+\\.)+[a-zA-Z]{2,}))$/;\n\n\t\treturn re.test(email);\n\t}\n\t\n\t//close popup\n\tfunction close_popup(btn){\n\t\tbtn.parentNode.parentNode.style.display = 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ALL RIGHT RESERVED.</p>\n \t\t</div>\n \t</div>\n \t\n</footer>\n<!-- 로그분석 google -->\n<script type="text/javascript">\n\n var _gaq = _gaq || [];\n _gaq.push([\'_setAccount\', \'UA-34159355-1\']);\n _gaq.push([\'_trackPageview\']);\n\n (function() {\n var ga = document.createElement(\'script\'); ga.type = \'text/javascript\'; ga.async = true;\n ga.src = (\'https:\' == document.location.protocol ? \'https://ssl\' : \'http://www\') + \'.google-analytics.com/ga.js\';\n var s = document.getElementsByTagName(\'script\')[0]; s.parentNode.insertBefore(ga, s);\n })();\n\n</script>\n<!-- //로그분석 google -->\n <!-- FOOTER :: END -->\n<form id="news" action="/main.do" method="post">\n <input id="newsId" name="newsId" type="hidden" value="0"/>\n</form>\n<form id="notice" action="/main.do" method="post">\n <input id="noticeId" name="noticeId" type="hidden" value="0"/>\n <input id="category" name="category" type="hidden" value=""/>\n</form>\n<form id="lecture" action="/main.do" method="post">\n <input id="lectureType" name="lectureType" type="hidden" value=""/>\n <input id="lectureId" name="lectureId" type="hidden" value="0"/>\n</form>\n<form id="planning" action="/main.do" method="post">\n <input id="planningType" name="planningType" type="hidden" value=""/>\n <input id="planningId" name="planningId" type="hidden" value="0"/>\n</form>\n<form id="event" action="/main.do" method="post">\n <input id="eventType" name="eventType" type="hidden" value=""/>\n <input id="eventId" name="eventId" type="hidden" value="0"/>\n</form>\n</div>\n<script type="text/javascript">\n \n \n window.onclick_main_space21 = function(){\n window.open(\'http://s21khu.ac.kr/\');\n }\n</script>\n\n\n\t\n\t\n</div>\n\n<script>\n\t$(document).ready(function(){\n\t\tif(getCookie("hideToday") != "true"){\n\t\t\t$("body").attr("class", "noScroll");\n\t\t\t$(".gateWrap").show();\n\t\t}else{\n\t\t\t$(".gateWrap").hide();\n\t\t}\n\t\t\n\t\tif($(\'.gateWrap\').val() == undefined){\n\t\t\t$("body").removeClass("noScroll");\n\t\t}\n\t});\n</script>\n<script>\n\tvar getCookie = function(name){\n\t\tvar nameOfCookie = name + "=";\n\t\tvar x = 0;\n\t\twhile(x<= document.cookie.length){\n\t\t\tvar y = (x + nameOfCookie.length);\n\t\t\tif (document.cookie.substring(x, y) == nameOfCookie){\n\t\t\t\tif ((endOfCookie = document.cookie.indexOf(";", y)) == -1)\n\t\t\t\t\tendOfCookie = document.cookie.length;\n\t\t\t\treturn unescape(document.cookie.substring(y, endOfCookie));\n\t\t\t}\n\t\t\tx = document.cookie.indexOf( " ", x ) + 1;\n\t\t\tif ( x == 0 )\n\t\t\t\tbreak;\n\t\t}\n\t\treturn "";\n\t};\n\t\n\tvar setCookie = function(name, value, domain, expiredays){\t\n\t\tvar todayDate = new Date();\n\t\ttodayDate.setDate(todayDate.getDate() + expiredays);\n\t\tdocument.cookie = name + "=" + escape( value ) + "; path=/; domain=" + domain + "; expires=" + todayDate.toGMTString() +";"\n\t};\n\n\tvar closeGateway = function(){\n\t\t$("body").removeClass("noScroll")\n\t\t$(".gateWrap").remove();\n\t};\n\tvar hideToday = function(){\n\t\tsetCookie("hideToday", "true", "", 1);\n\t\tcloseGateway();\n\t\twindow.scrollTo(0, 0);\n\t};\n\t\n\n</script>\n</body>\n</html>'
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'\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<!DOCTYPE html>\n<html lang="ko">\n<head>\n\t<meta charset="utf-8">\n\t<title>경희대학교</title>\n\t<meta http-equiv="X-UA-Compatible" content="IE=edge">\n\t<meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0, maximum-scale=1.0, user-scalable=no">\n\t<link rel="shortcut icon" href="/kor/resources/user/img/favicon.ico" type="image/x-icon">\n\t<link rel="stylesheet" href="/kor/resources/user/css/jquery.bxslider.css">\n\t<link rel="stylesheet" href="/kor/resources/user/css/base.css">\n\t<link rel="stylesheet" href="/kor/resources/user/css/common.css">\n\t<link rel="stylesheet" href="/kor/resources/user/css/contents.css">\n\t<link rel="stylesheet" href="/kor/resources/user/css/jquery.mCustomScrollbar.css">\n\t<script src="/kor/resources/user/js/jquery-1.11.2.min.js"></script>\n\t<script src="/kor/resources/user/js/jquery.mCustomScrollbar.concat.min.js"></script>\n\t<script src="/kor/resources/user/js/jquery.bxslider.min.js"></script>\n\t<script src="/kor/resources/user/js/style.js"></script>\n\t<!--[if lt IE 9]>\n\t\t<script src="/kor/resources/user/js/respond.js"></script>\n\t\t<script src="/kor/resources/user/js/html5shiv.min.js"></script>\n\t<![endif]-->\n\t<script src="https://ajax.googleapis.com/ajax/libs/webfont/1.6.16/webfont.js"></script>\n\t<script>\n\t\tWebFont.load({\n\t\t custom: {\n\t\t families: [\'notokr\'],\n\t\t urls: [\'/kor/resources/user/font/notokr-black.eot\', \'/kor/resources/user/font/notokr-bold.eot\']\n\t\t }\n\t\t});\n\t</script>\n\t<script>\n\t\tvar browser = \'Python-urllib/3.8\';\n\t\tvar uri \t= \'/kor/main/index.do\';\n\t\tvar ip \t\t= \'163.180.96.207\';\n\t\tvar lang \t= \'ko\';\n\t\tvar context\t= \'/kor\';\n\t</script>\n\t\n\t<!-- event 수정 20200422 S -->\n\t<script type="text/javascript">\n\t\t$(document).ready(function() {\t\t\t\n\t\t\t$(".eventAct").on("click", function() {\n\t\t\t\tif ($(".eventTop").hasClass("minArea")) {\t\t\t\t\t\n\t\t\t\t\t\t$(".eventTop").removeClass(\'minArea\');\n\t\t\t\t\t}else{\n\t \t\t\t\t$(".eventTop").addClass(\'minArea\');\n\t \t\t};\n\t\t\t});\t\t\t \n\t\t});\n\t</script>\n<!-- event 수정 20200422 E -->\n</head>\n<body class="">\n<nav class="skip">\n\t<ul>\n\t\t<li><a href="#contents">본문 바로가기</a></li>\n\t</ul>\n</nav>\n\n\n\n<div class="wrap">\n\t\n\t\n\t\n\n\n\n\n\n\n\n<script>\nfunction search(el){\n\tif(event.keyCode==13){\n\t\tdocument.sf.q.value=el.value;\n\t\tdocument.sf.submit();\n\t}\n}\n</script>\n\n<header class="head">\n\t<div class="mobileTopW">\n\t\t<div class="container clearfix">\n\t\t\t<h1 class="logo">\n\n\t\n\t\n\t\t<a href="/kor/main/index.do"><img src="/kor/resources/user/img/pc/common/logo.png" class="pc" alt="경희대학교"><img src="/kor/resources/user/img/mobile/common/logo.jpg" class="mobile" alt="경희대학교"></a><!--20181217 태그 수정-->\n\t\n\n\n\t\t\t</h1>\n\t\t\t<div class="search">\n\t\t\t\t<!-- 20181217 추가 -->\n\t\t\t\t<label for="searchInput01" class="hidden">Search Site and People</label>\n\t\t\t\t<input type="search" id="searchInput01" class="inputSearch" placeholder="Search Site & People" \n\t\t\t\tonkeydown="search(this);"><!-- 20181217 id 추가 -->\n\t\t\t\t<button class="btnSearch">search</button><!-- 20181217 href 삭제 -->\n\t\t\t</div>\n\t\t\t<form action="/kor/info/search.do" name="sf">\n\t\t\t\t<input type="hidden" value="011072588127852259059:7bgph6ztzyg" name="cx">\n\t\t\t\t<input type="hidden" value="FORID:10" name="cof">\n\t\t\t\t<input type="hidden" value="UTF-8" name="ie">\n\t\t\t\t<input type="hidden" value="11372" name="m">\n\t\t\t\t<input type="hidden" id="sch-keyword" value="" class="searchTxt" name="q">\n\t\t\t</form>\n\t\t\t<button class="btnMenuM">\n\t\t\t\t<span></span>\n\t\t\t\t<span></span>\n\t\t\t\t<span></span>\n\t\t\t</button>\n\t\t</div>\n\t</div>\n\t<div class="mobileMenuW">\n\t\t<nav class="gnbW">\n \t\t\t<div class="container clearfix">\n \t\t\t\t<ul class="gnb clearfix">\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB01">대학</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/prsd/index.do" target="_self">총장실</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB02">입학</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB03">교육</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/edu/list.do" target="_self">교원검색</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t</ul>\n\t \t\t\t<ul class="gnb gnbRight clearfix">\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB04">연구/산학</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB05">교류/실천</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=449" target="_self">국제 교류</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">행사</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=472" target="_self">입학식</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB06">대학생활</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=527" target="_self">학생지원</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=538" target="_self">동아리</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=543" target="_self">네오르네상스장학</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">도서관/박물관</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">중앙도서관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=548" target="_self">중앙박물관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=549" target="_self">자연사박물관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=551" target="_self">혜정박물관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">경희 역사 갤러리</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=555" target="_self">정보서비스</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">커뮤니티</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">공지사항</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1" target="_self">커뮤니케이션 21</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/forum/list.do?type=TUITION&category=NOTICE&page=1" target="_self">경희포럼</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/wine/form.do" target="_self">경희와인</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/vote/form.do" target="_self">경희 Survey</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/competitionName/form.do" target="_self">경희 공모전</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=564" target="_self">경희미디어</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/focus/list.do?page=1&pageSize=5" target="_self">Focus</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/highlight/list.do?page=1&pageSize=5" target="_self">Highlight</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">카드뉴스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_self">경희뉴스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=574" target="_self">교내언론</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/video/list.do" target="_self">영상</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">포토갤러리</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t</ul>\n \t\t\t</div>\n \t\t\t<div class="bgDepth2">\n \t\t\t\t<div class="decoGnb">\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n \t\t\t\t\t\t<img src="/kor/resources/user/img/pc/common/decoGnb.png" alt="">\n\t\t\t\t \t\n\t\t\t\t\n \t\t\t\t</div>\n \t\t\t</div>\n \t\t</nav>\n \t\t<div class="utilW container">\n \t\t\t<ul class="subMenu clearfix">\n\t\t\t\t<li>\n\t\t\t\t\t<a href="https://www.khu.ac.kr/kor/prsdInquiry/list.do?page=1" target="_blank">열린총장실</a>\n\t\t\t\t</li>\n\t\t\t\t<li>\n\t \t\t\t\t<a href="https://give.khu.ac.kr/" target="_blank">발전기금</a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t \t\t\t\t<a href="https://mail.khu.ac.kr/" target="_blank">웹메일</a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t \t\t\t\t<a href="https://info21.khu.ac.kr/com/LoginCtr/login.do?sso=ok" target="_blank">인포21</a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t \t\t\t\t<a href="https://k-recruit.khu.ac.kr/hjis2/" target="_blank" >채용시스템</a>\n\t \t\t\t</li>\n\t\t\t\t<li>\n\t \t\t\t\t<a href="https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2134768" target="_blank" >코로나19</a>\n\t \t\t\t</li>\n\t\t\t\t<!--\n\t\t\t\t<li>\n\t \t\t\t\t<a href="http://nominate.khu.ac.kr/" target="_blank" >총장후보추천위원회</a>\n\t \t\t\t</li>\n\t\t\t\t\n\t \t\t\t<li>\n\t \t\t\t\t<a href="http://ombuds.khu.ac.kr/html_2013/02/01.php" target="_blank">통합민원</a>\n\t \t\t\t</li>\n-->\n\t \t\t</ul>\n\t \t\t<ul class="util clearfix">\n\t \t\t\t<li>\n\t \t\t\t\t<a href="https://www.khu.ac.kr/eng/main/index.do">English</a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t \t\t\t\t<a href="/kor/info/sitemap.do">Sitemap</a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t\t\t\t\t<a href="/kor/info/login.do" class="btnLogin">Login</a>\n\t\t\t\t\t\n\t \t\t\t</li>\n\t \t\t</ul>\n \t\t</div>\n\t</div>\n</header>\n\n<script>\n\tvar goFirstLink = function(el){\n\n\t\tif($(document).width() <= 1239) return;\n\n\t\tvar firstAnchor = $(el).next().find("a").first();\n\n\t\tvar link = firstAnchor.attr("href");\n\t\tif(typeof link == "undefined"){\n\t\t}else{\n\t\t\tlocation.href = link;\n\t\t}\n\t};\n</script>\n\n\t\n\t\n\t<div class="contW">\n\t\n\t\t\n\t\t\n\n\n\n\n\n\n<style>\n/* style for quick menu */\n\n.mainSec01 .mainRoundL01 .icoW.icoR1 {\n background-image: url(/kor/upload/link/link_normalImage_1586222636928.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR1 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR2 {\n background-image: url(/kor/upload/link/link_normalImage_1531371666149.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR2 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR3 {\n background-image: url(/kor/upload/link/link_normalImage_1531371688920.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR3 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR4 {\n background-image: url(/kor/upload/link/link_normalImage_1531371713863.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR4 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR5 {\n background-image: url(/kor/upload/link/link_normalImage_1531371737293.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR5 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR6 {\n background-image: 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url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR7 {\n background-image: url(/kor/upload/link/link_normalImage_1531872245144.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR7 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR8 {\n background-image: url(/kor/upload/link/link_normalImage_1531872274832.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR8 {\n background-image: url(/kor/upload);\n}\n\n\n</style>\n\n\t<!-- main visual area -->\n\t<section class="mainSlideW">\n\t\t<ul class="mainSlide">\n\t\t\t\n\t\t\t\t<li class="slide01" style="background-image: url(/kor/upload/catalog/catalog_file_1631837907936.jpg);">\n\t\t\t\t\t\n\t\t\t\t\t<a href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152897&page=1&pageSize=5" \n\t\t\t\t\t\t\ttarget="_blank" class="fadeInDown">\n\t\t\t\t\t\t<strong class="slideTit" style="color:#ffffff">\u3000</strong>\n\t\t\t\t\t\t<p class="slideTxt" style="color:#ffffff">\u3000</p>\n\t\t\t\t\t</a>\n\t\t\t\t</li>\n\t\t\t\n\t\t\t\t<li class="slide02" style="background-image: url(/kor/upload/catalog/catalog_file_1631148167743.jpg);">\n\t\t\t\t\t\n\t\t\t\t\t<a href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152297" \n\t\t\t\t\t\t\ttarget="_blank" class="fadeInDown">\n\t\t\t\t\t\t<strong class="slideTit" style="color:#ffffff">인생의 한 페이지이자, 삶의 터전 경희를 떠나며</strong>\n\t\t\t\t\t\t<p class="slideTxt" style="color:#ffffff">교원 정년퇴임식, 교수님의 노고에 감사드립니다</p>\n\t\t\t\t\t</a>\n\t\t\t\t</li>\n\t\t\t\n\t\t\t\t<li class="slide03" style="background-image: url(/kor/upload/catalog/catalog_file_1605247095082.jpg);">\n\t\t\t\t\t\n\t\t\t\t\t<a href="http://card.cakecomms.com/kyunghee_cheerforjuniors2020_2/card" \n\t\t\t\t\t\t\ttarget="_blank" class="fadeInDown">\n\t\t\t\t\t\t<strong class="slideTit" style="color:#ffffff">\u3000</strong>\n\t\t\t\t\t\t<p class="slideTxt" style="color:#ffffff">▶ 카드뉴스 바로가기 </p>\n\t\t\t\t\t</a>\n\t\t\t\t</li>\n\t\t\t\n\t\t\t\t<li class="slide04" style="background-image: url(/kor/upload/catalog/catalog_file_1631154596666.jpg);">\n\t\t\t\t\t\n\t\t\t\t\t<a href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152427&page=1" \n\t\t\t\t\t\t\ttarget="_blank" class="fadeInDown">\n\t\t\t\t\t\t<strong class="slideTit" style="color:#ffffff">양자 정보로 찾아낸 최적의 투자 포트폴리오</strong>\n\t\t\t\t\t\t<p class="slideTxt" style="color:#ffffff">강누리·이건호·조우현 학생, ‘2021 양자정보경진대회’ 우수상 수상\n</p>\n\t\t\t\t\t</a>\n\t\t\t\t</li>\n\t\t\t\n\t\t\t\t<li class="slide05" style="background-image: url(/kor/upload/catalog/catalog_file_1631146412390.jpg);">\n\t\t\t\t\t\n\t\t\t\t\t<a href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152133&page=1" \n\t\t\t\t\t\t\ttarget="_self" class="fadeInDown">\n\t\t\t\t\t\t<strong class="slideTit" style="color:#ffffff">환자 돕는 기술 개발 의욕으로 챗봇 개발한 한의 군의관</strong>\n\t\t\t\t\t\t<p class="slideTxt" style="color:#ffffff">육군 대위 이현훈 학생(대학원 임상한의학과 박사 수료), 의료용 인공지능 챗봇 개발</p>\n\t\t\t\t\t</a>\n\t\t\t\t</li>\n\t\t\t\n\t\t</ul>\n\t</section>\n\t<!-- main visual area -->\n\n\n<main role="main" class="mainContW" id="contents">\n\t<section class="mainSec01">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">Focus<a href="/kor/focus/list.do?page=1&pageSize=5" class="btnMore">더보기</a></h2>\n\t\t\t<ul class="mainList01 clearfix">\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="/kor/focus/detail.do?seq=2152922">\n\t\t\t\t\t\t\t<div class="listImgW">\n\t\t\t\t\t\t\t\t<img src="/kor/upload/board/board_mainImage_1631757522160.jpg" alt="">\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong>코로나 시대, 슬기로운 대학 생...</strong>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<p class="txtW">\n\n\t\n9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="/kor/focus/detail.do?seq=2152259">\n\t\t\t\t\t\t\t<div class="listImgW">\n\t\t\t\t\t\t\t\t<img src="/kor/upload/board/board_mainImage_1630906938516.jpg" alt="">\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong>금 나노 입자 활용한 표면 버블...</strong>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<p class="txtW">\n\n전자공학과 이응규 교수가 금 나노 입자를 활용해 표면 버블을 만드는 원리를 규명했다. 이번 연구는 나노 분야 세계적인 ...</p>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="/kor/focus/detail.do?seq=2152249">\n\t\t\t\t\t\t\t<div class="listImgW">\n\t\t\t\t\t\t\t\t<img src="/kor/upload/board/board_mainImage_1630896475547.jpg" alt="">\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong>HK+연구단, 옥스퍼드대 마크 ...</strong>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<p class="txtW">\n\nHK+통합의료인문학연구단이 영국 옥스퍼드대학교 마크 해리슨 교수와 국제 공동연구 프로젝트를 진행한다. 이번 연구는 해리...</p>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\n\t\t\t</ul>\n\t\t</div>\n\t</section>\n\n\t<section class="mainSec02">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">Announcements</h2>\n\t\t\t<div class="tabType05">\n\t\t\t\t<ul class="tab clearfix">\n\t\t\t\t\t<li class="on">\n\t\t\t\t\t\t<a href="#">일반</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">장학</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li >\n\t\t\t\t\t\t<a href="#">학사</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">행사</a>\n\t\t\t\t\t</li>\n\t\t\t\t</ul>\n\t\t\t\t<div class="tabCon first">\n\t\t\t\t\t<ul class="mainList02 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">교원 상시채용 Pool 등록</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.06.30</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=GENERAL&seq=2150417" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">경희 글쓰기클리닉 프로그램 신청 안내(10....</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.23</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t경희 글쓰기 클리닉 프로그램 신청 안내 ‘코로나 19’의 전세계적인 확산으로 사회적...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=GENERAL&seq=2153020" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[추천채용] ㈜피씨디렉트 신입사원 채용</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.23</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t ㈜피씨디렉트 신입사원을 모집할 예정이며, 본교로 추천의뢰가 들어왔습니다. 이에 관심 있는...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=GENERAL&seq=2153014" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[국제교류팀] 경희대학교 학생을 위한 공식 ...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.23</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\tETS에서 경희대학교 학생을 위한 공식 GRE 설명회를 개최합니다.해외 대학원 및 경영대학...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=GENERAL&seq=2153013" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList02 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[서울]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[서울][대외][~10.29] 2021학년도...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.17</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t&lt; 2021년도 (재)원장재단 장학생 선발 공고 &gt;(재)원장재단은 서울시 소재 ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152954" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[한방재료가공 학교기업] 2021-2학기 국...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.15</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t한방재료가공 학교기업에서 2021학년도 2학기 국가근로학생을 모집합니다. 1. 모집인원 :...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152881" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[공통][대외][~9.30] 2021년 고속...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.14</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t&lt; 2021년도 (재)고속도로장학재단 고속도로 장학생 선발 안내 &gt;1. 신청자격...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152795" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[국제][대외][~9.28]2021년 하나금...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.13</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t2021년 국내 하나장학생 선발안내 Ⅰ. 하나장학금 개요 ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152727" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList02 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">2021학년도 2학기 본전공(1전공) 선택 ...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.23</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2153019" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">2021학년도 2학기 다전공/트랙이수 신청 ...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.23</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2153017" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">2021학년도 2학기 최종 등록 기간 안내</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.10</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t2021학년도 2학기 최종 등록 기간 안내 (재학생 및 복학생)1. 등록금 납부 기간 : ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2152557" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">2021학년도 2학기 필수교과(기초교과) 이...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.09</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t2021학년도 2학기 필수교과(기초교과) 이수면제 신청 안내 1. 이수면제 대상과목...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2152416" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList02 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">Peace BAR Festival 2021(...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.16</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t \n\n\n\n\t\n\t\t\nVisit the website ☞ pbf.khu.ac.kr ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=EVENT&seq=2152921" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">제40회 UN 세계평화의 날 기념 국제회의(...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.15</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t \n\n\n\n\t\n\t\t\n웹사이트 방문 ☞ pbf.khu.ac.kr \n ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=EVENT&seq=2152882" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">코로나 시대, 슬기로운 대학생활을 위한 총장...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.08.31</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\n\n \n\n\n\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=EVENT&seq=2152088" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">2021 대학박물관진흥지원사업-경희대 중앙박...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.08.30</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t아래 링크로 연결됩니다.http://museum.khu.ac.kr/contents/bbs/...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=EVENT&seq=2152058" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t</div>\n\t\t</div>\n\t</section>\n\n\t<section class="mainSec09">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">Link</h2>\n\t\t\t<ul class="mainList09">\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://ipsi5.uwayapply.com/foreign/khu/?CHA=1" target="_blank">\n\t\t\t\t\t\t\t2022-1(1차) 외국인 신편입학 원서접수 \n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://sugang.khu.ac.kr" target="_blank">\n\t\t\t\t\t\t\t2021-2학기 학부 수강신청\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="https://www.khu.ac.kr/upload/notice/2021_NCSI_Notice.pdf" target="_blank">\n\t\t\t\t\t\t\t2021 경희대학교 개선 과제\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://www.khu.ac.kr/upload/notice/HumanitasCollege_2021_01.pdf" target="_self">\n\t\t\t\t\t\t\t후마니타스칼리지 가이드북\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://igkh.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t대학원혁신지원사업단\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="noAfter">\n\t\t\t\t\t\t<a href="http://goodjob.khu.ac.kr" target="_self">\n\t\t\t\t\t\t\t취업진로정보\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://janghak.khu.ac.kr/" target="_self">\n\t\t\t\t\t\t\t교내장학 신청\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://www.kosaf.go.kr/" target="_self">\n\t\t\t\t\t\t\t학자금대출/국가장학금 신청\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="https://eip.khu.ac.kr" target="_blank">\n\t\t\t\t\t\t\t대학혁신지원사업\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://ombuds.khu.ac.kr/" target="_self">\n\t\t\t\t\t\t\t경희옴부즈/통합민원\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://research.khu.ac.kr/board/bbs/board.php?bo_table=06_02" target="_self">\n\t\t\t\t\t\t\t국가 R&D사업 공고\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="noAfter">\n\t\t\t\t\t\t<a href="http://lincplus.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\tLINC+사업단\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="https://give.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t발전기금(GIVE경희)\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t</ul>\n\t\t</div>\n\n\t</section>\n\n\t<section class="mainSec03">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">News</h2>\n\t\t\t<ul class="mainList03 clearfix">\n\t\t\t\t<li>\n\t\t\t\t\t<div class="label">언론</div>\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<div class="boxSt01">\n\t\t\t\t\t\t\t<a href="/kor/news/detail.do?seq=2152961&category=PRESS&page=1">\n\t\t\t\t\t\t\t\t<strong class="titW">[9/17] 코로나시대 지식생태학…“지성보다 야성적 사고 필요해...</strong>\n\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t<span class="date">2021.09.17</span>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\n\n\n \n \n\t\t\n\t\t\t\n\t\t\n\t\n\t\n...\n\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="color02">\n\t\t\t\t\t<div class="label">경희광고</div>\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<div class="imgBoxSt01">\n\t\t\t\t\t\t\t<img src="/kor/upload/board/board_mainImage_1631845808243.jpg" alt="">\n\t\t\t\t\t\t\t<div class="imgDim">\n\t\t\t\t\t\t\t\t<div class="icoWrap">\n\t\t\t\t\t\t\t\t\t<a href="/kor/news/list.do?category=ADVERTISING&page=1" target="_blank"">\n\t\t\t\t\t\t\t\t\t\t<img src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png" alt="자세히보기"></a><!--20181217 alt 값 추가-->\n\t\t\t\t\t\t\t\t\t<a href="/kor/download.do?seq=2152959" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<img src="/kor/resources/user/img/pc/contents/ico/icoMainDown.png" alt="다운로드"></a><!--20181217 alt 값 추가-->\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t<div class="boxSt02">\n\t\t\t\t\t\t\t<strong class="titW01">전환문명의 전위, 어디를 향...</strong>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="color03">\n\t\t\t\t\t<div class="label">e-News</div>\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t<div class="boxSt01">\n\t\t\t\t\t\t\t\t<a href="/kor/news/detail.do?seq=2152942&category=ENEWS&page=1">\n\t\t\t\t\t\t\t\t\t<strong class="titW">[Kyung Hee e-News No.218] 인생의 한 페이지...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.16</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="color04">\n\t\t\t\t\t<div class="label">신간안내</div>\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<div class="imgBoxSt01">\n\t\t\t\t\t\t\t<img src="/kor/upload/board/board_mainImage_1629356148076.jpg" alt="">\n\t\t\t\t\t\t\t<div class="imgDim">\n\t\t\t\t\t\t\t\t<div class="icoWrap">\n\t\t\t\t\t\t\t\t\t<a href="/kor/news/detail.do?seq=2151714&category=NEWS&page=1">\n\t\t\t\t\t\t\t\t\t\t<img src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png" alt="자세히보기"></a><!--20181217 alt 값 추가-->\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t<div class="boxSt02">\n\t\t\t\t\t\t\t<strong class="titW02">외국인을 위한 성찰과 표현</strong>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t</ul>\n\t\t</div>\n\t</section>\n\n\t<section class="mainSec04">\n\t\t<div class="container">\n\t\t\t<form action="">\n\t\t\t\t<label for="email">구독을 신청해 주시면 경희 소식을 전해 드립니다.</label><!--20181214 for 값 입력-->\n\t\t\t\t<div class="inputBox">\n\t\t\t\t\t<input type="email" id="email" placeholder="address@mail.com">\n\t\t\t\t\t<button type="submit" onclick="subscribe();return false;">Application</button>\n\t\t\t\t</div>\n\t\t\t</form>\n\t\t</div>\n\t</section>\n\n\t<section class="mainSec05">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">Multimedia</h2>\n\t\t\t<ul class="mainList05">\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t<li class="bigW">\n\t\t\t\t\t\t\t<div class="bgWrap">\n\t\t\t\t\t\t\t\t<a href="/kor/video/list.do?category=VIDEO_GALLERY_02&sortColumn=orderNo&sortOrder=ASC&seq=2146997">\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_mainImage_1613975799202.jpg" alt="">\n\t\t\t\t\t\t\t\t\t<div class="decoPlay">\n\t\t\t\t\t\t\t\t\t\t<img src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png" alt="">\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\t<div class="caption">\n\t\t\t\t\t\t\t\t\t\t<span>영상</span> <img src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png" alt="">\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong class="guideTit01">Review 2020</strong>\n\t\t\t\t\t\t\t<p class="guide02">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\u3000\n\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t</li>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t<li class="smallW small01">\n\t\t\t\t\t\t\t<div class="bgWrap">\n\t\t\t\t\t\t\t\t<a href="/kor/cardNews/list.do?seq=2152900">\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_mainImage_1631751726302.jpg" alt="">\n\t\t\t\t\t\t\t\t\t<div class="caption">\n\t\t\t\t\t\t\t\t\t\t<span>카드뉴스</span> <img src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png" alt="">\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong class="guideTit01">‘전환문명의 전위, 어디를 ...</strong>\n\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t경희가 오는 9월 17일부터 12월까지 ‘제40회 UN 세계평화의 날 기념 Peace BA...\n\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t</li>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t<li class="smallW small02">\n\t\t\t\t\t\t\t<div class="bgWrap">\n\t\t\t\t\t\t\t\t<a href="/kor/photo/list.do?seq=2152314">\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_mainImage_1630994757203.jpg" alt="">\n\t\t\t\t\t\t\t\t\t<div class="caption">\n\t\t\t\t\t\t\t\t\t\t<span>포토갤러리</span> <img src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png" alt="">\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong class="guideTit01">여름 풍경</strong>\n\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\u3000\n\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t</li>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t</ul>\n\t\t</div>\n\t</section>\n\t<section class="mainSec06">\n\t\t<div class="container">\n\t\t\t<ul class="snsIcoW clearfix">\n\t\t <li class="sns06 on">\n\t\t <a href="#">인스타그램</a><!--20210311 text 추가-->\n\t\t </li>\n\t\t <li class="sns04">\n\t\t <a href="#">유튜브</a><!--20181217 text 추가-->\n\t\t </li>\n\t\t <li class="sns01">\n\t\t <a href="#">페이스북</a><!--20181217 text 추가-->\n\t\t </li>\n\t\t <li class="sns03">\n\t\t <a href="#">블로그</a><!--20181217 text 추가-->\n\t\t </li>\n\t\t <li class="sns05">\n\t\t <a href="#">링크드인</a><!--20181217 text 추가-->\n\t\t </li>\n\t\t <li class="sns02">\n\t\t <a href="#">트위터</a><!--20181217 text 추가-->\n\t\t </li>\n\t\t\t</ul>\n\t\t\t<ul class="snsSlide">\n\t\t\t\t\n\t\t\t\t<li class="snsW06">\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://www.instagram.com/p/CTy7MlNBKFB/?utm_source=ig_web_copy_link" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo06.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855520789.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>\n\t\t\t\t\t\t\t\t\t\t<p>#코로나19 #이전 #경희생활</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t<li class="snsW04">\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://youtu.be/yXy-UnaArXc" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo04.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855658002.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>\n\t\t\t\t\t\t\t\t\t\t<p>#총장과의 #대화</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="snsW01">\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://www.facebook.com/kyungheeuniv/posts/4770470646307788" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo01.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855541594.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[경희 FOCUS] 욘사마, 싸이, BTS 다음은?</strong>\n\t\t\t\t\t\t\t\t\t\t<p>#문과대학 #K컬처스토리콘텐츠연구소 #국어국문학과 #한류</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="snsW03">\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://blog.naver.com/khublog/222508923238" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo03.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855642107.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>\n\t\t\t\t\t\t\t\t\t\t<p>#퍼가라옹 #해피추석</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="snsW05" style="float: left; list-style: none; position: relative; width: 1160px;">\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://www.linkedin.com/feed/update/urn:li:activity:6844073067304497152" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo05.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855672626.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>\n\t\t\t\t\t\t\t\t\t\t<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="snsW02">\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://twitter.com/khuniv/status/1438371597635620864?s=20" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo02.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855558047.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>\n\t\t\t\t\t\t\t\t\t\t<p>#UN #세계평화의날 #국제회의 #PBF</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t</ul>\n\t\t</div>\n\t</section>\n\n\t<section class="mainSec07">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">Quick Menu</h2>\n\t\t\t<div class="tabType06">\n\t\t\t\t<ul class="tab clearfix">\n\t\t\t\t\t<li class="on">\n\t\t\t\t\t\t<a href="#">학생(서울)</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">학생(국제)</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">교직원</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">예비경희인</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">일반인</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">동문</a>\n\t\t\t\t\t</li>\n\t\t\t\t</ul>\n\t\t\t\t<div class="tabCon first">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531365031560.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>학생회</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="https://e-campus.khu.ac.kr" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1536820999734.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>e-campus</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://kyunghee.certpia.com/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531368893838.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>인터넷 증명발급센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531368988001.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>장학/융자</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://healthsc.khu.ac.kr/html_2014/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369031825.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>건강센터(서울)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://library.khu.ac.kr/seoul" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369085502.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>중앙도서관(서울)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://goodjob.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369120543.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>미래인재센터(서울)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://counsell.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369148025.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>심리상담연구소(서울)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872062509.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>학생회</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="https://e-campus.khu.ac.kr" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1536821068214.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>e-campus</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://kyunghee.certpia.com/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872114125.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>인터넷 증명발급센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872146586.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>장학/융자</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://health.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872173593.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>건강센터(국제)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://library.khu.ac.kr/global" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872209533.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>중앙도서관(국제)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://goodjob.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872245144.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>미래인재센터(국제)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://counsel.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872274832.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>학생생활상담(국제)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://clean.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369229822.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>부정청탁신고센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369248917.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>교내전화번호</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="https://khctl.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369270415.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>교수학습지원센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://khu.certpia.com" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369310465.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>교직원 증명발급센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://rule.khu.ac.kr/lmxsrv/main/main.do" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369355982.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>규정관리시스템</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://union.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531370965900.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>노동조합</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://info21.khu.ac.kr/placeRsv/fcspReservation2.html" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531370990530.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>장소예약시스템</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://k-recruit.khu.ac.kr/hjis2/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371013813.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>채용시스템</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://give.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1586222550986.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>GIVE경희</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371209428.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>경희뉴스</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371231281.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>교내전화번호</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://media.khu.ac.kr/khunews/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371253334.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>대학주보</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://iphak.khu.ac.kr/intro.do" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371277917.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>입학처</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://museum.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371300338.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>중앙박물관</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://khupress.com/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371320459.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>출판문화원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371348101.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>캠퍼스안내</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://give.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1586222622456.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>GIVE경희</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://museum.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371416234.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>중앙박물관</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://nhm.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371441890.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>자연사박물관</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371497131.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>평생교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://cce.khu.ac.kr/html/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371526836.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>글로벌미래교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://www.iie.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371550067.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>국제교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371574258.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>교내전화번호</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371600431.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>캠퍼스안내</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://give.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1586222636928.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>GIVE경희</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://oiak.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371666149.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>국제교류처</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://www.khua.or.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371688920.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>총동문회</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://kyunghee.certpia.com/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371713863.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>인터넷 증명발급센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371737293.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>평생교육원/언어교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://cce.khu.ac.kr/html/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371761092.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>글로벌미래교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://www.iie.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371785633.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>국제교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://clean.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371807725.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>부정청탁신고센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t</div>\n\t\t</div>\n\t</section>\n\t<section class="mainSec08">\n\t\t<div class="container">\n\t\t\t<p class="titW">\n\t\t\t\t<strong>새로운 미래를 여는 경희대학교</strong>\n\t\t\t\t지금 온라인에서 경험해 보세요.\n\t\t\t</p>\n\t\t\t<a href="http://iphak.khu.ac.kr/PageLink.do?menuNo=10720301&link=/PageLink.do?link=psnt/CampusTourInfo " class="btn10" target="_blank" title="새 창 열기">투어신청하기</a>\n\t\t\t<a href="http://www.khu.ac.kr/kor/video/list.do?category=VIDEO_GALLERY_02&subCategory=VG_02_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC " class="videoLink fontMer" target="_blank">\n\t\t\t\t<img src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png" alt="">\n\t\t\t\t<span>Experience Kyung Hee</span>\n\t\t\t</a>\n\t\t</div>\n\t</section>\n</main>\n\n<!-- 2019.07.22 팝업 추가 -->\n\n<!-- //2019.07.22 팝업 추가 -->\n\n<script>\nfunction loginCheck(){\n\tform = document.gLogin;\n\tif(form.user_id.value==\'\'){\n\t\talert("아이디를 입력하세요");\n\t\tform.user_id.focus();\n\t}else if(form.user_pass.value==\'\'){\n\t\talert("비밀번호를 입력하세요");\n\t\tform.user_pass.focus();\n\t}else{\n\t\tform.submit();\n\t}\n}\n\nfunction loginCheckA(){\n\tform = document.authLogin;\n\tif(form.LoginID.value ==""){\n\t\talert("아이디나 학번을 입력하세요");\n\t\tform.LoginID.focus();\n\t}else{\n\t\tform.submit();\n\t}\n}\n</script>\n\n<script>\n\tvar subscribe = function(){\n\t\tvar email = document.getElementById("email").value;\n\t\tif (!validateEmail(email)) {\n\t\t\talert("이메일 주소를 입력해 주세요.");\n\t\t\tdocument.getElementById("email").focus();\n\t\t\treturn false;\n\t\t}\n\n\t\tredirect = "/kor/info/content/subscribe.do"+"#"+email;\n\t\ttop.location = redirect;\n\t};\n\n\n\tvar validateEmail = function(email) {\n\t\tvar re = /^(([^<>()[\\]\\\\.,;:\\s@\\"]+(\\.[^<>()[\\]\\\\.,;:\\s@\\"]+)*)|(\\".+\\"))@((\\[[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}\\])|(([a-zA-Z\\-0-9]+\\.)+[a-zA-Z]{2,}))$/;\n\n\t\treturn re.test(email);\n\t}\n\t\n\t//close popup\n\tfunction close_popup(btn){\n\t\tbtn.parentNode.parentNode.style.display = "none";\n\t}\n</script>\n\n\t\t\n\t\n\t</div>\n\t\n\t\n\t\n\n\n\n\n\n<footer class="foot">\n \t<div class="footMenuW">\n \t\t<div class="container clearfix">\n \t\t\t<ul class="termsList clearfix">\n\t \t\t\t<li>\n\t \t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">교내전화번호 </a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2149761" target="_blank"><b>개인정보처리방침</b></a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t \t\t\t\t<a href="https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=197" target="_blank">대학정보공시</a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t \t\t\t\t<a href="/kor/sub/board.do?MENU_SEQ=199" target="_blank">예결산공고</a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t \t\t\t\t<a href="https://www.khu.ac.kr/kor/forum/list.do?type=BID&page=1" target="_blank">입찰공고</a>\n\t \t\t\t</li>\n\t \t\t</ul>\n\t \t\t<div class="footLinkW clearfix">\n\t \t\t\t<div class="footLinks">\n\t \t\t\t\t<a href="javascript:void(0);" class="btnLinks">교내주요사이트</a>\n\t\t\t\t\t<ul class="linkList">\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="https://e-campus.khu.ac.kr" target="_blank">e-campus</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://ombuds.khu.ac.kr/" target="_blank">경희옴부즈</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://khgsc.khu.ac.kr/" target="_blank">경희지구사회봉사단</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://abeek.khu.ac.kr/" target="_blank">공학교육혁신센터</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://web.khu.ac.kr/~faculty/" target="_blank">교무과</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://khctl.khu.ac.kr/" target="_blank">교수학습지원센터</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://oiak.khu.ac.kr/" target="_blank">국제교류처</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://global.khu.ac.kr/" target="_blank">국제교육원(국제)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.iie.ac.kr/" target="_blank">국제교육원(서울)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://iga.khu.ac.kr/" target="_blank">국제지역연구원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://isom.khu.ac.kr/" target="_blank">국제한의학교육원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href=" https://cce.khu.ac.kr" target="_blank">글로벌미래교육원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://give.khu.ac.kr/" target="_blank">대외협력처</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://gafc.khu.ac.kr/" target="_blank">미래문명원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://vision2020.khu.ac.kr/" target="_blank">미래전략</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="https://goodjob.khu.ac.kr/" target="_blank">미래혁신원 미래인재센터</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://clean.khu.ac.kr/" target="_blank">부정청탁신고센터 </a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://studio.khu.ac.kr/" target="_self">비대면 수업 촬영 예약관리 시스템</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://eduup.khu.ac.kr/" target="_blank">수도권대학 특성화사업</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://wjwdorm.khu.ac.kr " target="_blank">생활관(국제-우정원)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="https://dorm2.khu.ac.kr/" target="_blank">생활관(국제-제2기숙사)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://web.khu.ac.kr/~sam-dom/" target="_blank">생활관(서울-삼의원)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://sewhahall.khu.ac.kr/" target="_blank">생활관(서울-세화원)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://happydorm.khu.ac.kr/" target="_blank">생활관(서울-행복기숙사)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://shelter.khu.ac.kr" target="_blank">성평등상담실(국제)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://web.khu.ac.kr/~happyou/" target="_blank">성평등상담실(서울)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://media.khu.ac.kr/" target="_blank">신문방송국</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="https://ile.khu.ac.kr" target="_blank">언어교육원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://safety.khu.ac.kr" target="_blank">연구실 안전관리 시스템</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://crf.khu.ac.kr/" target="_blank">연구실험지원센터</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://khao.khu.ac.kr/" target="_blank">우주과학교육관</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://crhs.khu.ac.kr/" target="_blank">인류사회재건연구원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://nhm.khu.ac.kr/" target="_blank">자연사박물관</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://ois.khu.ac.kr" target="_blank">정보처</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://clia.khu.ac.kr/" target="_blank">중앙기기센터</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://library.khu.ac.kr/" target="_blank">중앙도서관</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://museum.khu.ac.kr/" target="_blank">중앙박물관</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://khbi.khu.ac.kr/" target="_blank">창업보육센터(국제)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://kbic.khu.ac.kr/" target="_blank">창업보육센터(서울)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://khupress.com/" target="_blank">출판문화원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://ice.khu.ac.kr" target="_blank">평생교육원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://khugpp.khu.ac.kr/" target="_blank">평화의 전당</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://web.khu.ac.kr/~rotc/" target="_blank">학군단(국제)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://web.khu.ac.kr/~rotc108/" target="_blank">학군단(서울)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="https://www.khumall.com" target="_blank">한방재료가공 학교기업</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://oldmaps.khu.ac.kr/" target="_blank">혜정박물관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t \t\t\t</div>\n\t \t\t\t<div class="footLinks">\n\t \t\t\t\t<a href="javascript:void(0);" class="btnLinks">경희대학교 관련기관</a>\n\t\t\t\t\t<ul class="linkList">\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://neo.khmc.or.kr/" target="_blank">강동경희대학교병원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.kyungheeboy.hs.kr" target="_blank">경희고등학교</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.khcu.ac.kr/" target="_blank">경희사이버대학교</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://kyunghee.hs.kr/" target="_blank">경희여자고등학교</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://kyungheegls.ms.kr/" target="_blank">경희여자중학교</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.khu.kg.kr/" target="_blank">경희유치원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.khmc.or.kr/" target="_blank">경희의료원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.kyunghee.ms.kr/" target="_blank">경희중학교</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.kyunghee.es.kr/" target="_blank">경희초등학교</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.khhp.co.kr/" target="_blank">경희한약</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.khua.or.kr/" 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'pt>\n\t<script src="/kor/resources/user/js/style.js"></script>\n\t<!--[if lt IE 9]>\n\t\t<script src="/kor/resources/user/js/respond.js"></script>\n\t\t<script src="/kor/resources/user/js/html5shiv.min.js"></script>\n\t<![endif]-->\n\t<script src="https://ajax.googleapis.com/ajax/libs/webfont/1.6.16/webfont.js"></script>\n\t<script>\n\t\tWebFont.load({\n\t\t custom: {\n\t\t families: [\'notokr\'],\n\t\t urls: [\'/kor/resources/user/font/notokr-black.eot\', \'/kor/resources/user/font/notokr-bold.eot\']\n\t\t }\n\t\t});\n\t</script>\n\t<script>\n\t\tvar browser = \'Python-urllib/3.8\';\n\t\tvar uri \t= \'/kor/main/index.do\';\n\t\tvar ip \t\t= \'163.180.96.207\';\n\t\tvar lang \t= \'ko\';\n\t\tvar context\t= \'/kor\';\n\t</script>\n\t\n\t<!-- event 수정 20200422 S -->\n\t<script type="text/javascript">\n\t\t$(document).ready(function() {\t\t\t\n\t\t\t$(".eventAct").on("click", function() {\n\t\t\t\tif ($(".eventTop").hasClass("minArea")) {\t\t\t\t\t\n\t\t\t\t\t\t$(".eventTop").removeClass(\'minArea\');\n\t\t\t\t\t}else{\n\t \t\t\t\t$(".eventTop").addClass(\'minArea\');\n\t \t\t};\n\t\t\t});\t\t\t \n\t\t});\n\t</script>\n<!-- event 수정 20200422 E -->\n</head>\n<body class="">\n<nav class="skip">\n\t<ul>\n\t\t<li><a href="#contents">본문 바로가기</a></li>\n\t</ul>\n</nav>\n\n\n\n<div class="wrap">\n\t\n\t\n\t\n\n\n\n\n\n\n\n<script>\nfunction search(el){\n\tif(event.keyCode==13){\n\t\tdocument.sf.q.value=el.value;\n\t\tdocument.sf.submit();\n\t}\n}\n</script>\n\n<header class="head">\n\t<div class="mobileTopW">\n\t\t<div class="container clearfix">\n\t\t\t<h1 class="logo">\n\n\t\n\t\n\t\t<a href="/kor/main/index.do"><img src="/kor/resources/user/img/pc/common/logo.png" class="pc" alt="경희대학교"><img src="/kor/resources/user/img/mobile/common/logo.jpg" class="mobile" alt="경희대학교"></a><!--20181217 태그 수정-->\n\t\n\n\n\t\t\t</h1>\n\t\t\t<div class="search">\n\t\t\t\t<!-- 20181217 추가 -->\n\t\t\t\t<label for="searchInput01" class="hidden">Search Site and People</label>\n\t\t\t\t<input type="search" id="searchInput01" class="inputSearch" placeholder="Search Site & People" \n\t\t\t\tonkeydown="search(this);"><!-- 20181217 id 추가 -->\n\t\t\t\t<button class="btnSearch">search</button><!-- 20181217 href 삭제 -->\n\t\t\t</div>\n\t\t\t<form action="/kor/info/search.do" name="sf">\n\t\t\t\t<input type="hidden" value="011072588127852259059:7bgph6ztzyg" name="cx">\n\t\t\t\t<input type="hidden" value="FORID:10" name="cof">\n\t\t\t\t<input type="hidden" value="UTF-8" name="ie">\n\t\t\t\t<input type="hidden" value="11372" name="m">\n\t\t\t\t<input type="hidden" id="sch-keyword" value="" class="searchTxt" name="q">\n\t\t\t</form>\n\t\t\t<button class="btnMenuM">\n\t\t\t\t<span></span>\n\t\t\t\t<span></span>\n\t\t\t\t<span></span>\n\t\t\t</button>\n\t\t</div>\n\t</div>\n\t<div class="mobileMenuW">\n\t\t<nav class="gnbW">\n \t\t\t<div class="container clearfix">\n \t\t\t\t<ul class="gnb clearfix">\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB01">대학</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/prsd/index.do" target="_self">총장실</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB02">입학</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB03">교육</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/edu/list.do" target="_self">교원검색</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t</ul>\n\t \t\t\t<ul class="gnb gnbRight clearfix">\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB04">연구/산학</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB05">교류/실천</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=449" target="_self">국제 교류</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">행사</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=472" target="_self">입학식</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t\t<li>\n\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB06">대학생활</a>\n\t \t\t\t\t\t<div class="depth2">\n\t\t\t\t\t\t\t<ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=527" target="_self">학생지원</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=538" target="_self">동아리</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=543" target="_self">네오르네상스장학</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">도서관/박물관</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">중앙도서관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=548" target="_self">중앙박물관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=549" target="_self">자연사박물관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=551" target="_self">혜정박물관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">경희 역사 갤러리</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=555" target="_self">정보서비스</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">커뮤니티</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">공지사항</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1" target="_self">커뮤니케이션 21</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/forum/list.do?type=TUITION&category=NOTICE&page=1" target="_self">경희포럼</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/wine/form.do" target="_self">경희와인</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/vote/form.do" target="_self">경희 Survey</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/competitionName/form.do" target="_self">경희 공모전</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=564" target="_self">경희미디어</a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/focus/list.do?page=1&pageSize=5" target="_self">Focus</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/highlight/list.do?page=1&pageSize=5" target="_self">Highlight</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">카드뉴스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_self">경희뉴스</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=574" target="_self">교내언론</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/video/list.do" target="_self">영상</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">포토갤러리</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t</ul>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</ul>\n\t \t\t\t\t\t</div>\n\t \t\t\t\t</li>\n\t \t\t\t</ul>\n \t\t\t</div>\n \t\t\t<div class="bgDepth2">\n \t\t\t\t<div class="decoGnb">\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n \t\t\t\t\t\t<img src="/kor/resources/user/img/pc/common/decoGnb.png" alt="">\n\t\t\t\t \t\n\t\t\t\t\n \t\t\t\t</div>\n \t\t\t</div>\n \t\t</nav>\n \t\t<div class="utilW container">\n \t\t\t<ul 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url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR7 {\n background-image: url(/kor/upload/link/link_normalImage_1531872245144.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR7 {\n background-image: url(/kor/upload);\n}\n\n.mainSec01 .mainRoundL01 .icoW.icoR8 {\n background-image: url(/kor/upload/link/link_normalImage_1531872274832.png);\n}\n.mainSec01 .mainRoundL01 li:hover .icoW.icoR8 {\n background-image: url(/kor/upload);\n}\n\n\n</style>\n\n\t<!-- main visual area -->\n\t<section class="mainSlideW">\n\t\t<ul class="mainSlide">\n\t\t\t\n\t\t\t\t<li class="slide01" style="background-image: url(/kor/upload/catalog/catalog_file_1631837907936.jpg);">\n\t\t\t\t\t\n\t\t\t\t\t<a href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152897&page=1&pageSize=5" \n\t\t\t\t\t\t\ttarget="_blank" class="fadeInDown">\n\t\t\t\t\t\t<strong class="slideTit" style="color:#ffffff">\u3000</strong>\n\t\t\t\t\t\t<p class="slideTxt" style="color:#ffffff">\u3000</p>\n\t\t\t\t\t</a>\n\t\t\t\t</li>\n\t\t\t\n\t\t\t\t<li class="slide02" style="background-image: url(/kor/upload/catalog/catalog_file_1631148167743.jpg);">\n\t\t\t\t\t\n\t\t\t\t\t<a href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152297" \n\t\t\t\t\t\t\ttarget="_blank" class="fadeInDown">\n\t\t\t\t\t\t<strong class="slideTit" style="color:#ffffff">인생의 한 페이지이자, 삶의 터전 경희를 떠나며</strong>\n\t\t\t\t\t\t<p class="slideTxt" style="color:#ffffff">교원 정년퇴임식, 교수님의 노고에 감사드립니다</p>\n\t\t\t\t\t</a>\n\t\t\t\t</li>\n\t\t\t\n\t\t\t\t<li class="slide03" style="background-image: url(/kor/upload/catalog/catalog_file_1605247095082.jpg);">\n\t\t\t\t\t\n\t\t\t\t\t<a href="http://card.cakecomms.com/kyunghee_cheerforjuniors2020_2/card" \n\t\t\t\t\t\t\ttarget="_blank" class="fadeInDown">\n\t\t\t\t\t\t<strong class="slideTit" style="color:#ffffff">\u3000</strong>\n\t\t\t\t\t\t<p class="slideTxt" style="color:#ffffff">▶ 카드뉴스 바로가기 </p>\n\t\t\t\t\t</a>\n\t\t\t\t</li>\n\t\t\t\n\t\t\t\t<li class="slide04" style="background-image: url(/kor/upload/catalog/catalog_file_1631154596666.jpg);">\n\t\t\t\t\t\n\t\t\t\t\t<a href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152427&page=1" \n\t\t\t\t\t\t\ttarget="_blank" class="fadeInDown">\n\t\t\t\t\t\t<strong class="slideTit" style="color:#ffffff">양자 정보로 찾아낸 최적의 투자 포트폴리오</strong>\n\t\t\t\t\t\t<p class="slideTxt" style="color:#ffffff">강누리·이건호·조우현 학생, ‘2021 양자정보경진대회’ 우수상 수상\n</p>\n\t\t\t\t\t</a>\n\t\t\t\t</li>\n\t\t\t\n\t\t\t\t<li class="slide05" style="background-image: url(/kor/upload/catalog/catalog_file_1631146412390.jpg);">\n\t\t\t\t\t\n\t\t\t\t\t<a href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152133&page=1" \n\t\t\t\t\t\t\ttarget="_self" class="fadeInDown">\n\t\t\t\t\t\t<strong class="slideTit" style="color:#ffffff">환자 돕는 기술 개발 의욕으로 챗봇 개발한 한의 군의관</strong>\n\t\t\t\t\t\t<p class="slideTxt" style="color:#ffffff">육군 대위 이현훈 학생(대학원 임상한의학과 박사 수료), 의료용 인공지능 챗봇 개발</p>\n\t\t\t\t\t</a>\n\t\t\t\t</li>\n\t\t\t\n\t\t</ul>\n\t</section>\n\t<!-- main visual area -->\n\n\n<main role="main" class="mainContW" id="contents">\n\t<section class="mainSec01">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">Focus<a href="/kor/focus/list.do?page=1&pageSize=5" class="btnMore">더보기</a></h2>\n\t\t\t<ul class="mainList01 clearfix">\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="/kor/focus/detail.do?seq=2152922">\n\t\t\t\t\t\t\t<div class="listImgW">\n\t\t\t\t\t\t\t\t<img src="/kor/upload/board/board_mainImage_1631757522160.jpg" alt="">\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong>코로나 시대, 슬기로운 대학 생...</strong>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<p class="txtW">\n\n\t\n9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="/kor/focus/detail.do?seq=2152259">\n\t\t\t\t\t\t\t<div class="listImgW">\n\t\t\t\t\t\t\t\t<img src="/kor/upload/board/board_mainImage_1630906938516.jpg" alt="">\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong>금 나노 입자 활용한 표면 버블...</strong>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<p class="txtW">\n\n전자공학과 이응규 교수가 금 나노 입자를 활용해 표면 버블을 만드는 원리를 규명했다. 이번 연구는 나노 분야 세계적인 ...</p>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="/kor/focus/detail.do?seq=2152249">\n\t\t\t\t\t\t\t<div class="listImgW">\n\t\t\t\t\t\t\t\t<img src="/kor/upload/board/board_mainImage_1630896475547.jpg" alt="">\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong>HK+연구단, 옥스퍼드대 마크 ...</strong>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<p class="txtW">\n\nHK+통합의료인문학연구단이 영국 옥스퍼드대학교 마크 해리슨 교수와 국제 공동연구 프로젝트를 진행한다. 이번 연구는 해리...</p>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\n\t\t\t</ul>\n\t\t</div>\n\t</section>\n\n\t<section class="mainSec02">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">Announcements</h2>\n\t\t\t<div class="tabType05">\n\t\t\t\t<ul class="tab clearfix">\n\t\t\t\t\t<li class="on">\n\t\t\t\t\t\t<a href="#">일반</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">장학</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li >\n\t\t\t\t\t\t<a href="#">학사</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">행사</a>\n\t\t\t\t\t</li>\n\t\t\t\t</ul>\n\t\t\t\t<div class="tabCon first">\n\t\t\t\t\t<ul class="mainList02 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">교원 상시채용 Pool 등록</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.06.30</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=GENERAL&seq=2150417" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">경희 글쓰기클리닉 프로그램 신청 안내(10....</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.23</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t경희 글쓰기 클리닉 프로그램 신청 안내 ‘코로나 19’의 전세계적인 확산으로 사회적...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=GENERAL&seq=2153020" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[추천채용] ㈜피씨디렉트 신입사원 채용</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.23</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t ㈜피씨디렉트 신입사원을 모집할 예정이며, 본교로 추천의뢰가 들어왔습니다. 이에 관심 있는...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=GENERAL&seq=2153014" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[국제교류팀] 경희대학교 학생을 위한 공식 ...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.23</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\tETS에서 경희대학교 학생을 위한 공식 GRE 설명회를 개최합니다.해외 대학원 및 경영대학...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=GENERAL&seq=2153013" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList02 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[서울]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[서울][대외][~10.29] 2021학년도...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.17</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t&lt; 2021년도 (재)원장재단 장학생 선발 공고 &gt;(재)원장재단은 서울시 소재 ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152954" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[한방재료가공 학교기업] 2021-2학기 국...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.15</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t한방재료가공 학교기업에서 2021학년도 2학기 국가근로학생을 모집합니다. 1. 모집인원 :...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152881" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[공통][대외][~9.30] 2021년 고속...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.14</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t&lt; 2021년도 (재)고속도로장학재단 고속도로 장학생 선발 안내 &gt;1. 신청자격...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152795" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">[국제][대외][~9.28]2021년 하나금...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.13</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t2021년 국내 하나장학생 선발안내 Ⅰ. 하나장학금 개요 ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152727" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList02 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">2021학년도 2학기 본전공(1전공) 선택 ...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.23</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2153019" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">2021학년도 2학기 다전공/트랙이수 신청 ...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.23</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2153017" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">2021학년도 2학기 최종 등록 기간 안내</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.10</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t2021학년도 2학기 최종 등록 기간 안내 (재학생 및 복학생)1. 등록금 납부 기간 : ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2152557" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[국제]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">2021학년도 2학기 필수교과(기초교과) 이...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.09</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t2021학년도 2학기 필수교과(기초교과) 이수면제 신청 안내 1. 이수면제 대상과목...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2152416" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList02 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">Peace BAR Festival 2021(...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.16</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t \n\n\n\n\t\n\t\t\nVisit the website ☞ pbf.khu.ac.kr ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=EVENT&seq=2152921" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">제40회 UN 세계평화의 날 기념 국제회의(...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.15</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t \n\n\n\n\t\n\t\t\n웹사이트 방문 ☞ pbf.khu.ac.kr \n ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=EVENT&seq=2152882" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">코로나 시대, 슬기로운 대학생활을 위한 총장...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.08.31</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\n\n \n\n\n\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=EVENT&seq=2152088" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t<div class="hoverW">\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<strong class="titW">[공통]</strong>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<strong class="titW">2021 대학박물관진흥지원사업-경희대 중앙박...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.08.30</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t아래 링크로 연결됩니다.http://museum.khu.ac.kr/contents/bbs/...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t\t<a href="/kor/notice/detail.do?category=EVENT&seq=2152058" class="btn09 fontMer">More</a>\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t</div>\n\t\t</div>\n\t</section>\n\n\t<section class="mainSec09">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">Link</h2>\n\t\t\t<ul class="mainList09">\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://ipsi5.uwayapply.com/foreign/khu/?CHA=1" target="_blank">\n\t\t\t\t\t\t\t2022-1(1차) 외국인 신편입학 원서접수 \n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://sugang.khu.ac.kr" target="_blank">\n\t\t\t\t\t\t\t2021-2학기 학부 수강신청\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="https://www.khu.ac.kr/upload/notice/2021_NCSI_Notice.pdf" target="_blank">\n\t\t\t\t\t\t\t2021 경희대학교 개선 과제\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://www.khu.ac.kr/upload/notice/HumanitasCollege_2021_01.pdf" target="_self">\n\t\t\t\t\t\t\t후마니타스칼리지 가이드북\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://igkh.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t대학원혁신지원사업단\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="noAfter">\n\t\t\t\t\t\t<a href="http://goodjob.khu.ac.kr" target="_self">\n\t\t\t\t\t\t\t취업진로정보\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://janghak.khu.ac.kr/" target="_self">\n\t\t\t\t\t\t\t교내장학 신청\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://www.kosaf.go.kr/" target="_self">\n\t\t\t\t\t\t\t학자금대출/국가장학금 신청\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="https://eip.khu.ac.kr" target="_blank">\n\t\t\t\t\t\t\t대학혁신지원사업\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://ombuds.khu.ac.kr/" target="_self">\n\t\t\t\t\t\t\t경희옴부즈/통합민원\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="http://research.khu.ac.kr/board/bbs/board.php?bo_table=06_02" target="_self">\n\t\t\t\t\t\t\t국가 R&D사업 공고\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="noAfter">\n\t\t\t\t\t\t<a href="http://lincplus.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\tLINC+사업단\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t\t<li class="">\n\t\t\t\t\t\t<a href="https://give.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t발전기금(GIVE경희)\n\t\t\t\t\t\t</a>\n\t\t\t\t\t</li>\n\t\t\t\t\n\t\t\t</ul>\n\t\t</div>\n\n\t</section>\n\n\t<section class="mainSec03">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">News</h2>\n\t\t\t<ul class="mainList03 clearfix">\n\t\t\t\t<li>\n\t\t\t\t\t<div class="label">언론</div>\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<div class="boxSt01">\n\t\t\t\t\t\t\t<a href="/kor/news/detail.do?seq=2152961&category=PRESS&page=1">\n\t\t\t\t\t\t\t\t<strong class="titW">[9/17] 코로나시대 지식생태학…“지성보다 야성적 사고 필요해...</strong>\n\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t<span class="date">2021.09.17</span>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\n\n\n \n \n\t\t\n\t\t\t\n\t\t\n\t\n\t\n...\n\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="color02">\n\t\t\t\t\t<div class="label">경희광고</div>\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<div class="imgBoxSt01">\n\t\t\t\t\t\t\t<img src="/kor/upload/board/board_mainImage_1631845808243.jpg" alt="">\n\t\t\t\t\t\t\t<div class="imgDim">\n\t\t\t\t\t\t\t\t<div class="icoWrap">\n\t\t\t\t\t\t\t\t\t<a href="/kor/news/list.do?category=ADVERTISING&page=1" target="_blank"">\n\t\t\t\t\t\t\t\t\t\t<img src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png" alt="자세히보기"></a><!--20181217 alt 값 추가-->\n\t\t\t\t\t\t\t\t\t<a href="/kor/download.do?seq=2152959" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<img src="/kor/resources/user/img/pc/contents/ico/icoMainDown.png" alt="다운로드"></a><!--20181217 alt 값 추가-->\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t<div class="boxSt02">\n\t\t\t\t\t\t\t<strong class="titW01">전환문명의 전위, 어디를 향...</strong>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="color03">\n\t\t\t\t\t<div class="label">e-News</div>\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t<div class="boxSt01">\n\t\t\t\t\t\t\t\t<a href="/kor/news/detail.do?seq=2152942&category=ENEWS&page=1">\n\t\t\t\t\t\t\t\t\t<strong class="titW">[Kyung Hee e-News No.218] 인생의 한 페이지...</strong>\n\t\t\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\t\t<span class="date">2021.09.16</span>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n ...\n\t\t\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="color04">\n\t\t\t\t\t<div class="label">신간안내</div>\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<div class="imgBoxSt01">\n\t\t\t\t\t\t\t<img src="/kor/upload/board/board_mainImage_1629356148076.jpg" alt="">\n\t\t\t\t\t\t\t<div class="imgDim">\n\t\t\t\t\t\t\t\t<div class="icoWrap">\n\t\t\t\t\t\t\t\t\t<a href="/kor/news/detail.do?seq=2151714&category=NEWS&page=1">\n\t\t\t\t\t\t\t\t\t\t<img src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png" alt="자세히보기"></a><!--20181217 alt 값 추가-->\n\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t<div class="boxSt02">\n\t\t\t\t\t\t\t<strong class="titW02">외국인을 위한 성찰과 표현</strong>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t</ul>\n\t\t</div>\n\t</section>\n\n\t<section class="mainSec04">\n\t\t<div class="container">\n\t\t\t<form action="">\n\t\t\t\t<label for="email">구독을 신청해 주시면 경희 소식을 전해 드립니다.</label><!--20181214 for 값 입력-->\n\t\t\t\t<div class="inputBox">\n\t\t\t\t\t<input type="email" id="email" placeholder="address@mail.com">\n\t\t\t\t\t<button type="submit" onclick="subscribe();return false;">Application</button>\n\t\t\t\t</div>\n\t\t\t</form>\n\t\t</div>\n\t</section>\n\n\t<section class="mainSec05">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">Multimedia</h2>\n\t\t\t<ul class="mainList05">\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t<li class="bigW">\n\t\t\t\t\t\t\t<div class="bgWrap">\n\t\t\t\t\t\t\t\t<a href="/kor/video/list.do?category=VIDEO_GALLERY_02&sortColumn=orderNo&sortOrder=ASC&seq=2146997">\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_mainImage_1613975799202.jpg" alt="">\n\t\t\t\t\t\t\t\t\t<div class="decoPlay">\n\t\t\t\t\t\t\t\t\t\t<img src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png" alt="">\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\t<div class="caption">\n\t\t\t\t\t\t\t\t\t\t<span>영상</span> <img src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png" alt="">\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong class="guideTit01">Review 2020</strong>\n\t\t\t\t\t\t\t<p class="guide02">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\u3000\n\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t</li>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t<li class="smallW small01">\n\t\t\t\t\t\t\t<div class="bgWrap">\n\t\t\t\t\t\t\t\t<a href="/kor/cardNews/list.do?seq=2152900">\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_mainImage_1631751726302.jpg" alt="">\n\t\t\t\t\t\t\t\t\t<div class="caption">\n\t\t\t\t\t\t\t\t\t\t<span>카드뉴스</span> <img src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png" alt="">\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong class="guideTit01">‘전환문명의 전위, 어디를 ...</strong>\n\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t경희가 오는 9월 17일부터 12월까지 ‘제40회 UN 세계평화의 날 기념 Peace BA...\n\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t</li>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t<li class="smallW small02">\n\t\t\t\t\t\t\t<div class="bgWrap">\n\t\t\t\t\t\t\t\t<a href="/kor/photo/list.do?seq=2152314">\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_mainImage_1630994757203.jpg" alt="">\n\t\t\t\t\t\t\t\t\t<div class="caption">\n\t\t\t\t\t\t\t\t\t\t<span>포토갤러리</span> <img src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png" alt="">\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t<strong class="guideTit01">여름 풍경</strong>\n\t\t\t\t\t\t\t<p class="txtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\u3000\n\t\t\t\t\t\t\t</p>\n\t\t\t\t\t\t</li>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t</ul>\n\t\t</div>\n\t</section>\n\t<section class="mainSec06">\n\t\t<div class="container">\n\t\t\t<ul class="snsIcoW clearfix">\n\t\t <li class="sns06 on">\n\t\t <a href="#">인스타그램</a><!--20210311 text 추가-->\n\t\t </li>\n\t\t <li class="sns04">\n\t\t <a href="#">유튜브</a><!--20181217 text 추가-->\n\t\t </li>\n\t\t <li class="sns01">\n\t\t <a href="#">페이스북</a><!--20181217 text 추가-->\n\t\t </li>\n\t\t <li class="sns03">\n\t\t <a href="#">블로그</a><!--20181217 text 추가-->\n\t\t </li>\n\t\t <li class="sns05">\n\t\t <a href="#">링크드인</a><!--20181217 text 추가-->\n\t\t </li>\n\t\t <li class="sns02">\n\t\t <a href="#">트위터</a><!--20181217 text 추가-->\n\t\t </li>\n\t\t\t</ul>\n\t\t\t<ul class="snsSlide">\n\t\t\t\t\n\t\t\t\t<li class="snsW06">\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://www.instagram.com/p/CTy7MlNBKFB/?utm_source=ig_web_copy_link" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo06.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855520789.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>\n\t\t\t\t\t\t\t\t\t\t<p>#코로나19 #이전 #경희생활</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t\n\t\t\t\t<li class="snsW04">\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://youtu.be/yXy-UnaArXc" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo04.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855658002.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>\n\t\t\t\t\t\t\t\t\t\t<p>#총장과의 #대화</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="snsW01">\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://www.facebook.com/kyungheeuniv/posts/4770470646307788" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo01.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855541594.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[경희 FOCUS] 욘사마, 싸이, BTS 다음은?</strong>\n\t\t\t\t\t\t\t\t\t\t<p>#문과대학 #K컬처스토리콘텐츠연구소 #국어국문학과 #한류</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="snsW03">\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://blog.naver.com/khublog/222508923238" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo03.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855642107.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>\n\t\t\t\t\t\t\t\t\t\t<p>#퍼가라옹 #해피추석</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="snsW05" style="float: left; list-style: none; position: relative; width: 1160px;">\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://www.linkedin.com/feed/update/urn:li:activity:6844073067304497152" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo05.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855672626.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>\n\t\t\t\t\t\t\t\t\t\t<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t\t<li class="snsW02">\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t<a href="https://twitter.com/khuniv/status/1438371597635620864?s=20" target="_blank">\n\t\t\t\t\t\t\t<img src="/kor/resources/user/img/mobile/contents/ico/snsLogo02.jpg" class="logo" alt="">\n\t\t\t\t\t\t\t<div class="snsTxtW">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<img src="/kor/upload/catalog/catalog_file_1631855558047.jpg" alt="" style="width:125px;height:85px;" />\n\t\t\t\t\t\t\t\t\t<div class="txtW">\n\t\t\t\t\t\t\t\t\t\t<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>\n\t\t\t\t\t\t\t\t\t\t<p>#UN #세계평화의날 #국제회의 #PBF</p>\n\t\t\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t</div>\n\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t</li>\n\t\t\t</ul>\n\t\t</div>\n\t</section>\n\n\t<section class="mainSec07">\n\t\t<div class="container">\n\t\t\t<h2 class="mainTit01 fontMer">Quick Menu</h2>\n\t\t\t<div class="tabType06">\n\t\t\t\t<ul class="tab clearfix">\n\t\t\t\t\t<li class="on">\n\t\t\t\t\t\t<a href="#">학생(서울)</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">학생(국제)</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">교직원</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">예비경희인</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">일반인</a>\n\t\t\t\t\t</li>\n\t\t\t\t\t<li>\n\t\t\t\t\t\t<a href="#">동문</a>\n\t\t\t\t\t</li>\n\t\t\t\t</ul>\n\t\t\t\t<div class="tabCon first">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531365031560.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>학생회</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="https://e-campus.khu.ac.kr" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1536820999734.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>e-campus</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://kyunghee.certpia.com/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531368893838.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>인터넷 증명발급센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531368988001.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>장학/융자</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://healthsc.khu.ac.kr/html_2014/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369031825.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>건강센터(서울)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://library.khu.ac.kr/seoul" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369085502.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>중앙도서관(서울)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://goodjob.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369120543.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>미래인재센터(서울)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://counsell.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369148025.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>심리상담연구소(서울)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872062509.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>학생회</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="https://e-campus.khu.ac.kr" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1536821068214.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>e-campus</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://kyunghee.certpia.com/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872114125.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>인터넷 증명발급센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872146586.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>장학/융자</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://health.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872173593.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>건강센터(국제)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://library.khu.ac.kr/global" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872209533.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>중앙도서관(국제)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://goodjob.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872245144.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>미래인재센터(국제)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://counsel.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531872274832.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>학생생활상담(국제)</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://clean.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369229822.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>부정청탁신고센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369248917.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>교내전화번호</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="https://khctl.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369270415.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>교수학습지원센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://khu.certpia.com" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369310465.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>교직원 증명발급센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://rule.khu.ac.kr/lmxsrv/main/main.do" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531369355982.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>규정관리시스템</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://union.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531370965900.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>노동조합</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://info21.khu.ac.kr/placeRsv/fcspReservation2.html" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531370990530.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>장소예약시스템</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://k-recruit.khu.ac.kr/hjis2/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371013813.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>채용시스템</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://give.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1586222550986.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>GIVE경희</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371209428.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>경희뉴스</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371231281.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>교내전화번호</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://media.khu.ac.kr/khunews/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371253334.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>대학주보</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://iphak.khu.ac.kr/intro.do" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371277917.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>입학처</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://museum.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371300338.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>중앙박물관</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://khupress.com/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371320459.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>출판문화원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371348101.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>캠퍼스안내</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://give.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1586222622456.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>GIVE경희</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://museum.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371416234.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>중앙박물관</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://nhm.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371441890.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>자연사박물관</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371497131.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>평생교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://cce.khu.ac.kr/html/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371526836.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>글로벌미래교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://www.iie.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371550067.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>국제교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371574258.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>교내전화번호</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371600431.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>캠퍼스안내</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t\t<div class="tabCon">\n\t\t\t\t\t<ul class="mainList07 clearfix">\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://give.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1586222636928.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>GIVE경희</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://oiak.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371666149.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>국제교류처</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://www.khua.or.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371688920.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>총동문회</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://kyunghee.certpia.com/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371713863.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>인터넷 증명발급센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371737293.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>평생교육원/언어교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://cce.khu.ac.kr/html/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371761092.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>글로벌미래교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://www.iie.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371785633.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>국제교육원</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t<a href="http://clean.khu.ac.kr/" target="_blank">\n\t\t\t\t\t\t\t\t\t\t<div class="icoW"><img src="/kor/upload/link/link_normalImage_1531371807725.png" alt=""></div>\n\t\t\t\t\t\t\t\t\t\t<span>부정청탁신고센터</span>\n\t\t\t\t\t\t\t\t\t</a>\n\t\t\t\t\t\t\t\t</li>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t\t\t\t</div>\n\t\t\t</div>\n\t\t</div>\n\t</section>\n\t<section class="mainSec08">\n\t\t<div class="container">\n\t\t\t<p class="titW">\n\t\t\t\t<strong>새로운 미래를 여는 경희대학교</strong>\n\t\t\t\t지금 온라인에서 경험해 보세요.\n\t\t\t</p>\n\t\t\t<a href="http://iphak.khu.ac.kr/PageLink.do?menuNo=10720301&link=/PageLink.do?link=psnt/CampusTourInfo " class="btn10" target="_blank" title="새 창 열기">투어신청하기</a>\n\t\t\t<a href="http://www.khu.ac.kr/kor/video/list.do?category=VIDEO_GALLERY_02&subCategory=VG_02_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC " class="videoLink fontMer" target="_blank">\n\t\t\t\t<img src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png" alt="">\n\t\t\t\t<span>Experience Kyung Hee</span>\n\t\t\t</a>\n\t\t</div>\n\t</section>\n</main>\n\n<!-- 2019.07.22 팝업 추가 -->\n\n<!-- //2019.07.22 팝업 추가 -->\n\n<script>\nfunction loginCheck(){\n\tform = document.gLogin;\n\tif(form.user_id.value==\'\'){\n\t\talert("아이디를 입력하세요");\n\t\tform.user_id.focus();\n\t}else if(form.user_pass.value==\'\'){\n\t\talert("비밀번호를 입력하세요");\n\t\tform.user_pass.focus();\n\t}else{\n\t\tform.submit();\n\t}\n}\n\nfunction loginCheckA(){\n\tform = document.authLogin;\n\tif(form.LoginID.value ==""){\n\t\talert("아이디나 학번을 입력하세요");\n\t\tform.LoginID.focus();\n\t}else{\n\t\tform.submit();\n\t}\n}\n</script>\n\n<script>\n\tvar subscribe = function(){\n\t\tvar email = document.getElementById("email").value;\n\t\tif (!validateEmail(email)) {\n\t\t\talert("이메일 주소를 입력해 주세요.");\n\t\t\tdocument.getElementById("email").focus();\n\t\t\treturn false;\n\t\t}\n\n\t\tredirect = "/kor/info/content/subscribe.do"+"#"+email;\n\t\ttop.location = redirect;\n\t};\n\n\n\tvar validateEmail = function(email) {\n\t\tvar re = /^(([^<>()[\\]\\\\.,;:\\s@\\"]+(\\.[^<>()[\\]\\\\.,;:\\s@\\"]+)*)|(\\".+\\"))@((\\[[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}\\])|(([a-zA-Z\\-0-9]+\\.)+[a-zA-Z]{2,}))$/;\n\n\t\treturn re.test(email);\n\t}\n\t\n\t//close popup\n\tfunction close_popup(btn){\n\t\tbtn.parentNode.parentNode.style.display = "none";\n\t}\n</script>\n\n\t\t\n\t\n\t</div>\n\t\n\t\n\t\n\n\n\n\n\n<footer class="foot">\n \t<div class="footMenuW">\n \t\t<div class="container clearfix">\n \t\t\t<ul class="termsList clearfix">\n\t \t\t\t<li>\n\t \t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">교내전화번호 </a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2149761" target="_blank"><b>개인정보처리방침</b></a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t \t\t\t\t<a href="https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=197" target="_blank">대학정보공시</a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t \t\t\t\t<a href="/kor/sub/board.do?MENU_SEQ=199" target="_blank">예결산공고</a>\n\t \t\t\t</li>\n\t \t\t\t<li>\n\t \t\t\t\t<a href="https://www.khu.ac.kr/kor/forum/list.do?type=BID&page=1" target="_blank">입찰공고</a>\n\t \t\t\t</li>\n\t \t\t</ul>\n\t \t\t<div class="footLinkW clearfix">\n\t \t\t\t<div class="footLinks">\n\t \t\t\t\t<a href="javascript:void(0);" class="btnLinks">교내주요사이트</a>\n\t\t\t\t\t<ul class="linkList">\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="https://e-campus.khu.ac.kr" target="_blank">e-campus</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://ombuds.khu.ac.kr/" target="_blank">경희옴부즈</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://khgsc.khu.ac.kr/" target="_blank">경희지구사회봉사단</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://abeek.khu.ac.kr/" target="_blank">공학교육혁신센터</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://web.khu.ac.kr/~faculty/" target="_blank">교무과</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://khctl.khu.ac.kr/" target="_blank">교수학습지원센터</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://oiak.khu.ac.kr/" target="_blank">국제교류처</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://global.khu.ac.kr/" target="_blank">국제교육원(국제)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.iie.ac.kr/" target="_blank">국제교육원(서울)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://iga.khu.ac.kr/" target="_blank">국제지역연구원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://isom.khu.ac.kr/" target="_blank">국제한의학교육원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href=" https://cce.khu.ac.kr" target="_blank">글로벌미래교육원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://give.khu.ac.kr/" target="_blank">대외협력처</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://gafc.khu.ac.kr/" target="_blank">미래문명원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://vision2020.khu.ac.kr/" target="_blank">미래전략</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="https://goodjob.khu.ac.kr/" target="_blank">미래혁신원 미래인재센터</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://clean.khu.ac.kr/" target="_blank">부정청탁신고센터 </a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://studio.khu.ac.kr/" target="_self">비대면 수업 촬영 예약관리 시스템</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://eduup.khu.ac.kr/" target="_blank">수도권대학 특성화사업</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://wjwdorm.khu.ac.kr " target="_blank">생활관(국제-우정원)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="https://dorm2.khu.ac.kr/" target="_blank">생활관(국제-제2기숙사)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://web.khu.ac.kr/~sam-dom/" target="_blank">생활관(서울-삼의원)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://sewhahall.khu.ac.kr/" target="_blank">생활관(서울-세화원)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://happydorm.khu.ac.kr/" target="_blank">생활관(서울-행복기숙사)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://shelter.khu.ac.kr" target="_blank">성평등상담실(국제)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://web.khu.ac.kr/~happyou/" target="_blank">성평등상담실(서울)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://media.khu.ac.kr/" target="_blank">신문방송국</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="https://ile.khu.ac.kr" target="_blank">언어교육원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://safety.khu.ac.kr" target="_blank">연구실 안전관리 시스템</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://crf.khu.ac.kr/" target="_blank">연구실험지원센터</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://khao.khu.ac.kr/" target="_blank">우주과학교육관</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://crhs.khu.ac.kr/" target="_blank">인류사회재건연구원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://nhm.khu.ac.kr/" target="_blank">자연사박물관</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://ois.khu.ac.kr" target="_blank">정보처</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://clia.khu.ac.kr/" target="_blank">중앙기기센터</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://library.khu.ac.kr/" target="_blank">중앙도서관</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://museum.khu.ac.kr/" target="_blank">중앙박물관</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://khbi.khu.ac.kr/" target="_blank">창업보육센터(국제)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://kbic.khu.ac.kr/" target="_blank">창업보육센터(서울)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://khupress.com/" target="_blank">출판문화원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://ice.khu.ac.kr" target="_blank">평생교육원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://khugpp.khu.ac.kr/" target="_blank">평화의 전당</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://web.khu.ac.kr/~rotc/" target="_blank">학군단(국제)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://web.khu.ac.kr/~rotc108/" target="_blank">학군단(서울)</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="https://www.khumall.com" target="_blank">한방재료가공 학교기업</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://oldmaps.khu.ac.kr/" target="_blank">혜정박물관</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t \t\t\t</div>\n\t \t\t\t<div class="footLinks">\n\t \t\t\t\t<a href="javascript:void(0);" class="btnLinks">경희대학교 관련기관</a>\n\t\t\t\t\t<ul class="linkList">\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://neo.khmc.or.kr/" target="_blank">강동경희대학교병원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.kyungheeboy.hs.kr" target="_blank">경희고등학교</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.khcu.ac.kr/" target="_blank">경희사이버대학교</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://kyunghee.hs.kr/" target="_blank">경희여자고등학교</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://kyungheegls.ms.kr/" target="_blank">경희여자중학교</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.khu.kg.kr/" target="_blank">경희유치원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.khmc.or.kr/" target="_blank">경희의료원</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.kyunghee.ms.kr/" target="_blank">경희중학교</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.kyunghee.es.kr/" target="_blank">경희초등학교</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.khhp.co.kr/" target="_blank">경희한약</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://www.khua.or.kr/" target="_blank">총동문회</a></li>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<li><a href="http://khus.ac.kr/" target="_blank">학교법인 경희학원</a></li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t</ul>\n\t \t\t\t</div>\n\t \t\t</div>\n \t\t</div>\n \t</div>\n \t<div class="footer container">\n \t\t<strong class="footLogo">\n \t\t\t<img src="/kor/resources/user/img/pc/common/footLogo.png" class="pc" alt="경희대학교">\n \t\t\t<img src="/kor/resources/user/img/mobile/common/footLogo.png" class="mobile" alt="경희대학교">\n \t\t</strong>\n \t\t<div class="footAdd">\n \t\t\t<ul class="snsList clearfix">\n\t\t \t\t<li>\n\t\t \t\t\t<a href="https://www.instagram.com/kyunghee_university/" target="_blank"><img src="/kor/resources/user/img/mobile/common/ico/icoSns08.png" alt="instagram"></a>\n\t\t \t\t</li>\n\t\t \t\t<li>\n\t\t \t\t\t<a href="http://www.youtube.com/KyungHeeUniv" target="_blank"><img src="/kor/resources/user/img/mobile/common/ico/icoSns04.png" alt="youtube"></a>\n\t\t \t\t</li>\n\t\t \t\t<li>\n\t\t \t\t\t<a href="https://www.facebook.com/kyungheeuniv" target="_blank"><img src="/kor/resources/user/img/mobile/common/ico/icoSns01.png" alt="facebook"></a>\n\t\t \t\t</li>\n\t\t \t\t<li>\n\t\t \t\t\t<a href="http://blog.naver.com/khublog" target="_blank"><img src="/kor/resources/user/img/mobile/common/ico/icoSns03.png" alt="blog"></a>\n\t\t \t\t</li>\n\t\t\t\t<li>\n\t\t \t\t\t<a href="https://www.linkedin.com/school/%EA%B2%BD%ED%9D%AC%EB%8C%80%ED%95%99%EA%B5%90/" target="_blank"><img src="/kor/resources/user/img/mobile/common/ico/icoSns07.png" alt="linkedin"></a>\n\t\t \t\t</li>\t\t \t\t\n\t\t \t\t<li>\n\t\t \t\t\t<a href="http://www.twitter.com/khuniv" target="_blank"><img src="/kor/resources/user/img/mobile/common/ico/icoSns02.png" alt="twitter"></a>\n\t\t \t\t</li>\n\t\t \t\t<li>\n\t\t \t\t\t<a href="mailto:webmaster@khu.ac.kr"><img src="/kor/resources/user/img/mobile/common/ico/icoSns05.png" alt="mail"></a>\n\t\t \t\t</li>\n\t\t \t</ul>\n\t\t\t\t<address>\n\t\t\t\t\t<span>서울캠퍼스 02447 서울특별시 동대문구 경희대로 26</span>\n\t\t\t\t\t<span>국제캠퍼스 17104 경기도 용인시 기흥구 덕영대로 1732</span>\n\t\t\t\t\t<span>광릉캠퍼스 12001 경기도 남양주시 진접읍 광릉수목원로 195</span>\n\t\t\t\t</address>\n\t\t\t\t<p class="copy fontMer">COPYRIGHT <span>©</span> KYUNG HEE UNIVERSITY. ALL RIGHT RESERVED.</p>\n \t\t</div>\n \t</div>\n \t\n</footer>\n<!-- 로그분석 google -->\n<script type="text/javascript">\n\n var _gaq = _gaq || [];\n _gaq.push([\'_setAccount\', \'UA-34159355-1\']);\n _gaq.push([\'_trackPageview\']);\n\n (function() {\n var ga = document.createElement(\'script\'); ga.type = \'text/javascript\'; ga.async = true;\n ga.src = (\'https:\' == document.location.protocol ? \'https://ssl\' : \'http://www\') + \'.google-analytics.com/ga.js\';\n var s = document.getElementsByTagName(\'script\')[0]; s.parentNode.insertBefore(ga, s);\n })();\n\n</script>\n<!-- //로그분석 google -->\n <!-- FOOTER :: END -->\n<form id="news" action="/main.do" method="post">\n <input id="newsId" name="newsId" type="hidden" value="0"/>\n</form>\n<form id="notice" action="/main.do" method="post">\n <input id="noticeId" name="noticeId" type="hidden" value="0"/>\n <input id="category" name="category" type="hidden" value=""/>\n</form>\n<form id="lecture" action="/main.do" method="post">\n <input id="lectureType" name="lectureType" type="hidden" value=""/>\n <input id="lectureId" name="lectureId" type="hidden" value="0"/>\n</form>\n<form id="planning" action="/main.do" method="post">\n <input id="planningType" name="planningType" type="hidden" value=""/>\n <input id="planningId" name="planningId" type="hidden" value="0"/>\n</form>\n<form id="event" action="/main.do" method="post">\n <input id="eventType" name="eventType" type="hidden" value=""/>\n <input id="eventId" name="eventId" type="hidden" value="0"/>\n</form>\n</div>\n<script type="text/javascript">\n \n \n window.onclick_main_space21 = function(){\n window.open(\'http://s21khu.ac.kr/\');\n }\n</script>\n\n\n\t\n\t\n</div>\n\n<script>\n\t$(document).ready(function(){\n\t\tif(getCookie("hideToday") != "true"){\n\t\t\t$("body").attr("class", "noScroll");\n\t\t\t$(".gateWrap").show();\n\t\t}else{\n\t\t\t$(".gateWrap").hide();\n\t\t}\n\t\t\n\t\tif($(\'.gateWrap\').val() == undefined){\n\t\t\t$("body").removeClass("noScroll");\n\t\t}\n\t});\n</script>\n<script>\n\tvar getCookie = function(name){\n\t\tvar nameOfCookie = name + "=";\n\t\tvar x = 0;\n\t\twhile(x<= document.cookie.length){\n\t\t\tvar y = (x + nameOfCookie.length);\n\t\t\tif (document.cookie.substring(x, y) == nameOfCookie){\n\t\t\t\tif ((endOfCookie = document.cookie.indexOf(";", y)) == -1)\n\t\t\t\t\tendOfCookie = document.cookie.length;\n\t\t\t\treturn unescape(document.cookie.substring(y, endOfCookie));\n\t\t\t}\n\t\t\tx = document.cookie.indexOf( " ", x ) + 1;\n\t\t\tif ( x == 0 )\n\t\t\t\tbreak;\n\t\t}\n\t\treturn "";\n\t};\n\t\n\tvar setCookie = function(name, value, domain, expiredays){\t\n\t\tvar todayDate = new Date();\n\t\ttodayDate.setDate(todayDate.getDate() + expiredays);\n\t\tdocument.cookie = name + "=" + escape( value ) + "; path=/; domain=" + domain + "; expires=" + todayDate.toGMTString() +";"\n\t};\n\n\tvar closeGateway = function(){\n\t\t$("body").removeClass("noScroll")\n\t\t$(".gateWrap").remove();\n\t};\n\tvar hideToday = function(){\n\t\tsetCookie("hideToday", "true", "", 1);\n\t\tcloseGateway();\n\t\twindow.scrollTo(0, 0);\n\t};\n\t\n\n</script>\n</body>\n</html>'
f.readline() #한줄만 읽기
''
f = open("index.do","r",encoding="UTF-8")
f.readline()
'\n'
l = f.readline()
l
'\t<link rel="shortcut icon" href="/kor/resources/user/img/favicon.ico" type="image/x-icon">\n'
l.strip() #양쪽 필요없는 문자열 삭제해줌
'<title>경희대학교</title>'
help(f.readline)
Help on built-in function readline:
readline(size=-1, /) method of _io.TextIOWrapper instance
Read until newline or EOF.
Returns an empty string if EOF is hit immediately.
# readline을 한꺼번에 읽게해주기
f = open("index.do","r",encoding="utf-8")
l = f.readlines()
l
['\n',
'\n',
'\n',
'\n',
'\n',
'\n',
'\n',
'\n',
'\n',
'\n',
'\n',
'\n',
'\n',
'\n',
'\n',
'\n',
'<!DOCTYPE html>\n',
'<html lang="ko">\n',
'<head>\n',
'\t<meta charset="utf-8">\n',
'\t<title>경희대학교</title>\n',
'\t<meta http-equiv="X-UA-Compatible" content="IE=edge">\n',
'\t<meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0, maximum-scale=1.0, user-scalable=no">\n',
'\t<link rel="shortcut icon" href="/kor/resources/user/img/favicon.ico" type="image/x-icon">\n',
'\t<link rel="stylesheet" href="/kor/resources/user/css/jquery.bxslider.css">\n',
'\t<link rel="stylesheet" href="/kor/resources/user/css/base.css">\n',
'\t<link rel="stylesheet" href="/kor/resources/user/css/common.css">\n',
'\t<link rel="stylesheet" href="/kor/resources/user/css/contents.css">\n',
'\t<link rel="stylesheet" href="/kor/resources/user/css/jquery.mCustomScrollbar.css">\n',
'\t<script src="/kor/resources/user/js/jquery-1.11.2.min.js"></script>\n',
'\t<script src="/kor/resources/user/js/jquery.mCustomScrollbar.concat.min.js"></script>\n',
'\t<script src="/kor/resources/user/js/jquery.bxslider.min.js"></script>\n',
'\t<script src="/kor/resources/user/js/style.js"></script>\n',
'\t<!--[if lt IE 9]>\n',
'\t\t<script src="/kor/resources/user/js/respond.js"></script>\n',
'\t\t<script src="/kor/resources/user/js/html5shiv.min.js"></script>\n',
'\t<![endif]-->\n',
'\t<script src="https://ajax.googleapis.com/ajax/libs/webfont/1.6.16/webfont.js"></script>\n',
'\t<script>\n',
'\t\tWebFont.load({\n',
'\t\t custom: {\n',
"\t\t families: ['notokr'],\n",
"\t\t urls: ['/kor/resources/user/font/notokr-black.eot', '/kor/resources/user/font/notokr-bold.eot']\n",
'\t\t }\n',
'\t\t});\n',
'\t</script>\n',
'\t<script>\n',
"\t\tvar browser = 'Python-urllib/3.8';\n",
"\t\tvar uri \t= '/kor/main/index.do';\n",
"\t\tvar ip \t\t= '163.180.96.207';\n",
"\t\tvar lang \t= 'ko';\n",
"\t\tvar context\t= '/kor';\n",
'\t</script>\n',
'\t\n',
'\t<!-- event 수정 20200422 S -->\n',
'\t<script type="text/javascript">\n',
'\t\t$(document).ready(function() {\t\t\t\n',
'\t\t\t$(".eventAct").on("click", function() {\n',
'\t\t\t\tif ($(".eventTop").hasClass("minArea")) {\t\t\t\t\t\n',
'\t\t\t\t\t\t$(".eventTop").removeClass(\'minArea\');\n',
'\t\t\t\t\t}else{\n',
'\t \t\t\t\t$(".eventTop").addClass(\'minArea\');\n',
'\t \t\t};\n',
'\t\t\t});\t\t\t \n',
'\t\t});\n',
'\t</script>\n',
'<!-- event 수정 20200422 E -->\n',
'</head>\n',
'<body class="">\n',
'<nav class="skip">\n',
'\t<ul>\n',
'\t\t<li><a href="#contents">본문 바로가기</a></li>\n',
'\t</ul>\n',
'</nav>\n',
'\n',
'\n',
'\n',
'<div class="wrap">\n',
'\t\n',
'\t\n',
'\t\n',
'\n',
'\n',
'\n',
'\n',
'\n',
'\n',
'\n',
'<script>\n',
'function search(el){\n',
'\tif(event.keyCode==13){\n',
'\t\tdocument.sf.q.value=el.value;\n',
'\t\tdocument.sf.submit();\n',
'\t}\n',
'}\n',
'</script>\n',
'\n',
'<header class="head">\n',
'\t<div class="mobileTopW">\n',
'\t\t<div class="container clearfix">\n',
'\t\t\t<h1 class="logo">\n',
'\n',
'\t\n',
'\t\n',
'\t\t<a href="/kor/main/index.do"><img src="/kor/resources/user/img/pc/common/logo.png" class="pc" alt="경희대학교"><img src="/kor/resources/user/img/mobile/common/logo.jpg" class="mobile" alt="경희대학교"></a><!--20181217 태그 수정-->\n',
'\t\n',
'\n',
'\n',
'\t\t\t</h1>\n',
'\t\t\t<div class="search">\n',
'\t\t\t\t<!-- 20181217 추가 -->\n',
'\t\t\t\t<label for="searchInput01" class="hidden">Search Site and People</label>\n',
'\t\t\t\t<input type="search" id="searchInput01" class="inputSearch" placeholder="Search Site & People" \n',
'\t\t\t\tonkeydown="search(this);"><!-- 20181217 id 추가 -->\n',
'\t\t\t\t<button class="btnSearch">search</button><!-- 20181217 href 삭제 -->\n',
'\t\t\t</div>\n',
'\t\t\t<form action="/kor/info/search.do" name="sf">\n',
'\t\t\t\t<input type="hidden" value="011072588127852259059:7bgph6ztzyg" name="cx">\n',
'\t\t\t\t<input type="hidden" value="FORID:10" name="cof">\n',
'\t\t\t\t<input type="hidden" value="UTF-8" name="ie">\n',
'\t\t\t\t<input type="hidden" value="11372" name="m">\n',
'\t\t\t\t<input type="hidden" id="sch-keyword" value="" class="searchTxt" name="q">\n',
'\t\t\t</form>\n',
'\t\t\t<button class="btnMenuM">\n',
'\t\t\t\t<span></span>\n',
'\t\t\t\t<span></span>\n',
'\t\t\t\t<span></span>\n',
'\t\t\t</button>\n',
'\t\t</div>\n',
'\t</div>\n',
'\t<div class="mobileMenuW">\n',
'\t\t<nav class="gnbW">\n',
' \t\t\t<div class="container clearfix">\n',
' \t\t\t\t<ul class="gnb clearfix">\n',
'\t \t\t\t\t<li>\n',
'\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB01">대학</a>\n',
'\t \t\t\t\t\t<div class="depth2">\n',
'\t\t\t\t\t\t\t<ul>\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n',
'\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t</ul>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/prsd/index.do" target="_self">총장실</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n',
'\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t</ul>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n',
'\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t</ul>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n',
'\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t</ul>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n',
'\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t</ul>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t</ul>\n',
'\t \t\t\t\t\t</div>\n',
'\t \t\t\t\t</li>\n',
'\t \t\t\t\t<li>\n',
'\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB02">입학</a>\n',
'\t \t\t\t\t\t<div class="depth2">\n',
'\t\t\t\t\t\t\t<ul>\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n',
'\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t</ul>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n',
'\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t</ul>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t</ul>\n',
'\t \t\t\t\t\t</div>\n',
'\t \t\t\t\t</li>\n',
'\t \t\t\t\t<li>\n',
'\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB03">교육</a>\n',
'\t \t\t\t\t\t<div class="depth2">\n',
'\t\t\t\t\t\t\t<ul>\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/edu/list.do" target="_self">교원검색</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n',
'\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t</ul>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t</ul>\n',
'\t \t\t\t\t\t</div>\n',
'\t \t\t\t\t</li>\n',
'\t \t\t\t</ul>\n',
'\t \t\t\t<ul class="gnb gnbRight clearfix">\n',
'\t \t\t\t\t<li>\n',
'\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB04">연구/산학</a>\n',
'\t \t\t\t\t\t<div class="depth2">\n',
'\t\t\t\t\t\t\t<ul>\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n',
'\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t</ul>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n',
'\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t</ul>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n',
'\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t</ul>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n',
'\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t</ul>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t</ul>\n',
'\t \t\t\t\t\t</div>\n',
'\t \t\t\t\t</li>\n',
'\t \t\t\t\t<li>\n',
'\t \t\t\t\t\t<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB05">교류/실천</a>\n',
'\t \t\t\t\t\t<div class="depth2">\n',
'\t\t\t\t\t\t\t<ul>\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n',
'\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t</ul>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t<li>\n',
'\t\t\t\t\t\t\t\t\t\t<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t<button class="btnDepth2"></button>\n',
'\t\t\t\t\t\t\t\t\t\t\t<ul class="depth3">\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\t\t</ul>\n',
'\t\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t</li>\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\n',
'\t\t\t\t\t\t\t\t\t\n',
...]
l2 = [x.strip() for x in l] # 필요없는 문자열 한꺼번에 제거해주기
l2
['',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<!DOCTYPE html>',
'<html lang="ko">',
'<head>',
'<meta charset="utf-8">',
'<title>경희대학교</title>',
'<meta http-equiv="X-UA-Compatible" content="IE=edge">',
'<meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0, maximum-scale=1.0, user-scalable=no">',
'<link rel="shortcut icon" href="/kor/resources/user/img/favicon.ico" type="image/x-icon">',
'<link rel="stylesheet" href="/kor/resources/user/css/jquery.bxslider.css">',
'<link rel="stylesheet" href="/kor/resources/user/css/base.css">',
'<link rel="stylesheet" href="/kor/resources/user/css/common.css">',
'<link rel="stylesheet" href="/kor/resources/user/css/contents.css">',
'<link rel="stylesheet" href="/kor/resources/user/css/jquery.mCustomScrollbar.css">',
'<script src="/kor/resources/user/js/jquery-1.11.2.min.js"></script>',
'<script src="/kor/resources/user/js/jquery.mCustomScrollbar.concat.min.js"></script>',
'<script src="/kor/resources/user/js/jquery.bxslider.min.js"></script>',
'<script src="/kor/resources/user/js/style.js"></script>',
'<!--[if lt IE 9]>',
'<script src="/kor/resources/user/js/respond.js"></script>',
'<script src="/kor/resources/user/js/html5shiv.min.js"></script>',
'<![endif]-->',
'<script src="https://ajax.googleapis.com/ajax/libs/webfont/1.6.16/webfont.js"></script>',
'<script>',
'WebFont.load({',
'custom: {',
"families: ['notokr'],",
"urls: ['/kor/resources/user/font/notokr-black.eot', '/kor/resources/user/font/notokr-bold.eot']",
'}',
'});',
'</script>',
'<script>',
"var browser = 'Python-urllib/3.8';",
"var uri \t= '/kor/main/index.do';",
"var ip \t\t= '163.180.96.207';",
"var lang \t= 'ko';",
"var context\t= '/kor';",
'</script>',
'',
'<!-- event 수정 20200422 S -->',
'<script type="text/javascript">',
'$(document).ready(function() {',
'$(".eventAct").on("click", function() {',
'if ($(".eventTop").hasClass("minArea")) {',
'$(".eventTop").removeClass(\'minArea\');',
'}else{',
'$(".eventTop").addClass(\'minArea\');',
'};',
'});',
'});',
'</script>',
'<!-- event 수정 20200422 E -->',
'</head>',
'<body class="">',
'<nav class="skip">',
'<ul>',
'<li><a href="#contents">본문 바로가기</a></li>',
'</ul>',
'</nav>',
'',
'',
'',
'<div class="wrap">',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<script>',
'function search(el){',
'if(event.keyCode==13){',
'document.sf.q.value=el.value;',
'document.sf.submit();',
'}',
'}',
'</script>',
'',
'<header class="head">',
'<div class="mobileTopW">',
'<div class="container clearfix">',
'<h1 class="logo">',
'',
'',
'',
'<a href="/kor/main/index.do"><img src="/kor/resources/user/img/pc/common/logo.png" class="pc" alt="경희대학교"><img src="/kor/resources/user/img/mobile/common/logo.jpg" class="mobile" alt="경희대학교"></a><!--20181217 태그 수정-->',
'',
'',
'',
'</h1>',
'<div class="search">',
'<!-- 20181217 추가 -->',
'<label for="searchInput01" class="hidden">Search Site and People</label>',
'<input type="search" id="searchInput01" class="inputSearch" placeholder="Search Site & People"',
'onkeydown="search(this);"><!-- 20181217 id 추가 -->',
'<button class="btnSearch">search</button><!-- 20181217 href 삭제 -->',
'</div>',
'<form action="/kor/info/search.do" name="sf">',
'<input type="hidden" value="011072588127852259059:7bgph6ztzyg" name="cx">',
'<input type="hidden" value="FORID:10" name="cof">',
'<input type="hidden" value="UTF-8" name="ie">',
'<input type="hidden" value="11372" name="m">',
'<input type="hidden" id="sch-keyword" value="" class="searchTxt" name="q">',
'</form>',
'<button class="btnMenuM">',
'<span></span>',
'<span></span>',
'<span></span>',
'</button>',
'</div>',
'</div>',
'<div class="mobileMenuW">',
'<nav class="gnbW">',
'<div class="container clearfix">',
'<ul class="gnb clearfix">',
'<li>',
'<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB01">대학</a>',
'<div class="depth2">',
'<ul>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>',
'',
'',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/prsd/index.do" target="_self">총장실</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>',
'',
'',
'',
'<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>',
'',
'',
'',
'',
'',
'<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>',
'',
'',
'',
'<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>',
'',
'',
'',
'<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>',
'',
'',
'',
'',
'',
'<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>',
'',
'',
'',
'<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>',
'',
'',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>',
'',
'',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>',
'',
'',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'</ul>',
'</div>',
'</li>',
'<li>',
'<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB02">입학</a>',
'<div class="depth2">',
'<ul>',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>',
'',
'',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'</ul>',
'</div>',
'</li>',
'<li>',
'<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB03">교육</a>',
'<div class="depth2">',
'<ul>',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/edu/list.do" target="_self">교원검색</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'</ul>',
'</div>',
'</li>',
'</ul>',
'<ul class="gnb gnbRight clearfix">',
'<li>',
'<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB04">연구/산학</a>',
'<div class="depth2">',
'<ul>',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>',
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'',
'',
'',
'</ul>',
'',
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'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>',
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'<button class="btnDepth2"></button>',
'<ul class="depth3">',
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'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>',
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'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'</ul>',
'</div>',
'</li>',
'<li>',
'<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB05">교류/실천</a>',
'<div class="depth2">',
'<ul>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>',
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'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>',
'',
'',
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'',
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'',
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'',
'',
'',
'',
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l2 = []
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l2.append(x.strip())
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'',
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'',
'',
'',
'',
'',
'',
'',
'',
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'',
'<!DOCTYPE html>',
'<html lang="ko">',
'<head>',
'<meta charset="utf-8">',
'<title>경희대학교</title>',
'<meta http-equiv="X-UA-Compatible" content="IE=edge">',
'<meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0, maximum-scale=1.0, user-scalable=no">',
'<link rel="shortcut icon" href="/kor/resources/user/img/favicon.ico" type="image/x-icon">',
'<link rel="stylesheet" href="/kor/resources/user/css/jquery.bxslider.css">',
'<link rel="stylesheet" href="/kor/resources/user/css/base.css">',
'<link rel="stylesheet" href="/kor/resources/user/css/common.css">',
'<link rel="stylesheet" href="/kor/resources/user/css/contents.css">',
'<link rel="stylesheet" href="/kor/resources/user/css/jquery.mCustomScrollbar.css">',
'<script src="/kor/resources/user/js/jquery-1.11.2.min.js"></script>',
'<script src="/kor/resources/user/js/jquery.mCustomScrollbar.concat.min.js"></script>',
'<script src="/kor/resources/user/js/jquery.bxslider.min.js"></script>',
'<script src="/kor/resources/user/js/style.js"></script>',
'<!--[if lt IE 9]>',
'<script src="/kor/resources/user/js/respond.js"></script>',
'<script src="/kor/resources/user/js/html5shiv.min.js"></script>',
'<![endif]-->',
'<script src="https://ajax.googleapis.com/ajax/libs/webfont/1.6.16/webfont.js"></script>',
'<script>',
'WebFont.load({',
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"var context\t= '/kor';",
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'',
'<!-- event 수정 20200422 S -->',
'<script type="text/javascript">',
'$(document).ready(function() {',
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'});',
'});',
'</script>',
'<!-- event 수정 20200422 E -->',
'</head>',
'<body class="">',
'<nav class="skip">',
'<ul>',
'<li><a href="#contents">본문 바로가기</a></li>',
'</ul>',
'</nav>',
'',
'',
'',
'<div class="wrap">',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<script>',
'function search(el){',
'if(event.keyCode==13){',
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'}',
'</script>',
'',
'<header class="head">',
'<div class="mobileTopW">',
'<div class="container clearfix">',
'<h1 class="logo">',
'',
'',
'',
'<a href="/kor/main/index.do"><img src="/kor/resources/user/img/pc/common/logo.png" class="pc" alt="경희대학교"><img src="/kor/resources/user/img/mobile/common/logo.jpg" class="mobile" alt="경희대학교"></a><!--20181217 태그 수정-->',
'',
'',
'',
'</h1>',
'<div class="search">',
'<!-- 20181217 추가 -->',
'<label for="searchInput01" class="hidden">Search Site and People</label>',
'<input type="search" id="searchInput01" class="inputSearch" placeholder="Search Site & People"',
'onkeydown="search(this);"><!-- 20181217 id 추가 -->',
'<button class="btnSearch">search</button><!-- 20181217 href 삭제 -->',
'</div>',
'<form action="/kor/info/search.do" name="sf">',
'<input type="hidden" value="011072588127852259059:7bgph6ztzyg" name="cx">',
'<input type="hidden" value="FORID:10" name="cof">',
'<input type="hidden" value="UTF-8" name="ie">',
'<input type="hidden" value="11372" name="m">',
'<input type="hidden" id="sch-keyword" value="" class="searchTxt" name="q">',
'</form>',
'<button class="btnMenuM">',
'<span></span>',
'<span></span>',
'<span></span>',
'</button>',
'</div>',
'</div>',
'<div class="mobileMenuW">',
'<nav class="gnbW">',
'<div class="container clearfix">',
'<ul class="gnb clearfix">',
'<li>',
'<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB01">대학</a>',
'<div class="depth2">',
'<ul>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>',
'',
'',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/prsd/index.do" target="_self">총장실</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>',
'',
'',
'',
'<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>',
'',
'',
'',
'',
'',
'<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>',
'',
'',
'',
'<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>',
'',
'',
'',
'<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>',
'',
'',
'',
'',
'',
'<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>',
'',
'',
'',
'<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>',
'',
'',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
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'',
'',
'',
'',
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'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>',
'',
'',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>',
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'',
'</ul>',
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'</li>',
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'',
'',
'',
'',
'',
'',
'',
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'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
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'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>',
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'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>',
'',
'',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>',
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'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>',
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'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'</ul>',
'</div>',
'</li>',
'<li>',
'<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB02">입학</a>',
'<div class="depth2">',
'<ul>',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>',
'',
'',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'</ul>',
'</div>',
'</li>',
'<li>',
'<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB03">교육</a>',
'<div class="depth2">',
'<ul>',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/edu/list.do" target="_self">교원검색</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'</ul>',
'</div>',
'</li>',
'</ul>',
'<ul class="gnb gnbRight clearfix">',
'<li>',
'<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB04">연구/산학</a>',
'<div class="depth2">',
'<ul>',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>',
'',
'',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'</ul>',
'</div>',
'</li>',
'<li>',
'<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB05">교류/실천</a>',
'<div class="depth2">',
'<ul>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'',
'<li>',
'<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>',
'',
'<button class="btnDepth2"></button>',
'<ul class="depth3">',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>',
'',
'',
'',
'<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>',
'',
'',
'</ul>',
'',
'</li>',
'',
'',
'',
'',
'',
'',
'',
...]
# 다른방법
f = open("download.wget","r",encoding="UTF-8")
l3 = f.readlines()
l4 = [x.strip() for x in l3]
l4
["<script language='javascript'>",
"location.href = '/kor/main/index.do';",
'</script>']
for l1 in l4:
if l1.startswith('<'): #'<' 시작하면 프린트 해주라
print("this is html tag",l1)
this is html tag <script language='javascript'>
this is html tag </script>
for l1 in l4:
if l1.startswith('<'):
tagName = l1.strip('<').split()[0]
print("this is html tag", tagName)
this is html tag script
this is html tag /script>
for l1 in l4:
if l1.startswith('<'):
tagName = l1.strip('<').strip('>').split()[0]
print("this is html tag", tagName)
this is html tag script
this is html tag /script
nLongLine = 0
for l1 in l4:
if len(l1) > 10:
nLongLine +=1
print(nLongLine)
2
nTags = 0
for l1 in l4:
nTags += l1.count('<') #< 숫자 세기
print(nTags)
2
# index.do 에서 카운트 하기
nImgTags = 0
for l1 in l2:
nImgTags += l1.count('<img')
print(nImgTags)
88
nPngTags = 0
for l1 in l2:
nPngTags += l1.count('.png')
print(nPngTags)
115
nextPages = []
for l1 in l2:
if "href=" in l1:
print(l1)
<link rel="shortcut icon" href="/kor/resources/user/img/favicon.ico" type="image/x-icon">
<link rel="stylesheet" href="/kor/resources/user/css/jquery.bxslider.css">
<link rel="stylesheet" href="/kor/resources/user/css/base.css">
<link rel="stylesheet" href="/kor/resources/user/css/common.css">
<link rel="stylesheet" href="/kor/resources/user/css/contents.css">
<link rel="stylesheet" href="/kor/resources/user/css/jquery.mCustomScrollbar.css">
<li><a href="#contents">본문 바로가기</a></li>
<a href="/kor/main/index.do"><img src="/kor/resources/user/img/pc/common/logo.png" class="pc" alt="경희대학교"><img src="/kor/resources/user/img/mobile/common/logo.jpg" class="mobile" alt="경희대학교"></a><!--20181217 태그 수정-->
<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB01">대학</a>
<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>
<a href="/kor/prsd/index.do" target="_self">총장실</a>
<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>
<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>
<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>
<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>
<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>
<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>
<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>
<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>
<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>
<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>
<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>
<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB02">입학</a>
<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>
<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>
<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>
<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>
<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>
<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>
<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>
<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB03">교육</a>
<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>
<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>
<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>
<a href="/kor/edu/list.do" target="_self">교원검색</a>
<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>
<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>
<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>
<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB04">연구/산학</a>
<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>
<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>
<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>
<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>
<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>
<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>
<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>
<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>
<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>
<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB05">교류/실천</a>
<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>
<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>
<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>
<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>
<a href="/kor/sub/content.do?MENU_SEQ=449" target="_self">국제 교류</a>
<li><a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a></li>
<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>
<li><a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a></li>
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####
import bs4
help(bs4)
Help on package bs4:
NAME
bs4 - Beautiful Soup Elixir and Tonic - "The Screen-Scraper's Friend".
DESCRIPTION
http://www.crummy.com/software/BeautifulSoup/
Beautiful Soup uses a pluggable XML or HTML parser to parse a
(possibly invalid) document into a tree representation. Beautiful Soup
provides methods and Pythonic idioms that make it easy to navigate,
search, and modify the parse tree.
Beautiful Soup works with Python 2.7 and up. It works better if lxml
and/or html5lib is installed.
For more than you ever wanted to know about Beautiful Soup, see the
documentation: http://www.crummy.com/software/BeautifulSoup/bs4/doc/
PACKAGE CONTENTS
builder (package)
dammit
diagnose
element
formatter
testing
tests (package)
CLASSES
bs4.element.Tag(bs4.element.PageElement)
BeautifulSoup
class BeautifulSoup(bs4.element.Tag)
| BeautifulSoup(markup='', features=None, builder=None, parse_only=None, from_encoding=None, exclude_encodings=None, element_classes=None, **kwargs)
|
| A data structure representing a parsed HTML or XML document.
|
| Most of the methods you'll call on a BeautifulSoup object are inherited from
| PageElement or Tag.
|
| Internally, this class defines the basic interface called by the
| tree builders when converting an HTML/XML document into a data
| structure. The interface abstracts away the differences between
| parsers. To write a new tree builder, you'll need to understand
| these methods as a whole.
|
| These methods will be called by the BeautifulSoup constructor:
| * reset()
| * feed(markup)
|
| The tree builder may call these methods from its feed() implementation:
| * handle_starttag(name, attrs) # See note about return value
| * handle_endtag(name)
| * handle_data(data) # Appends to the current data node
| * endData(containerClass) # Ends the current data node
|
| No matter how complicated the underlying parser is, you should be
| able to build a tree using 'start tag' events, 'end tag' events,
| 'data' events, and "done with data" events.
|
| If you encounter an empty-element tag (aka a self-closing tag,
| like HTML's <br> tag), call handle_starttag and then
| handle_endtag.
|
| Method resolution order:
| BeautifulSoup
| bs4.element.Tag
| bs4.element.PageElement
| builtins.object
|
| Methods defined here:
|
| __copy__(self)
| Copy a BeautifulSoup object by converting the document to a string and parsing it again.
|
| __getstate__(self)
|
| __init__(self, markup='', features=None, builder=None, parse_only=None, from_encoding=None, exclude_encodings=None, element_classes=None, **kwargs)
| Constructor.
|
| :param markup: A string or a file-like object representing
| markup to be parsed.
|
| :param features: Desirable features of the parser to be
| used. This may be the name of a specific parser ("lxml",
| "lxml-xml", "html.parser", or "html5lib") or it may be the
| type of markup to be used ("html", "html5", "xml"). It's
| recommended that you name a specific parser, so that
| Beautiful Soup gives you the same results across platforms
| and virtual environments.
|
| :param builder: A TreeBuilder subclass to instantiate (or
| instance to use) instead of looking one up based on
| `features`. You only need to use this if you've implemented a
| custom TreeBuilder.
|
| :param parse_only: A SoupStrainer. Only parts of the document
| matching the SoupStrainer will be considered. This is useful
| when parsing part of a document that would otherwise be too
| large to fit into memory.
|
| :param from_encoding: A string indicating the encoding of the
| document to be parsed. Pass this in if Beautiful Soup is
| guessing wrongly about the document's encoding.
|
| :param exclude_encodings: A list of strings indicating
| encodings known to be wrong. Pass this in if you don't know
| the document's encoding but you know Beautiful Soup's guess is
| wrong.
|
| :param element_classes: A dictionary mapping BeautifulSoup
| classes like Tag and NavigableString, to other classes you'd
| like to be instantiated instead as the parse tree is
| built. This is useful for subclassing Tag or NavigableString
| to modify default behavior.
|
| :param kwargs: For backwards compatibility purposes, the
| constructor accepts certain keyword arguments used in
| Beautiful Soup 3. None of these arguments do anything in
| Beautiful Soup 4; they will result in a warning and then be
| ignored.
|
| Apart from this, any keyword arguments passed into the
| BeautifulSoup constructor are propagated to the TreeBuilder
| constructor. This makes it possible to configure a
| TreeBuilder by passing in arguments, not just by saying which
| one to use.
|
| decode(self, pretty_print=False, eventual_encoding='utf-8', formatter='minimal')
| Returns a string or Unicode representation of the parse tree
| as an HTML or XML document.
|
| :param pretty_print: If this is True, indentation will be used to
| make the document more readable.
| :param eventual_encoding: The encoding of the final document.
| If this is None, the document will be a Unicode string.
|
| endData(self, containerClass=None)
| Method called by the TreeBuilder when the end of a data segment
| occurs.
|
| handle_data(self, data)
| Called by the tree builder when a chunk of textual data is encountered.
|
| handle_endtag(self, name, nsprefix=None)
| Called by the tree builder when an ending tag is encountered.
|
| :param name: Name of the tag.
| :param nsprefix: Namespace prefix for the tag.
|
| handle_starttag(self, name, namespace, nsprefix, attrs, sourceline=None, sourcepos=None)
| Called by the tree builder when a new tag is encountered.
|
| :param name: Name of the tag.
| :param nsprefix: Namespace prefix for the tag.
| :param attrs: A dictionary of attribute values.
| :param sourceline: The line number where this tag was found in its
| source document.
| :param sourcepos: The character position within `sourceline` where this
| tag was found.
|
| If this method returns None, the tag was rejected by an active
| SoupStrainer. You should proceed as if the tag had not occurred
| in the document. For instance, if this was a self-closing tag,
| don't call handle_endtag.
|
| insert_after(self, *args)
| This method is part of the PageElement API, but `BeautifulSoup` doesn't implement
| it because there is nothing before or after it in the parse tree.
|
| insert_before(self, *args)
| This method is part of the PageElement API, but `BeautifulSoup` doesn't implement
| it because there is nothing before or after it in the parse tree.
|
| new_string(self, s, subclass=None)
| Create a new NavigableString associated with this BeautifulSoup
| object.
|
| new_tag(self, name, namespace=None, nsprefix=None, attrs={}, sourceline=None, sourcepos=None, **kwattrs)
| Create a new Tag associated with this BeautifulSoup object.
|
| :param name: The name of the new Tag.
| :param namespace: The URI of the new Tag's XML namespace, if any.
| :param prefix: The prefix for the new Tag's XML namespace, if any.
| :param attrs: A dictionary of this Tag's attribute values; can
| be used instead of `kwattrs` for attributes like 'class'
| that are reserved words in Python.
| :param sourceline: The line number where this tag was
| (purportedly) found in its source document.
| :param sourcepos: The character position within `sourceline` where this
| tag was (purportedly) found.
| :param kwattrs: Keyword arguments for the new Tag's attribute values.
|
| object_was_parsed(self, o, parent=None, most_recent_element=None)
| Method called by the TreeBuilder to integrate an object into the parse tree.
|
| popTag(self)
| Internal method called by _popToTag when a tag is closed.
|
| pushTag(self, tag)
| Internal method called by handle_starttag when a tag is opened.
|
| reset(self)
| Reset this object to a state as though it had never parsed any
| markup.
|
| string_container(self, base_class=None)
|
| ----------------------------------------------------------------------
| Data and other attributes defined here:
|
| ASCII_SPACES = ' \n\t\x0c\r'
|
| DEFAULT_BUILDER_FEATURES = ['html', 'fast']
|
| NO_PARSER_SPECIFIED_WARNING = 'No parser was explicitly specified, so ...
|
| ROOT_TAG_NAME = '[document]'
|
| ----------------------------------------------------------------------
| Methods inherited from bs4.element.Tag:
|
| __bool__(self)
| A tag is non-None even if it has no contents.
|
| __call__(self, *args, **kwargs)
| Calling a Tag like a function is the same as calling its
| find_all() method. Eg. tag('a') returns a list of all the A tags
| found within this tag.
|
| __contains__(self, x)
|
| __delitem__(self, key)
| Deleting tag[key] deletes all 'key' attributes for the tag.
|
| __eq__(self, other)
| Returns true iff this Tag has the same name, the same attributes,
| and the same contents (recursively) as `other`.
|
| __getattr__(self, tag)
| Calling tag.subtag is the same as calling tag.find(name="subtag")
|
| __getitem__(self, key)
| tag[key] returns the value of the 'key' attribute for the Tag,
| and throws an exception if it's not there.
|
| __hash__(self)
| Return hash(self).
|
| __iter__(self)
| Iterating over a Tag iterates over its contents.
|
| __len__(self)
| The length of a Tag is the length of its list of contents.
|
| __ne__(self, other)
| Returns true iff this Tag is not identical to `other`,
| as defined in __eq__.
|
| __repr__ = __unicode__(self)
|
| __setitem__(self, key, value)
| Setting tag[key] sets the value of the 'key' attribute for the
| tag.
|
| __str__ = __unicode__(self)
|
| __unicode__(self)
| Renders this PageElement as a Unicode string.
|
| childGenerator(self)
| Deprecated generator.
|
| clear(self, decompose=False)
| Wipe out all children of this PageElement by calling extract()
| on them.
|
| :param decompose: If this is True, decompose() (a more
| destructive method) will be called instead of extract().
|
| decode_contents(self, indent_level=None, eventual_encoding='utf-8', formatter='minimal')
| Renders the contents of this tag as a Unicode string.
|
| :param indent_level: Each line of the rendering will be
| indented this many spaces. Used internally in
| recursive calls while pretty-printing.
|
| :param eventual_encoding: The tag is destined to be
| encoded into this encoding. decode_contents() is _not_
| responsible for performing that encoding. This information
| is passed in so that it can be substituted in if the
| document contains a <META> tag that mentions the document's
| encoding.
|
| :param formatter: A Formatter object, or a string naming one of
| the standard Formatters.
|
| decompose(self)
| Recursively destroys this PageElement and its children.
|
| This element will be removed from the tree and wiped out; so
| will everything beneath it.
|
| The behavior of a decomposed PageElement is undefined and you
| should never use one for anything, but if you need to _check_
| whether an element has been decomposed, you can use the
| `decomposed` property.
|
| encode(self, encoding='utf-8', indent_level=None, formatter='minimal', errors='xmlcharrefreplace')
| Render a bytestring representation of this PageElement and its
| contents.
|
| :param encoding: The destination encoding.
| :param indent_level: Each line of the rendering will be
| indented this many spaces. Used internally in
| recursive calls while pretty-printing.
| :param formatter: A Formatter object, or a string naming one of
| the standard formatters.
| :param errors: An error handling strategy such as
| 'xmlcharrefreplace'. This value is passed along into
| encode() and its value should be one of the constants
| defined by Python.
| :return: A bytestring.
|
| encode_contents(self, indent_level=None, encoding='utf-8', formatter='minimal')
| Renders the contents of this PageElement as a bytestring.
|
| :param indent_level: Each line of the rendering will be
| indented this many spaces. Used internally in
| recursive calls while pretty-printing.
|
| :param eventual_encoding: The bytestring will be in this encoding.
|
| :param formatter: A Formatter object, or a string naming one of
| the standard Formatters.
|
| :return: A bytestring.
|
| find(self, name=None, attrs={}, recursive=True, text=None, **kwargs)
| Look in the children of this PageElement and find the first
| PageElement that matches the given criteria.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param recursive: If this is True, find() will perform a
| recursive search of this PageElement's children. Otherwise,
| only the direct children will be considered.
| :param limit: Stop looking after finding this many results.
| :kwargs: A dictionary of filters on attribute values.
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| findAll = find_all(self, name=None, attrs={}, recursive=True, text=None, limit=None, **kwargs)
|
| findChild = find(self, name=None, attrs={}, recursive=True, text=None, **kwargs)
|
| findChildren = find_all(self, name=None, attrs={}, recursive=True, text=None, limit=None, **kwargs)
|
| find_all(self, name=None, attrs={}, recursive=True, text=None, limit=None, **kwargs)
| Look in the children of this PageElement and find all
| PageElements that match the given criteria.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param recursive: If this is True, find_all() will perform a
| recursive search of this PageElement's children. Otherwise,
| only the direct children will be considered.
| :param limit: Stop looking after finding this many results.
| :kwargs: A dictionary of filters on attribute values.
| :return: A ResultSet of PageElements.
| :rtype: bs4.element.ResultSet
|
| get(self, key, default=None)
| Returns the value of the 'key' attribute for the tag, or
| the value given for 'default' if it doesn't have that
| attribute.
|
| getText = get_text(self, separator='', strip=False, types=(<class 'bs4.element.NavigableString'>, <class 'bs4.element.CData'>))
|
| get_attribute_list(self, key, default=None)
| The same as get(), but always returns a list.
|
| :param key: The attribute to look for.
| :param default: Use this value if the attribute is not present
| on this PageElement.
| :return: A list of values, probably containing only a single
| value.
|
| get_text(self, separator='', strip=False, types=(<class 'bs4.element.NavigableString'>, <class 'bs4.element.CData'>))
| Get all child strings, concatenated using the given separator.
|
| :param separator: Strings will be concatenated using this separator.
|
| :param strip: If True, strings will be stripped before being
| concatenated.
|
| :types: A tuple of NavigableString subclasses. Any strings of
| a subclass not found in this list will be ignored. By
| default, this means only NavigableString and CData objects
| will be considered. So no comments, processing instructions,
| stylesheets, etc.
|
| :return: A string.
|
| has_attr(self, key)
| Does this PageElement have an attribute with the given name?
|
| has_key(self, key)
| Deprecated method. This was kind of misleading because has_key()
| (attributes) was different from __in__ (contents).
|
| has_key() is gone in Python 3, anyway.
|
| index(self, element)
| Find the index of a child by identity, not value.
|
| Avoids issues with tag.contents.index(element) getting the
| index of equal elements.
|
| :param element: Look for this PageElement in `self.contents`.
|
| prettify(self, encoding=None, formatter='minimal')
| Pretty-print this PageElement as a string.
|
| :param encoding: The eventual encoding of the string. If this is None,
| a Unicode string will be returned.
| :param formatter: A Formatter object, or a string naming one of
| the standard formatters.
| :return: A Unicode string (if encoding==None) or a bytestring
| (otherwise).
|
| recursiveChildGenerator(self)
| Deprecated generator.
|
| renderContents(self, encoding='utf-8', prettyPrint=False, indentLevel=0)
| Deprecated method for BS3 compatibility.
|
| select(self, selector, namespaces=None, limit=None, **kwargs)
| Perform a CSS selection operation on the current element.
|
| This uses the SoupSieve library.
|
| :param selector: A string containing a CSS selector.
|
| :param namespaces: A dictionary mapping namespace prefixes
| used in the CSS selector to namespace URIs. By default,
| Beautiful Soup will use the prefixes it encountered while
| parsing the document.
|
| :param limit: After finding this number of results, stop looking.
|
| :param kwargs: Keyword arguments to be passed into SoupSieve's
| soupsieve.select() method.
|
| :return: A ResultSet of Tags.
| :rtype: bs4.element.ResultSet
|
| select_one(self, selector, namespaces=None, **kwargs)
| Perform a CSS selection operation on the current element.
|
| :param selector: A CSS selector.
|
| :param namespaces: A dictionary mapping namespace prefixes
| used in the CSS selector to namespace URIs. By default,
| Beautiful Soup will use the prefixes it encountered while
| parsing the document.
|
| :param kwargs: Keyword arguments to be passed into SoupSieve's
| soupsieve.select() method.
|
| :return: A Tag.
| :rtype: bs4.element.Tag
|
| smooth(self)
| Smooth out this element's children by consolidating consecutive
| strings.
|
| This makes pretty-printed output look more natural following a
| lot of operations that modified the tree.
|
| ----------------------------------------------------------------------
| Readonly properties inherited from bs4.element.Tag:
|
| children
| Iterate over all direct children of this PageElement.
|
| :yield: A sequence of PageElements.
|
| descendants
| Iterate over all children of this PageElement in a
| breadth-first sequence.
|
| :yield: A sequence of PageElements.
|
| isSelfClosing
| Is this tag an empty-element tag? (aka a self-closing tag)
|
| A tag that has contents is never an empty-element tag.
|
| A tag that has no contents may or may not be an empty-element
| tag. It depends on the builder used to create the tag. If the
| builder has a designated list of empty-element tags, then only
| a tag whose name shows up in that list is considered an
| empty-element tag.
|
| If the builder has no designated list of empty-element tags,
| then any tag with no contents is an empty-element tag.
|
| is_empty_element
| Is this tag an empty-element tag? (aka a self-closing tag)
|
| A tag that has contents is never an empty-element tag.
|
| A tag that has no contents may or may not be an empty-element
| tag. It depends on the builder used to create the tag. If the
| builder has a designated list of empty-element tags, then only
| a tag whose name shows up in that list is considered an
| empty-element tag.
|
| If the builder has no designated list of empty-element tags,
| then any tag with no contents is an empty-element tag.
|
| strings
| Yield all strings of certain classes, possibly stripping them.
|
| :param strip: If True, all strings will be stripped before being
| yielded.
|
| :types: A tuple of NavigableString subclasses. Any strings of
| a subclass not found in this list will be ignored. By
| default, this means only NavigableString and CData objects
| will be considered. So no comments, processing instructions,
| etc.
|
| :yield: A sequence of strings.
|
| stripped_strings
| Yield all strings in the document, stripping them first.
|
| :yield: A sequence of stripped strings.
|
| text
| Get all child strings, concatenated using the given separator.
|
| :param separator: Strings will be concatenated using this separator.
|
| :param strip: If True, strings will be stripped before being
| concatenated.
|
| :types: A tuple of NavigableString subclasses. Any strings of
| a subclass not found in this list will be ignored. By
| default, this means only NavigableString and CData objects
| will be considered. So no comments, processing instructions,
| stylesheets, etc.
|
| :return: A string.
|
| ----------------------------------------------------------------------
| Data descriptors inherited from bs4.element.Tag:
|
| parserClass
|
| string
| Convenience property to get the single string within this
| PageElement.
|
| TODO It might make sense to have NavigableString.string return
| itself.
|
| :return: If this element has a single string child, return
| value is that string. If this element has one child tag,
| return value is the 'string' attribute of the child tag,
| recursively. If this element is itself a string, has no
| children, or has more than one child, return value is None.
|
| ----------------------------------------------------------------------
| Methods inherited from bs4.element.PageElement:
|
| append(self, tag)
| Appends the given PageElement to the contents of this one.
|
| :param tag: A PageElement.
|
| extend(self, tags)
| Appends the given PageElements to this one's contents.
|
| :param tags: A list of PageElements.
|
| extract(self, _self_index=None)
| Destructively rips this element out of the tree.
|
| :param _self_index: The location of this element in its parent's
| .contents, if known. Passing this in allows for a performance
| optimization.
|
| :return: `self`, no longer part of the tree.
|
| fetchNextSiblings = find_next_siblings(self, name=None, attrs={}, text=None, limit=None, **kwargs)
|
| fetchParents = find_parents(self, name=None, attrs={}, limit=None, **kwargs)
|
| fetchPrevious = find_all_previous(self, name=None, attrs={}, text=None, limit=None, **kwargs)
|
| fetchPreviousSiblings = find_previous_siblings(self, name=None, attrs={}, text=None, limit=None, **kwargs)
|
| findAllNext = find_all_next(self, name=None, attrs={}, text=None, limit=None, **kwargs)
|
| findAllPrevious = find_all_previous(self, name=None, attrs={}, text=None, limit=None, **kwargs)
|
| findNext = find_next(self, name=None, attrs={}, text=None, **kwargs)
|
| findNextSibling = find_next_sibling(self, name=None, attrs={}, text=None, **kwargs)
|
| findNextSiblings = find_next_siblings(self, name=None, attrs={}, text=None, limit=None, **kwargs)
|
| findParent = find_parent(self, name=None, attrs={}, **kwargs)
|
| findParents = find_parents(self, name=None, attrs={}, limit=None, **kwargs)
|
| findPrevious = find_previous(self, name=None, attrs={}, text=None, **kwargs)
|
| findPreviousSibling = find_previous_sibling(self, name=None, attrs={}, text=None, **kwargs)
|
| findPreviousSiblings = find_previous_siblings(self, name=None, attrs={}, text=None, limit=None, **kwargs)
|
| find_all_next(self, name=None, attrs={}, text=None, limit=None, **kwargs)
| Find all PageElements that match the given criteria and appear
| later in the document than this PageElement.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :param limit: Stop looking after finding this many results.
| :kwargs: A dictionary of filters on attribute values.
| :return: A ResultSet containing PageElements.
|
| find_all_previous(self, name=None, attrs={}, text=None, limit=None, **kwargs)
| Look backwards in the document from this PageElement and find all
| PageElements that match the given criteria.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :param limit: Stop looking after finding this many results.
| :kwargs: A dictionary of filters on attribute values.
| :return: A ResultSet of PageElements.
| :rtype: bs4.element.ResultSet
|
| find_next(self, name=None, attrs={}, text=None, **kwargs)
| Find the first PageElement that matches the given criteria and
| appears later in the document than this PageElement.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :kwargs: A dictionary of filters on attribute values.
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| find_next_sibling(self, name=None, attrs={}, text=None, **kwargs)
| Find the closest sibling to this PageElement that matches the
| given criteria and appears later in the document.
|
| All find_* methods take a common set of arguments. See the
| online documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :kwargs: A dictionary of filters on attribute values.
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| find_next_siblings(self, name=None, attrs={}, text=None, limit=None, **kwargs)
| Find all siblings of this PageElement that match the given criteria
| and appear later in the document.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :param limit: Stop looking after finding this many results.
| :kwargs: A dictionary of filters on attribute values.
| :return: A ResultSet of PageElements.
| :rtype: bs4.element.ResultSet
|
| find_parent(self, name=None, attrs={}, **kwargs)
| Find the closest parent of this PageElement that matches the given
| criteria.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :kwargs: A dictionary of filters on attribute values.
|
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| find_parents(self, name=None, attrs={}, limit=None, **kwargs)
| Find all parents of this PageElement that match the given criteria.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param limit: Stop looking after finding this many results.
| :kwargs: A dictionary of filters on attribute values.
|
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| find_previous(self, name=None, attrs={}, text=None, **kwargs)
| Look backwards in the document from this PageElement and find the
| first PageElement that matches the given criteria.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :kwargs: A dictionary of filters on attribute values.
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| find_previous_sibling(self, name=None, attrs={}, text=None, **kwargs)
| Returns the closest sibling to this PageElement that matches the
| given criteria and appears earlier in the document.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :kwargs: A dictionary of filters on attribute values.
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| find_previous_siblings(self, name=None, attrs={}, text=None, limit=None, **kwargs)
| Returns all siblings to this PageElement that match the
| given criteria and appear earlier in the document.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :param limit: Stop looking after finding this many results.
| :kwargs: A dictionary of filters on attribute values.
| :return: A ResultSet of PageElements.
| :rtype: bs4.element.ResultSet
|
| format_string(self, s, formatter)
| Format the given string using the given formatter.
|
| :param s: A string.
| :param formatter: A Formatter object, or a string naming one of the standard formatters.
|
| formatter_for_name(self, formatter)
| Look up or create a Formatter for the given identifier,
| if necessary.
|
| :param formatter: Can be a Formatter object (used as-is), a
| function (used as the entity substitution hook for an
| XMLFormatter or HTMLFormatter), or a string (used to look
| up an XMLFormatter or HTMLFormatter in the appropriate
| registry.
|
| insert(self, position, new_child)
| Insert a new PageElement in the list of this PageElement's children.
|
| This works the same way as `list.insert`.
|
| :param position: The numeric position that should be occupied
| in `self.children` by the new PageElement.
| :param new_child: A PageElement.
|
| nextGenerator(self)
| # Old non-property versions of the generators, for backwards
| # compatibility with BS3.
|
| nextSiblingGenerator(self)
|
| parentGenerator(self)
|
| previousGenerator(self)
|
| previousSiblingGenerator(self)
|
| replaceWith = replace_with(self, replace_with)
|
| replaceWithChildren = unwrap(self)
|
| replace_with(self, replace_with)
| Replace this PageElement with another one, keeping the rest of the
| tree the same.
|
| :param replace_with: A PageElement.
| :return: `self`, no longer part of the tree.
|
| replace_with_children = unwrap(self)
|
| setup(self, parent=None, previous_element=None, next_element=None, previous_sibling=None, next_sibling=None)
| Sets up the initial relations between this element and
| other elements.
|
| :param parent: The parent of this element.
|
| :param previous_element: The element parsed immediately before
| this one.
|
| :param next_element: The element parsed immediately before
| this one.
|
| :param previous_sibling: The most recently encountered element
| on the same level of the parse tree as this one.
|
| :param previous_sibling: The next element to be encountered
| on the same level of the parse tree as this one.
|
| unwrap(self)
| Replace this PageElement with its contents.
|
| :return: `self`, no longer part of the tree.
|
| wrap(self, wrap_inside)
| Wrap this PageElement inside another one.
|
| :param wrap_inside: A PageElement.
| :return: `wrap_inside`, occupying the position in the tree that used
| to be occupied by `self`, and with `self` inside it.
|
| ----------------------------------------------------------------------
| Readonly properties inherited from bs4.element.PageElement:
|
| decomposed
| Check whether a PageElement has been decomposed.
|
| :rtype: bool
|
| next
| The PageElement, if any, that was parsed just after this one.
|
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| next_elements
| All PageElements that were parsed after this one.
|
| :yield: A sequence of PageElements.
|
| next_siblings
| All PageElements that are siblings of this one but were parsed
| later.
|
| :yield: A sequence of PageElements.
|
| parents
| All PageElements that are parents of this PageElement.
|
| :yield: A sequence of PageElements.
|
| previous
| The PageElement, if any, that was parsed just before this one.
|
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| previous_elements
| All PageElements that were parsed before this one.
|
| :yield: A sequence of PageElements.
|
| previous_siblings
| All PageElements that are siblings of this one but were parsed
| earlier.
|
| :yield: A sequence of PageElements.
|
| ----------------------------------------------------------------------
| Data descriptors inherited from bs4.element.PageElement:
|
| __dict__
| dictionary for instance variables (if defined)
|
| __weakref__
| list of weak references to the object (if defined)
|
| nextSibling
|
| previousSibling
DATA
__all__ = ['BeautifulSoup']
__copyright__ = 'Copyright (c) 2004-2020 Leonard Richardson'
__license__ = 'MIT'
VERSION
4.9.3
AUTHOR
Leonard Richardson (leonardr@segfault.org)
FILE
c:\users\mycom\anaconda3\lib\site-packages\bs4\__init__.py
c = bs4.BeautifulSoup(f.read(), 'html.parser')
help(c)
Help on BeautifulSoup in module bs4 object:
class BeautifulSoup(bs4.element.Tag)
| BeautifulSoup(markup='', features=None, builder=None, parse_only=None, from_encoding=None, exclude_encodings=None, element_classes=None, **kwargs)
|
| A data structure representing a parsed HTML or XML document.
|
| Most of the methods you'll call on a BeautifulSoup object are inherited from
| PageElement or Tag.
|
| Internally, this class defines the basic interface called by the
| tree builders when converting an HTML/XML document into a data
| structure. The interface abstracts away the differences between
| parsers. To write a new tree builder, you'll need to understand
| these methods as a whole.
|
| These methods will be called by the BeautifulSoup constructor:
| * reset()
| * feed(markup)
|
| The tree builder may call these methods from its feed() implementation:
| * handle_starttag(name, attrs) # See note about return value
| * handle_endtag(name)
| * handle_data(data) # Appends to the current data node
| * endData(containerClass) # Ends the current data node
|
| No matter how complicated the underlying parser is, you should be
| able to build a tree using 'start tag' events, 'end tag' events,
| 'data' events, and "done with data" events.
|
| If you encounter an empty-element tag (aka a self-closing tag,
| like HTML's <br> tag), call handle_starttag and then
| handle_endtag.
|
| Method resolution order:
| BeautifulSoup
| bs4.element.Tag
| bs4.element.PageElement
| builtins.object
|
| Methods defined here:
|
| __copy__(self)
| Copy a BeautifulSoup object by converting the document to a string and parsing it again.
|
| __getstate__(self)
|
| __init__(self, markup='', features=None, builder=None, parse_only=None, from_encoding=None, exclude_encodings=None, element_classes=None, **kwargs)
| Constructor.
|
| :param markup: A string or a file-like object representing
| markup to be parsed.
|
| :param features: Desirable features of the parser to be
| used. This may be the name of a specific parser ("lxml",
| "lxml-xml", "html.parser", or "html5lib") or it may be the
| type of markup to be used ("html", "html5", "xml"). It's
| recommended that you name a specific parser, so that
| Beautiful Soup gives you the same results across platforms
| and virtual environments.
|
| :param builder: A TreeBuilder subclass to instantiate (or
| instance to use) instead of looking one up based on
| `features`. You only need to use this if you've implemented a
| custom TreeBuilder.
|
| :param parse_only: A SoupStrainer. Only parts of the document
| matching the SoupStrainer will be considered. This is useful
| when parsing part of a document that would otherwise be too
| large to fit into memory.
|
| :param from_encoding: A string indicating the encoding of the
| document to be parsed. Pass this in if Beautiful Soup is
| guessing wrongly about the document's encoding.
|
| :param exclude_encodings: A list of strings indicating
| encodings known to be wrong. Pass this in if you don't know
| the document's encoding but you know Beautiful Soup's guess is
| wrong.
|
| :param element_classes: A dictionary mapping BeautifulSoup
| classes like Tag and NavigableString, to other classes you'd
| like to be instantiated instead as the parse tree is
| built. This is useful for subclassing Tag or NavigableString
| to modify default behavior.
|
| :param kwargs: For backwards compatibility purposes, the
| constructor accepts certain keyword arguments used in
| Beautiful Soup 3. None of these arguments do anything in
| Beautiful Soup 4; they will result in a warning and then be
| ignored.
|
| Apart from this, any keyword arguments passed into the
| BeautifulSoup constructor are propagated to the TreeBuilder
| constructor. This makes it possible to configure a
| TreeBuilder by passing in arguments, not just by saying which
| one to use.
|
| decode(self, pretty_print=False, eventual_encoding='utf-8', formatter='minimal')
| Returns a string or Unicode representation of the parse tree
| as an HTML or XML document.
|
| :param pretty_print: If this is True, indentation will be used to
| make the document more readable.
| :param eventual_encoding: The encoding of the final document.
| If this is None, the document will be a Unicode string.
|
| endData(self, containerClass=None)
| Method called by the TreeBuilder when the end of a data segment
| occurs.
|
| handle_data(self, data)
| Called by the tree builder when a chunk of textual data is encountered.
|
| handle_endtag(self, name, nsprefix=None)
| Called by the tree builder when an ending tag is encountered.
|
| :param name: Name of the tag.
| :param nsprefix: Namespace prefix for the tag.
|
| handle_starttag(self, name, namespace, nsprefix, attrs, sourceline=None, sourcepos=None)
| Called by the tree builder when a new tag is encountered.
|
| :param name: Name of the tag.
| :param nsprefix: Namespace prefix for the tag.
| :param attrs: A dictionary of attribute values.
| :param sourceline: The line number where this tag was found in its
| source document.
| :param sourcepos: The character position within `sourceline` where this
| tag was found.
|
| If this method returns None, the tag was rejected by an active
| SoupStrainer. You should proceed as if the tag had not occurred
| in the document. For instance, if this was a self-closing tag,
| don't call handle_endtag.
|
| insert_after(self, *args)
| This method is part of the PageElement API, but `BeautifulSoup` doesn't implement
| it because there is nothing before or after it in the parse tree.
|
| insert_before(self, *args)
| This method is part of the PageElement API, but `BeautifulSoup` doesn't implement
| it because there is nothing before or after it in the parse tree.
|
| new_string(self, s, subclass=None)
| Create a new NavigableString associated with this BeautifulSoup
| object.
|
| new_tag(self, name, namespace=None, nsprefix=None, attrs={}, sourceline=None, sourcepos=None, **kwattrs)
| Create a new Tag associated with this BeautifulSoup object.
|
| :param name: The name of the new Tag.
| :param namespace: The URI of the new Tag's XML namespace, if any.
| :param prefix: The prefix for the new Tag's XML namespace, if any.
| :param attrs: A dictionary of this Tag's attribute values; can
| be used instead of `kwattrs` for attributes like 'class'
| that are reserved words in Python.
| :param sourceline: The line number where this tag was
| (purportedly) found in its source document.
| :param sourcepos: The character position within `sourceline` where this
| tag was (purportedly) found.
| :param kwattrs: Keyword arguments for the new Tag's attribute values.
|
| object_was_parsed(self, o, parent=None, most_recent_element=None)
| Method called by the TreeBuilder to integrate an object into the parse tree.
|
| popTag(self)
| Internal method called by _popToTag when a tag is closed.
|
| pushTag(self, tag)
| Internal method called by handle_starttag when a tag is opened.
|
| reset(self)
| Reset this object to a state as though it had never parsed any
| markup.
|
| string_container(self, base_class=None)
|
| ----------------------------------------------------------------------
| Data and other attributes defined here:
|
| ASCII_SPACES = ' \n\t\x0c\r'
|
| DEFAULT_BUILDER_FEATURES = ['html', 'fast']
|
| NO_PARSER_SPECIFIED_WARNING = 'No parser was explicitly specified, so ...
|
| ROOT_TAG_NAME = '[document]'
|
| ----------------------------------------------------------------------
| Methods inherited from bs4.element.Tag:
|
| __bool__(self)
| A tag is non-None even if it has no contents.
|
| __call__(self, *args, **kwargs)
| Calling a Tag like a function is the same as calling its
| find_all() method. Eg. tag('a') returns a list of all the A tags
| found within this tag.
|
| __contains__(self, x)
|
| __delitem__(self, key)
| Deleting tag[key] deletes all 'key' attributes for the tag.
|
| __eq__(self, other)
| Returns true iff this Tag has the same name, the same attributes,
| and the same contents (recursively) as `other`.
|
| __getattr__(self, tag)
| Calling tag.subtag is the same as calling tag.find(name="subtag")
|
| __getitem__(self, key)
| tag[key] returns the value of the 'key' attribute for the Tag,
| and throws an exception if it's not there.
|
| __hash__(self)
| Return hash(self).
|
| __iter__(self)
| Iterating over a Tag iterates over its contents.
|
| __len__(self)
| The length of a Tag is the length of its list of contents.
|
| __ne__(self, other)
| Returns true iff this Tag is not identical to `other`,
| as defined in __eq__.
|
| __repr__ = __unicode__(self)
|
| __setitem__(self, key, value)
| Setting tag[key] sets the value of the 'key' attribute for the
| tag.
|
| __str__ = __unicode__(self)
|
| __unicode__(self)
| Renders this PageElement as a Unicode string.
|
| childGenerator(self)
| Deprecated generator.
|
| clear(self, decompose=False)
| Wipe out all children of this PageElement by calling extract()
| on them.
|
| :param decompose: If this is True, decompose() (a more
| destructive method) will be called instead of extract().
|
| decode_contents(self, indent_level=None, eventual_encoding='utf-8', formatter='minimal')
| Renders the contents of this tag as a Unicode string.
|
| :param indent_level: Each line of the rendering will be
| indented this many spaces. Used internally in
| recursive calls while pretty-printing.
|
| :param eventual_encoding: The tag is destined to be
| encoded into this encoding. decode_contents() is _not_
| responsible for performing that encoding. This information
| is passed in so that it can be substituted in if the
| document contains a <META> tag that mentions the document's
| encoding.
|
| :param formatter: A Formatter object, or a string naming one of
| the standard Formatters.
|
| decompose(self)
| Recursively destroys this PageElement and its children.
|
| This element will be removed from the tree and wiped out; so
| will everything beneath it.
|
| The behavior of a decomposed PageElement is undefined and you
| should never use one for anything, but if you need to _check_
| whether an element has been decomposed, you can use the
| `decomposed` property.
|
| encode(self, encoding='utf-8', indent_level=None, formatter='minimal', errors='xmlcharrefreplace')
| Render a bytestring representation of this PageElement and its
| contents.
|
| :param encoding: The destination encoding.
| :param indent_level: Each line of the rendering will be
| indented this many spaces. Used internally in
| recursive calls while pretty-printing.
| :param formatter: A Formatter object, or a string naming one of
| the standard formatters.
| :param errors: An error handling strategy such as
| 'xmlcharrefreplace'. This value is passed along into
| encode() and its value should be one of the constants
| defined by Python.
| :return: A bytestring.
|
| encode_contents(self, indent_level=None, encoding='utf-8', formatter='minimal')
| Renders the contents of this PageElement as a bytestring.
|
| :param indent_level: Each line of the rendering will be
| indented this many spaces. Used internally in
| recursive calls while pretty-printing.
|
| :param eventual_encoding: The bytestring will be in this encoding.
|
| :param formatter: A Formatter object, or a string naming one of
| the standard Formatters.
|
| :return: A bytestring.
|
| find(self, name=None, attrs={}, recursive=True, text=None, **kwargs)
| Look in the children of this PageElement and find the first
| PageElement that matches the given criteria.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param recursive: If this is True, find() will perform a
| recursive search of this PageElement's children. Otherwise,
| only the direct children will be considered.
| :param limit: Stop looking after finding this many results.
| :kwargs: A dictionary of filters on attribute values.
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| findAll = find_all(self, name=None, attrs={}, recursive=True, text=None, limit=None, **kwargs)
|
| findChild = find(self, name=None, attrs={}, recursive=True, text=None, **kwargs)
|
| findChildren = find_all(self, name=None, attrs={}, recursive=True, text=None, limit=None, **kwargs)
|
| find_all(self, name=None, attrs={}, recursive=True, text=None, limit=None, **kwargs)
| Look in the children of this PageElement and find all
| PageElements that match the given criteria.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param recursive: If this is True, find_all() will perform a
| recursive search of this PageElement's children. Otherwise,
| only the direct children will be considered.
| :param limit: Stop looking after finding this many results.
| :kwargs: A dictionary of filters on attribute values.
| :return: A ResultSet of PageElements.
| :rtype: bs4.element.ResultSet
|
| get(self, key, default=None)
| Returns the value of the 'key' attribute for the tag, or
| the value given for 'default' if it doesn't have that
| attribute.
|
| getText = get_text(self, separator='', strip=False, types=(<class 'bs4.element.NavigableString'>, <class 'bs4.element.CData'>))
|
| get_attribute_list(self, key, default=None)
| The same as get(), but always returns a list.
|
| :param key: The attribute to look for.
| :param default: Use this value if the attribute is not present
| on this PageElement.
| :return: A list of values, probably containing only a single
| value.
|
| get_text(self, separator='', strip=False, types=(<class 'bs4.element.NavigableString'>, <class 'bs4.element.CData'>))
| Get all child strings, concatenated using the given separator.
|
| :param separator: Strings will be concatenated using this separator.
|
| :param strip: If True, strings will be stripped before being
| concatenated.
|
| :types: A tuple of NavigableString subclasses. Any strings of
| a subclass not found in this list will be ignored. By
| default, this means only NavigableString and CData objects
| will be considered. So no comments, processing instructions,
| stylesheets, etc.
|
| :return: A string.
|
| has_attr(self, key)
| Does this PageElement have an attribute with the given name?
|
| has_key(self, key)
| Deprecated method. This was kind of misleading because has_key()
| (attributes) was different from __in__ (contents).
|
| has_key() is gone in Python 3, anyway.
|
| index(self, element)
| Find the index of a child by identity, not value.
|
| Avoids issues with tag.contents.index(element) getting the
| index of equal elements.
|
| :param element: Look for this PageElement in `self.contents`.
|
| prettify(self, encoding=None, formatter='minimal')
| Pretty-print this PageElement as a string.
|
| :param encoding: The eventual encoding of the string. If this is None,
| a Unicode string will be returned.
| :param formatter: A Formatter object, or a string naming one of
| the standard formatters.
| :return: A Unicode string (if encoding==None) or a bytestring
| (otherwise).
|
| recursiveChildGenerator(self)
| Deprecated generator.
|
| renderContents(self, encoding='utf-8', prettyPrint=False, indentLevel=0)
| Deprecated method for BS3 compatibility.
|
| select(self, selector, namespaces=None, limit=None, **kwargs)
| Perform a CSS selection operation on the current element.
|
| This uses the SoupSieve library.
|
| :param selector: A string containing a CSS selector.
|
| :param namespaces: A dictionary mapping namespace prefixes
| used in the CSS selector to namespace URIs. By default,
| Beautiful Soup will use the prefixes it encountered while
| parsing the document.
|
| :param limit: After finding this number of results, stop looking.
|
| :param kwargs: Keyword arguments to be passed into SoupSieve's
| soupsieve.select() method.
|
| :return: A ResultSet of Tags.
| :rtype: bs4.element.ResultSet
|
| select_one(self, selector, namespaces=None, **kwargs)
| Perform a CSS selection operation on the current element.
|
| :param selector: A CSS selector.
|
| :param namespaces: A dictionary mapping namespace prefixes
| used in the CSS selector to namespace URIs. By default,
| Beautiful Soup will use the prefixes it encountered while
| parsing the document.
|
| :param kwargs: Keyword arguments to be passed into SoupSieve's
| soupsieve.select() method.
|
| :return: A Tag.
| :rtype: bs4.element.Tag
|
| smooth(self)
| Smooth out this element's children by consolidating consecutive
| strings.
|
| This makes pretty-printed output look more natural following a
| lot of operations that modified the tree.
|
| ----------------------------------------------------------------------
| Readonly properties inherited from bs4.element.Tag:
|
| children
| Iterate over all direct children of this PageElement.
|
| :yield: A sequence of PageElements.
|
| descendants
| Iterate over all children of this PageElement in a
| breadth-first sequence.
|
| :yield: A sequence of PageElements.
|
| isSelfClosing
| Is this tag an empty-element tag? (aka a self-closing tag)
|
| A tag that has contents is never an empty-element tag.
|
| A tag that has no contents may or may not be an empty-element
| tag. It depends on the builder used to create the tag. If the
| builder has a designated list of empty-element tags, then only
| a tag whose name shows up in that list is considered an
| empty-element tag.
|
| If the builder has no designated list of empty-element tags,
| then any tag with no contents is an empty-element tag.
|
| is_empty_element
| Is this tag an empty-element tag? (aka a self-closing tag)
|
| A tag that has contents is never an empty-element tag.
|
| A tag that has no contents may or may not be an empty-element
| tag. It depends on the builder used to create the tag. If the
| builder has a designated list of empty-element tags, then only
| a tag whose name shows up in that list is considered an
| empty-element tag.
|
| If the builder has no designated list of empty-element tags,
| then any tag with no contents is an empty-element tag.
|
| strings
| Yield all strings of certain classes, possibly stripping them.
|
| :param strip: If True, all strings will be stripped before being
| yielded.
|
| :types: A tuple of NavigableString subclasses. Any strings of
| a subclass not found in this list will be ignored. By
| default, this means only NavigableString and CData objects
| will be considered. So no comments, processing instructions,
| etc.
|
| :yield: A sequence of strings.
|
| stripped_strings
| Yield all strings in the document, stripping them first.
|
| :yield: A sequence of stripped strings.
|
| text
| Get all child strings, concatenated using the given separator.
|
| :param separator: Strings will be concatenated using this separator.
|
| :param strip: If True, strings will be stripped before being
| concatenated.
|
| :types: A tuple of NavigableString subclasses. Any strings of
| a subclass not found in this list will be ignored. By
| default, this means only NavigableString and CData objects
| will be considered. So no comments, processing instructions,
| stylesheets, etc.
|
| :return: A string.
|
| ----------------------------------------------------------------------
| Data descriptors inherited from bs4.element.Tag:
|
| parserClass
|
| string
| Convenience property to get the single string within this
| PageElement.
|
| TODO It might make sense to have NavigableString.string return
| itself.
|
| :return: If this element has a single string child, return
| value is that string. If this element has one child tag,
| return value is the 'string' attribute of the child tag,
| recursively. If this element is itself a string, has no
| children, or has more than one child, return value is None.
|
| ----------------------------------------------------------------------
| Methods inherited from bs4.element.PageElement:
|
| append(self, tag)
| Appends the given PageElement to the contents of this one.
|
| :param tag: A PageElement.
|
| extend(self, tags)
| Appends the given PageElements to this one's contents.
|
| :param tags: A list of PageElements.
|
| extract(self, _self_index=None)
| Destructively rips this element out of the tree.
|
| :param _self_index: The location of this element in its parent's
| .contents, if known. Passing this in allows for a performance
| optimization.
|
| :return: `self`, no longer part of the tree.
|
| fetchNextSiblings = find_next_siblings(self, name=None, attrs={}, text=None, limit=None, **kwargs)
|
| fetchParents = find_parents(self, name=None, attrs={}, limit=None, **kwargs)
|
| fetchPrevious = find_all_previous(self, name=None, attrs={}, text=None, limit=None, **kwargs)
|
| fetchPreviousSiblings = find_previous_siblings(self, name=None, attrs={}, text=None, limit=None, **kwargs)
|
| findAllNext = find_all_next(self, name=None, attrs={}, text=None, limit=None, **kwargs)
|
| findAllPrevious = find_all_previous(self, name=None, attrs={}, text=None, limit=None, **kwargs)
|
| findNext = find_next(self, name=None, attrs={}, text=None, **kwargs)
|
| findNextSibling = find_next_sibling(self, name=None, attrs={}, text=None, **kwargs)
|
| findNextSiblings = find_next_siblings(self, name=None, attrs={}, text=None, limit=None, **kwargs)
|
| findParent = find_parent(self, name=None, attrs={}, **kwargs)
|
| findParents = find_parents(self, name=None, attrs={}, limit=None, **kwargs)
|
| findPrevious = find_previous(self, name=None, attrs={}, text=None, **kwargs)
|
| findPreviousSibling = find_previous_sibling(self, name=None, attrs={}, text=None, **kwargs)
|
| findPreviousSiblings = find_previous_siblings(self, name=None, attrs={}, text=None, limit=None, **kwargs)
|
| find_all_next(self, name=None, attrs={}, text=None, limit=None, **kwargs)
| Find all PageElements that match the given criteria and appear
| later in the document than this PageElement.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :param limit: Stop looking after finding this many results.
| :kwargs: A dictionary of filters on attribute values.
| :return: A ResultSet containing PageElements.
|
| find_all_previous(self, name=None, attrs={}, text=None, limit=None, **kwargs)
| Look backwards in the document from this PageElement and find all
| PageElements that match the given criteria.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :param limit: Stop looking after finding this many results.
| :kwargs: A dictionary of filters on attribute values.
| :return: A ResultSet of PageElements.
| :rtype: bs4.element.ResultSet
|
| find_next(self, name=None, attrs={}, text=None, **kwargs)
| Find the first PageElement that matches the given criteria and
| appears later in the document than this PageElement.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :kwargs: A dictionary of filters on attribute values.
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| find_next_sibling(self, name=None, attrs={}, text=None, **kwargs)
| Find the closest sibling to this PageElement that matches the
| given criteria and appears later in the document.
|
| All find_* methods take a common set of arguments. See the
| online documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :kwargs: A dictionary of filters on attribute values.
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| find_next_siblings(self, name=None, attrs={}, text=None, limit=None, **kwargs)
| Find all siblings of this PageElement that match the given criteria
| and appear later in the document.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :param limit: Stop looking after finding this many results.
| :kwargs: A dictionary of filters on attribute values.
| :return: A ResultSet of PageElements.
| :rtype: bs4.element.ResultSet
|
| find_parent(self, name=None, attrs={}, **kwargs)
| Find the closest parent of this PageElement that matches the given
| criteria.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :kwargs: A dictionary of filters on attribute values.
|
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| find_parents(self, name=None, attrs={}, limit=None, **kwargs)
| Find all parents of this PageElement that match the given criteria.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param limit: Stop looking after finding this many results.
| :kwargs: A dictionary of filters on attribute values.
|
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| find_previous(self, name=None, attrs={}, text=None, **kwargs)
| Look backwards in the document from this PageElement and find the
| first PageElement that matches the given criteria.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :kwargs: A dictionary of filters on attribute values.
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| find_previous_sibling(self, name=None, attrs={}, text=None, **kwargs)
| Returns the closest sibling to this PageElement that matches the
| given criteria and appears earlier in the document.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :kwargs: A dictionary of filters on attribute values.
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| find_previous_siblings(self, name=None, attrs={}, text=None, limit=None, **kwargs)
| Returns all siblings to this PageElement that match the
| given criteria and appear earlier in the document.
|
| All find_* methods take a common set of arguments. See the online
| documentation for detailed explanations.
|
| :param name: A filter on tag name.
| :param attrs: A dictionary of filters on attribute values.
| :param text: A filter for a NavigableString with specific text.
| :param limit: Stop looking after finding this many results.
| :kwargs: A dictionary of filters on attribute values.
| :return: A ResultSet of PageElements.
| :rtype: bs4.element.ResultSet
|
| format_string(self, s, formatter)
| Format the given string using the given formatter.
|
| :param s: A string.
| :param formatter: A Formatter object, or a string naming one of the standard formatters.
|
| formatter_for_name(self, formatter)
| Look up or create a Formatter for the given identifier,
| if necessary.
|
| :param formatter: Can be a Formatter object (used as-is), a
| function (used as the entity substitution hook for an
| XMLFormatter or HTMLFormatter), or a string (used to look
| up an XMLFormatter or HTMLFormatter in the appropriate
| registry.
|
| insert(self, position, new_child)
| Insert a new PageElement in the list of this PageElement's children.
|
| This works the same way as `list.insert`.
|
| :param position: The numeric position that should be occupied
| in `self.children` by the new PageElement.
| :param new_child: A PageElement.
|
| nextGenerator(self)
| # Old non-property versions of the generators, for backwards
| # compatibility with BS3.
|
| nextSiblingGenerator(self)
|
| parentGenerator(self)
|
| previousGenerator(self)
|
| previousSiblingGenerator(self)
|
| replaceWith = replace_with(self, replace_with)
|
| replaceWithChildren = unwrap(self)
|
| replace_with(self, replace_with)
| Replace this PageElement with another one, keeping the rest of the
| tree the same.
|
| :param replace_with: A PageElement.
| :return: `self`, no longer part of the tree.
|
| replace_with_children = unwrap(self)
|
| setup(self, parent=None, previous_element=None, next_element=None, previous_sibling=None, next_sibling=None)
| Sets up the initial relations between this element and
| other elements.
|
| :param parent: The parent of this element.
|
| :param previous_element: The element parsed immediately before
| this one.
|
| :param next_element: The element parsed immediately before
| this one.
|
| :param previous_sibling: The most recently encountered element
| on the same level of the parse tree as this one.
|
| :param previous_sibling: The next element to be encountered
| on the same level of the parse tree as this one.
|
| unwrap(self)
| Replace this PageElement with its contents.
|
| :return: `self`, no longer part of the tree.
|
| wrap(self, wrap_inside)
| Wrap this PageElement inside another one.
|
| :param wrap_inside: A PageElement.
| :return: `wrap_inside`, occupying the position in the tree that used
| to be occupied by `self`, and with `self` inside it.
|
| ----------------------------------------------------------------------
| Readonly properties inherited from bs4.element.PageElement:
|
| decomposed
| Check whether a PageElement has been decomposed.
|
| :rtype: bool
|
| next
| The PageElement, if any, that was parsed just after this one.
|
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| next_elements
| All PageElements that were parsed after this one.
|
| :yield: A sequence of PageElements.
|
| next_siblings
| All PageElements that are siblings of this one but were parsed
| later.
|
| :yield: A sequence of PageElements.
|
| parents
| All PageElements that are parents of this PageElement.
|
| :yield: A sequence of PageElements.
|
| previous
| The PageElement, if any, that was parsed just before this one.
|
| :return: A PageElement.
| :rtype: bs4.element.Tag | bs4.element.NavigableString
|
| previous_elements
| All PageElements that were parsed before this one.
|
| :yield: A sequence of PageElements.
|
| previous_siblings
| All PageElements that are siblings of this one but were parsed
| earlier.
|
| :yield: A sequence of PageElements.
|
| ----------------------------------------------------------------------
| Data descriptors inherited from bs4.element.PageElement:
|
| __dict__
| dictionary for instance variables (if defined)
|
| __weakref__
| list of weak references to the object (if defined)
|
| nextSibling
|
| previousSibling
f = open("index.do","r",encoding="utf-8")
contents = f.read()
f.seek(0)
0
print(contents)
<!DOCTYPE html>
<html lang="ko">
<head>
<meta charset="utf-8">
<title>경희대학교</title>
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0, maximum-scale=1.0, user-scalable=no">
<link rel="shortcut icon" href="/kor/resources/user/img/favicon.ico" type="image/x-icon">
<link rel="stylesheet" href="/kor/resources/user/css/jquery.bxslider.css">
<link rel="stylesheet" href="/kor/resources/user/css/base.css">
<link rel="stylesheet" href="/kor/resources/user/css/common.css">
<link rel="stylesheet" href="/kor/resources/user/css/contents.css">
<link rel="stylesheet" href="/kor/resources/user/css/jquery.mCustomScrollbar.css">
<script src="/kor/resources/user/js/jquery-1.11.2.min.js"></script>
<script src="/kor/resources/user/js/jquery.mCustomScrollbar.concat.min.js"></script>
<script src="/kor/resources/user/js/jquery.bxslider.min.js"></script>
<script src="/kor/resources/user/js/style.js"></script>
<!--[if lt IE 9]>
<script src="/kor/resources/user/js/respond.js"></script>
<script src="/kor/resources/user/js/html5shiv.min.js"></script>
<![endif]-->
<script src="https://ajax.googleapis.com/ajax/libs/webfont/1.6.16/webfont.js"></script>
<script>
WebFont.load({
custom: {
families: ['notokr'],
urls: ['/kor/resources/user/font/notokr-black.eot', '/kor/resources/user/font/notokr-bold.eot']
}
});
</script>
<script>
var browser = 'Python-urllib/3.8';
var uri = '/kor/main/index.do';
var ip = '163.180.96.207';
var lang = 'ko';
var context = '/kor';
</script>
<!-- event 수정 20200422 S -->
<script type="text/javascript">
$(document).ready(function() {
$(".eventAct").on("click", function() {
if ($(".eventTop").hasClass("minArea")) {
$(".eventTop").removeClass('minArea');
}else{
$(".eventTop").addClass('minArea');
};
});
});
</script>
<!-- event 수정 20200422 E -->
</head>
<body class="">
<nav class="skip">
<ul>
<li><a href="#contents">본문 바로가기</a></li>
</ul>
</nav>
<div class="wrap">
<script>
function search(el){
if(event.keyCode==13){
document.sf.q.value=el.value;
document.sf.submit();
}
}
</script>
<header class="head">
<div class="mobileTopW">
<div class="container clearfix">
<h1 class="logo">
<a href="/kor/main/index.do"><img src="/kor/resources/user/img/pc/common/logo.png" class="pc" alt="경희대학교"><img src="/kor/resources/user/img/mobile/common/logo.jpg" class="mobile" alt="경희대학교"></a><!--20181217 태그 수정-->
</h1>
<div class="search">
<!-- 20181217 추가 -->
<label for="searchInput01" class="hidden">Search Site and People</label>
<input type="search" id="searchInput01" class="inputSearch" placeholder="Search Site & People"
onkeydown="search(this);"><!-- 20181217 id 추가 -->
<button class="btnSearch">search</button><!-- 20181217 href 삭제 -->
</div>
<form action="/kor/info/search.do" name="sf">
<input type="hidden" value="011072588127852259059:7bgph6ztzyg" name="cx">
<input type="hidden" value="FORID:10" name="cof">
<input type="hidden" value="UTF-8" name="ie">
<input type="hidden" value="11372" name="m">
<input type="hidden" id="sch-keyword" value="" class="searchTxt" name="q">
</form>
<button class="btnMenuM">
<span></span>
<span></span>
<span></span>
</button>
</div>
</div>
<div class="mobileMenuW">
<nav class="gnbW">
<div class="container clearfix">
<ul class="gnb clearfix">
<li>
<a href="javascript:void(0);" onclick="goFirstLink(this);" id="GNB01">대학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>
</ul>
</li>
<li>
<a href="/kor/prsd/index.do" target="_self">총장실</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>
<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>
<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>
<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>
<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>
<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>
</ul>
</li>
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<strong>코로나 시대, 슬기로운 대학 생...</strong>
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9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>
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전자공학과 이응규 교수가 금 나노 입자를 활용해 표면 버블을 만드는 원리를 규명했다. 이번 연구는 나노 분야 세계적인 ...</p>
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HK+통합의료인문학연구단이 영국 옥스퍼드대학교 마크 해리슨 교수와 국제 공동연구 프로젝트를 진행한다. 이번 연구는 해리...</p>
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경희 글쓰기 클리닉 프로그램 신청 안내 ‘코로나 19’의 전세계적인 확산으로 사회적...
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<strong class="titW">[추천채용] ㈜피씨디렉트 신입사원 채용</strong>
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㈜피씨디렉트 신입사원을 모집할 예정이며, 본교로 추천의뢰가 들어왔습니다. 이에 관심 있는...
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<strong class="titW">[국제교류팀] 경희대학교 학생을 위한 공식 ...</strong>
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<span class="date">2021.09.23</span>
ETS에서 경희대학교 학생을 위한 공식 GRE 설명회를 개최합니다.해외 대학원 및 경영대학...
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&lt; 2021년도 (재)원장재단 장학생 선발 공고 &gt;(재)원장재단은 서울시 소재 ...
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<span class="date">2021.09.15</span>
한방재료가공 학교기업에서 2021학년도 2학기 국가근로학생을 모집합니다. 1. 모집인원 :...
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<strong class="titW">[국제][대외][~9.28]2021년 하나금...</strong>
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2021년 국내 하나장학생 선발안내 Ⅰ. 하나장학금 개요 ...
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<span class="date">2021.09.23</span>
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2021학년도 2학기 최종 등록 기간 안내 (재학생 및 복학생)1. 등록금 납부 기간 : ...
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<strong class="titW">2021학년도 2학기 필수교과(기초교과) 이...</strong>
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2021학년도 2학기 필수교과(기초교과) 이수면제 신청 안내 1. 이수면제 대상과목...
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<span class="date">2021.09.16</span>
Visit the website ☞ pbf.khu.ac.kr ...
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<span class="date">2021.09.15</span>
웹사이트 방문 ☞ pbf.khu.ac.kr
...
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<strong class="titW">2021 대학박물관진흥지원사업-경희대 중앙박...</strong>
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<span class="date">2021.08.30</span>
아래 링크로 연결됩니다.http://museum.khu.ac.kr/contents/bbs/...
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<span class="date">2021.09.16</span>
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경희가 오는 9월 17일부터 12월까지 ‘제40회 UN 세계평화의 날 기념 Peace BA...
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<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>
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<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>
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<strong>[경희 FOCUS] 욘사마, 싸이, BTS 다음은?</strong>
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<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>
<p>#퍼가라옹 #해피추석</p>
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<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>
<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>
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<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>
<p>#UN #세계평화의날 #국제회의 #PBF</p>
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<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>
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<ul class="mainSlide">
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<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152897&page=1&pageSize=5" target="_blank">
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<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152297" target="_blank">
<strong class="slideTit" style="color:#ffffff">인생의 한 페이지이자, 삶의 터전 경희를 떠나며</strong>
<p class="slideTxt" style="color:#ffffff">교원 정년퇴임식, 교수님의 노고에 감사드립니다</p>
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<strong class="slideTit" style="color:#ffffff">양자 정보로 찾아낸 최적의 투자 포트폴리오</strong>
<p class="slideTxt" style="color:#ffffff">강누리·이건호·조우현 학생, ‘2021 양자정보경진대회’ 우수상 수상
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<strong class="slideTit" style="color:#ffffff">환자 돕는 기술 개발 의욕으로 챗봇 개발한 한의 군의관</strong>
<p class="slideTxt" style="color:#ffffff">육군 대위 이현훈 학생(대학원 임상한의학과 박사 수료), 의료용 인공지능 챗봇 개발</p>
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<h2 class="mainTit01 fontMer">Focus<a class="btnMore" href="/kor/focus/list.do?page=1&pageSize=5">더보기</a></h2>
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<strong>코로나 시대, 슬기로운 대학 생...</strong>
<p class="txtW">
9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>
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<strong>금 나노 입자 활용한 표면 버블...</strong>
<p class="txtW">
전자공학과 이응규 교수가 금 나노 입자를 활용해 표면 버블을 만드는 원리를 규명했다. 이번 연구는 나노 분야 세계적인 ...</p>
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<strong>HK+연구단, 옥스퍼드대 마크 ...</strong>
<p class="txtW">
HK+통합의료인문학연구단이 영국 옥스퍼드대학교 마크 해리슨 교수와 국제 공동연구 프로젝트를 진행한다. 이번 연구는 해리...</p>
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<strong class="titW">[공통]</strong>
<strong class="titW">교원 상시채용 Pool 등록</strong>
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<span class="date">2021.06.30</span>
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<strong class="titW">[공통]</strong>
<strong class="titW">경희 글쓰기클리닉 프로그램 신청 안내(10....</strong>
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<span class="date">2021.09.23</span>
경희 글쓰기 클리닉 프로그램 신청 안내 ‘코로나 19’의 전세계적인 확산으로 사회적...
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<strong class="titW">[국제]</strong>
<strong class="titW">[추천채용] ㈜피씨디렉트 신입사원 채용</strong>
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<span class="date">2021.09.23</span>
㈜피씨디렉트 신입사원을 모집할 예정이며, 본교로 추천의뢰가 들어왔습니다. 이에 관심 있는...
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<strong class="titW">[공통]</strong>
<strong class="titW">[국제교류팀] 경희대학교 학생을 위한 공식 ...</strong>
<p class="txtW">
<span class="date">2021.09.23</span>
ETS에서 경희대학교 학생을 위한 공식 GRE 설명회를 개최합니다.해외 대학원 및 경영대학...
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<strong class="titW">[서울]</strong>
<strong class="titW">[서울][대외][~10.29] 2021학년도...</strong>
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<span class="date">2021.09.17</span>
&lt; 2021년도 (재)원장재단 장학생 선발 공고 &gt;(재)원장재단은 서울시 소재 ...
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<strong class="titW">[국제]</strong>
<strong class="titW">[한방재료가공 학교기업] 2021-2학기 국...</strong>
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<span class="date">2021.09.15</span>
한방재료가공 학교기업에서 2021학년도 2학기 국가근로학생을 모집합니다. 1. 모집인원 :...
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<strong class="titW">[공통]</strong>
<strong class="titW">[공통][대외][~9.30] 2021년 고속...</strong>
<p class="txtW">
<span class="date">2021.09.14</span>
&lt; 2021년도 (재)고속도로장학재단 고속도로 장학생 선발 안내 &gt;1. 신청자격...
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<strong class="titW">[국제]</strong>
<strong class="titW">[국제][대외][~9.28]2021년 하나금...</strong>
<p class="txtW">
<span class="date">2021.09.13</span>
2021년 국내 하나장학생 선발안내 Ⅰ. 하나장학금 개요 ...
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<a class="btn09 fontMer" href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152727">More</a>
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<nav class="gnbW">
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<ul class="gnb clearfix">
<li>
<a href="javascript:void(0);" id="GNB01" onclick="goFirstLink(this);">대학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>
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<li>
<a href="/kor/prsd/index.do" target="_self">총장실</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>
<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>
<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>
<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>
<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>
<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>
</ul>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB02" onclick="goFirstLink(this);">입학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>
</ul>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB03" onclick="goFirstLink(this);">교육</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>
</li>
<li>
<a href="/kor/edu/list.do" target="_self">교원검색</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>
</ul>
</li>
</ul>
</div>
</li>
</ul>
<ul class="gnb gnbRight clearfix">
<li>
<a href="javascript:void(0);" id="GNB04" onclick="goFirstLink(this);">연구/산학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB05" onclick="goFirstLink(this);">교류/실천</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=449" target="_self">국제 교류</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">행사</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a></li>
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<strong class="slideTit" style="color:#ffffff"> </strong>
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<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152297" target="_blank">
<strong class="slideTit" style="color:#ffffff">인생의 한 페이지이자, 삶의 터전 경희를 떠나며</strong>
<p class="slideTxt" style="color:#ffffff">교원 정년퇴임식, 교수님의 노고에 감사드립니다</p>
</a>
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<li class="slide03" style="background-image: url(/kor/upload/catalog/catalog_file_1605247095082.jpg);">
<a class="fadeInDown" href="http://card.cakecomms.com/kyunghee_cheerforjuniors2020_2/card" target="_blank">
<strong class="slideTit" style="color:#ffffff"> </strong>
<p class="slideTxt" style="color:#ffffff">▶ 카드뉴스 바로가기 </p>
</a>
</li>
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<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152427&page=1" target="_blank">
<strong class="slideTit" style="color:#ffffff">양자 정보로 찾아낸 최적의 투자 포트폴리오</strong>
<p class="slideTxt" style="color:#ffffff">강누리·이건호·조우현 학생, ‘2021 양자정보경진대회’ 우수상 수상
</p>
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<strong class="slideTit" style="color:#ffffff">환자 돕는 기술 개발 의욕으로 챗봇 개발한 한의 군의관</strong>
<p class="slideTxt" style="color:#ffffff">육군 대위 이현훈 학생(대학원 임상한의학과 박사 수료), 의료용 인공지능 챗봇 개발</p>
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9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>
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HK+통합의료인문학연구단이 영국 옥스퍼드대학교 마크 해리슨 교수와 국제 공동연구 프로젝트를 진행한다. 이번 연구는 해리...</p>
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&lt; 2021년도 (재)원장재단 장학생 선발 공고 &gt;(재)원장재단은 서울시 소재 ...
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Visit the website ☞ pbf.khu.ac.kr ...
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웹사이트 방문 ☞ pbf.khu.ac.kr
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<span class="date">2021.08.30</span>
아래 링크로 연결됩니다.http://museum.khu.ac.kr/contents/bbs/...
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경희가 오는 9월 17일부터 12월까지 ‘제40회 UN 세계평화의 날 기념 Peace BA...
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<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>
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<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>
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<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>
<p>#퍼가라옹 #해피추석</p>
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<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>
<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>
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<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>
<p>#UN #세계평화의날 #국제회의 #PBF</p>
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9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>
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HK+통합의료인문학연구단이 영국 옥스퍼드대학교 마크 해리슨 교수와 국제 공동연구 프로젝트를 진행한다. 이번 연구는 해리...</p>
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㈜피씨디렉트 신입사원을 모집할 예정이며, 본교로 추천의뢰가 들어왔습니다. 이에 관심 있는...
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ETS에서 경희대학교 학생을 위한 공식 GRE 설명회를 개최합니다.해외 대학원 및 경영대학...
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&lt; 2021년도 (재)원장재단 장학생 선발 공고 &gt;(재)원장재단은 서울시 소재 ...
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한방재료가공 학교기업에서 2021학년도 2학기 국가근로학생을 모집합니다. 1. 모집인원 :...
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Visit the website ☞ pbf.khu.ac.kr ...
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웹사이트 방문 ☞ pbf.khu.ac.kr
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아래 링크로 연결됩니다.http://museum.khu.ac.kr/contents/bbs/...
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...
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<strong class="titW">[Kyung Hee e-News No.218] 인생의 한 페이지...</strong>
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<span class="date">2021.09.16</span>
...
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<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>
<p>#코로나19 #이전 #경희생활</p>
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<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>
<p>#총장과의 #대화</p>
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<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>
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<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>
<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>
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<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>
<p>#UN #세계평화의날 #국제회의 #PBF</p>
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<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>
</ul>
</li>
</ul>
</div>
</li>
</ul>
<ul class="gnb gnbRight clearfix">
<li>
<a href="javascript:void(0);" id="GNB04" onclick="goFirstLink(this);">연구/산학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB05" onclick="goFirstLink(this);">교류/실천</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=449" target="_self">국제 교류</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">행사</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=472" target="_self">입학식</a></li>
</ul>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB06" onclick="goFirstLink(this);">대학생활</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=527" target="_self">학생지원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=538" target="_self">동아리</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=543" target="_self">네오르네상스장학</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">도서관/박물관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">중앙도서관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=548" target="_self">중앙박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=549" target="_self">자연사박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=551" target="_self">혜정박물관</a></li>
<li><a href="/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">경희 역사 갤러리</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=555" target="_self">정보서비스</a>
</li>
<li>
<a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">커뮤니티</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">공지사항</a></li>
<li><a href="/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1" target="_self">커뮤니케이션 21</a></li>
<li><a href="/kor/forum/list.do?type=TUITION&category=NOTICE&page=1" target="_self">경희포럼</a></li>
<li><a href="/kor/wine/form.do" target="_self">경희와인</a></li>
<li><a href="/kor/vote/form.do" target="_self">경희 Survey</a></li>
<li><a href="/kor/competitionName/form.do" target="_self">경희 공모전</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=564" target="_self">경희미디어</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/focus/list.do?page=1&pageSize=5" target="_self">Focus</a></li>
<li><a href="/kor/highlight/list.do?page=1&pageSize=5" target="_self">Highlight</a></li>
<li><a href="/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">카드뉴스</a></li>
<li><a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_self">경희뉴스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=574" target="_self">교내언론</a></li>
<li><a href="/kor/video/list.do" target="_self">영상</a></li>
<li><a href="/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">포토갤러리</a></li>
</ul>
</li>
</ul>
</div>
</li>
</ul>
</div>
<div class="bgDepth2">
<div class="decoGnb">
<img alt="" src="/kor/resources/user/img/pc/common/decoGnb.png"/>
</div>
</div>
</nav>
<div class="utilW container">
<ul class="subMenu clearfix">
<li>
<a href="https://www.khu.ac.kr/kor/prsdInquiry/list.do?page=1" target="_blank">열린총장실</a>
</li>
<li>
<a href="https://give.khu.ac.kr/" target="_blank">발전기금</a>
</li>
<li>
<a href="https://mail.khu.ac.kr/" target="_blank">웹메일</a>
</li>
<li>
<a href="https://info21.khu.ac.kr/com/LoginCtr/login.do?sso=ok" target="_blank">인포21</a>
</li>
<li>
<a href="https://k-recruit.khu.ac.kr/hjis2/" target="_blank">채용시스템</a>
</li>
<li>
<a href="https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2134768" target="_blank">코로나19</a>
</li>
<!--
<li>
<a href="http://nominate.khu.ac.kr/" target="_blank" >총장후보추천위원회</a>
</li>
<li>
<a href="http://ombuds.khu.ac.kr/html_2013/02/01.php" target="_blank">통합민원</a>
</li>
-->
</ul>
<ul class="util clearfix">
<li>
<a href="https://www.khu.ac.kr/eng/main/index.do">English</a>
</li>
<li>
<a href="/kor/info/sitemap.do">Sitemap</a>
</li>
<li>
<a class="btnLogin" href="/kor/info/login.do">Login</a>
</li>
</ul>
</div>
</div>
</header>,
<div class="mobileTopW">
<div class="container clearfix">
<h1 class="logo">
<a href="/kor/main/index.do"><img alt="경희대학교" class="pc" src="/kor/resources/user/img/pc/common/logo.png"/><img alt="경희대학교" class="mobile" src="/kor/resources/user/img/mobile/common/logo.jpg"/></a><!--20181217 태그 수정-->
</h1>
<div class="search">
<!-- 20181217 추가 -->
<label class="hidden" for="searchInput01">Search Site and People</label>
<input class="inputSearch" id="searchInput01" onkeydown="search(this);" placeholder="Search Site & People" type="search"/><!-- 20181217 id 추가 -->
<button class="btnSearch">search</button><!-- 20181217 href 삭제 -->
</div>
<form action="/kor/info/search.do" name="sf">
<input name="cx" type="hidden" value="011072588127852259059:7bgph6ztzyg"/>
<input name="cof" type="hidden" value="FORID:10"/>
<input name="ie" type="hidden" value="UTF-8"/>
<input name="m" type="hidden" value="11372"/>
<input class="searchTxt" id="sch-keyword" name="q" type="hidden" value=""/>
</form>
<button class="btnMenuM">
<span></span>
<span></span>
<span></span>
</button>
</div>
</div>,
<div class="container clearfix">
<h1 class="logo">
<a href="/kor/main/index.do"><img alt="경희대학교" class="pc" src="/kor/resources/user/img/pc/common/logo.png"/><img alt="경희대학교" class="mobile" src="/kor/resources/user/img/mobile/common/logo.jpg"/></a><!--20181217 태그 수정-->
</h1>
<div class="search">
<!-- 20181217 추가 -->
<label class="hidden" for="searchInput01">Search Site and People</label>
<input class="inputSearch" id="searchInput01" onkeydown="search(this);" placeholder="Search Site & People" type="search"/><!-- 20181217 id 추가 -->
<button class="btnSearch">search</button><!-- 20181217 href 삭제 -->
</div>
<form action="/kor/info/search.do" name="sf">
<input name="cx" type="hidden" value="011072588127852259059:7bgph6ztzyg"/>
<input name="cof" type="hidden" value="FORID:10"/>
<input name="ie" type="hidden" value="UTF-8"/>
<input name="m" type="hidden" value="11372"/>
<input class="searchTxt" id="sch-keyword" name="q" type="hidden" value=""/>
</form>
<button class="btnMenuM">
<span></span>
<span></span>
<span></span>
</button>
</div>,
<h1 class="logo">
<a href="/kor/main/index.do"><img alt="경희대학교" class="pc" src="/kor/resources/user/img/pc/common/logo.png"/><img alt="경희대학교" class="mobile" src="/kor/resources/user/img/mobile/common/logo.jpg"/></a><!--20181217 태그 수정-->
</h1>,
<a href="/kor/main/index.do"><img alt="경희대학교" class="pc" src="/kor/resources/user/img/pc/common/logo.png"/><img alt="경희대학교" class="mobile" src="/kor/resources/user/img/mobile/common/logo.jpg"/></a>,
<img alt="경희대학교" class="pc" src="/kor/resources/user/img/pc/common/logo.png"/>,
<img alt="경희대학교" class="mobile" src="/kor/resources/user/img/mobile/common/logo.jpg"/>,
<div class="search">
<!-- 20181217 추가 -->
<label class="hidden" for="searchInput01">Search Site and People</label>
<input class="inputSearch" id="searchInput01" onkeydown="search(this);" placeholder="Search Site & People" type="search"/><!-- 20181217 id 추가 -->
<button class="btnSearch">search</button><!-- 20181217 href 삭제 -->
</div>,
<label class="hidden" for="searchInput01">Search Site and People</label>,
<input class="inputSearch" id="searchInput01" onkeydown="search(this);" placeholder="Search Site & People" type="search"/>,
<button class="btnSearch">search</button>,
<form action="/kor/info/search.do" name="sf">
<input name="cx" type="hidden" value="011072588127852259059:7bgph6ztzyg"/>
<input name="cof" type="hidden" value="FORID:10"/>
<input name="ie" type="hidden" value="UTF-8"/>
<input name="m" type="hidden" value="11372"/>
<input class="searchTxt" id="sch-keyword" name="q" type="hidden" value=""/>
</form>,
<input name="cx" type="hidden" value="011072588127852259059:7bgph6ztzyg"/>,
<input name="cof" type="hidden" value="FORID:10"/>,
<input name="ie" type="hidden" value="UTF-8"/>,
<input name="m" type="hidden" value="11372"/>,
<input class="searchTxt" id="sch-keyword" name="q" type="hidden" value=""/>,
<button class="btnMenuM">
<span></span>
<span></span>
<span></span>
</button>,
<span></span>,
<span></span>,
<span></span>,
<div class="mobileMenuW">
<nav class="gnbW">
<div class="container clearfix">
<ul class="gnb clearfix">
<li>
<a href="javascript:void(0);" id="GNB01" onclick="goFirstLink(this);">대학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>
</ul>
</li>
<li>
<a href="/kor/prsd/index.do" target="_self">총장실</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>
<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>
<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>
<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>
<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>
<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>
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<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>
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<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>
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<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>
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<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>
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<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>
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<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>
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<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>
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<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>
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<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>
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<a href="/kor/edu/list.do" target="_self">교원검색</a>
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<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>
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<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>
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<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>
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<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>
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<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>
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<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>
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<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>
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<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>
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<ul class="depth3">
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<li><a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a></li>
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<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">행사</a>
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<li><a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a></li>
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<div class="depth2">
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<a href="/kor/sub/tab.do?MENU_SEQ=527" target="_self">학생지원</a>
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<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a></li>
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<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">도서관/박물관</a>
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<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>
</ul>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB02" onclick="goFirstLink(this);">입학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>
</ul>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB03" onclick="goFirstLink(this);">교육</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>
</li>
<li>
<a href="/kor/edu/list.do" target="_self">교원검색</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>
</ul>
</li>
</ul>
</div>
</li>
</ul>
<ul class="gnb gnbRight clearfix">
<li>
<a href="javascript:void(0);" id="GNB04" onclick="goFirstLink(this);">연구/산학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB05" onclick="goFirstLink(this);">교류/실천</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=449" target="_self">국제 교류</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">행사</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=472" target="_self">입학식</a></li>
</ul>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB06" onclick="goFirstLink(this);">대학생활</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=527" target="_self">학생지원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=538" target="_self">동아리</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=543" target="_self">네오르네상스장학</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">도서관/박물관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">중앙도서관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=548" target="_self">중앙박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=549" target="_self">자연사박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=551" target="_self">혜정박물관</a></li>
<li><a href="/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">경희 역사 갤러리</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=555" target="_self">정보서비스</a>
</li>
<li>
<a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">커뮤니티</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">공지사항</a></li>
<li><a href="/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1" target="_self">커뮤니케이션 21</a></li>
<li><a href="/kor/forum/list.do?type=TUITION&category=NOTICE&page=1" target="_self">경희포럼</a></li>
<li><a href="/kor/wine/form.do" target="_self">경희와인</a></li>
<li><a href="/kor/vote/form.do" target="_self">경희 Survey</a></li>
<li><a href="/kor/competitionName/form.do" target="_self">경희 공모전</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=564" target="_self">경희미디어</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/focus/list.do?page=1&pageSize=5" target="_self">Focus</a></li>
<li><a href="/kor/highlight/list.do?page=1&pageSize=5" target="_self">Highlight</a></li>
<li><a href="/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">카드뉴스</a></li>
<li><a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_self">경희뉴스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=574" target="_self">교내언론</a></li>
<li><a href="/kor/video/list.do" target="_self">영상</a></li>
<li><a href="/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">포토갤러리</a></li>
</ul>
</li>
</ul>
</div>
</li>
</ul>
</div>
<div class="bgDepth2">
<div class="decoGnb">
<img alt="" src="/kor/resources/user/img/pc/common/decoGnb.png"/>
</div>
</div>
</nav>,
<div class="container clearfix">
<ul class="gnb clearfix">
<li>
<a href="javascript:void(0);" id="GNB01" onclick="goFirstLink(this);">대학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>
</ul>
</li>
<li>
<a href="/kor/prsd/index.do" target="_self">총장실</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>
<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>
<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>
<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>
<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>
<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>
</ul>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB02" onclick="goFirstLink(this);">입학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>
</ul>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB03" onclick="goFirstLink(this);">교육</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>
</li>
<li>
<a href="/kor/edu/list.do" target="_self">교원검색</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>
</ul>
</li>
</ul>
</div>
</li>
</ul>
<ul class="gnb gnbRight clearfix">
<li>
<a href="javascript:void(0);" id="GNB04" onclick="goFirstLink(this);">연구/산학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB05" onclick="goFirstLink(this);">교류/실천</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=449" target="_self">국제 교류</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">행사</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=472" target="_self">입학식</a></li>
</ul>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB06" onclick="goFirstLink(this);">대학생활</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=527" target="_self">학생지원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=538" target="_self">동아리</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=543" target="_self">네오르네상스장학</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">도서관/박물관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">중앙도서관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=548" target="_self">중앙박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=549" target="_self">자연사박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=551" target="_self">혜정박물관</a></li>
<li><a href="/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">경희 역사 갤러리</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=555" target="_self">정보서비스</a>
</li>
<li>
<a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">커뮤니티</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">공지사항</a></li>
<li><a href="/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1" target="_self">커뮤니케이션 21</a></li>
<li><a href="/kor/forum/list.do?type=TUITION&category=NOTICE&page=1" target="_self">경희포럼</a></li>
<li><a href="/kor/wine/form.do" target="_self">경희와인</a></li>
<li><a href="/kor/vote/form.do" target="_self">경희 Survey</a></li>
<li><a href="/kor/competitionName/form.do" target="_self">경희 공모전</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=564" target="_self">경희미디어</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/focus/list.do?page=1&pageSize=5" target="_self">Focus</a></li>
<li><a href="/kor/highlight/list.do?page=1&pageSize=5" target="_self">Highlight</a></li>
<li><a href="/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">카드뉴스</a></li>
<li><a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_self">경희뉴스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=574" target="_self">교내언론</a></li>
<li><a href="/kor/video/list.do" target="_self">영상</a></li>
<li><a href="/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">포토갤러리</a></li>
</ul>
</li>
</ul>
</div>
</li>
</ul>
</div>,
<ul class="gnb clearfix">
<li>
<a href="javascript:void(0);" id="GNB01" onclick="goFirstLink(this);">대학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>
</ul>
</li>
<li>
<a href="/kor/prsd/index.do" target="_self">총장실</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>
<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>
<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>
<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>
<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>
<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>
</ul>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB02" onclick="goFirstLink(this);">입학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>
</ul>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB03" onclick="goFirstLink(this);">교육</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>
</li>
<li>
<a href="/kor/edu/list.do" target="_self">교원검색</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>
</ul>
</li>
</ul>
</div>
</li>
</ul>,
<li>
<a href="javascript:void(0);" id="GNB01" onclick="goFirstLink(this);">대학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>
</ul>
</li>
<li>
<a href="/kor/prsd/index.do" target="_self">총장실</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>
<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>
<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>
<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>
<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>
<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>
</ul>
</li>
</ul>
</div>
</li>,
<a href="javascript:void(0);" id="GNB01" onclick="goFirstLink(this);">대학</a>,
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>
</ul>
</li>
<li>
<a href="/kor/prsd/index.do" target="_self">총장실</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>
<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>
<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>
<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>
<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>
<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>
</ul>
</li>
</ul>
</div>,
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>
</ul>
</li>
<li>
<a href="/kor/prsd/index.do" target="_self">총장실</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>
<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>
<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>
<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>
<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>
<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>
</ul>
</li>
</ul>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>
</ul>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>
</ul>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a>,
<li>
<a href="/kor/prsd/index.do" target="_self">총장실</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>
<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>
<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>
<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>
<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>
<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>
</ul>
</li>,
<a href="/kor/prsd/index.do" target="_self">총장실</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>
<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>
<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>
<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>
<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>
<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>
</ul>,
<li><a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a>,
<li><a href="/kor/speeches/list.do?page=1" target="_self">연설</a></li>,
<a href="/kor/speeches/list.do?page=1" target="_self">연설</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a>,
<li><a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a></li>,
<a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a>,
<li><a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a></li>,
<a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a>,
<li><a href="/kor/situation/list.do?page=1" target="_self">동정</a></li>,
<a href="/kor/situation/list.do?page=1" target="_self">동정</a>,
<li><a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a></li>,
<a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a>,
<li><a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a></li>,
<a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>
</ul>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>
</ul>,
<li><a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>
</ul>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>
<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>
</ul>,
<li><a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a>,
<li><a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a></li>,
<a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a>,
<li><a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a></li>,
<a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a>,
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>
</ul>
</li>,
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>
</ul>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a>,
<li>
<a href="javascript:void(0);" id="GNB02" onclick="goFirstLink(this);">입학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>
</ul>
</li>
</ul>
</div>
</li>,
<a href="javascript:void(0);" id="GNB02" onclick="goFirstLink(this);">입학</a>,
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>
</ul>
</li>
</ul>
</div>,
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>
</ul>
</li>
</ul>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>,
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>
</ul>
</li>,
<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>
</ul>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>
</ul>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>
</ul>,
<li><a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a>,
<li>
<a href="javascript:void(0);" id="GNB03" onclick="goFirstLink(this);">교육</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>
</li>
<li>
<a href="/kor/edu/list.do" target="_self">교원검색</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>
</ul>
</li>
</ul>
</div>
</li>,
<a href="javascript:void(0);" id="GNB03" onclick="goFirstLink(this);">교육</a>,
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>
</li>
<li>
<a href="/kor/edu/list.do" target="_self">교원검색</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>
</ul>
</li>
</ul>
</div>,
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>
</li>
<li>
<a href="/kor/edu/list.do" target="_self">교원검색</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>
</ul>
</li>
</ul>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>,
<li>
<a href="/kor/edu/list.do" target="_self">교원검색</a>
</li>,
<a href="/kor/edu/list.do" target="_self">교원검색</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>
</ul>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>
</ul>,
<li><a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a>,
<ul class="gnb gnbRight clearfix">
<li>
<a href="javascript:void(0);" id="GNB04" onclick="goFirstLink(this);">연구/산학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB05" onclick="goFirstLink(this);">교류/실천</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=449" target="_self">국제 교류</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">행사</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=472" target="_self">입학식</a></li>
</ul>
</li>
</ul>
</div>
</li>
<li>
<a href="javascript:void(0);" id="GNB06" onclick="goFirstLink(this);">대학생활</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=527" target="_self">학생지원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=538" target="_self">동아리</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=543" target="_self">네오르네상스장학</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">도서관/박물관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">중앙도서관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=548" target="_self">중앙박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=549" target="_self">자연사박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=551" target="_self">혜정박물관</a></li>
<li><a href="/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">경희 역사 갤러리</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=555" target="_self">정보서비스</a>
</li>
<li>
<a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">커뮤니티</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">공지사항</a></li>
<li><a href="/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1" target="_self">커뮤니케이션 21</a></li>
<li><a href="/kor/forum/list.do?type=TUITION&category=NOTICE&page=1" target="_self">경희포럼</a></li>
<li><a href="/kor/wine/form.do" target="_self">경희와인</a></li>
<li><a href="/kor/vote/form.do" target="_self">경희 Survey</a></li>
<li><a href="/kor/competitionName/form.do" target="_self">경희 공모전</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=564" target="_self">경희미디어</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/focus/list.do?page=1&pageSize=5" target="_self">Focus</a></li>
<li><a href="/kor/highlight/list.do?page=1&pageSize=5" target="_self">Highlight</a></li>
<li><a href="/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">카드뉴스</a></li>
<li><a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_self">경희뉴스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=574" target="_self">교내언론</a></li>
<li><a href="/kor/video/list.do" target="_self">영상</a></li>
<li><a href="/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">포토갤러리</a></li>
</ul>
</li>
</ul>
</div>
</li>
</ul>,
<li>
<a href="javascript:void(0);" id="GNB04" onclick="goFirstLink(this);">연구/산학</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>
</li>
</ul>
</div>
</li>,
<a href="javascript:void(0);" id="GNB04" onclick="goFirstLink(this);">연구/산학</a>,
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>
</li>
</ul>
</div>,
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>
</li>
</ul>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>,
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>
</ul>
</li>,
<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>
</ul>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a>,
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>
</ul>
</li>,
<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>
</ul>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a>,
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>
</ul>
</li>,
<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>
</ul>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>
</ul>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>
</ul>,
<li><a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>,
<li>
<a href="javascript:void(0);" id="GNB05" onclick="goFirstLink(this);">교류/실천</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=449" target="_self">국제 교류</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">행사</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=472" target="_self">입학식</a></li>
</ul>
</li>
</ul>
</div>
</li>,
<a href="javascript:void(0);" id="GNB05" onclick="goFirstLink(this);">교류/실천</a>,
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=449" target="_self">국제 교류</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">행사</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=472" target="_self">입학식</a></li>
</ul>
</li>
</ul>
</div>,
<ul>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=449" target="_self">국제 교류</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">행사</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=472" target="_self">입학식</a></li>
</ul>
</li>
</ul>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>
</ul>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>
</ul>,
<li><a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>
</ul>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>
</ul>,
<li><a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=449" target="_self">국제 교류</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a></li>
</ul>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=449" target="_self">국제 교류</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a></li>
</ul>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a></li>
</ul>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a></li>
</ul>,
<li><a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a>,
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">행사</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=472" target="_self">입학식</a></li>
</ul>
</li>,
<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">행사</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=472" target="_self">입학식</a></li>
</ul>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=472" target="_self">입학식</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=472" target="_self">입학식</a>,
<li>
<a href="javascript:void(0);" id="GNB06" onclick="goFirstLink(this);">대학생활</a>
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=527" target="_self">학생지원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=538" target="_self">동아리</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=543" target="_self">네오르네상스장학</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">도서관/박물관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">중앙도서관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=548" target="_self">중앙박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=549" target="_self">자연사박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=551" target="_self">혜정박물관</a></li>
<li><a href="/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">경희 역사 갤러리</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=555" target="_self">정보서비스</a>
</li>
<li>
<a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">커뮤니티</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">공지사항</a></li>
<li><a href="/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1" target="_self">커뮤니케이션 21</a></li>
<li><a href="/kor/forum/list.do?type=TUITION&category=NOTICE&page=1" target="_self">경희포럼</a></li>
<li><a href="/kor/wine/form.do" target="_self">경희와인</a></li>
<li><a href="/kor/vote/form.do" target="_self">경희 Survey</a></li>
<li><a href="/kor/competitionName/form.do" target="_self">경희 공모전</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=564" target="_self">경희미디어</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/focus/list.do?page=1&pageSize=5" target="_self">Focus</a></li>
<li><a href="/kor/highlight/list.do?page=1&pageSize=5" target="_self">Highlight</a></li>
<li><a href="/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">카드뉴스</a></li>
<li><a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_self">경희뉴스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=574" target="_self">교내언론</a></li>
<li><a href="/kor/video/list.do" target="_self">영상</a></li>
<li><a href="/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">포토갤러리</a></li>
</ul>
</li>
</ul>
</div>
</li>,
<a href="javascript:void(0);" id="GNB06" onclick="goFirstLink(this);">대학생활</a>,
<div class="depth2">
<ul>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=527" target="_self">학생지원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=538" target="_self">동아리</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=543" target="_self">네오르네상스장학</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">도서관/박물관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">중앙도서관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=548" target="_self">중앙박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=549" target="_self">자연사박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=551" target="_self">혜정박물관</a></li>
<li><a href="/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">경희 역사 갤러리</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=555" target="_self">정보서비스</a>
</li>
<li>
<a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">커뮤니티</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">공지사항</a></li>
<li><a href="/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1" target="_self">커뮤니케이션 21</a></li>
<li><a href="/kor/forum/list.do?type=TUITION&category=NOTICE&page=1" target="_self">경희포럼</a></li>
<li><a href="/kor/wine/form.do" target="_self">경희와인</a></li>
<li><a href="/kor/vote/form.do" target="_self">경희 Survey</a></li>
<li><a href="/kor/competitionName/form.do" target="_self">경희 공모전</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=564" target="_self">경희미디어</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/focus/list.do?page=1&pageSize=5" target="_self">Focus</a></li>
<li><a href="/kor/highlight/list.do?page=1&pageSize=5" target="_self">Highlight</a></li>
<li><a href="/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">카드뉴스</a></li>
<li><a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_self">경희뉴스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=574" target="_self">교내언론</a></li>
<li><a href="/kor/video/list.do" target="_self">영상</a></li>
<li><a href="/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">포토갤러리</a></li>
</ul>
</li>
</ul>
</div>,
<ul>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=527" target="_self">학생지원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=538" target="_self">동아리</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=543" target="_self">네오르네상스장학</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">도서관/박물관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">중앙도서관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=548" target="_self">중앙박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=549" target="_self">자연사박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=551" target="_self">혜정박물관</a></li>
<li><a href="/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">경희 역사 갤러리</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=555" target="_self">정보서비스</a>
</li>
<li>
<a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">커뮤니티</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">공지사항</a></li>
<li><a href="/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1" target="_self">커뮤니케이션 21</a></li>
<li><a href="/kor/forum/list.do?type=TUITION&category=NOTICE&page=1" target="_self">경희포럼</a></li>
<li><a href="/kor/wine/form.do" target="_self">경희와인</a></li>
<li><a href="/kor/vote/form.do" target="_self">경희 Survey</a></li>
<li><a href="/kor/competitionName/form.do" target="_self">경희 공모전</a></li>
</ul>
</li>
<li>
<a href="/kor/sub/content.do?MENU_SEQ=564" target="_self">경희미디어</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/focus/list.do?page=1&pageSize=5" target="_self">Focus</a></li>
<li><a href="/kor/highlight/list.do?page=1&pageSize=5" target="_self">Highlight</a></li>
<li><a href="/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">카드뉴스</a></li>
<li><a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_self">경희뉴스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=574" target="_self">교내언론</a></li>
<li><a href="/kor/video/list.do" target="_self">영상</a></li>
<li><a href="/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">포토갤러리</a></li>
</ul>
</li>
</ul>,
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=527" target="_self">학생지원</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=538" target="_self">동아리</a></li>
</ul>
</li>,
<a href="/kor/sub/tab.do?MENU_SEQ=527" target="_self">학생지원</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a></li>
<li><a href="/kor/sub/tab.do?MENU_SEQ=538" target="_self">동아리</a></li>
</ul>,
<li><a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=538" target="_self">동아리</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=538" target="_self">동아리</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=543" target="_self">네오르네상스장학</a></li>
</ul>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=543" target="_self">네오르네상스장학</a></li>
</ul>,
<li><a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=543" target="_self">네오르네상스장학</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=543" target="_self">네오르네상스장학</a>,
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">도서관/박물관</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">중앙도서관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=548" target="_self">중앙박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=549" target="_self">자연사박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=551" target="_self">혜정박물관</a></li>
<li><a href="/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">경희 역사 갤러리</a></li>
</ul>
</li>,
<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">도서관/박물관</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">중앙도서관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=548" target="_self">중앙박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=549" target="_self">자연사박물관</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=551" target="_self">혜정박물관</a></li>
<li><a href="/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">경희 역사 갤러리</a></li>
</ul>,
<li><a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">중앙도서관</a></li>,
<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">중앙도서관</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=548" target="_self">중앙박물관</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=548" target="_self">중앙박물관</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=549" target="_self">자연사박물관</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=549" target="_self">자연사박물관</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=551" target="_self">혜정박물관</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=551" target="_self">혜정박물관</a>,
<li><a href="/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">경희 역사 갤러리</a></li>,
<a href="/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">경희 역사 갤러리</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=555" target="_self">정보서비스</a>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=555" target="_self">정보서비스</a>,
<li>
<a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">커뮤니티</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">공지사항</a></li>
<li><a href="/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1" target="_self">커뮤니케이션 21</a></li>
<li><a href="/kor/forum/list.do?type=TUITION&category=NOTICE&page=1" target="_self">경희포럼</a></li>
<li><a href="/kor/wine/form.do" target="_self">경희와인</a></li>
<li><a href="/kor/vote/form.do" target="_self">경희 Survey</a></li>
<li><a href="/kor/competitionName/form.do" target="_self">경희 공모전</a></li>
</ul>
</li>,
<a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">커뮤니티</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">공지사항</a></li>
<li><a href="/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1" target="_self">커뮤니케이션 21</a></li>
<li><a href="/kor/forum/list.do?type=TUITION&category=NOTICE&page=1" target="_self">경희포럼</a></li>
<li><a href="/kor/wine/form.do" target="_self">경희와인</a></li>
<li><a href="/kor/vote/form.do" target="_self">경희 Survey</a></li>
<li><a href="/kor/competitionName/form.do" target="_self">경희 공모전</a></li>
</ul>,
<li><a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">공지사항</a></li>,
<a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">공지사항</a>,
<li><a href="/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1" target="_self">커뮤니케이션 21</a></li>,
<a href="/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1" target="_self">커뮤니케이션 21</a>,
<li><a href="/kor/forum/list.do?type=TUITION&category=NOTICE&page=1" target="_self">경희포럼</a></li>,
<a href="/kor/forum/list.do?type=TUITION&category=NOTICE&page=1" target="_self">경희포럼</a>,
<li><a href="/kor/wine/form.do" target="_self">경희와인</a></li>,
<a href="/kor/wine/form.do" target="_self">경희와인</a>,
<li><a href="/kor/vote/form.do" target="_self">경희 Survey</a></li>,
<a href="/kor/vote/form.do" target="_self">경희 Survey</a>,
<li><a href="/kor/competitionName/form.do" target="_self">경희 공모전</a></li>,
<a href="/kor/competitionName/form.do" target="_self">경희 공모전</a>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=564" target="_self">경희미디어</a>
<button class="btnDepth2"></button>
<ul class="depth3">
<li><a href="/kor/focus/list.do?page=1&pageSize=5" target="_self">Focus</a></li>
<li><a href="/kor/highlight/list.do?page=1&pageSize=5" target="_self">Highlight</a></li>
<li><a href="/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">카드뉴스</a></li>
<li><a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_self">경희뉴스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=574" target="_self">교내언론</a></li>
<li><a href="/kor/video/list.do" target="_self">영상</a></li>
<li><a href="/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">포토갤러리</a></li>
</ul>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=564" target="_self">경희미디어</a>,
<button class="btnDepth2"></button>,
<ul class="depth3">
<li><a href="/kor/focus/list.do?page=1&pageSize=5" target="_self">Focus</a></li>
<li><a href="/kor/highlight/list.do?page=1&pageSize=5" target="_self">Highlight</a></li>
<li><a href="/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">카드뉴스</a></li>
<li><a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_self">경희뉴스</a></li>
<li><a href="/kor/sub/content.do?MENU_SEQ=574" target="_self">교내언론</a></li>
<li><a href="/kor/video/list.do" target="_self">영상</a></li>
<li><a href="/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">포토갤러리</a></li>
</ul>,
<li><a href="/kor/focus/list.do?page=1&pageSize=5" target="_self">Focus</a></li>,
<a href="/kor/focus/list.do?page=1&pageSize=5" target="_self">Focus</a>,
<li><a href="/kor/highlight/list.do?page=1&pageSize=5" target="_self">Highlight</a></li>,
<a href="/kor/highlight/list.do?page=1&pageSize=5" target="_self">Highlight</a>,
<li><a href="/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">카드뉴스</a></li>,
<a href="/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">카드뉴스</a>,
<li><a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_self">경희뉴스</a></li>,
<a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_self">경희뉴스</a>,
<li><a href="/kor/sub/content.do?MENU_SEQ=574" target="_self">교내언론</a></li>,
<a href="/kor/sub/content.do?MENU_SEQ=574" target="_self">교내언론</a>,
<li><a href="/kor/video/list.do" target="_self">영상</a></li>,
<a href="/kor/video/list.do" target="_self">영상</a>,
<li><a href="/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">포토갤러리</a></li>,
<a href="/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">포토갤러리</a>,
<div class="bgDepth2">
<div class="decoGnb">
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<div class="decoGnb">
<img alt="" src="/kor/resources/user/img/pc/common/decoGnb.png"/>
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<img alt="" src="/kor/resources/user/img/pc/common/decoGnb.png"/>,
<div class="utilW container">
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<li>
<a href="https://www.khu.ac.kr/kor/prsdInquiry/list.do?page=1" target="_blank">열린총장실</a>
</li>
<li>
<a href="https://give.khu.ac.kr/" target="_blank">발전기금</a>
</li>
<li>
<a href="https://mail.khu.ac.kr/" target="_blank">웹메일</a>
</li>
<li>
<a href="https://info21.khu.ac.kr/com/LoginCtr/login.do?sso=ok" target="_blank">인포21</a>
</li>
<li>
<a href="https://k-recruit.khu.ac.kr/hjis2/" target="_blank">채용시스템</a>
</li>
<li>
<a href="https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2134768" target="_blank">코로나19</a>
</li>
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<a href="http://ombuds.khu.ac.kr/html_2013/02/01.php" target="_blank">통합민원</a>
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<ul class="util clearfix">
<li>
<a href="https://www.khu.ac.kr/eng/main/index.do">English</a>
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</li>
<li>
<a class="btnLogin" href="/kor/info/login.do">Login</a>
</li>
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</div>,
<ul class="subMenu clearfix">
<li>
<a href="https://www.khu.ac.kr/kor/prsdInquiry/list.do?page=1" target="_blank">열린총장실</a>
</li>
<li>
<a href="https://give.khu.ac.kr/" target="_blank">발전기금</a>
</li>
<li>
<a href="https://mail.khu.ac.kr/" target="_blank">웹메일</a>
</li>
<li>
<a href="https://info21.khu.ac.kr/com/LoginCtr/login.do?sso=ok" target="_blank">인포21</a>
</li>
<li>
<a href="https://k-recruit.khu.ac.kr/hjis2/" target="_blank">채용시스템</a>
</li>
<li>
<a href="https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2134768" target="_blank">코로나19</a>
</li>
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<a href="http://ombuds.khu.ac.kr/html_2013/02/01.php" target="_blank">통합민원</a>
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<li>
<a href="https://www.khu.ac.kr/kor/prsdInquiry/list.do?page=1" target="_blank">열린총장실</a>
</li>,
<a href="https://www.khu.ac.kr/kor/prsdInquiry/list.do?page=1" target="_blank">열린총장실</a>,
<li>
<a href="https://give.khu.ac.kr/" target="_blank">발전기금</a>
</li>,
<a href="https://give.khu.ac.kr/" target="_blank">발전기금</a>,
<li>
<a href="https://mail.khu.ac.kr/" target="_blank">웹메일</a>
</li>,
<a href="https://mail.khu.ac.kr/" target="_blank">웹메일</a>,
<li>
<a href="https://info21.khu.ac.kr/com/LoginCtr/login.do?sso=ok" target="_blank">인포21</a>
</li>,
<a href="https://info21.khu.ac.kr/com/LoginCtr/login.do?sso=ok" target="_blank">인포21</a>,
<li>
<a href="https://k-recruit.khu.ac.kr/hjis2/" target="_blank">채용시스템</a>
</li>,
<a href="https://k-recruit.khu.ac.kr/hjis2/" target="_blank">채용시스템</a>,
<li>
<a href="https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2134768" target="_blank">코로나19</a>
</li>,
<a href="https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2134768" target="_blank">코로나19</a>,
<ul class="util clearfix">
<li>
<a href="https://www.khu.ac.kr/eng/main/index.do">English</a>
</li>
<li>
<a href="/kor/info/sitemap.do">Sitemap</a>
</li>
<li>
<a class="btnLogin" href="/kor/info/login.do">Login</a>
</li>
</ul>,
<li>
<a href="https://www.khu.ac.kr/eng/main/index.do">English</a>
</li>,
<a href="https://www.khu.ac.kr/eng/main/index.do">English</a>,
<li>
<a href="/kor/info/sitemap.do">Sitemap</a>
</li>,
<a href="/kor/info/sitemap.do">Sitemap</a>,
<li>
<a class="btnLogin" href="/kor/info/login.do">Login</a>
</li>,
<a class="btnLogin" href="/kor/info/login.do">Login</a>,
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<strong class="slideTit" style="color:#ffffff">인생의 한 페이지이자, 삶의 터전 경희를 떠나며</strong>
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<strong class="slideTit" style="color:#ffffff">환자 돕는 기술 개발 의욕으로 챗봇 개발한 한의 군의관</strong>
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<strong>코로나 시대, 슬기로운 대학 생...</strong>
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9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>
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<strong>금 나노 입자 활용한 표면 버블...</strong>
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전자공학과 이응규 교수가 금 나노 입자를 활용해 표면 버블을 만드는 원리를 규명했다. 이번 연구는 나노 분야 세계적인 ...</p>
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HK+통합의료인문학연구단이 영국 옥스퍼드대학교 마크 해리슨 교수와 국제 공동연구 프로젝트를 진행한다. 이번 연구는 해리...</p>
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<span class="date">2021.06.30</span>
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<span class="date">2021.09.23</span>
경희 글쓰기 클리닉 프로그램 신청 안내 ‘코로나 19’의 전세계적인 확산으로 사회적...
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<strong class="titW">[추천채용] ㈜피씨디렉트 신입사원 채용</strong>
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<span class="date">2021.09.23</span>
㈜피씨디렉트 신입사원을 모집할 예정이며, 본교로 추천의뢰가 들어왔습니다. 이에 관심 있는...
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<strong class="titW">[국제교류팀] 경희대학교 학생을 위한 공식 ...</strong>
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<span class="date">2021.09.23</span>
ETS에서 경희대학교 학생을 위한 공식 GRE 설명회를 개최합니다.해외 대학원 및 경영대학...
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<span class="date">2021.09.17</span>
&lt; 2021년도 (재)원장재단 장학생 선발 공고 &gt;(재)원장재단은 서울시 소재 ...
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<strong class="titW">[한방재료가공 학교기업] 2021-2학기 국...</strong>
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한방재료가공 학교기업에서 2021학년도 2학기 국가근로학생을 모집합니다. 1. 모집인원 :...
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<strong class="titW">2021학년도 2학기 본전공(1전공) 선택 ...</strong>
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<strong class="titW">2021학년도 2학기 다전공/트랙이수 신청 ...</strong>
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2021학년도 2학기 최종 등록 기간 안내 (재학생 및 복학생)1. 등록금 납부 기간 : ...
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<strong class="titW">Peace BAR Festival 2021(...</strong>
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<span class="date">2021.09.16</span>
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<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371231281.png"/></div>
<span>교내전화번호</span>
</a>
</li>
<li>
<a href="http://media.khu.ac.kr/khunews/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371253334.png"/></div>
<span>대학주보</span>
</a>
</li>
<li>
<a href="http://iphak.khu.ac.kr/intro.do" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371277917.png"/></div>
<span>입학처</span>
</a>
</li>
<li>
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371300338.png"/></div>
<span>중앙박물관</span>
</a>
</li>
<li>
<a href="http://khupress.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371320459.png"/></div>
<span>출판문화원</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371348101.png"/></div>
<span>캠퍼스안내</span>
</a>
</li>
</ul>
</div>
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222622456.png"/></div>
<span>GIVE경희</span>
</a>
</li>
<li>
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371416234.png"/></div>
<span>중앙박물관</span>
</a>
</li>
<li>
<a href="http://nhm.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371441890.png"/></div>
<span>자연사박물관</span>
</a>
</li>
<li>
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371497131.png"/></div>
<span>평생교육원</span>
</a>
</li>
<li>
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371526836.png"/></div>
<span>글로벌미래교육원</span>
</a>
</li>
<li>
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371550067.png"/></div>
<span>국제교육원</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371574258.png"/></div>
<span>교내전화번호</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371600431.png"/></div>
<span>캠퍼스안내</span>
</a>
</li>
</ul>
</div>
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222636928.png"/></div>
<span>GIVE경희</span>
</a>
</li>
<li>
<a href="http://oiak.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371666149.png"/></div>
<span>국제교류처</span>
</a>
</li>
<li>
<a href="http://www.khua.or.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371688920.png"/></div>
<span>총동문회</span>
</a>
</li>
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371713863.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>
<li>
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371737293.png"/></div>
<span>평생교육원/언어교육원</span>
</a>
</li>
<li>
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371761092.png"/></div>
<span>글로벌미래교육원</span>
</a>
</li>
<li>
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371785633.png"/></div>
<span>국제교육원</span>
</a>
</li>
<li>
<a href="http://clean.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371807725.png"/></div>
<span>부정청탁신고센터</span>
</a>
</li>
</ul>
</div>
</div>
</div>
</section>
<section class="mainSec08">
<div class="container">
<p class="titW">
<strong>새로운 미래를 여는 경희대학교</strong>
지금 온라인에서 경험해 보세요.
</p>
<a class="btn10" href="http://iphak.khu.ac.kr/PageLink.do?menuNo=10720301&link=/PageLink.do?link=psnt/CampusTourInfo
" target="_blank" title="새 창 열기">투어신청하기</a>
<a class="videoLink fontMer" href="http://www.khu.ac.kr/kor/video/list.do?category=VIDEO_GALLERY_02&subCategory=VG_02_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC " target="_blank">
<img alt="" src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png"/>
<span>Experience Kyung Hee</span>
</a>
</div>
</section>
</main>
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<li class="slide01" style="background-image: url(/kor/upload/catalog/catalog_file_1631837907936.jpg);">
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152897&page=1&pageSize=5" target="_blank">
<strong class="slideTit" style="color:#ffffff"> </strong>
<p class="slideTxt" style="color:#ffffff"> </p>
</a>
</li>
<li class="slide02" style="background-image: url(/kor/upload/catalog/catalog_file_1631148167743.jpg);">
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152297" target="_blank">
<strong class="slideTit" style="color:#ffffff">인생의 한 페이지이자, 삶의 터전 경희를 떠나며</strong>
<p class="slideTxt" style="color:#ffffff">교원 정년퇴임식, 교수님의 노고에 감사드립니다</p>
</a>
</li>
<li class="slide03" style="background-image: url(/kor/upload/catalog/catalog_file_1605247095082.jpg);">
<a class="fadeInDown" href="http://card.cakecomms.com/kyunghee_cheerforjuniors2020_2/card" target="_blank">
<strong class="slideTit" style="color:#ffffff"> </strong>
<p class="slideTxt" style="color:#ffffff">▶ 카드뉴스 바로가기 </p>
</a>
</li>
<li class="slide04" style="background-image: url(/kor/upload/catalog/catalog_file_1631154596666.jpg);">
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152427&page=1" target="_blank">
<strong class="slideTit" style="color:#ffffff">양자 정보로 찾아낸 최적의 투자 포트폴리오</strong>
<p class="slideTxt" style="color:#ffffff">강누리·이건호·조우현 학생, ‘2021 양자정보경진대회’ 우수상 수상
</p>
</a>
</li>
<li class="slide05" style="background-image: url(/kor/upload/catalog/catalog_file_1631146412390.jpg);">
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152133&page=1" target="_self">
<strong class="slideTit" style="color:#ffffff">환자 돕는 기술 개발 의욕으로 챗봇 개발한 한의 군의관</strong>
<p class="slideTxt" style="color:#ffffff">육군 대위 이현훈 학생(대학원 임상한의학과 박사 수료), 의료용 인공지능 챗봇 개발</p>
</a>
</li>
</ul>
</section>,
<ul class="mainSlide">
<li class="slide01" style="background-image: url(/kor/upload/catalog/catalog_file_1631837907936.jpg);">
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152897&page=1&pageSize=5" target="_blank">
<strong class="slideTit" style="color:#ffffff"> </strong>
<p class="slideTxt" style="color:#ffffff"> </p>
</a>
</li>
<li class="slide02" style="background-image: url(/kor/upload/catalog/catalog_file_1631148167743.jpg);">
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152297" target="_blank">
<strong class="slideTit" style="color:#ffffff">인생의 한 페이지이자, 삶의 터전 경희를 떠나며</strong>
<p class="slideTxt" style="color:#ffffff">교원 정년퇴임식, 교수님의 노고에 감사드립니다</p>
</a>
</li>
<li class="slide03" style="background-image: url(/kor/upload/catalog/catalog_file_1605247095082.jpg);">
<a class="fadeInDown" href="http://card.cakecomms.com/kyunghee_cheerforjuniors2020_2/card" target="_blank">
<strong class="slideTit" style="color:#ffffff"> </strong>
<p class="slideTxt" style="color:#ffffff">▶ 카드뉴스 바로가기 </p>
</a>
</li>
<li class="slide04" style="background-image: url(/kor/upload/catalog/catalog_file_1631154596666.jpg);">
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152427&page=1" target="_blank">
<strong class="slideTit" style="color:#ffffff">양자 정보로 찾아낸 최적의 투자 포트폴리오</strong>
<p class="slideTxt" style="color:#ffffff">강누리·이건호·조우현 학생, ‘2021 양자정보경진대회’ 우수상 수상
</p>
</a>
</li>
<li class="slide05" style="background-image: url(/kor/upload/catalog/catalog_file_1631146412390.jpg);">
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152133&page=1" target="_self">
<strong class="slideTit" style="color:#ffffff">환자 돕는 기술 개발 의욕으로 챗봇 개발한 한의 군의관</strong>
<p class="slideTxt" style="color:#ffffff">육군 대위 이현훈 학생(대학원 임상한의학과 박사 수료), 의료용 인공지능 챗봇 개발</p>
</a>
</li>
</ul>,
<li class="slide01" style="background-image: url(/kor/upload/catalog/catalog_file_1631837907936.jpg);">
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152897&page=1&pageSize=5" target="_blank">
<strong class="slideTit" style="color:#ffffff"> </strong>
<p class="slideTxt" style="color:#ffffff"> </p>
</a>
</li>,
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152897&page=1&pageSize=5" target="_blank">
<strong class="slideTit" style="color:#ffffff"> </strong>
<p class="slideTxt" style="color:#ffffff"> </p>
</a>,
<strong class="slideTit" style="color:#ffffff"> </strong>,
<p class="slideTxt" style="color:#ffffff"> </p>,
<li class="slide02" style="background-image: url(/kor/upload/catalog/catalog_file_1631148167743.jpg);">
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152297" target="_blank">
<strong class="slideTit" style="color:#ffffff">인생의 한 페이지이자, 삶의 터전 경희를 떠나며</strong>
<p class="slideTxt" style="color:#ffffff">교원 정년퇴임식, 교수님의 노고에 감사드립니다</p>
</a>
</li>,
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152297" target="_blank">
<strong class="slideTit" style="color:#ffffff">인생의 한 페이지이자, 삶의 터전 경희를 떠나며</strong>
<p class="slideTxt" style="color:#ffffff">교원 정년퇴임식, 교수님의 노고에 감사드립니다</p>
</a>,
<strong class="slideTit" style="color:#ffffff">인생의 한 페이지이자, 삶의 터전 경희를 떠나며</strong>,
<p class="slideTxt" style="color:#ffffff">교원 정년퇴임식, 교수님의 노고에 감사드립니다</p>,
<li class="slide03" style="background-image: url(/kor/upload/catalog/catalog_file_1605247095082.jpg);">
<a class="fadeInDown" href="http://card.cakecomms.com/kyunghee_cheerforjuniors2020_2/card" target="_blank">
<strong class="slideTit" style="color:#ffffff"> </strong>
<p class="slideTxt" style="color:#ffffff">▶ 카드뉴스 바로가기 </p>
</a>
</li>,
<a class="fadeInDown" href="http://card.cakecomms.com/kyunghee_cheerforjuniors2020_2/card" target="_blank">
<strong class="slideTit" style="color:#ffffff"> </strong>
<p class="slideTxt" style="color:#ffffff">▶ 카드뉴스 바로가기 </p>
</a>,
<strong class="slideTit" style="color:#ffffff"> </strong>,
<p class="slideTxt" style="color:#ffffff">▶ 카드뉴스 바로가기 </p>,
<li class="slide04" style="background-image: url(/kor/upload/catalog/catalog_file_1631154596666.jpg);">
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152427&page=1" target="_blank">
<strong class="slideTit" style="color:#ffffff">양자 정보로 찾아낸 최적의 투자 포트폴리오</strong>
<p class="slideTxt" style="color:#ffffff">강누리·이건호·조우현 학생, ‘2021 양자정보경진대회’ 우수상 수상
</p>
</a>
</li>,
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152427&page=1" target="_blank">
<strong class="slideTit" style="color:#ffffff">양자 정보로 찾아낸 최적의 투자 포트폴리오</strong>
<p class="slideTxt" style="color:#ffffff">강누리·이건호·조우현 학생, ‘2021 양자정보경진대회’ 우수상 수상
</p>
</a>,
<strong class="slideTit" style="color:#ffffff">양자 정보로 찾아낸 최적의 투자 포트폴리오</strong>,
<p class="slideTxt" style="color:#ffffff">강누리·이건호·조우현 학생, ‘2021 양자정보경진대회’ 우수상 수상
</p>,
<li class="slide05" style="background-image: url(/kor/upload/catalog/catalog_file_1631146412390.jpg);">
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152133&page=1" target="_self">
<strong class="slideTit" style="color:#ffffff">환자 돕는 기술 개발 의욕으로 챗봇 개발한 한의 군의관</strong>
<p class="slideTxt" style="color:#ffffff">육군 대위 이현훈 학생(대학원 임상한의학과 박사 수료), 의료용 인공지능 챗봇 개발</p>
</a>
</li>,
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152133&page=1" target="_self">
<strong class="slideTit" style="color:#ffffff">환자 돕는 기술 개발 의욕으로 챗봇 개발한 한의 군의관</strong>
<p class="slideTxt" style="color:#ffffff">육군 대위 이현훈 학생(대학원 임상한의학과 박사 수료), 의료용 인공지능 챗봇 개발</p>
</a>,
<strong class="slideTit" style="color:#ffffff">환자 돕는 기술 개발 의욕으로 챗봇 개발한 한의 군의관</strong>,
<p class="slideTxt" style="color:#ffffff">육군 대위 이현훈 학생(대학원 임상한의학과 박사 수료), 의료용 인공지능 챗봇 개발</p>,
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9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>
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전자공학과 이응규 교수가 금 나노 입자를 활용해 표면 버블을 만드는 원리를 규명했다. 이번 연구는 나노 분야 세계적인 ...</p>
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HK+통합의료인문학연구단이 영국 옥스퍼드대학교 마크 해리슨 교수와 국제 공동연구 프로젝트를 진행한다. 이번 연구는 해리...</p>
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<span class="date">2021.09.23</span>
경희 글쓰기 클리닉 프로그램 신청 안내 ‘코로나 19’의 전세계적인 확산으로 사회적...
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㈜피씨디렉트 신입사원을 모집할 예정이며, 본교로 추천의뢰가 들어왔습니다. 이에 관심 있는...
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<span class="date">2021.09.23</span>
ETS에서 경희대학교 학생을 위한 공식 GRE 설명회를 개최합니다.해외 대학원 및 경영대학...
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<span class="date">2021.09.17</span>
&lt; 2021년도 (재)원장재단 장학생 선발 공고 &gt;(재)원장재단은 서울시 소재 ...
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<strong class="titW">[한방재료가공 학교기업] 2021-2학기 국...</strong>
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<span class="date">2021.09.15</span>
한방재료가공 학교기업에서 2021학년도 2학기 국가근로학생을 모집합니다. 1. 모집인원 :...
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<span class="date">2021.09.14</span>
&lt; 2021년도 (재)고속도로장학재단 고속도로 장학생 선발 안내 &gt;1. 신청자격...
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<span class="date">2021.09.13</span>
2021년 국내 하나장학생 선발안내 Ⅰ. 하나장학금 개요 ...
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<span class="date">2021.09.23</span>
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2021학년도 2학기 최종 등록 기간 안내 (재학생 및 복학생)1. 등록금 납부 기간 : ...
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2021학년도 2학기 필수교과(기초교과) 이수면제 신청 안내 1. 이수면제 대상과목...
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Visit the website ☞ pbf.khu.ac.kr ...
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웹사이트 방문 ☞ pbf.khu.ac.kr
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<span class="date">2021.08.30</span>
아래 링크로 연결됩니다.http://museum.khu.ac.kr/contents/bbs/...
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<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>
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<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371441890.png"/></div>
<span>자연사박물관</span>
</a>
</li>
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<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371497131.png"/></div>
<span>평생교육원</span>
</a>
</li>
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<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371526836.png"/></div>
<span>글로벌미래교육원</span>
</a>
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<li>
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371550067.png"/></div>
<span>국제교육원</span>
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<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371574258.png"/></div>
<span>교내전화번호</span>
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</li>
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<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371600431.png"/></div>
<span>캠퍼스안내</span>
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<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222636928.png"/></div>
<span>GIVE경희</span>
</a>
</li>
<li>
<a href="http://oiak.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371666149.png"/></div>
<span>국제교류처</span>
</a>
</li>
<li>
<a href="http://www.khua.or.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371688920.png"/></div>
<span>총동문회</span>
</a>
</li>
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371713863.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>
<li>
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371737293.png"/></div>
<span>평생교육원/언어교육원</span>
</a>
</li>
<li>
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371761092.png"/></div>
<span>글로벌미래교육원</span>
</a>
</li>
<li>
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371785633.png"/></div>
<span>국제교육원</span>
</a>
</li>
<li>
<a href="http://clean.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371807725.png"/></div>
<span>부정청탁신고센터</span>
</a>
</li>
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</div>
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<div class="container">
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" target="_blank" title="새 창 열기">투어신청하기</a>
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<img alt="" src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png"/>
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<img alt="" src="/kor/upload/board/board_mainImage_1631757522160.jpg"/>
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<strong>코로나 시대, 슬기로운 대학 생...</strong>
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9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>
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<a href="/kor/focus/detail.do?seq=2152259">
<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1630906938516.jpg"/>
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<strong>금 나노 입자 활용한 표면 버블...</strong>
<p class="txtW">
전자공학과 이응규 교수가 금 나노 입자를 활용해 표면 버블을 만드는 원리를 규명했다. 이번 연구는 나노 분야 세계적인 ...</p>
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<a href="/kor/focus/detail.do?seq=2152249">
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<strong>HK+연구단, 옥스퍼드대 마크 ...</strong>
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HK+통합의료인문학연구단이 영국 옥스퍼드대학교 마크 해리슨 교수와 국제 공동연구 프로젝트를 진행한다. 이번 연구는 해리...</p>
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<strong>코로나 시대, 슬기로운 대학 생...</strong>
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9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>
</a>
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<li>
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<img alt="" src="/kor/upload/board/board_mainImage_1630906938516.jpg"/>
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<strong>금 나노 입자 활용한 표면 버블...</strong>
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</a>
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<li>
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<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1630896475547.jpg"/>
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<strong>HK+연구단, 옥스퍼드대 마크 ...</strong>
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HK+통합의료인문학연구단이 영국 옥스퍼드대학교 마크 해리슨 교수와 국제 공동연구 프로젝트를 진행한다. 이번 연구는 해리...</p>
</a>
</li>
</ul>
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<h2 class="mainTit01 fontMer">Focus<a class="btnMore" href="/kor/focus/list.do?page=1&pageSize=5">더보기</a></h2>,
<a class="btnMore" href="/kor/focus/list.do?page=1&pageSize=5">더보기</a>,
<ul class="mainList01 clearfix">
<li>
<a href="/kor/focus/detail.do?seq=2152922">
<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1631757522160.jpg"/>
</div>
<strong>코로나 시대, 슬기로운 대학 생...</strong>
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9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>
</a>
</li>
<li>
<a href="/kor/focus/detail.do?seq=2152259">
<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1630906938516.jpg"/>
</div>
<strong>금 나노 입자 활용한 표면 버블...</strong>
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</a>
</li>
<li>
<a href="/kor/focus/detail.do?seq=2152249">
<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1630896475547.jpg"/>
</div>
<strong>HK+연구단, 옥스퍼드대 마크 ...</strong>
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</a>
</li>
</ul>,
<li>
<a href="/kor/focus/detail.do?seq=2152922">
<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1631757522160.jpg"/>
</div>
<strong>코로나 시대, 슬기로운 대학 생...</strong>
<p class="txtW">
9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>
</a>
</li>,
<a href="/kor/focus/detail.do?seq=2152922">
<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1631757522160.jpg"/>
</div>
<strong>코로나 시대, 슬기로운 대학 생...</strong>
<p class="txtW">
9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>
</a>,
<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1631757522160.jpg"/>
</div>,
<img alt="" src="/kor/upload/board/board_mainImage_1631757522160.jpg"/>,
<strong>코로나 시대, 슬기로운 대학 생...</strong>,
<p class="txtW">
9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>,
<li>
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<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1630906938516.jpg"/>
</div>
<strong>금 나노 입자 활용한 표면 버블...</strong>
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</a>
</li>,
<a href="/kor/focus/detail.do?seq=2152259">
<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1630906938516.jpg"/>
</div>
<strong>금 나노 입자 활용한 표면 버블...</strong>
<p class="txtW">
전자공학과 이응규 교수가 금 나노 입자를 활용해 표면 버블을 만드는 원리를 규명했다. 이번 연구는 나노 분야 세계적인 ...</p>
</a>,
<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1630906938516.jpg"/>
</div>,
<img alt="" src="/kor/upload/board/board_mainImage_1630906938516.jpg"/>,
<strong>금 나노 입자 활용한 표면 버블...</strong>,
<p class="txtW">
전자공학과 이응규 교수가 금 나노 입자를 활용해 표면 버블을 만드는 원리를 규명했다. 이번 연구는 나노 분야 세계적인 ...</p>,
<li>
<a href="/kor/focus/detail.do?seq=2152249">
<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1630896475547.jpg"/>
</div>
<strong>HK+연구단, 옥스퍼드대 마크 ...</strong>
<p class="txtW">
HK+통합의료인문학연구단이 영국 옥스퍼드대학교 마크 해리슨 교수와 국제 공동연구 프로젝트를 진행한다. 이번 연구는 해리...</p>
</a>
</li>,
<a href="/kor/focus/detail.do?seq=2152249">
<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1630896475547.jpg"/>
</div>
<strong>HK+연구단, 옥스퍼드대 마크 ...</strong>
<p class="txtW">
HK+통합의료인문학연구단이 영국 옥스퍼드대학교 마크 해리슨 교수와 국제 공동연구 프로젝트를 진행한다. 이번 연구는 해리...</p>
</a>,
<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1630896475547.jpg"/>
</div>,
<img alt="" src="/kor/upload/board/board_mainImage_1630896475547.jpg"/>,
<strong>HK+연구단, 옥스퍼드대 마크 ...</strong>,
<p class="txtW">
HK+통합의료인문학연구단이 영국 옥스퍼드대학교 마크 해리슨 교수와 국제 공동연구 프로젝트를 진행한다. 이번 연구는 해리...</p>,
<section class="mainSec02">
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<strong class="titW">[공통]</strong>
<strong class="titW">교원 상시채용 Pool 등록</strong>
<p class="txtW">
<span class="date">2021.06.30</span>
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<strong class="titW">경희 글쓰기클리닉 프로그램 신청 안내(10....</strong>
<p class="txtW">
<span class="date">2021.09.23</span>
경희 글쓰기 클리닉 프로그램 신청 안내 ‘코로나 19’의 전세계적인 확산으로 사회적...
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<strong class="titW">[국제]</strong>
<strong class="titW">[추천채용] ㈜피씨디렉트 신입사원 채용</strong>
<p class="txtW">
<span class="date">2021.09.23</span>
㈜피씨디렉트 신입사원을 모집할 예정이며, 본교로 추천의뢰가 들어왔습니다. 이에 관심 있는...
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<strong class="titW">[공통]</strong>
<strong class="titW">[국제교류팀] 경희대학교 학생을 위한 공식 ...</strong>
<p class="txtW">
<span class="date">2021.09.23</span>
ETS에서 경희대학교 학생을 위한 공식 GRE 설명회를 개최합니다.해외 대학원 및 경영대학...
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<strong class="titW">[서울]</strong>
<strong class="titW">[서울][대외][~10.29] 2021학년도...</strong>
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<span class="date">2021.09.17</span>
&lt; 2021년도 (재)원장재단 장학생 선발 공고 &gt;(재)원장재단은 서울시 소재 ...
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<strong class="titW">[국제]</strong>
<strong class="titW">[한방재료가공 학교기업] 2021-2학기 국...</strong>
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<span class="date">2021.09.15</span>
한방재료가공 학교기업에서 2021학년도 2학기 국가근로학생을 모집합니다. 1. 모집인원 :...
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<a class="btn09 fontMer" href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152881">More</a>
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<strong class="titW">[공통]</strong>
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<a class="btn09 fontMer" href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152795">More</a>
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<strong class="titW">[국제]</strong>
<strong class="titW">[국제][대외][~9.28]2021년 하나금...</strong>
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</div>
</li>,
<div class="hoverW">
<strong class="titW">[공통]</strong>
<strong class="titW">코로나 시대, 슬기로운 대학생활을 위한 총장...</strong>
<p class="txtW">
<span class="date">2021.08.31</span>
</p>
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=EVENT&seq=2152088">More</a>
</div>,
<strong class="titW">[공통]</strong>,
<strong class="titW">코로나 시대, 슬기로운 대학생활을 위한 총장...</strong>,
<p class="txtW">
<span class="date">2021.08.31</span>
</p>,
<span class="date">2021.08.31</span>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=EVENT&seq=2152088">More</a>,
<li>
<div class="hoverW">
<strong class="titW">[공통]</strong>
<strong class="titW">2021 대학박물관진흥지원사업-경희대 중앙박...</strong>
<p class="txtW">
<span class="date">2021.08.30</span>
아래 링크로 연결됩니다.http://museum.khu.ac.kr/contents/bbs/...
</p>
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=EVENT&seq=2152058">More</a>
</div>
</li>,
<div class="hoverW">
<strong class="titW">[공통]</strong>
<strong class="titW">2021 대학박물관진흥지원사업-경희대 중앙박...</strong>
<p class="txtW">
<span class="date">2021.08.30</span>
아래 링크로 연결됩니다.http://museum.khu.ac.kr/contents/bbs/...
</p>
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=EVENT&seq=2152058">More</a>
</div>,
<strong class="titW">[공통]</strong>,
<strong class="titW">2021 대학박물관진흥지원사업-경희대 중앙박...</strong>,
<p class="txtW">
<span class="date">2021.08.30</span>
아래 링크로 연결됩니다.http://museum.khu.ac.kr/contents/bbs/...
</p>,
<span class="date">2021.08.30</span>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=EVENT&seq=2152058">More</a>,
<section class="mainSec09">
<div class="container">
<h2 class="mainTit01 fontMer">Link</h2>
<ul class="mainList09">
<li class="">
<a href="http://ipsi5.uwayapply.com/foreign/khu/?CHA=1" target="_blank">
2022-1(1차) 외국인 신편입학 원서접수
</a>
</li>
<li class="">
<a href="http://sugang.khu.ac.kr" target="_blank">
2021-2학기 학부 수강신청
</a>
</li>
<li class="">
<a href="https://www.khu.ac.kr/upload/notice/2021_NCSI_Notice.pdf" target="_blank">
2021 경희대학교 개선 과제
</a>
</li>
<li class="">
<a href="http://www.khu.ac.kr/upload/notice/HumanitasCollege_2021_01.pdf" target="_self">
후마니타스칼리지 가이드북
</a>
</li>
<li class="">
<a href="http://igkh.khu.ac.kr/" target="_blank">
대학원혁신지원사업단
</a>
</li>
<li class="noAfter">
<a href="http://goodjob.khu.ac.kr" target="_self">
취업진로정보
</a>
</li>
<li class="">
<a href="http://janghak.khu.ac.kr/" target="_self">
교내장학 신청
</a>
</li>
<li class="">
<a href="http://www.kosaf.go.kr/" target="_self">
학자금대출/국가장학금 신청
</a>
</li>
<li class="">
<a href="https://eip.khu.ac.kr" target="_blank">
대학혁신지원사업
</a>
</li>
<li class="">
<a href="http://ombuds.khu.ac.kr/" target="_self">
경희옴부즈/통합민원
</a>
</li>
<li class="">
<a href="http://research.khu.ac.kr/board/bbs/board.php?bo_table=06_02" target="_self">
국가 R&D사업 공고
</a>
</li>
<li class="noAfter">
<a href="http://lincplus.khu.ac.kr/" target="_blank">
LINC+사업단
</a>
</li>
<li class="">
<a href="https://give.khu.ac.kr/" target="_blank">
발전기금(GIVE경희)
</a>
</li>
</ul>
</div>
</section>,
<div class="container">
<h2 class="mainTit01 fontMer">Link</h2>
<ul class="mainList09">
<li class="">
<a href="http://ipsi5.uwayapply.com/foreign/khu/?CHA=1" target="_blank">
2022-1(1차) 외국인 신편입학 원서접수
</a>
</li>
<li class="">
<a href="http://sugang.khu.ac.kr" target="_blank">
2021-2학기 학부 수강신청
</a>
</li>
<li class="">
<a href="https://www.khu.ac.kr/upload/notice/2021_NCSI_Notice.pdf" target="_blank">
2021 경희대학교 개선 과제
</a>
</li>
<li class="">
<a href="http://www.khu.ac.kr/upload/notice/HumanitasCollege_2021_01.pdf" target="_self">
후마니타스칼리지 가이드북
</a>
</li>
<li class="">
<a href="http://igkh.khu.ac.kr/" target="_blank">
대학원혁신지원사업단
</a>
</li>
<li class="noAfter">
<a href="http://goodjob.khu.ac.kr" target="_self">
취업진로정보
</a>
</li>
<li class="">
<a href="http://janghak.khu.ac.kr/" target="_self">
교내장학 신청
</a>
</li>
<li class="">
<a href="http://www.kosaf.go.kr/" target="_self">
학자금대출/국가장학금 신청
</a>
</li>
<li class="">
<a href="https://eip.khu.ac.kr" target="_blank">
대학혁신지원사업
</a>
</li>
<li class="">
<a href="http://ombuds.khu.ac.kr/" target="_self">
경희옴부즈/통합민원
</a>
</li>
<li class="">
<a href="http://research.khu.ac.kr/board/bbs/board.php?bo_table=06_02" target="_self">
국가 R&D사업 공고
</a>
</li>
<li class="noAfter">
<a href="http://lincplus.khu.ac.kr/" target="_blank">
LINC+사업단
</a>
</li>
<li class="">
<a href="https://give.khu.ac.kr/" target="_blank">
발전기금(GIVE경희)
</a>
</li>
</ul>
</div>,
<h2 class="mainTit01 fontMer">Link</h2>,
<ul class="mainList09">
<li class="">
<a href="http://ipsi5.uwayapply.com/foreign/khu/?CHA=1" target="_blank">
2022-1(1차) 외국인 신편입학 원서접수
</a>
</li>
<li class="">
<a href="http://sugang.khu.ac.kr" target="_blank">
2021-2학기 학부 수강신청
</a>
</li>
<li class="">
<a href="https://www.khu.ac.kr/upload/notice/2021_NCSI_Notice.pdf" target="_blank">
2021 경희대학교 개선 과제
</a>
</li>
<li class="">
<a href="http://www.khu.ac.kr/upload/notice/HumanitasCollege_2021_01.pdf" target="_self">
후마니타스칼리지 가이드북
</a>
</li>
<li class="">
<a href="http://igkh.khu.ac.kr/" target="_blank">
대학원혁신지원사업단
</a>
</li>
<li class="noAfter">
<a href="http://goodjob.khu.ac.kr" target="_self">
취업진로정보
</a>
</li>
<li class="">
<a href="http://janghak.khu.ac.kr/" target="_self">
교내장학 신청
</a>
</li>
<li class="">
<a href="http://www.kosaf.go.kr/" target="_self">
학자금대출/국가장학금 신청
</a>
</li>
<li class="">
<a href="https://eip.khu.ac.kr" target="_blank">
대학혁신지원사업
</a>
</li>
<li class="">
<a href="http://ombuds.khu.ac.kr/" target="_self">
경희옴부즈/통합민원
</a>
</li>
<li class="">
<a href="http://research.khu.ac.kr/board/bbs/board.php?bo_table=06_02" target="_self">
국가 R&D사업 공고
</a>
</li>
<li class="noAfter">
<a href="http://lincplus.khu.ac.kr/" target="_blank">
LINC+사업단
</a>
</li>
<li class="">
<a href="https://give.khu.ac.kr/" target="_blank">
발전기금(GIVE경희)
</a>
</li>
</ul>,
<li class="">
<a href="http://ipsi5.uwayapply.com/foreign/khu/?CHA=1" target="_blank">
2022-1(1차) 외국인 신편입학 원서접수
</a>
</li>,
<a href="http://ipsi5.uwayapply.com/foreign/khu/?CHA=1" target="_blank">
2022-1(1차) 외국인 신편입학 원서접수
</a>,
<li class="">
<a href="http://sugang.khu.ac.kr" target="_blank">
2021-2학기 학부 수강신청
</a>
</li>,
<a href="http://sugang.khu.ac.kr" target="_blank">
2021-2학기 학부 수강신청
</a>,
<li class="">
<a href="https://www.khu.ac.kr/upload/notice/2021_NCSI_Notice.pdf" target="_blank">
2021 경희대학교 개선 과제
</a>
</li>,
<a href="https://www.khu.ac.kr/upload/notice/2021_NCSI_Notice.pdf" target="_blank">
2021 경희대학교 개선 과제
</a>,
<li class="">
<a href="http://www.khu.ac.kr/upload/notice/HumanitasCollege_2021_01.pdf" target="_self">
후마니타스칼리지 가이드북
</a>
</li>,
<a href="http://www.khu.ac.kr/upload/notice/HumanitasCollege_2021_01.pdf" target="_self">
후마니타스칼리지 가이드북
</a>,
<li class="">
<a href="http://igkh.khu.ac.kr/" target="_blank">
대학원혁신지원사업단
</a>
</li>,
<a href="http://igkh.khu.ac.kr/" target="_blank">
대학원혁신지원사업단
</a>,
<li class="noAfter">
<a href="http://goodjob.khu.ac.kr" target="_self">
취업진로정보
</a>
</li>,
<a href="http://goodjob.khu.ac.kr" target="_self">
취업진로정보
</a>,
<li class="">
<a href="http://janghak.khu.ac.kr/" target="_self">
교내장학 신청
</a>
</li>,
<a href="http://janghak.khu.ac.kr/" target="_self">
교내장학 신청
</a>,
<li class="">
<a href="http://www.kosaf.go.kr/" target="_self">
학자금대출/국가장학금 신청
</a>
</li>,
<a href="http://www.kosaf.go.kr/" target="_self">
학자금대출/국가장학금 신청
</a>,
<li class="">
<a href="https://eip.khu.ac.kr" target="_blank">
대학혁신지원사업
</a>
</li>,
<a href="https://eip.khu.ac.kr" target="_blank">
대학혁신지원사업
</a>,
<li class="">
<a href="http://ombuds.khu.ac.kr/" target="_self">
경희옴부즈/통합민원
</a>
</li>,
<a href="http://ombuds.khu.ac.kr/" target="_self">
경희옴부즈/통합민원
</a>,
<li class="">
<a href="http://research.khu.ac.kr/board/bbs/board.php?bo_table=06_02" target="_self">
국가 R&D사업 공고
</a>
</li>,
<a href="http://research.khu.ac.kr/board/bbs/board.php?bo_table=06_02" target="_self">
국가 R&D사업 공고
</a>,
<li class="noAfter">
<a href="http://lincplus.khu.ac.kr/" target="_blank">
LINC+사업단
</a>
</li>,
<a href="http://lincplus.khu.ac.kr/" target="_blank">
LINC+사업단
</a>,
<li class="">
<a href="https://give.khu.ac.kr/" target="_blank">
발전기금(GIVE경희)
</a>
</li>,
<a href="https://give.khu.ac.kr/" target="_blank">
발전기금(GIVE경희)
</a>,
<section class="mainSec03">
<div class="container">
<h2 class="mainTit01 fontMer">News</h2>
<ul class="mainList03 clearfix">
<li>
<div class="label">언론</div>
<div class="boxSt01">
<a href="/kor/news/detail.do?seq=2152961&category=PRESS&page=1">
<strong class="titW">[9/17] 코로나시대 지식생태학…“지성보다 야성적 사고 필요해...</strong>
<p class="txtW">
<span class="date">2021.09.17</span>
...
</p>
</a>
</div>
</li>
<li class="color02">
<div class="label">경희광고</div>
<div class="imgBoxSt01">
<img alt="" src="/kor/upload/board/board_mainImage_1631845808243.jpg"/>
<div class="imgDim">
<div class="icoWrap">
<a "="" href="/kor/news/list.do?category=ADVERTISING&page=1" target="_blank">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a><!--20181217 alt 값 추가-->
<a href="/kor/download.do?seq=2152959" target="_blank">
<img alt="다운로드" src="/kor/resources/user/img/pc/contents/ico/icoMainDown.png"/></a><!--20181217 alt 값 추가-->
</div>
</div>
</div>
<div class="boxSt02">
<strong class="titW01">전환문명의 전위, 어디를 향...</strong>
</div>
</li>
<li class="color03">
<div class="label">e-News</div>
<div class="boxSt01">
<a href="/kor/news/detail.do?seq=2152942&category=ENEWS&page=1">
<strong class="titW">[Kyung Hee e-News No.218] 인생의 한 페이지...</strong>
<p class="txtW">
<span class="date">2021.09.16</span>
...
</p>
</a>
</div>
</li>
<li class="color04">
<div class="label">신간안내</div>
<div class="imgBoxSt01">
<img alt="" src="/kor/upload/board/board_mainImage_1629356148076.jpg"/>
<div class="imgDim">
<div class="icoWrap">
<a href="/kor/news/detail.do?seq=2151714&category=NEWS&page=1">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a><!--20181217 alt 값 추가-->
</div>
</div>
</div>
<div class="boxSt02">
<strong class="titW02">외국인을 위한 성찰과 표현</strong>
</div>
</li>
</ul>
</div>
</section>,
<div class="container">
<h2 class="mainTit01 fontMer">News</h2>
<ul class="mainList03 clearfix">
<li>
<div class="label">언론</div>
<div class="boxSt01">
<a href="/kor/news/detail.do?seq=2152961&category=PRESS&page=1">
<strong class="titW">[9/17] 코로나시대 지식생태학…“지성보다 야성적 사고 필요해...</strong>
<p class="txtW">
<span class="date">2021.09.17</span>
...
</p>
</a>
</div>
</li>
<li class="color02">
<div class="label">경희광고</div>
<div class="imgBoxSt01">
<img alt="" src="/kor/upload/board/board_mainImage_1631845808243.jpg"/>
<div class="imgDim">
<div class="icoWrap">
<a "="" href="/kor/news/list.do?category=ADVERTISING&page=1" target="_blank">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a><!--20181217 alt 값 추가-->
<a href="/kor/download.do?seq=2152959" target="_blank">
<img alt="다운로드" src="/kor/resources/user/img/pc/contents/ico/icoMainDown.png"/></a><!--20181217 alt 값 추가-->
</div>
</div>
</div>
<div class="boxSt02">
<strong class="titW01">전환문명의 전위, 어디를 향...</strong>
</div>
</li>
<li class="color03">
<div class="label">e-News</div>
<div class="boxSt01">
<a href="/kor/news/detail.do?seq=2152942&category=ENEWS&page=1">
<strong class="titW">[Kyung Hee e-News No.218] 인생의 한 페이지...</strong>
<p class="txtW">
<span class="date">2021.09.16</span>
...
</p>
</a>
</div>
</li>
<li class="color04">
<div class="label">신간안내</div>
<div class="imgBoxSt01">
<img alt="" src="/kor/upload/board/board_mainImage_1629356148076.jpg"/>
<div class="imgDim">
<div class="icoWrap">
<a href="/kor/news/detail.do?seq=2151714&category=NEWS&page=1">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a><!--20181217 alt 값 추가-->
</div>
</div>
</div>
<div class="boxSt02">
<strong class="titW02">외국인을 위한 성찰과 표현</strong>
</div>
</li>
</ul>
</div>,
<h2 class="mainTit01 fontMer">News</h2>,
<ul class="mainList03 clearfix">
<li>
<div class="label">언론</div>
<div class="boxSt01">
<a href="/kor/news/detail.do?seq=2152961&category=PRESS&page=1">
<strong class="titW">[9/17] 코로나시대 지식생태학…“지성보다 야성적 사고 필요해...</strong>
<p class="txtW">
<span class="date">2021.09.17</span>
...
</p>
</a>
</div>
</li>
<li class="color02">
<div class="label">경희광고</div>
<div class="imgBoxSt01">
<img alt="" src="/kor/upload/board/board_mainImage_1631845808243.jpg"/>
<div class="imgDim">
<div class="icoWrap">
<a "="" href="/kor/news/list.do?category=ADVERTISING&page=1" target="_blank">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a><!--20181217 alt 값 추가-->
<a href="/kor/download.do?seq=2152959" target="_blank">
<img alt="다운로드" src="/kor/resources/user/img/pc/contents/ico/icoMainDown.png"/></a><!--20181217 alt 값 추가-->
</div>
</div>
</div>
<div class="boxSt02">
<strong class="titW01">전환문명의 전위, 어디를 향...</strong>
</div>
</li>
<li class="color03">
<div class="label">e-News</div>
<div class="boxSt01">
<a href="/kor/news/detail.do?seq=2152942&category=ENEWS&page=1">
<strong class="titW">[Kyung Hee e-News No.218] 인생의 한 페이지...</strong>
<p class="txtW">
<span class="date">2021.09.16</span>
...
</p>
</a>
</div>
</li>
<li class="color04">
<div class="label">신간안내</div>
<div class="imgBoxSt01">
<img alt="" src="/kor/upload/board/board_mainImage_1629356148076.jpg"/>
<div class="imgDim">
<div class="icoWrap">
<a href="/kor/news/detail.do?seq=2151714&category=NEWS&page=1">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a><!--20181217 alt 값 추가-->
</div>
</div>
</div>
<div class="boxSt02">
<strong class="titW02">외국인을 위한 성찰과 표현</strong>
</div>
</li>
</ul>,
<li>
<div class="label">언론</div>
<div class="boxSt01">
<a href="/kor/news/detail.do?seq=2152961&category=PRESS&page=1">
<strong class="titW">[9/17] 코로나시대 지식생태학…“지성보다 야성적 사고 필요해...</strong>
<p class="txtW">
<span class="date">2021.09.17</span>
...
</p>
</a>
</div>
</li>,
<div class="label">언론</div>,
<div class="boxSt01">
<a href="/kor/news/detail.do?seq=2152961&category=PRESS&page=1">
<strong class="titW">[9/17] 코로나시대 지식생태학…“지성보다 야성적 사고 필요해...</strong>
<p class="txtW">
<span class="date">2021.09.17</span>
...
</p>
</a>
</div>,
<a href="/kor/news/detail.do?seq=2152961&category=PRESS&page=1">
<strong class="titW">[9/17] 코로나시대 지식생태학…“지성보다 야성적 사고 필요해...</strong>
<p class="txtW">
<span class="date">2021.09.17</span>
...
</p>
</a>,
<strong class="titW">[9/17] 코로나시대 지식생태학…“지성보다 야성적 사고 필요해...</strong>,
<p class="txtW">
<span class="date">2021.09.17</span>
...
</p>,
<span class="date">2021.09.17</span>,
<li class="color02">
<div class="label">경희광고</div>
<div class="imgBoxSt01">
<img alt="" src="/kor/upload/board/board_mainImage_1631845808243.jpg"/>
<div class="imgDim">
<div class="icoWrap">
<a "="" href="/kor/news/list.do?category=ADVERTISING&page=1" target="_blank">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a><!--20181217 alt 값 추가-->
<a href="/kor/download.do?seq=2152959" target="_blank">
<img alt="다운로드" src="/kor/resources/user/img/pc/contents/ico/icoMainDown.png"/></a><!--20181217 alt 값 추가-->
</div>
</div>
</div>
<div class="boxSt02">
<strong class="titW01">전환문명의 전위, 어디를 향...</strong>
</div>
</li>,
<div class="label">경희광고</div>,
<div class="imgBoxSt01">
<img alt="" src="/kor/upload/board/board_mainImage_1631845808243.jpg"/>
<div class="imgDim">
<div class="icoWrap">
<a "="" href="/kor/news/list.do?category=ADVERTISING&page=1" target="_blank">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a><!--20181217 alt 값 추가-->
<a href="/kor/download.do?seq=2152959" target="_blank">
<img alt="다운로드" src="/kor/resources/user/img/pc/contents/ico/icoMainDown.png"/></a><!--20181217 alt 값 추가-->
</div>
</div>
</div>,
<img alt="" src="/kor/upload/board/board_mainImage_1631845808243.jpg"/>,
<div class="imgDim">
<div class="icoWrap">
<a "="" href="/kor/news/list.do?category=ADVERTISING&page=1" target="_blank">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a><!--20181217 alt 값 추가-->
<a href="/kor/download.do?seq=2152959" target="_blank">
<img alt="다운로드" src="/kor/resources/user/img/pc/contents/ico/icoMainDown.png"/></a><!--20181217 alt 값 추가-->
</div>
</div>,
<div class="icoWrap">
<a "="" href="/kor/news/list.do?category=ADVERTISING&page=1" target="_blank">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a><!--20181217 alt 값 추가-->
<a href="/kor/download.do?seq=2152959" target="_blank">
<img alt="다운로드" src="/kor/resources/user/img/pc/contents/ico/icoMainDown.png"/></a><!--20181217 alt 값 추가-->
</div>,
<a "="" href="/kor/news/list.do?category=ADVERTISING&page=1" target="_blank">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a>,
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/>,
<a href="/kor/download.do?seq=2152959" target="_blank">
<img alt="다운로드" src="/kor/resources/user/img/pc/contents/ico/icoMainDown.png"/></a>,
<img alt="다운로드" src="/kor/resources/user/img/pc/contents/ico/icoMainDown.png"/>,
<div class="boxSt02">
<strong class="titW01">전환문명의 전위, 어디를 향...</strong>
</div>,
<strong class="titW01">전환문명의 전위, 어디를 향...</strong>,
<li class="color03">
<div class="label">e-News</div>
<div class="boxSt01">
<a href="/kor/news/detail.do?seq=2152942&category=ENEWS&page=1">
<strong class="titW">[Kyung Hee e-News No.218] 인생의 한 페이지...</strong>
<p class="txtW">
<span class="date">2021.09.16</span>
...
</p>
</a>
</div>
</li>,
<div class="label">e-News</div>,
<div class="boxSt01">
<a href="/kor/news/detail.do?seq=2152942&category=ENEWS&page=1">
<strong class="titW">[Kyung Hee e-News No.218] 인생의 한 페이지...</strong>
<p class="txtW">
<span class="date">2021.09.16</span>
...
</p>
</a>
</div>,
<a href="/kor/news/detail.do?seq=2152942&category=ENEWS&page=1">
<strong class="titW">[Kyung Hee e-News No.218] 인생의 한 페이지...</strong>
<p class="txtW">
<span class="date">2021.09.16</span>
...
</p>
</a>,
<strong class="titW">[Kyung Hee e-News No.218] 인생의 한 페이지...</strong>,
<p class="txtW">
<span class="date">2021.09.16</span>
...
</p>,
<span class="date">2021.09.16</span>,
<li class="color04">
<div class="label">신간안내</div>
<div class="imgBoxSt01">
<img alt="" src="/kor/upload/board/board_mainImage_1629356148076.jpg"/>
<div class="imgDim">
<div class="icoWrap">
<a href="/kor/news/detail.do?seq=2151714&category=NEWS&page=1">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a><!--20181217 alt 값 추가-->
</div>
</div>
</div>
<div class="boxSt02">
<strong class="titW02">외국인을 위한 성찰과 표현</strong>
</div>
</li>,
<div class="label">신간안내</div>,
<div class="imgBoxSt01">
<img alt="" src="/kor/upload/board/board_mainImage_1629356148076.jpg"/>
<div class="imgDim">
<div class="icoWrap">
<a href="/kor/news/detail.do?seq=2151714&category=NEWS&page=1">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a><!--20181217 alt 값 추가-->
</div>
</div>
</div>,
<img alt="" src="/kor/upload/board/board_mainImage_1629356148076.jpg"/>,
<div class="imgDim">
<div class="icoWrap">
<a href="/kor/news/detail.do?seq=2151714&category=NEWS&page=1">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a><!--20181217 alt 값 추가-->
</div>
</div>,
<div class="icoWrap">
<a href="/kor/news/detail.do?seq=2151714&category=NEWS&page=1">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a><!--20181217 alt 값 추가-->
</div>,
<a href="/kor/news/detail.do?seq=2151714&category=NEWS&page=1">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a>,
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/>,
<div class="boxSt02">
<strong class="titW02">외국인을 위한 성찰과 표현</strong>
</div>,
<strong class="titW02">외국인을 위한 성찰과 표현</strong>,
<section class="mainSec04">
<div class="container">
<form action="">
<label for="email">구독을 신청해 주시면 경희 소식을 전해 드립니다.</label><!--20181214 for 값 입력-->
<div class="inputBox">
<input id="email" placeholder="address@mail.com" type="email"/>
<button onclick="subscribe();return false;" type="submit">Application</button>
</div>
</form>
</div>
</section>,
<div class="container">
<form action="">
<label for="email">구독을 신청해 주시면 경희 소식을 전해 드립니다.</label><!--20181214 for 값 입력-->
<div class="inputBox">
<input id="email" placeholder="address@mail.com" type="email"/>
<button onclick="subscribe();return false;" type="submit">Application</button>
</div>
</form>
</div>,
<form action="">
<label for="email">구독을 신청해 주시면 경희 소식을 전해 드립니다.</label><!--20181214 for 값 입력-->
<div class="inputBox">
<input id="email" placeholder="address@mail.com" type="email"/>
<button onclick="subscribe();return false;" type="submit">Application</button>
</div>
</form>,
<label for="email">구독을 신청해 주시면 경희 소식을 전해 드립니다.</label>,
<div class="inputBox">
<input id="email" placeholder="address@mail.com" type="email"/>
<button onclick="subscribe();return false;" type="submit">Application</button>
</div>,
<input id="email" placeholder="address@mail.com" type="email"/>,
<button onclick="subscribe();return false;" type="submit">Application</button>,
<section class="mainSec05">
<div class="container">
<h2 class="mainTit01 fontMer">Multimedia</h2>
<ul class="mainList05">
<li class="bigW">
<div class="bgWrap">
<a href="/kor/video/list.do?category=VIDEO_GALLERY_02&sortColumn=orderNo&sortOrder=ASC&seq=2146997">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1613975799202.jpg"/>
<div class="decoPlay">
<img alt="" src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png"/>
</div>
<div class="caption">
<span>영상</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>
</div>
<strong class="guideTit01">Review 2020</strong>
<p class="guide02">
</p>
</li>
<li class="smallW small01">
<div class="bgWrap">
<a href="/kor/cardNews/list.do?seq=2152900">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1631751726302.jpg"/>
<div class="caption">
<span>카드뉴스</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>
</div>
<strong class="guideTit01">‘전환문명의 전위, 어디를 ...</strong>
<p class="txtW">
경희가 오는 9월 17일부터 12월까지 ‘제40회 UN 세계평화의 날 기념 Peace BA...
</p>
</li>
<li class="smallW small02">
<div class="bgWrap">
<a href="/kor/photo/list.do?seq=2152314">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1630994757203.jpg"/>
<div class="caption">
<span>포토갤러리</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>
</div>
<strong class="guideTit01">여름 풍경</strong>
<p class="txtW">
</p>
</li>
</ul>
</div>
</section>,
<div class="container">
<h2 class="mainTit01 fontMer">Multimedia</h2>
<ul class="mainList05">
<li class="bigW">
<div class="bgWrap">
<a href="/kor/video/list.do?category=VIDEO_GALLERY_02&sortColumn=orderNo&sortOrder=ASC&seq=2146997">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1613975799202.jpg"/>
<div class="decoPlay">
<img alt="" src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png"/>
</div>
<div class="caption">
<span>영상</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>
</div>
<strong class="guideTit01">Review 2020</strong>
<p class="guide02">
</p>
</li>
<li class="smallW small01">
<div class="bgWrap">
<a href="/kor/cardNews/list.do?seq=2152900">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1631751726302.jpg"/>
<div class="caption">
<span>카드뉴스</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>
</div>
<strong class="guideTit01">‘전환문명의 전위, 어디를 ...</strong>
<p class="txtW">
경희가 오는 9월 17일부터 12월까지 ‘제40회 UN 세계평화의 날 기념 Peace BA...
</p>
</li>
<li class="smallW small02">
<div class="bgWrap">
<a href="/kor/photo/list.do?seq=2152314">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1630994757203.jpg"/>
<div class="caption">
<span>포토갤러리</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>
</div>
<strong class="guideTit01">여름 풍경</strong>
<p class="txtW">
</p>
</li>
</ul>
</div>,
<h2 class="mainTit01 fontMer">Multimedia</h2>,
<ul class="mainList05">
<li class="bigW">
<div class="bgWrap">
<a href="/kor/video/list.do?category=VIDEO_GALLERY_02&sortColumn=orderNo&sortOrder=ASC&seq=2146997">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1613975799202.jpg"/>
<div class="decoPlay">
<img alt="" src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png"/>
</div>
<div class="caption">
<span>영상</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>
</div>
<strong class="guideTit01">Review 2020</strong>
<p class="guide02">
</p>
</li>
<li class="smallW small01">
<div class="bgWrap">
<a href="/kor/cardNews/list.do?seq=2152900">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1631751726302.jpg"/>
<div class="caption">
<span>카드뉴스</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>
</div>
<strong class="guideTit01">‘전환문명의 전위, 어디를 ...</strong>
<p class="txtW">
경희가 오는 9월 17일부터 12월까지 ‘제40회 UN 세계평화의 날 기념 Peace BA...
</p>
</li>
<li class="smallW small02">
<div class="bgWrap">
<a href="/kor/photo/list.do?seq=2152314">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1630994757203.jpg"/>
<div class="caption">
<span>포토갤러리</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>
</div>
<strong class="guideTit01">여름 풍경</strong>
<p class="txtW">
</p>
</li>
</ul>,
<li class="bigW">
<div class="bgWrap">
<a href="/kor/video/list.do?category=VIDEO_GALLERY_02&sortColumn=orderNo&sortOrder=ASC&seq=2146997">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1613975799202.jpg"/>
<div class="decoPlay">
<img alt="" src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png"/>
</div>
<div class="caption">
<span>영상</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>
</div>
<strong class="guideTit01">Review 2020</strong>
<p class="guide02">
</p>
</li>,
<div class="bgWrap">
<a href="/kor/video/list.do?category=VIDEO_GALLERY_02&sortColumn=orderNo&sortOrder=ASC&seq=2146997">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1613975799202.jpg"/>
<div class="decoPlay">
<img alt="" src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png"/>
</div>
<div class="caption">
<span>영상</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>
</div>,
<a href="/kor/video/list.do?category=VIDEO_GALLERY_02&sortColumn=orderNo&sortOrder=ASC&seq=2146997">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1613975799202.jpg"/>
<div class="decoPlay">
<img alt="" src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png"/>
</div>
<div class="caption">
<span>영상</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>,
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1613975799202.jpg"/>,
<div class="decoPlay">
<img alt="" src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png"/>
</div>,
<img alt="" src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png"/>,
<div class="caption">
<span>영상</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>,
<span>영상</span>,
<img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>,
<strong class="guideTit01">Review 2020</strong>,
<p class="guide02">
</p>,
<li class="smallW small01">
<div class="bgWrap">
<a href="/kor/cardNews/list.do?seq=2152900">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1631751726302.jpg"/>
<div class="caption">
<span>카드뉴스</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>
</div>
<strong class="guideTit01">‘전환문명의 전위, 어디를 ...</strong>
<p class="txtW">
경희가 오는 9월 17일부터 12월까지 ‘제40회 UN 세계평화의 날 기념 Peace BA...
</p>
</li>,
<div class="bgWrap">
<a href="/kor/cardNews/list.do?seq=2152900">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1631751726302.jpg"/>
<div class="caption">
<span>카드뉴스</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>
</div>,
<a href="/kor/cardNews/list.do?seq=2152900">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1631751726302.jpg"/>
<div class="caption">
<span>카드뉴스</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>,
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1631751726302.jpg"/>,
<div class="caption">
<span>카드뉴스</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>,
<span>카드뉴스</span>,
<img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>,
<strong class="guideTit01">‘전환문명의 전위, 어디를 ...</strong>,
<p class="txtW">
경희가 오는 9월 17일부터 12월까지 ‘제40회 UN 세계평화의 날 기념 Peace BA...
</p>,
<li class="smallW small02">
<div class="bgWrap">
<a href="/kor/photo/list.do?seq=2152314">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1630994757203.jpg"/>
<div class="caption">
<span>포토갤러리</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>
</div>
<strong class="guideTit01">여름 풍경</strong>
<p class="txtW">
</p>
</li>,
<div class="bgWrap">
<a href="/kor/photo/list.do?seq=2152314">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1630994757203.jpg"/>
<div class="caption">
<span>포토갤러리</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>
</div>,
<a href="/kor/photo/list.do?seq=2152314">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1630994757203.jpg"/>
<div class="caption">
<span>포토갤러리</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>,
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1630994757203.jpg"/>,
<div class="caption">
<span>포토갤러리</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>,
<span>포토갤러리</span>,
<img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>,
<strong class="guideTit01">여름 풍경</strong>,
<p class="txtW">
</p>,
<section class="mainSec06">
<div class="container">
<ul class="snsIcoW clearfix">
<li class="sns06 on">
<a href="#">인스타그램</a><!--20210311 text 추가-->
</li>
<li class="sns04">
<a href="#">유튜브</a><!--20181217 text 추가-->
</li>
<li class="sns01">
<a href="#">페이스북</a><!--20181217 text 추가-->
</li>
<li class="sns03">
<a href="#">블로그</a><!--20181217 text 추가-->
</li>
<li class="sns05">
<a href="#">링크드인</a><!--20181217 text 추가-->
</li>
<li class="sns02">
<a href="#">트위터</a><!--20181217 text 추가-->
</li>
</ul>
<ul class="snsSlide">
<li class="snsW06">
<a href="https://www.instagram.com/p/CTy7MlNBKFB/?utm_source=ig_web_copy_link" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo06.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855520789.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>
<p>#코로나19 #이전 #경희생활</p>
</div>
</img></div>
</a>
</li>
<li class="snsW04">
<a href="https://youtu.be/yXy-UnaArXc" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo04.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855658002.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>
<p>#총장과의 #대화</p>
</div>
</img></div>
</a>
</li>
<li class="snsW01">
<a href="https://www.facebook.com/kyungheeuniv/posts/4770470646307788" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo01.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855541594.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 FOCUS] 욘사마, 싸이, BTS 다음은?</strong>
<p>#문과대학 #K컬처스토리콘텐츠연구소 #국어국문학과 #한류</p>
</div>
</img></div>
</a>
</li>
<li class="snsW03">
<a href="https://blog.naver.com/khublog/222508923238" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo03.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855642107.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>
<p>#퍼가라옹 #해피추석</p>
</div>
</img></div>
</a>
</li>
<li class="snsW05" style="float: left; list-style: none; position: relative; width: 1160px;">
<a href="https://www.linkedin.com/feed/update/urn:li:activity:6844073067304497152" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo05.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855672626.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>
<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>
</div>
</img></div>
</a>
</li>
<li class="snsW02">
<a href="https://twitter.com/khuniv/status/1438371597635620864?s=20" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo02.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855558047.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>
<p>#UN #세계평화의날 #국제회의 #PBF</p>
</div>
</img></div>
</a>
</li>
</ul>
</div>
</section>,
<div class="container">
<ul class="snsIcoW clearfix">
<li class="sns06 on">
<a href="#">인스타그램</a><!--20210311 text 추가-->
</li>
<li class="sns04">
<a href="#">유튜브</a><!--20181217 text 추가-->
</li>
<li class="sns01">
<a href="#">페이스북</a><!--20181217 text 추가-->
</li>
<li class="sns03">
<a href="#">블로그</a><!--20181217 text 추가-->
</li>
<li class="sns05">
<a href="#">링크드인</a><!--20181217 text 추가-->
</li>
<li class="sns02">
<a href="#">트위터</a><!--20181217 text 추가-->
</li>
</ul>
<ul class="snsSlide">
<li class="snsW06">
<a href="https://www.instagram.com/p/CTy7MlNBKFB/?utm_source=ig_web_copy_link" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo06.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855520789.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>
<p>#코로나19 #이전 #경희생활</p>
</div>
</img></div>
</a>
</li>
<li class="snsW04">
<a href="https://youtu.be/yXy-UnaArXc" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo04.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855658002.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>
<p>#총장과의 #대화</p>
</div>
</img></div>
</a>
</li>
<li class="snsW01">
<a href="https://www.facebook.com/kyungheeuniv/posts/4770470646307788" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo01.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855541594.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 FOCUS] 욘사마, 싸이, BTS 다음은?</strong>
<p>#문과대학 #K컬처스토리콘텐츠연구소 #국어국문학과 #한류</p>
</div>
</img></div>
</a>
</li>
<li class="snsW03">
<a href="https://blog.naver.com/khublog/222508923238" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo03.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855642107.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>
<p>#퍼가라옹 #해피추석</p>
</div>
</img></div>
</a>
</li>
<li class="snsW05" style="float: left; list-style: none; position: relative; width: 1160px;">
<a href="https://www.linkedin.com/feed/update/urn:li:activity:6844073067304497152" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo05.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855672626.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>
<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>
</div>
</img></div>
</a>
</li>
<li class="snsW02">
<a href="https://twitter.com/khuniv/status/1438371597635620864?s=20" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo02.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855558047.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>
<p>#UN #세계평화의날 #국제회의 #PBF</p>
</div>
</img></div>
</a>
</li>
</ul>
</div>,
<ul class="snsIcoW clearfix">
<li class="sns06 on">
<a href="#">인스타그램</a><!--20210311 text 추가-->
</li>
<li class="sns04">
<a href="#">유튜브</a><!--20181217 text 추가-->
</li>
<li class="sns01">
<a href="#">페이스북</a><!--20181217 text 추가-->
</li>
<li class="sns03">
<a href="#">블로그</a><!--20181217 text 추가-->
</li>
<li class="sns05">
<a href="#">링크드인</a><!--20181217 text 추가-->
</li>
<li class="sns02">
<a href="#">트위터</a><!--20181217 text 추가-->
</li>
</ul>,
<li class="sns06 on">
<a href="#">인스타그램</a><!--20210311 text 추가-->
</li>,
<a href="#">인스타그램</a>,
<li class="sns04">
<a href="#">유튜브</a><!--20181217 text 추가-->
</li>,
<a href="#">유튜브</a>,
<li class="sns01">
<a href="#">페이스북</a><!--20181217 text 추가-->
</li>,
<a href="#">페이스북</a>,
<li class="sns03">
<a href="#">블로그</a><!--20181217 text 추가-->
</li>,
<a href="#">블로그</a>,
<li class="sns05">
<a href="#">링크드인</a><!--20181217 text 추가-->
</li>,
<a href="#">링크드인</a>,
<li class="sns02">
<a href="#">트위터</a><!--20181217 text 추가-->
</li>,
<a href="#">트위터</a>,
<ul class="snsSlide">
<li class="snsW06">
<a href="https://www.instagram.com/p/CTy7MlNBKFB/?utm_source=ig_web_copy_link" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo06.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855520789.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>
<p>#코로나19 #이전 #경희생활</p>
</div>
</img></div>
</a>
</li>
<li class="snsW04">
<a href="https://youtu.be/yXy-UnaArXc" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo04.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855658002.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>
<p>#총장과의 #대화</p>
</div>
</img></div>
</a>
</li>
<li class="snsW01">
<a href="https://www.facebook.com/kyungheeuniv/posts/4770470646307788" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo01.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855541594.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 FOCUS] 욘사마, 싸이, BTS 다음은?</strong>
<p>#문과대학 #K컬처스토리콘텐츠연구소 #국어국문학과 #한류</p>
</div>
</img></div>
</a>
</li>
<li class="snsW03">
<a href="https://blog.naver.com/khublog/222508923238" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo03.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855642107.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>
<p>#퍼가라옹 #해피추석</p>
</div>
</img></div>
</a>
</li>
<li class="snsW05" style="float: left; list-style: none; position: relative; width: 1160px;">
<a href="https://www.linkedin.com/feed/update/urn:li:activity:6844073067304497152" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo05.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855672626.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>
<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>
</div>
</img></div>
</a>
</li>
<li class="snsW02">
<a href="https://twitter.com/khuniv/status/1438371597635620864?s=20" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo02.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855558047.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>
<p>#UN #세계평화의날 #국제회의 #PBF</p>
</div>
</img></div>
</a>
</li>
</ul>,
<li class="snsW06">
<a href="https://www.instagram.com/p/CTy7MlNBKFB/?utm_source=ig_web_copy_link" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo06.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855520789.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>
<p>#코로나19 #이전 #경희생활</p>
</div>
</img></div>
</a>
</li>,
<a href="https://www.instagram.com/p/CTy7MlNBKFB/?utm_source=ig_web_copy_link" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo06.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855520789.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>
<p>#코로나19 #이전 #경희생활</p>
</div>
</img></div>
</a>,
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo06.jpg"/>,
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855520789.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>
<p>#코로나19 #이전 #경희생활</p>
</div>
</img></div>,
<img alt="" src="/kor/upload/catalog/catalog_file_1631855520789.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>
<p>#코로나19 #이전 #경희생활</p>
</div>
</img>,
<div class="txtW">
<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>
<p>#코로나19 #이전 #경희생활</p>
</div>,
<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>,
<p>#코로나19 #이전 #경희생활</p>,
<li class="snsW04">
<a href="https://youtu.be/yXy-UnaArXc" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo04.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855658002.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>
<p>#총장과의 #대화</p>
</div>
</img></div>
</a>
</li>,
<a href="https://youtu.be/yXy-UnaArXc" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo04.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855658002.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>
<p>#총장과의 #대화</p>
</div>
</img></div>
</a>,
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo04.jpg"/>,
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855658002.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>
<p>#총장과의 #대화</p>
</div>
</img></div>,
<img alt="" src="/kor/upload/catalog/catalog_file_1631855658002.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>
<p>#총장과의 #대화</p>
</div>
</img>,
<div class="txtW">
<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>
<p>#총장과의 #대화</p>
</div>,
<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>,
<p>#총장과의 #대화</p>,
<li class="snsW01">
<a href="https://www.facebook.com/kyungheeuniv/posts/4770470646307788" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo01.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855541594.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 FOCUS] 욘사마, 싸이, BTS 다음은?</strong>
<p>#문과대학 #K컬처스토리콘텐츠연구소 #국어국문학과 #한류</p>
</div>
</img></div>
</a>
</li>,
<a href="https://www.facebook.com/kyungheeuniv/posts/4770470646307788" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo01.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855541594.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 FOCUS] 욘사마, 싸이, BTS 다음은?</strong>
<p>#문과대학 #K컬처스토리콘텐츠연구소 #국어국문학과 #한류</p>
</div>
</img></div>
</a>,
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo01.jpg"/>,
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855541594.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 FOCUS] 욘사마, 싸이, BTS 다음은?</strong>
<p>#문과대학 #K컬처스토리콘텐츠연구소 #국어국문학과 #한류</p>
</div>
</img></div>,
<img alt="" src="/kor/upload/catalog/catalog_file_1631855541594.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 FOCUS] 욘사마, 싸이, BTS 다음은?</strong>
<p>#문과대학 #K컬처스토리콘텐츠연구소 #국어국문학과 #한류</p>
</div>
</img>,
<div class="txtW">
<strong>[경희 FOCUS] 욘사마, 싸이, BTS 다음은?</strong>
<p>#문과대학 #K컬처스토리콘텐츠연구소 #국어국문학과 #한류</p>
</div>,
<strong>[경희 FOCUS] 욘사마, 싸이, BTS 다음은?</strong>,
<p>#문과대학 #K컬처스토리콘텐츠연구소 #국어국문학과 #한류</p>,
<li class="snsW03">
<a href="https://blog.naver.com/khublog/222508923238" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo03.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855642107.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>
<p>#퍼가라옹 #해피추석</p>
</div>
</img></div>
</a>
</li>,
<a href="https://blog.naver.com/khublog/222508923238" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo03.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855642107.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>
<p>#퍼가라옹 #해피추석</p>
</div>
</img></div>
</a>,
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo03.jpg"/>,
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855642107.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>
<p>#퍼가라옹 #해피추석</p>
</div>
</img></div>,
<img alt="" src="/kor/upload/catalog/catalog_file_1631855642107.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>
<p>#퍼가라옹 #해피추석</p>
</div>
</img>,
<div class="txtW">
<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>
<p>#퍼가라옹 #해피추석</p>
</div>,
<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>,
<p>#퍼가라옹 #해피추석</p>,
<li class="snsW05" style="float: left; list-style: none; position: relative; width: 1160px;">
<a href="https://www.linkedin.com/feed/update/urn:li:activity:6844073067304497152" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo05.jpg"/>
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<img alt="" src="/kor/upload/catalog/catalog_file_1631855672626.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>
<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>
</div>
</img></div>
</a>
</li>,
<a href="https://www.linkedin.com/feed/update/urn:li:activity:6844073067304497152" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo05.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855672626.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>
<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>
</div>
</img></div>
</a>,
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo05.jpg"/>,
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855672626.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>
<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>
</div>
</img></div>,
<img alt="" src="/kor/upload/catalog/catalog_file_1631855672626.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>
<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>
</div>
</img>,
<div class="txtW">
<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>
<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>
</div>,
<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>,
<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>,
<li class="snsW02">
<a href="https://twitter.com/khuniv/status/1438371597635620864?s=20" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo02.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855558047.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>
<p>#UN #세계평화의날 #국제회의 #PBF</p>
</div>
</img></div>
</a>
</li>,
<a href="https://twitter.com/khuniv/status/1438371597635620864?s=20" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo02.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855558047.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>
<p>#UN #세계평화의날 #국제회의 #PBF</p>
</div>
</img></div>
</a>,
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo02.jpg"/>,
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855558047.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>
<p>#UN #세계평화의날 #국제회의 #PBF</p>
</div>
</img></div>,
<img alt="" src="/kor/upload/catalog/catalog_file_1631855558047.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>
<p>#UN #세계평화의날 #국제회의 #PBF</p>
</div>
</img>,
<div class="txtW">
<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>
<p>#UN #세계평화의날 #국제회의 #PBF</p>
</div>,
<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>,
<p>#UN #세계평화의날 #국제회의 #PBF</p>,
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</li>
<li>
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371737293.png"/></div>
<span>평생교육원/언어교육원</span>
</a>
</li>
<li>
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371761092.png"/></div>
<span>글로벌미래교육원</span>
</a>
</li>
<li>
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371785633.png"/></div>
<span>국제교육원</span>
</a>
</li>
<li>
<a href="http://clean.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371807725.png"/></div>
<span>부정청탁신고센터</span>
</a>
</li>
</ul>
</div>
</div>
</div>
</section>,
<div class="container">
<h2 class="mainTit01 fontMer">Quick Menu</h2>
<div class="tabType06">
<ul class="tab clearfix">
<li class="on">
<a href="#">학생(서울)</a>
</li>
<li>
<a href="#">학생(국제)</a>
</li>
<li>
<a href="#">교직원</a>
</li>
<li>
<a href="#">예비경희인</a>
</li>
<li>
<a href="#">일반인</a>
</li>
<li>
<a href="#">동문</a>
</li>
</ul>
<div class="tabCon first">
<ul class="mainList07 clearfix">
<li>
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531365031560.png"/></div>
<span>학생회</span>
</a>
</li>
<li>
<a href="https://e-campus.khu.ac.kr" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536820999734.png"/></div>
<span>e-campus</span>
</a>
</li>
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368893838.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>
<li>
<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368988001.png"/></div>
<span>장학/융자</span>
</a>
</li>
<li>
<a href="http://healthsc.khu.ac.kr/html_2014/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369031825.png"/></div>
<span>건강센터(서울)</span>
</a>
</li>
<li>
<a href="http://library.khu.ac.kr/seoul" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369085502.png"/></div>
<span>중앙도서관(서울)</span>
</a>
</li>
<li>
<a href="http://goodjob.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369120543.png"/></div>
<span>미래인재센터(서울)</span>
</a>
</li>
<li>
<a href="http://counsell.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369148025.png"/></div>
<span>심리상담연구소(서울)</span>
</a>
</li>
</ul>
</div>
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872062509.png"/></div>
<span>학생회</span>
</a>
</li>
<li>
<a href="https://e-campus.khu.ac.kr" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536821068214.png"/></div>
<span>e-campus</span>
</a>
</li>
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872114125.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>
<li>
<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872146586.png"/></div>
<span>장학/융자</span>
</a>
</li>
<li>
<a href="http://health.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872173593.png"/></div>
<span>건강센터(국제)</span>
</a>
</li>
<li>
<a href="http://library.khu.ac.kr/global" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872209533.png"/></div>
<span>중앙도서관(국제)</span>
</a>
</li>
<li>
<a href="http://goodjob.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872245144.png"/></div>
<span>미래인재센터(국제)</span>
</a>
</li>
<li>
<a href="http://counsel.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872274832.png"/></div>
<span>학생생활상담(국제)</span>
</a>
</li>
</ul>
</div>
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="http://clean.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369229822.png"/></div>
<span>부정청탁신고센터</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369248917.png"/></div>
<span>교내전화번호</span>
</a>
</li>
<li>
<a href="https://khctl.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369270415.png"/></div>
<span>교수학습지원센터</span>
</a>
</li>
<li>
<a href="http://khu.certpia.com" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369310465.png"/></div>
<span>교직원 증명발급센터</span>
</a>
</li>
<li>
<a href="http://rule.khu.ac.kr/lmxsrv/main/main.do" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369355982.png"/></div>
<span>규정관리시스템</span>
</a>
</li>
<li>
<a href="http://union.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370965900.png"/></div>
<span>노동조합</span>
</a>
</li>
<li>
<a href="http://info21.khu.ac.kr/placeRsv/fcspReservation2.html" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370990530.png"/></div>
<span>장소예약시스템</span>
</a>
</li>
<li>
<a href="http://k-recruit.khu.ac.kr/hjis2/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371013813.png"/></div>
<span>채용시스템</span>
</a>
</li>
</ul>
</div>
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222550986.png"/></div>
<span>GIVE경희</span>
</a>
</li>
<li>
<a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371209428.png"/></div>
<span>경희뉴스</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371231281.png"/></div>
<span>교내전화번호</span>
</a>
</li>
<li>
<a href="http://media.khu.ac.kr/khunews/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371253334.png"/></div>
<span>대학주보</span>
</a>
</li>
<li>
<a href="http://iphak.khu.ac.kr/intro.do" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371277917.png"/></div>
<span>입학처</span>
</a>
</li>
<li>
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371300338.png"/></div>
<span>중앙박물관</span>
</a>
</li>
<li>
<a href="http://khupress.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371320459.png"/></div>
<span>출판문화원</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371348101.png"/></div>
<span>캠퍼스안내</span>
</a>
</li>
</ul>
</div>
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222622456.png"/></div>
<span>GIVE경희</span>
</a>
</li>
<li>
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371416234.png"/></div>
<span>중앙박물관</span>
</a>
</li>
<li>
<a href="http://nhm.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371441890.png"/></div>
<span>자연사박물관</span>
</a>
</li>
<li>
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371497131.png"/></div>
<span>평생교육원</span>
</a>
</li>
<li>
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371526836.png"/></div>
<span>글로벌미래교육원</span>
</a>
</li>
<li>
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371550067.png"/></div>
<span>국제교육원</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371574258.png"/></div>
<span>교내전화번호</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371600431.png"/></div>
<span>캠퍼스안내</span>
</a>
</li>
</ul>
</div>
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222636928.png"/></div>
<span>GIVE경희</span>
</a>
</li>
<li>
<a href="http://oiak.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371666149.png"/></div>
<span>국제교류처</span>
</a>
</li>
<li>
<a href="http://www.khua.or.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371688920.png"/></div>
<span>총동문회</span>
</a>
</li>
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371713863.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>
<li>
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371737293.png"/></div>
<span>평생교육원/언어교육원</span>
</a>
</li>
<li>
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371761092.png"/></div>
<span>글로벌미래교육원</span>
</a>
</li>
<li>
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371785633.png"/></div>
<span>국제교육원</span>
</a>
</li>
<li>
<a href="http://clean.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371807725.png"/></div>
<span>부정청탁신고센터</span>
</a>
</li>
</ul>
</div>
</div>
</div>,
<h2 class="mainTit01 fontMer">Quick Menu</h2>,
<div class="tabType06">
<ul class="tab clearfix">
<li class="on">
<a href="#">학생(서울)</a>
</li>
<li>
<a href="#">학생(국제)</a>
</li>
<li>
<a href="#">교직원</a>
</li>
<li>
<a href="#">예비경희인</a>
</li>
<li>
<a href="#">일반인</a>
</li>
<li>
<a href="#">동문</a>
</li>
</ul>
<div class="tabCon first">
<ul class="mainList07 clearfix">
<li>
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531365031560.png"/></div>
<span>학생회</span>
</a>
</li>
<li>
<a href="https://e-campus.khu.ac.kr" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536820999734.png"/></div>
<span>e-campus</span>
</a>
</li>
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368893838.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>
<li>
<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368988001.png"/></div>
<span>장학/융자</span>
</a>
</li>
<li>
<a href="http://healthsc.khu.ac.kr/html_2014/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369031825.png"/></div>
<span>건강센터(서울)</span>
</a>
</li>
<li>
<a href="http://library.khu.ac.kr/seoul" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369085502.png"/></div>
<span>중앙도서관(서울)</span>
</a>
</li>
<li>
<a href="http://goodjob.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369120543.png"/></div>
<span>미래인재센터(서울)</span>
</a>
</li>
<li>
<a href="http://counsell.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369148025.png"/></div>
<span>심리상담연구소(서울)</span>
</a>
</li>
</ul>
</div>
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872062509.png"/></div>
<span>학생회</span>
</a>
</li>
<li>
<a href="https://e-campus.khu.ac.kr" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536821068214.png"/></div>
<span>e-campus</span>
</a>
</li>
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872114125.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>
<li>
<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872146586.png"/></div>
<span>장학/융자</span>
</a>
</li>
<li>
<a href="http://health.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872173593.png"/></div>
<span>건강센터(국제)</span>
</a>
</li>
<li>
<a href="http://library.khu.ac.kr/global" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872209533.png"/></div>
<span>중앙도서관(국제)</span>
</a>
</li>
<li>
<a href="http://goodjob.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872245144.png"/></div>
<span>미래인재센터(국제)</span>
</a>
</li>
<li>
<a href="http://counsel.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872274832.png"/></div>
<span>학생생활상담(국제)</span>
</a>
</li>
</ul>
</div>
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="http://clean.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369229822.png"/></div>
<span>부정청탁신고센터</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369248917.png"/></div>
<span>교내전화번호</span>
</a>
</li>
<li>
<a href="https://khctl.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369270415.png"/></div>
<span>교수학습지원센터</span>
</a>
</li>
<li>
<a href="http://khu.certpia.com" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369310465.png"/></div>
<span>교직원 증명발급센터</span>
</a>
</li>
<li>
<a href="http://rule.khu.ac.kr/lmxsrv/main/main.do" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369355982.png"/></div>
<span>규정관리시스템</span>
</a>
</li>
<li>
<a href="http://union.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370965900.png"/></div>
<span>노동조합</span>
</a>
</li>
<li>
<a href="http://info21.khu.ac.kr/placeRsv/fcspReservation2.html" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370990530.png"/></div>
<span>장소예약시스템</span>
</a>
</li>
<li>
<a href="http://k-recruit.khu.ac.kr/hjis2/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371013813.png"/></div>
<span>채용시스템</span>
</a>
</li>
</ul>
</div>
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222550986.png"/></div>
<span>GIVE경희</span>
</a>
</li>
<li>
<a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371209428.png"/></div>
<span>경희뉴스</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371231281.png"/></div>
<span>교내전화번호</span>
</a>
</li>
<li>
<a href="http://media.khu.ac.kr/khunews/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371253334.png"/></div>
<span>대학주보</span>
</a>
</li>
<li>
<a href="http://iphak.khu.ac.kr/intro.do" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371277917.png"/></div>
<span>입학처</span>
</a>
</li>
<li>
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371300338.png"/></div>
<span>중앙박물관</span>
</a>
</li>
<li>
<a href="http://khupress.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371320459.png"/></div>
<span>출판문화원</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371348101.png"/></div>
<span>캠퍼스안내</span>
</a>
</li>
</ul>
</div>
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222622456.png"/></div>
<span>GIVE경희</span>
</a>
</li>
<li>
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371416234.png"/></div>
<span>중앙박물관</span>
</a>
</li>
<li>
<a href="http://nhm.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371441890.png"/></div>
<span>자연사박물관</span>
</a>
</li>
<li>
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371497131.png"/></div>
<span>평생교육원</span>
</a>
</li>
<li>
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371526836.png"/></div>
<span>글로벌미래교육원</span>
</a>
</li>
<li>
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371550067.png"/></div>
<span>국제교육원</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371574258.png"/></div>
<span>교내전화번호</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371600431.png"/></div>
<span>캠퍼스안내</span>
</a>
</li>
</ul>
</div>
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222636928.png"/></div>
<span>GIVE경희</span>
</a>
</li>
<li>
<a href="http://oiak.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371666149.png"/></div>
<span>국제교류처</span>
</a>
</li>
<li>
<a href="http://www.khua.or.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371688920.png"/></div>
<span>총동문회</span>
</a>
</li>
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371713863.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>
<li>
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371737293.png"/></div>
<span>평생교육원/언어교육원</span>
</a>
</li>
<li>
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371761092.png"/></div>
<span>글로벌미래교육원</span>
</a>
</li>
<li>
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371785633.png"/></div>
<span>국제교육원</span>
</a>
</li>
<li>
<a href="http://clean.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371807725.png"/></div>
<span>부정청탁신고센터</span>
</a>
</li>
</ul>
</div>
</div>,
<ul class="tab clearfix">
<li class="on">
<a href="#">학생(서울)</a>
</li>
<li>
<a href="#">학생(국제)</a>
</li>
<li>
<a href="#">교직원</a>
</li>
<li>
<a href="#">예비경희인</a>
</li>
<li>
<a href="#">일반인</a>
</li>
<li>
<a href="#">동문</a>
</li>
</ul>,
<li class="on">
<a href="#">학생(서울)</a>
</li>,
<a href="#">학생(서울)</a>,
<li>
<a href="#">학생(국제)</a>
</li>,
<a href="#">학생(국제)</a>,
<li>
<a href="#">교직원</a>
</li>,
<a href="#">교직원</a>,
<li>
<a href="#">예비경희인</a>
</li>,
<a href="#">예비경희인</a>,
<li>
<a href="#">일반인</a>
</li>,
<a href="#">일반인</a>,
<li>
<a href="#">동문</a>
</li>,
<a href="#">동문</a>,
<div class="tabCon first">
<ul class="mainList07 clearfix">
<li>
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531365031560.png"/></div>
<span>학생회</span>
</a>
</li>
<li>
<a href="https://e-campus.khu.ac.kr" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536820999734.png"/></div>
<span>e-campus</span>
</a>
</li>
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368893838.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>
<li>
<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368988001.png"/></div>
<span>장학/융자</span>
</a>
</li>
<li>
<a href="http://healthsc.khu.ac.kr/html_2014/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369031825.png"/></div>
<span>건강센터(서울)</span>
</a>
</li>
<li>
<a href="http://library.khu.ac.kr/seoul" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369085502.png"/></div>
<span>중앙도서관(서울)</span>
</a>
</li>
<li>
<a href="http://goodjob.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369120543.png"/></div>
<span>미래인재센터(서울)</span>
</a>
</li>
<li>
<a href="http://counsell.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369148025.png"/></div>
<span>심리상담연구소(서울)</span>
</a>
</li>
</ul>
</div>,
<ul class="mainList07 clearfix">
<li>
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531365031560.png"/></div>
<span>학생회</span>
</a>
</li>
<li>
<a href="https://e-campus.khu.ac.kr" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536820999734.png"/></div>
<span>e-campus</span>
</a>
</li>
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368893838.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>
<li>
<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368988001.png"/></div>
<span>장학/융자</span>
</a>
</li>
<li>
<a href="http://healthsc.khu.ac.kr/html_2014/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369031825.png"/></div>
<span>건강센터(서울)</span>
</a>
</li>
<li>
<a href="http://library.khu.ac.kr/seoul" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369085502.png"/></div>
<span>중앙도서관(서울)</span>
</a>
</li>
<li>
<a href="http://goodjob.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369120543.png"/></div>
<span>미래인재센터(서울)</span>
</a>
</li>
<li>
<a href="http://counsell.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369148025.png"/></div>
<span>심리상담연구소(서울)</span>
</a>
</li>
</ul>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531365031560.png"/></div>
<span>학생회</span>
</a>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531365031560.png"/></div>
<span>학생회</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531365031560.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531365031560.png"/>,
<span>학생회</span>,
<li>
<a href="https://e-campus.khu.ac.kr" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536820999734.png"/></div>
<span>e-campus</span>
</a>
</li>,
<a href="https://e-campus.khu.ac.kr" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536820999734.png"/></div>
<span>e-campus</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536820999734.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1536820999734.png"/>,
<span>e-campus</span>,
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368893838.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>,
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368893838.png"/></div>
<span>인터넷 증명발급센터</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368893838.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531368893838.png"/>,
<span>인터넷 증명발급센터</span>,
<li>
<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368988001.png"/></div>
<span>장학/융자</span>
</a>
</li>,
<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368988001.png"/></div>
<span>장학/융자</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368988001.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531368988001.png"/>,
<span>장학/융자</span>,
<li>
<a href="http://healthsc.khu.ac.kr/html_2014/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369031825.png"/></div>
<span>건강센터(서울)</span>
</a>
</li>,
<a href="http://healthsc.khu.ac.kr/html_2014/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369031825.png"/></div>
<span>건강센터(서울)</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369031825.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531369031825.png"/>,
<span>건강센터(서울)</span>,
<li>
<a href="http://library.khu.ac.kr/seoul" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369085502.png"/></div>
<span>중앙도서관(서울)</span>
</a>
</li>,
<a href="http://library.khu.ac.kr/seoul" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369085502.png"/></div>
<span>중앙도서관(서울)</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369085502.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531369085502.png"/>,
<span>중앙도서관(서울)</span>,
<li>
<a href="http://goodjob.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369120543.png"/></div>
<span>미래인재센터(서울)</span>
</a>
</li>,
<a href="http://goodjob.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369120543.png"/></div>
<span>미래인재센터(서울)</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369120543.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531369120543.png"/>,
<span>미래인재센터(서울)</span>,
<li>
<a href="http://counsell.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369148025.png"/></div>
<span>심리상담연구소(서울)</span>
</a>
</li>,
<a href="http://counsell.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369148025.png"/></div>
<span>심리상담연구소(서울)</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369148025.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531369148025.png"/>,
<span>심리상담연구소(서울)</span>,
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872062509.png"/></div>
<span>학생회</span>
</a>
</li>
<li>
<a href="https://e-campus.khu.ac.kr" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536821068214.png"/></div>
<span>e-campus</span>
</a>
</li>
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872114125.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>
<li>
<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872146586.png"/></div>
<span>장학/융자</span>
</a>
</li>
<li>
<a href="http://health.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872173593.png"/></div>
<span>건강센터(국제)</span>
</a>
</li>
<li>
<a href="http://library.khu.ac.kr/global" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872209533.png"/></div>
<span>중앙도서관(국제)</span>
</a>
</li>
<li>
<a href="http://goodjob.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872245144.png"/></div>
<span>미래인재센터(국제)</span>
</a>
</li>
<li>
<a href="http://counsel.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872274832.png"/></div>
<span>학생생활상담(국제)</span>
</a>
</li>
</ul>
</div>,
<ul class="mainList07 clearfix">
<li>
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872062509.png"/></div>
<span>학생회</span>
</a>
</li>
<li>
<a href="https://e-campus.khu.ac.kr" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536821068214.png"/></div>
<span>e-campus</span>
</a>
</li>
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872114125.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>
<li>
<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872146586.png"/></div>
<span>장학/융자</span>
</a>
</li>
<li>
<a href="http://health.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872173593.png"/></div>
<span>건강센터(국제)</span>
</a>
</li>
<li>
<a href="http://library.khu.ac.kr/global" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872209533.png"/></div>
<span>중앙도서관(국제)</span>
</a>
</li>
<li>
<a href="http://goodjob.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872245144.png"/></div>
<span>미래인재센터(국제)</span>
</a>
</li>
<li>
<a href="http://counsel.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872274832.png"/></div>
<span>학생생활상담(국제)</span>
</a>
</li>
</ul>,
<li>
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872062509.png"/></div>
<span>학생회</span>
</a>
</li>,
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872062509.png"/></div>
<span>학생회</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872062509.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531872062509.png"/>,
<span>학생회</span>,
<li>
<a href="https://e-campus.khu.ac.kr" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536821068214.png"/></div>
<span>e-campus</span>
</a>
</li>,
<a href="https://e-campus.khu.ac.kr" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536821068214.png"/></div>
<span>e-campus</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536821068214.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1536821068214.png"/>,
<span>e-campus</span>,
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872114125.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>,
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872114125.png"/></div>
<span>인터넷 증명발급센터</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872114125.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531872114125.png"/>,
<span>인터넷 증명발급센터</span>,
<li>
<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872146586.png"/></div>
<span>장학/융자</span>
</a>
</li>,
<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872146586.png"/></div>
<span>장학/융자</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872146586.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531872146586.png"/>,
<span>장학/융자</span>,
<li>
<a href="http://health.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872173593.png"/></div>
<span>건강센터(국제)</span>
</a>
</li>,
<a href="http://health.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872173593.png"/></div>
<span>건강센터(국제)</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872173593.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531872173593.png"/>,
<span>건강센터(국제)</span>,
<li>
<a href="http://library.khu.ac.kr/global" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872209533.png"/></div>
<span>중앙도서관(국제)</span>
</a>
</li>,
<a href="http://library.khu.ac.kr/global" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872209533.png"/></div>
<span>중앙도서관(국제)</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872209533.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531872209533.png"/>,
<span>중앙도서관(국제)</span>,
<li>
<a href="http://goodjob.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872245144.png"/></div>
<span>미래인재센터(국제)</span>
</a>
</li>,
<a href="http://goodjob.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872245144.png"/></div>
<span>미래인재센터(국제)</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872245144.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531872245144.png"/>,
<span>미래인재센터(국제)</span>,
<li>
<a href="http://counsel.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872274832.png"/></div>
<span>학생생활상담(국제)</span>
</a>
</li>,
<a href="http://counsel.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872274832.png"/></div>
<span>학생생활상담(국제)</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872274832.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531872274832.png"/>,
<span>학생생활상담(국제)</span>,
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="http://clean.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369229822.png"/></div>
<span>부정청탁신고센터</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369248917.png"/></div>
<span>교내전화번호</span>
</a>
</li>
<li>
<a href="https://khctl.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369270415.png"/></div>
<span>교수학습지원센터</span>
</a>
</li>
<li>
<a href="http://khu.certpia.com" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369310465.png"/></div>
<span>교직원 증명발급센터</span>
</a>
</li>
<li>
<a href="http://rule.khu.ac.kr/lmxsrv/main/main.do" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369355982.png"/></div>
<span>규정관리시스템</span>
</a>
</li>
<li>
<a href="http://union.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370965900.png"/></div>
<span>노동조합</span>
</a>
</li>
<li>
<a href="http://info21.khu.ac.kr/placeRsv/fcspReservation2.html" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370990530.png"/></div>
<span>장소예약시스템</span>
</a>
</li>
<li>
<a href="http://k-recruit.khu.ac.kr/hjis2/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371013813.png"/></div>
<span>채용시스템</span>
</a>
</li>
</ul>
</div>,
<ul class="mainList07 clearfix">
<li>
<a href="http://clean.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369229822.png"/></div>
<span>부정청탁신고센터</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369248917.png"/></div>
<span>교내전화번호</span>
</a>
</li>
<li>
<a href="https://khctl.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369270415.png"/></div>
<span>교수학습지원센터</span>
</a>
</li>
<li>
<a href="http://khu.certpia.com" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369310465.png"/></div>
<span>교직원 증명발급센터</span>
</a>
</li>
<li>
<a href="http://rule.khu.ac.kr/lmxsrv/main/main.do" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369355982.png"/></div>
<span>규정관리시스템</span>
</a>
</li>
<li>
<a href="http://union.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370965900.png"/></div>
<span>노동조합</span>
</a>
</li>
<li>
<a href="http://info21.khu.ac.kr/placeRsv/fcspReservation2.html" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370990530.png"/></div>
<span>장소예약시스템</span>
</a>
</li>
<li>
<a href="http://k-recruit.khu.ac.kr/hjis2/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371013813.png"/></div>
<span>채용시스템</span>
</a>
</li>
</ul>,
<li>
<a href="http://clean.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369229822.png"/></div>
<span>부정청탁신고센터</span>
</a>
</li>,
<a href="http://clean.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369229822.png"/></div>
<span>부정청탁신고센터</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369229822.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531369229822.png"/>,
<span>부정청탁신고센터</span>,
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369248917.png"/></div>
<span>교내전화번호</span>
</a>
</li>,
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369248917.png"/></div>
<span>교내전화번호</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369248917.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531369248917.png"/>,
<span>교내전화번호</span>,
<li>
<a href="https://khctl.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369270415.png"/></div>
<span>교수학습지원센터</span>
</a>
</li>,
<a href="https://khctl.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369270415.png"/></div>
<span>교수학습지원센터</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369270415.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531369270415.png"/>,
<span>교수학습지원센터</span>,
<li>
<a href="http://khu.certpia.com" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369310465.png"/></div>
<span>교직원 증명발급센터</span>
</a>
</li>,
<a href="http://khu.certpia.com" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369310465.png"/></div>
<span>교직원 증명발급센터</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369310465.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531369310465.png"/>,
<span>교직원 증명발급센터</span>,
<li>
<a href="http://rule.khu.ac.kr/lmxsrv/main/main.do" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369355982.png"/></div>
<span>규정관리시스템</span>
</a>
</li>,
<a href="http://rule.khu.ac.kr/lmxsrv/main/main.do" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369355982.png"/></div>
<span>규정관리시스템</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369355982.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531369355982.png"/>,
<span>규정관리시스템</span>,
<li>
<a href="http://union.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370965900.png"/></div>
<span>노동조합</span>
</a>
</li>,
<a href="http://union.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370965900.png"/></div>
<span>노동조합</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370965900.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531370965900.png"/>,
<span>노동조합</span>,
<li>
<a href="http://info21.khu.ac.kr/placeRsv/fcspReservation2.html" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370990530.png"/></div>
<span>장소예약시스템</span>
</a>
</li>,
<a href="http://info21.khu.ac.kr/placeRsv/fcspReservation2.html" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370990530.png"/></div>
<span>장소예약시스템</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370990530.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531370990530.png"/>,
<span>장소예약시스템</span>,
<li>
<a href="http://k-recruit.khu.ac.kr/hjis2/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371013813.png"/></div>
<span>채용시스템</span>
</a>
</li>,
<a href="http://k-recruit.khu.ac.kr/hjis2/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371013813.png"/></div>
<span>채용시스템</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371013813.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531371013813.png"/>,
<span>채용시스템</span>,
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222550986.png"/></div>
<span>GIVE경희</span>
</a>
</li>
<li>
<a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371209428.png"/></div>
<span>경희뉴스</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371231281.png"/></div>
<span>교내전화번호</span>
</a>
</li>
<li>
<a href="http://media.khu.ac.kr/khunews/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371253334.png"/></div>
<span>대학주보</span>
</a>
</li>
<li>
<a href="http://iphak.khu.ac.kr/intro.do" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371277917.png"/></div>
<span>입학처</span>
</a>
</li>
<li>
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371300338.png"/></div>
<span>중앙박물관</span>
</a>
</li>
<li>
<a href="http://khupress.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371320459.png"/></div>
<span>출판문화원</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371348101.png"/></div>
<span>캠퍼스안내</span>
</a>
</li>
</ul>
</div>,
<ul class="mainList07 clearfix">
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222550986.png"/></div>
<span>GIVE경희</span>
</a>
</li>
<li>
<a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371209428.png"/></div>
<span>경희뉴스</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371231281.png"/></div>
<span>교내전화번호</span>
</a>
</li>
<li>
<a href="http://media.khu.ac.kr/khunews/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371253334.png"/></div>
<span>대학주보</span>
</a>
</li>
<li>
<a href="http://iphak.khu.ac.kr/intro.do" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371277917.png"/></div>
<span>입학처</span>
</a>
</li>
<li>
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371300338.png"/></div>
<span>중앙박물관</span>
</a>
</li>
<li>
<a href="http://khupress.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371320459.png"/></div>
<span>출판문화원</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371348101.png"/></div>
<span>캠퍼스안내</span>
</a>
</li>
</ul>,
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222550986.png"/></div>
<span>GIVE경희</span>
</a>
</li>,
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222550986.png"/></div>
<span>GIVE경희</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222550986.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1586222550986.png"/>,
<span>GIVE경희</span>,
<li>
<a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371209428.png"/></div>
<span>경희뉴스</span>
</a>
</li>,
<a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371209428.png"/></div>
<span>경희뉴스</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371209428.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531371209428.png"/>,
<span>경희뉴스</span>,
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371231281.png"/></div>
<span>교내전화번호</span>
</a>
</li>,
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371231281.png"/></div>
<span>교내전화번호</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371231281.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531371231281.png"/>,
<span>교내전화번호</span>,
<li>
<a href="http://media.khu.ac.kr/khunews/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371253334.png"/></div>
<span>대학주보</span>
</a>
</li>,
<a href="http://media.khu.ac.kr/khunews/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371253334.png"/></div>
<span>대학주보</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371253334.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531371253334.png"/>,
<span>대학주보</span>,
<li>
<a href="http://iphak.khu.ac.kr/intro.do" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371277917.png"/></div>
<span>입학처</span>
</a>
</li>,
<a href="http://iphak.khu.ac.kr/intro.do" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371277917.png"/></div>
<span>입학처</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371277917.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531371277917.png"/>,
<span>입학처</span>,
<li>
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371300338.png"/></div>
<span>중앙박물관</span>
</a>
</li>,
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371300338.png"/></div>
<span>중앙박물관</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371300338.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531371300338.png"/>,
<span>중앙박물관</span>,
<li>
<a href="http://khupress.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371320459.png"/></div>
<span>출판문화원</span>
</a>
</li>,
<a href="http://khupress.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371320459.png"/></div>
<span>출판문화원</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371320459.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531371320459.png"/>,
<span>출판문화원</span>,
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371348101.png"/></div>
<span>캠퍼스안내</span>
</a>
</li>,
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371348101.png"/></div>
<span>캠퍼스안내</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371348101.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531371348101.png"/>,
<span>캠퍼스안내</span>,
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222622456.png"/></div>
<span>GIVE경희</span>
</a>
</li>
<li>
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371416234.png"/></div>
<span>중앙박물관</span>
</a>
</li>
<li>
<a href="http://nhm.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371441890.png"/></div>
<span>자연사박물관</span>
</a>
</li>
<li>
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371497131.png"/></div>
<span>평생교육원</span>
</a>
</li>
<li>
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371526836.png"/></div>
<span>글로벌미래교육원</span>
</a>
</li>
<li>
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371550067.png"/></div>
<span>국제교육원</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371574258.png"/></div>
<span>교내전화번호</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371600431.png"/></div>
<span>캠퍼스안내</span>
</a>
</li>
</ul>
</div>,
<ul class="mainList07 clearfix">
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222622456.png"/></div>
<span>GIVE경희</span>
</a>
</li>
<li>
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371416234.png"/></div>
<span>중앙박물관</span>
</a>
</li>
<li>
<a href="http://nhm.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371441890.png"/></div>
<span>자연사박물관</span>
</a>
</li>
<li>
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371497131.png"/></div>
<span>평생교육원</span>
</a>
</li>
<li>
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371526836.png"/></div>
<span>글로벌미래교육원</span>
</a>
</li>
<li>
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371550067.png"/></div>
<span>국제교육원</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371574258.png"/></div>
<span>교내전화번호</span>
</a>
</li>
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371600431.png"/></div>
<span>캠퍼스안내</span>
</a>
</li>
</ul>,
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222622456.png"/></div>
<span>GIVE경희</span>
</a>
</li>,
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222622456.png"/></div>
<span>GIVE경희</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222622456.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1586222622456.png"/>,
<span>GIVE경희</span>,
<li>
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371416234.png"/></div>
<span>중앙박물관</span>
</a>
</li>,
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371416234.png"/></div>
<span>중앙박물관</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371416234.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531371416234.png"/>,
<span>중앙박물관</span>,
<li>
<a href="http://nhm.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371441890.png"/></div>
<span>자연사박물관</span>
</a>
</li>,
<a href="http://nhm.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371441890.png"/></div>
<span>자연사박물관</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371441890.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531371441890.png"/>,
<span>자연사박물관</span>,
<li>
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371497131.png"/></div>
<span>평생교육원</span>
</a>
</li>,
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371497131.png"/></div>
<span>평생교육원</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371497131.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531371497131.png"/>,
<span>평생교육원</span>,
<li>
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371526836.png"/></div>
<span>글로벌미래교육원</span>
</a>
</li>,
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371526836.png"/></div>
<span>글로벌미래교육원</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371526836.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531371526836.png"/>,
<span>글로벌미래교육원</span>,
<li>
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371550067.png"/></div>
<span>국제교육원</span>
</a>
</li>,
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371550067.png"/></div>
<span>국제교육원</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371550067.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531371550067.png"/>,
<span>국제교육원</span>,
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371574258.png"/></div>
<span>교내전화번호</span>
</a>
</li>,
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371574258.png"/></div>
<span>교내전화번호</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371574258.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531371574258.png"/>,
<span>교내전화번호</span>,
<li>
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371600431.png"/></div>
<span>캠퍼스안내</span>
</a>
</li>,
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371600431.png"/></div>
<span>캠퍼스안내</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371600431.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1531371600431.png"/>,
<span>캠퍼스안내</span>,
<div class="tabCon">
<ul class="mainList07 clearfix">
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222636928.png"/></div>
<span>GIVE경희</span>
</a>
</li>
<li>
<a href="http://oiak.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371666149.png"/></div>
<span>국제교류처</span>
</a>
</li>
<li>
<a href="http://www.khua.or.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371688920.png"/></div>
<span>총동문회</span>
</a>
</li>
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371713863.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>
<li>
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371737293.png"/></div>
<span>평생교육원/언어교육원</span>
</a>
</li>
<li>
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371761092.png"/></div>
<span>글로벌미래교육원</span>
</a>
</li>
<li>
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371785633.png"/></div>
<span>국제교육원</span>
</a>
</li>
<li>
<a href="http://clean.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371807725.png"/></div>
<span>부정청탁신고센터</span>
</a>
</li>
</ul>
</div>,
<ul class="mainList07 clearfix">
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222636928.png"/></div>
<span>GIVE경희</span>
</a>
</li>
<li>
<a href="http://oiak.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371666149.png"/></div>
<span>국제교류처</span>
</a>
</li>
<li>
<a href="http://www.khua.or.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371688920.png"/></div>
<span>총동문회</span>
</a>
</li>
<li>
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371713863.png"/></div>
<span>인터넷 증명발급센터</span>
</a>
</li>
<li>
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371737293.png"/></div>
<span>평생교육원/언어교육원</span>
</a>
</li>
<li>
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371761092.png"/></div>
<span>글로벌미래교육원</span>
</a>
</li>
<li>
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371785633.png"/></div>
<span>국제교육원</span>
</a>
</li>
<li>
<a href="http://clean.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371807725.png"/></div>
<span>부정청탁신고센터</span>
</a>
</li>
</ul>,
<li>
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222636928.png"/></div>
<span>GIVE경희</span>
</a>
</li>,
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222636928.png"/></div>
<span>GIVE경희</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222636928.png"/></div>,
<img alt="" src="/kor/upload/link/link_normalImage_1586222636928.png"/>,
<span>GIVE경희</span>,
<li>
<a href="http://oiak.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371666149.png"/></div>
<span>국제교류처</span>
</a>
</li>,
<a href="http://oiak.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371666149.png"/></div>
<span>국제교류처</span>
</a>,
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371666149.png"/></div>,
...]
l = c.find_all("a") #a태그만 가져오기
l
[<a href="#contents">본문 바로가기</a>,
<a href="/kor/main/index.do"><img alt="경희대학교" class="pc" src="/kor/resources/user/img/pc/common/logo.png"/><img alt="경희대학교" class="mobile" src="/kor/resources/user/img/mobile/common/logo.jpg"/></a>,
<a href="javascript:void(0);" id="GNB01" onclick="goFirstLink(this);">대학</a>,
<a href="/kor/sub/content.do?MENU_SEQ=124" target="_self">경희정신</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=2147840" target="_self">창학정신</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=163" target="_self">상징</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=183" target="_self">UI</a>,
<a href="/kor/sub/content.do?MENU_SEQ=184" target="_self">미래전략</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=185" target="_self">연혁</a>,
<a href="/kor/sub/content.do?MENU_SEQ=2146987" target="_self">학교법인 경희학원</a>,
<a href="/kor/prsd/index.do" target="_self">총장실</a>,
<a href="/kor/sub/content.do?MENU_SEQ=2135081" target="_self">인사말</a>,
<a href="/kor/sub/content.do?MENU_SEQ=2135077" target="_self">약력</a>,
<a href="/kor/speeches/list.do?page=1" target="_self">연설</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=2145271" target="_self">영상 메시지</a>,
<a href="/kor/sub/board.do?MENU_SEQ=2136729" target="_self">서신</a>,
<a href="/kor/newsClipping/list.do?year=2020" target="_self">뉴스클리핑</a>,
<a href="/kor/situation/list.do?page=1" target="_self">동정</a>,
<a href="/kor/prsdHistory/list.do?page=1" target="_self">역대총장</a>,
<a href="/kor/prsdInquiry/list.do?page=1" target="_self">열린 총장실</a>,
<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">대학행정</a>,
<a href="/kor/sub/content.do?MENU_SEQ=2147593" target="_self">기구표</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=189" target="_self">부총장실</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=190" target="_self">교무위원</a>,
<a href="/kor/sub/content.do?MENU_SEQ=191" target="_self">대학본부</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=192" target="_self">부속기관/연구소/기타기관</a>,
<a href="/kor/sub/content.do?MENU_SEQ=193" target="_self">부속병원</a>,
<a href="/kor/sub/content.do?MENU_SEQ=194" target="_self">위원회</a>,
<a href="/kor/sub/content.do?MENU_SEQ=196" target="_self">대학현황</a>,
<a href="/kor/sub/content.do?MENU_SEQ=197" target="_self">대학정보공시</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=198" target="_self">대학정보공개</a>,
<a href="/kor/sub/board.do?MENU_SEQ=199" target="_self">예결산공고</a>,
<a href="/kor/sub/board.do?MENU_SEQ=2128541" target="_self">업무추진비</a>,
<a href="/kor/sub/content.do?MENU_SEQ=200" target="_self">규정/요람</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">캠퍼스안내</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_self">서울캠퍼스</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=278" target="_self">국제캠퍼스</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=203" target="_self">광릉캠퍼스</a>,
<a href="/kor/sub/content.do?MENU_SEQ=204" target="_self">Space 21</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_self">교내 전화번호</a>,
<a href="javascript:void(0);" id="GNB02" onclick="goFirstLink(this);">입학</a>,
<a href="/kor/sub/content.do?MENU_SEQ=302" target="_self">대학 입학/편입학</a>,
<a href="/kor/sub/content.do?MENU_SEQ=305" target="_self">대학원 입학</a>,
<a href="/kor/sub/content.do?MENU_SEQ=308" target="_self">외국인 입학</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=311" target="_self">언어·문화교육</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=313" target="_self">교육기관</a>,
<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>,
<a href="/kor/sub/content.do?MENU_SEQ=2148586" target="_self">평생교육</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=2148599" target="_self">교육기관</a>,
<a href="javascript:void(0);" id="GNB03" onclick="goFirstLink(this);">교육</a>,
<a href="/kor/sub/content.do?MENU_SEQ=321" target="_self">대학</a>,
<a href="/kor/sub/content.do?MENU_SEQ=323" target="_self">대학원</a>,
<a href="/kor/sub/content.do?MENU_SEQ=325" target="_self">후마니타스칼리지</a>,
<a href="/kor/edu/list.do" target="_self">교원검색</a>,
<a href="/kor/sub/content.do?MENU_SEQ=327" target="_self">학사</a>,
<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">교육지원사업</a>,
<a href="/kor/sub/content.do?MENU_SEQ=2131814" target="_self">대학혁신지원사업</a>,
<a href="/kor/sub/content.do?MENU_SEQ=346" target="_self">수도권 대학특성화 사업</a>,
<a href="/kor/sub/content.do?MENU_SEQ=348" target="_self">학부교육 선진화 선도대학 지원사업</a>,
<a href="/kor/sub/content.do?MENU_SEQ=350" target="_self">교육역량강화 지원사업</a>,
<a href="javascript:void(0);" id="GNB04" onclick="goFirstLink(this);">연구/산학</a>,
<a href="/kor/sub/content.do?MENU_SEQ=352" target="_self">학술진흥 2020</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">신임교원</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=2100730" target="_self">2016년</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=2100728" target="_self">2017년</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=2134612" target="_self">2018년</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=2136684" target="_self">2019년</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">연구기관</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=357" target="_self">국가지원연구센터</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=359" target="_self">부설연구소</a>,
<a href="/kor/sub/content.do?MENU_SEQ=361" target="_self">위원회</a>,
<a href="/kor/sub/content.do?MENU_SEQ=363" target="_self">연구지원</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">대형연구</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=366" target="_self">BK21 플러스 사업</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=368" target="_self">WCU사업</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=370" target="_self">BK21 사업</a>,
<a href="/kor/sub/content.do?MENU_SEQ=372" target="_self">HK 사업</a>,
<a href="/kor/sub/content.do?MENU_SEQ=374" target="_self">TLO 사업</a>,
<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">명예의 전당</a>,
<a href="/kor/sub/content.do?MENU_SEQ=377" target="_self">목련상</a>,
<a href="/kor/sub/content.do?MENU_SEQ=379" target="_self">경희 Fellow</a>,
<a href="/kor/sub/content.do?MENU_SEQ=2147437" target="_self">연구포털</a>,
<a href="javascript:void(0);" id="GNB05" onclick="goFirstLink(this);">교류/실천</a>,
<a href="/kor/sub/content.do?MENU_SEQ=434" target="_self">경희와 인류평화</a>,
<a href="/kor/sub/content.do?MENU_SEQ=437" target="_self">World Civic Forum</a>,
<a href="/kor/sub/content.do?MENU_SEQ=439" target="_self">UNAI-경희 국제회의</a>,
<a href="/kor/sub/content.do?MENU_SEQ=441" target="_self">UN평화공원</a>,
<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">사회공헌</a>,
<a href="/kor/sub/content.do?MENU_SEQ=444" target="_self">글로벌봉사팀</a>,
<a href="/kor/sub/content.do?MENU_SEQ=447" target="_self">봉사단체</a>,
<a href="/kor/sub/content.do?MENU_SEQ=449" target="_self">국제 교류</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=452" target="_self">국제 교류 프로그램</a>,
<a href="/kor/sub/content.do?MENU_SEQ=454" target="_self">해외 자매대학</a>,
<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">특별강연</a>,
<a href="/kor/sub/content.do?MENU_SEQ=457" target="_self">미원렉처</a>,
<a href="/kor/sub/content.do?MENU_SEQ=459" target="_self">석학초청특강</a>,
<a href="/kor/sub/content.do?MENU_SEQ=461" target="_self">21세기 미래대학을 말한다</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">행사</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=464" target="_self">Peace BAR Festival</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=466" target="_self">목련회의</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=468" target="_self">목련예술제</a>,
<a href="/kor/sub/content.do?MENU_SEQ=470" target="_self">졸업식</a>,
<a href="/kor/sub/content.do?MENU_SEQ=472" target="_self">입학식</a>,
<a href="javascript:void(0);" id="GNB06" onclick="goFirstLink(this);">대학생활</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=527" target="_self">학생지원</a>,
<a href="/kor/sub/content.do?MENU_SEQ=2108143" target="_self">학생지원센터</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=529" target="_self">미래인재센터</a>,
<a href="/kor/sub/content.do?MENU_SEQ=534" target="_self">장애학생지원센터</a>,
<a href="/kor/sub/content.do?MENU_SEQ=532" target="_self">국제교류처 외국인지원팀</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=2000022" target="_self">의료기관 진료혜택</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=2138117" target="_self">제증명 서비스</a>,
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_self">총학생회</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=538" target="_self">동아리</a>,
<a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a>,
<a href="/kor/sub/content.do?MENU_SEQ=541" target="_self">장학</a>,
<a href="/kor/sub/content.do?MENU_SEQ=543" target="_self">네오르네상스장학</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">도서관/박물관</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=546" target="_self">중앙도서관</a>,
<a href="/kor/sub/content.do?MENU_SEQ=548" target="_self">중앙박물관</a>,
<a href="/kor/sub/content.do?MENU_SEQ=549" target="_self">자연사박물관</a>,
<a href="/kor/sub/content.do?MENU_SEQ=551" target="_self">혜정박물관</a>,
<a href="/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">경희 역사 갤러리</a>,
<a href="/kor/sub/content.do?MENU_SEQ=555" target="_self">정보서비스</a>,
<a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">커뮤니티</a>,
<a href="/kor/notice/list.do?category=GENERAL&page=1" target="_self">공지사항</a>,
<a href="/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1" target="_self">커뮤니케이션 21</a>,
<a href="/kor/forum/list.do?type=TUITION&category=NOTICE&page=1" target="_self">경희포럼</a>,
<a href="/kor/wine/form.do" target="_self">경희와인</a>,
<a href="/kor/vote/form.do" target="_self">경희 Survey</a>,
<a href="/kor/competitionName/form.do" target="_self">경희 공모전</a>,
<a href="/kor/sub/content.do?MENU_SEQ=564" target="_self">경희미디어</a>,
<a href="/kor/focus/list.do?page=1&pageSize=5" target="_self">Focus</a>,
<a href="/kor/highlight/list.do?page=1&pageSize=5" target="_self">Highlight</a>,
<a href="/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">카드뉴스</a>,
<a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_self">경희뉴스</a>,
<a href="/kor/sub/content.do?MENU_SEQ=574" target="_self">교내언론</a>,
<a href="/kor/video/list.do" target="_self">영상</a>,
<a href="/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC" target="_self">포토갤러리</a>,
<a href="https://www.khu.ac.kr/kor/prsdInquiry/list.do?page=1" target="_blank">열린총장실</a>,
<a href="https://give.khu.ac.kr/" target="_blank">발전기금</a>,
<a href="https://mail.khu.ac.kr/" target="_blank">웹메일</a>,
<a href="https://info21.khu.ac.kr/com/LoginCtr/login.do?sso=ok" target="_blank">인포21</a>,
<a href="https://k-recruit.khu.ac.kr/hjis2/" target="_blank">채용시스템</a>,
<a href="https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2134768" target="_blank">코로나19</a>,
<a href="https://www.khu.ac.kr/eng/main/index.do">English</a>,
<a href="/kor/info/sitemap.do">Sitemap</a>,
<a class="btnLogin" href="/kor/info/login.do">Login</a>,
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152897&page=1&pageSize=5" target="_blank">
<strong class="slideTit" style="color:#ffffff"> </strong>
<p class="slideTxt" style="color:#ffffff"> </p>
</a>,
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?seq=2152297" target="_blank">
<strong class="slideTit" style="color:#ffffff">인생의 한 페이지이자, 삶의 터전 경희를 떠나며</strong>
<p class="slideTxt" style="color:#ffffff">교원 정년퇴임식, 교수님의 노고에 감사드립니다</p>
</a>,
<a class="fadeInDown" href="http://card.cakecomms.com/kyunghee_cheerforjuniors2020_2/card" target="_blank">
<strong class="slideTit" style="color:#ffffff"> </strong>
<p class="slideTxt" style="color:#ffffff">▶ 카드뉴스 바로가기 </p>
</a>,
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152427&page=1" target="_blank">
<strong class="slideTit" style="color:#ffffff">양자 정보로 찾아낸 최적의 투자 포트폴리오</strong>
<p class="slideTxt" style="color:#ffffff">강누리·이건호·조우현 학생, ‘2021 양자정보경진대회’ 우수상 수상
</p>
</a>,
<a class="fadeInDown" href="https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152133&page=1" target="_self">
<strong class="slideTit" style="color:#ffffff">환자 돕는 기술 개발 의욕으로 챗봇 개발한 한의 군의관</strong>
<p class="slideTxt" style="color:#ffffff">육군 대위 이현훈 학생(대학원 임상한의학과 박사 수료), 의료용 인공지능 챗봇 개발</p>
</a>,
<a class="btnMore" href="/kor/focus/list.do?page=1&pageSize=5">더보기</a>,
<a href="/kor/focus/detail.do?seq=2152922">
<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1631757522160.jpg"/>
</div>
<strong>코로나 시대, 슬기로운 대학 생...</strong>
<p class="txtW">
9월 10일(금) ‘코로나 시대, 슬기로운 대학 생활’을 주제로 총장과의 대화가 개최됐다. 한균태 총장은 “이번 ...</p>
</a>,
<a href="/kor/focus/detail.do?seq=2152259">
<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1630906938516.jpg"/>
</div>
<strong>금 나노 입자 활용한 표면 버블...</strong>
<p class="txtW">
전자공학과 이응규 교수가 금 나노 입자를 활용해 표면 버블을 만드는 원리를 규명했다. 이번 연구는 나노 분야 세계적인 ...</p>
</a>,
<a href="/kor/focus/detail.do?seq=2152249">
<div class="listImgW">
<img alt="" src="/kor/upload/board/board_mainImage_1630896475547.jpg"/>
</div>
<strong>HK+연구단, 옥스퍼드대 마크 ...</strong>
<p class="txtW">
HK+통합의료인문학연구단이 영국 옥스퍼드대학교 마크 해리슨 교수와 국제 공동연구 프로젝트를 진행한다. 이번 연구는 해리...</p>
</a>,
<a href="#">일반</a>,
<a href="#">장학</a>,
<a href="#">학사</a>,
<a href="#">행사</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=GENERAL&seq=2150417">More</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=GENERAL&seq=2153020">More</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=GENERAL&seq=2153014">More</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=GENERAL&seq=2153013">More</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152954">More</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152881">More</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152795">More</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152727">More</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2153019">More</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2153017">More</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2152557">More</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=UNDERGRADUATE&seq=2152416">More</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=EVENT&seq=2152921">More</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=EVENT&seq=2152882">More</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=EVENT&seq=2152088">More</a>,
<a class="btn09 fontMer" href="/kor/notice/detail.do?category=EVENT&seq=2152058">More</a>,
<a href="http://ipsi5.uwayapply.com/foreign/khu/?CHA=1" target="_blank">
2022-1(1차) 외국인 신편입학 원서접수
</a>,
<a href="http://sugang.khu.ac.kr" target="_blank">
2021-2학기 학부 수강신청
</a>,
<a href="https://www.khu.ac.kr/upload/notice/2021_NCSI_Notice.pdf" target="_blank">
2021 경희대학교 개선 과제
</a>,
<a href="http://www.khu.ac.kr/upload/notice/HumanitasCollege_2021_01.pdf" target="_self">
후마니타스칼리지 가이드북
</a>,
<a href="http://igkh.khu.ac.kr/" target="_blank">
대학원혁신지원사업단
</a>,
<a href="http://goodjob.khu.ac.kr" target="_self">
취업진로정보
</a>,
<a href="http://janghak.khu.ac.kr/" target="_self">
교내장학 신청
</a>,
<a href="http://www.kosaf.go.kr/" target="_self">
학자금대출/국가장학금 신청
</a>,
<a href="https://eip.khu.ac.kr" target="_blank">
대학혁신지원사업
</a>,
<a href="http://ombuds.khu.ac.kr/" target="_self">
경희옴부즈/통합민원
</a>,
<a href="http://research.khu.ac.kr/board/bbs/board.php?bo_table=06_02" target="_self">
국가 R&D사업 공고
</a>,
<a href="http://lincplus.khu.ac.kr/" target="_blank">
LINC+사업단
</a>,
<a href="https://give.khu.ac.kr/" target="_blank">
발전기금(GIVE경희)
</a>,
<a href="/kor/news/detail.do?seq=2152961&category=PRESS&page=1">
<strong class="titW">[9/17] 코로나시대 지식생태학…“지성보다 야성적 사고 필요해...</strong>
<p class="txtW">
<span class="date">2021.09.17</span>
...
</p>
</a>,
<a "="" href="/kor/news/list.do?category=ADVERTISING&page=1" target="_blank">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a>,
<a href="/kor/download.do?seq=2152959" target="_blank">
<img alt="다운로드" src="/kor/resources/user/img/pc/contents/ico/icoMainDown.png"/></a>,
<a href="/kor/news/detail.do?seq=2152942&category=ENEWS&page=1">
<strong class="titW">[Kyung Hee e-News No.218] 인생의 한 페이지...</strong>
<p class="txtW">
<span class="date">2021.09.16</span>
...
</p>
</a>,
<a href="/kor/news/detail.do?seq=2151714&category=NEWS&page=1">
<img alt="자세히보기" src="/kor/resources/user/img/pc/contents/ico/icoMainDetail.png"/></a>,
<a href="/kor/video/list.do?category=VIDEO_GALLERY_02&sortColumn=orderNo&sortOrder=ASC&seq=2146997">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1613975799202.jpg"/>
<div class="decoPlay">
<img alt="" src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png"/>
</div>
<div class="caption">
<span>영상</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>,
<a href="/kor/cardNews/list.do?seq=2152900">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1631751726302.jpg"/>
<div class="caption">
<span>카드뉴스</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>,
<a href="/kor/photo/list.do?seq=2152314">
<img alt="" src="/kor/upload/catalog/catalog_mainImage_1630994757203.jpg"/>
<div class="caption">
<span>포토갤러리</span> <img alt="" src="/kor/resources/user/img/mobile/contents/ico/icoMainRightArr.png"/>
</div>
</a>,
<a href="#">인스타그램</a>,
<a href="#">유튜브</a>,
<a href="#">페이스북</a>,
<a href="#">블로그</a>,
<a href="#">링크드인</a>,
<a href="#">트위터</a>,
<a href="https://www.instagram.com/p/CTy7MlNBKFB/?utm_source=ig_web_copy_link" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo06.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855520789.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[쿠러스] with 코로나도 좋지만, 코로나 out이 더 좋은 이유</strong>
<p>#코로나19 #이전 #경희생활</p>
</div>
</img></div>
</a>,
<a href="https://youtu.be/yXy-UnaArXc" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo04.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855658002.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 2021] 코로나 시대, 슬기로운 대학 생활을 묻다</strong>
<p>#총장과의 #대화</p>
</div>
</img></div>
</a>,
<a href="https://www.facebook.com/kyungheeuniv/posts/4770470646307788" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo01.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855541594.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[경희 FOCUS] 욘사마, 싸이, BTS 다음은?</strong>
<p>#문과대학 #K컬처스토리콘텐츠연구소 #국어국문학과 #한류</p>
</div>
</img></div>
</a>,
<a href="https://blog.naver.com/khublog/222508923238" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo03.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855642107.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[위쿨리 쿠옹] 이번 추석은 쿠옹이 보면서 소원빌기 </strong>
<p>#퍼가라옹 #해피추석</p>
</div>
</img></div>
</a>,
<a href="https://www.linkedin.com/feed/update/urn:li:activity:6844073067304497152" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo05.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855672626.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[KyungHee FOCUS] Growing Competent Future Leaders in the Biohealth Industry</strong>
<p>The College of Pharmacy became the research leader in drug efficacy evaluation for the Cultivating Competence in Regulatory Science Project by the Ministry of Food and Drug Safety.</p>
</div>
</img></div>
</a>,
<a href="https://twitter.com/khuniv/status/1438371597635620864?s=20" target="_blank">
<img alt="" class="logo" src="/kor/resources/user/img/mobile/contents/ico/snsLogo02.jpg"/>
<div class="snsTxtW">
<img alt="" src="/kor/upload/catalog/catalog_file_1631855558047.jpg" style="width:125px;height:85px;">
<div class="txtW">
<strong>[PBF] Peace BAR Festival의 BAR의 뜻 아는 사람?!</strong>
<p>#UN #세계평화의날 #국제회의 #PBF</p>
</div>
</img></div>
</a>,
<a href="#">학생(서울)</a>,
<a href="#">학생(국제)</a>,
<a href="#">교직원</a>,
<a href="#">예비경희인</a>,
<a href="#">일반인</a>,
<a href="#">동문</a>,
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531365031560.png"/></div>
<span>학생회</span>
</a>,
<a href="https://e-campus.khu.ac.kr" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536820999734.png"/></div>
<span>e-campus</span>
</a>,
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368893838.png"/></div>
<span>인터넷 증명발급센터</span>
</a>,
<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531368988001.png"/></div>
<span>장학/융자</span>
</a>,
<a href="http://healthsc.khu.ac.kr/html_2014/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369031825.png"/></div>
<span>건강센터(서울)</span>
</a>,
<a href="http://library.khu.ac.kr/seoul" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369085502.png"/></div>
<span>중앙도서관(서울)</span>
</a>,
<a href="http://goodjob.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369120543.png"/></div>
<span>미래인재센터(서울)</span>
</a>,
<a href="http://counsell.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369148025.png"/></div>
<span>심리상담연구소(서울)</span>
</a>,
<a href="/kor/sub/content.do?MENU_SEQ=536" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872062509.png"/></div>
<span>학생회</span>
</a>,
<a href="https://e-campus.khu.ac.kr" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1536821068214.png"/></div>
<span>e-campus</span>
</a>,
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872114125.png"/></div>
<span>인터넷 증명발급센터</span>
</a>,
<a href="http://janghak.khu.ac.kr/?pmi-sso-return2=none" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872146586.png"/></div>
<span>장학/융자</span>
</a>,
<a href="http://health.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872173593.png"/></div>
<span>건강센터(국제)</span>
</a>,
<a href="http://library.khu.ac.kr/global" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872209533.png"/></div>
<span>중앙도서관(국제)</span>
</a>,
<a href="http://goodjob.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872245144.png"/></div>
<span>미래인재센터(국제)</span>
</a>,
<a href="http://counsel.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531872274832.png"/></div>
<span>학생생활상담(국제)</span>
</a>,
<a href="http://clean.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369229822.png"/></div>
<span>부정청탁신고센터</span>
</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369248917.png"/></div>
<span>교내전화번호</span>
</a>,
<a href="https://khctl.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369270415.png"/></div>
<span>교수학습지원센터</span>
</a>,
<a href="http://khu.certpia.com" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369310465.png"/></div>
<span>교직원 증명발급센터</span>
</a>,
<a href="http://rule.khu.ac.kr/lmxsrv/main/main.do" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531369355982.png"/></div>
<span>규정관리시스템</span>
</a>,
<a href="http://union.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370965900.png"/></div>
<span>노동조합</span>
</a>,
<a href="http://info21.khu.ac.kr/placeRsv/fcspReservation2.html" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531370990530.png"/></div>
<span>장소예약시스템</span>
</a>,
<a href="http://k-recruit.khu.ac.kr/hjis2/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371013813.png"/></div>
<span>채용시스템</span>
</a>,
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222550986.png"/></div>
<span>GIVE경희</span>
</a>,
<a href="/kor/news/list.do?category=NEWSLETTER&page=1" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371209428.png"/></div>
<span>경희뉴스</span>
</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371231281.png"/></div>
<span>교내전화번호</span>
</a>,
<a href="http://media.khu.ac.kr/khunews/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371253334.png"/></div>
<span>대학주보</span>
</a>,
<a href="http://iphak.khu.ac.kr/intro.do" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371277917.png"/></div>
<span>입학처</span>
</a>,
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371300338.png"/></div>
<span>중앙박물관</span>
</a>,
<a href="http://khupress.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371320459.png"/></div>
<span>출판문화원</span>
</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371348101.png"/></div>
<span>캠퍼스안내</span>
</a>,
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222622456.png"/></div>
<span>GIVE경희</span>
</a>,
<a href="http://museum.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371416234.png"/></div>
<span>중앙박물관</span>
</a>,
<a href="http://nhm.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371441890.png"/></div>
<span>자연사박물관</span>
</a>,
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371497131.png"/></div>
<span>평생교육원</span>
</a>,
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371526836.png"/></div>
<span>글로벌미래교육원</span>
</a>,
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371550067.png"/></div>
<span>국제교육원</span>
</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371574258.png"/></div>
<span>교내전화번호</span>
</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=202" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371600431.png"/></div>
<span>캠퍼스안내</span>
</a>,
<a href="http://give.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1586222636928.png"/></div>
<span>GIVE경희</span>
</a>,
<a href="http://oiak.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371666149.png"/></div>
<span>국제교류처</span>
</a>,
<a href="http://www.khua.or.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371688920.png"/></div>
<span>총동문회</span>
</a>,
<a href="http://kyunghee.certpia.com/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371713863.png"/></div>
<span>인터넷 증명발급센터</span>
</a>,
<a href="http://ice.khu.ac.kr/ht_ml/main/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371737293.png"/></div>
<span>평생교육원/언어교육원</span>
</a>,
<a href="http://cce.khu.ac.kr/html/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371761092.png"/></div>
<span>글로벌미래교육원</span>
</a>,
<a href="http://www.iie.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371785633.png"/></div>
<span>국제교육원</span>
</a>,
<a href="http://clean.khu.ac.kr/" target="_blank">
<div class="icoW"><img alt="" src="/kor/upload/link/link_normalImage_1531371807725.png"/></div>
<span>부정청탁신고센터</span>
</a>,
<a class="btn10" href="http://iphak.khu.ac.kr/PageLink.do?menuNo=10720301&link=/PageLink.do?link=psnt/CampusTourInfo
" target="_blank" title="새 창 열기">투어신청하기</a>,
<a class="videoLink fontMer" href="http://www.khu.ac.kr/kor/video/list.do?category=VIDEO_GALLERY_02&subCategory=VG_02_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC " target="_blank">
<img alt="" src="/kor/resources/user/img/pc/contents/ico/icoMainPlay.png"/>
<span>Experience Kyung Hee</span>
</a>,
<a href="/kor/sub/tab.do?MENU_SEQ=205" target="_blank">교내전화번호 </a>,
<a href="/kor/sub/content.do?MENU_SEQ=2149761" target="_blank"><b>개인정보처리방침</b></a>,
<a href="https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=197" target="_blank">대학정보공시</a>,
<a href="/kor/sub/board.do?MENU_SEQ=199" target="_blank">예결산공고</a>,
<a href="https://www.khu.ac.kr/kor/forum/list.do?type=BID&page=1" target="_blank">입찰공고</a>,
<a class="btnLinks" href="javascript:void(0);">교내주요사이트</a>,
<a href="https://e-campus.khu.ac.kr" target="_blank">e-campus</a>,
<a href="http://ombuds.khu.ac.kr/" target="_blank">경희옴부즈</a>,
<a href="http://khgsc.khu.ac.kr/" target="_blank">경희지구사회봉사단</a>,
<a href="http://abeek.khu.ac.kr/" target="_blank">공학교육혁신센터</a>,
<a href="http://web.khu.ac.kr/~faculty/" target="_blank">교무과</a>,
<a href="http://khctl.khu.ac.kr/" target="_blank">교수학습지원센터</a>,
<a href="http://oiak.khu.ac.kr/" target="_blank">국제교류처</a>,
<a href="http://global.khu.ac.kr/" target="_blank">국제교육원(국제)</a>,
<a href="http://www.iie.ac.kr/" target="_blank">국제교육원(서울)</a>,
<a href="http://iga.khu.ac.kr/" target="_blank">국제지역연구원</a>,
<a href="http://isom.khu.ac.kr/" target="_blank">국제한의학교육원</a>,
<a href=" https://cce.khu.ac.kr" target="_blank">글로벌미래교육원</a>,
<a href="http://give.khu.ac.kr/" target="_blank">대외협력처</a>,
<a href="http://gafc.khu.ac.kr/" target="_blank">미래문명원</a>,
<a href="http://vision2020.khu.ac.kr/" target="_blank">미래전략</a>,
<a href="https://goodjob.khu.ac.kr/" target="_blank">미래혁신원 미래인재센터</a>,
<a href="http://clean.khu.ac.kr/" target="_blank">부정청탁신고센터 </a>,
<a href="http://studio.khu.ac.kr/" target="_self">비대면 수업 촬영 예약관리 시스템</a>,
<a href="http://eduup.khu.ac.kr/" target="_blank">수도권대학 특성화사업</a>,
<a href="http://wjwdorm.khu.ac.kr " target="_blank">생활관(국제-우정원)</a>,
<a href="https://dorm2.khu.ac.kr/" target="_blank">생활관(국제-제2기숙사)</a>,
<a href="http://web.khu.ac.kr/~sam-dom/" target="_blank">생활관(서울-삼의원)</a>,
<a href="http://sewhahall.khu.ac.kr/" target="_blank">생활관(서울-세화원)</a>,
<a href="http://happydorm.khu.ac.kr/" target="_blank">생활관(서울-행복기숙사)</a>,
<a href="http://shelter.khu.ac.kr" target="_blank">성평등상담실(국제)</a>,
<a href="http://web.khu.ac.kr/~happyou/" target="_blank">성평등상담실(서울)</a>,
<a href="http://media.khu.ac.kr/" target="_blank">신문방송국</a>,
<a href="https://ile.khu.ac.kr" target="_blank">언어교육원</a>,
<a href="http://safety.khu.ac.kr" target="_blank">연구실 안전관리 시스템</a>,
<a href="http://crf.khu.ac.kr/" target="_blank">연구실험지원센터</a>,
<a href="http://khao.khu.ac.kr/" target="_blank">우주과학교육관</a>,
<a href="http://crhs.khu.ac.kr/" target="_blank">인류사회재건연구원</a>,
<a href="http://nhm.khu.ac.kr/" target="_blank">자연사박물관</a>,
<a href="http://ois.khu.ac.kr" target="_blank">정보처</a>,
<a href="http://clia.khu.ac.kr/" target="_blank">중앙기기센터</a>,
<a href="http://library.khu.ac.kr/" target="_blank">중앙도서관</a>,
<a href="http://museum.khu.ac.kr/" target="_blank">중앙박물관</a>,
<a href="http://khbi.khu.ac.kr/" target="_blank">창업보육센터(국제)</a>,
<a href="http://kbic.khu.ac.kr/" target="_blank">창업보육센터(서울)</a>,
<a href="http://khupress.com/" target="_blank">출판문화원</a>,
<a href="http://ice.khu.ac.kr" target="_blank">평생교육원</a>,
<a href="http://khugpp.khu.ac.kr/" target="_blank">평화의 전당</a>,
<a href="http://web.khu.ac.kr/~rotc/" target="_blank">학군단(국제)</a>,
<a href="http://web.khu.ac.kr/~rotc108/" target="_blank">학군단(서울)</a>,
<a href="https://www.khumall.com" target="_blank">한방재료가공 학교기업</a>,
<a href="http://oldmaps.khu.ac.kr/" target="_blank">혜정박물관</a>,
<a class="btnLinks" href="javascript:void(0);">경희대학교 관련기관</a>,
<a href="http://neo.khmc.or.kr/" target="_blank">강동경희대학교병원</a>,
<a href="http://www.kyungheeboy.hs.kr" target="_blank">경희고등학교</a>,
<a href="http://www.khcu.ac.kr/" target="_blank">경희사이버대학교</a>,
<a href="http://kyunghee.hs.kr/" target="_blank">경희여자고등학교</a>,
<a href="http://kyungheegls.ms.kr/" target="_blank">경희여자중학교</a>,
<a href="http://www.khu.kg.kr/" target="_blank">경희유치원</a>,
<a href="http://www.khmc.or.kr/" target="_blank">경희의료원</a>,
<a href="http://www.kyunghee.ms.kr/" target="_blank">경희중학교</a>,
<a href="http://www.kyunghee.es.kr/" target="_blank">경희초등학교</a>,
<a href="http://www.khhp.co.kr/" target="_blank">경희한약</a>,
<a href="http://www.khua.or.kr/" target="_blank">총동문회</a>,
<a href="http://khus.ac.kr/" target="_blank">학교법인 경희학원</a>,
<a href="https://www.instagram.com/kyunghee_university/" target="_blank"><img alt="instagram" src="/kor/resources/user/img/mobile/common/ico/icoSns08.png"/></a>,
<a href="http://www.youtube.com/KyungHeeUniv" target="_blank"><img alt="youtube" src="/kor/resources/user/img/mobile/common/ico/icoSns04.png"/></a>,
<a href="https://www.facebook.com/kyungheeuniv" target="_blank"><img alt="facebook" src="/kor/resources/user/img/mobile/common/ico/icoSns01.png"/></a>,
<a href="http://blog.naver.com/khublog" target="_blank"><img alt="blog" src="/kor/resources/user/img/mobile/common/ico/icoSns03.png"/></a>,
<a href="https://www.linkedin.com/school/%EA%B2%BD%ED%9D%AC%EB%8C%80%ED%95%99%EA%B5%90/" target="_blank"><img alt="linkedin" src="/kor/resources/user/img/mobile/common/ico/icoSns07.png"/></a>,
<a href="http://www.twitter.com/khuniv" target="_blank"><img alt="twitter" src="/kor/resources/user/img/mobile/common/ico/icoSns02.png"/></a>,
<a href="mailto:webmaster@khu.ac.kr"><img alt="mail" src="/kor/resources/user/img/mobile/common/ico/icoSns05.png"/></a>]
for item in c.find_all("a"):
print(item.get('href'))
#contents
/kor/main/index.do
javascript:void(0);
/kor/sub/content.do?MENU_SEQ=124
/kor/sub/tab.do?MENU_SEQ=2147840
/kor/sub/tab.do?MENU_SEQ=163
/kor/sub/tab.do?MENU_SEQ=183
/kor/sub/content.do?MENU_SEQ=184
/kor/sub/tab.do?MENU_SEQ=185
/kor/sub/content.do?MENU_SEQ=2146987
/kor/prsd/index.do
/kor/sub/content.do?MENU_SEQ=2135081
/kor/sub/content.do?MENU_SEQ=2135077
/kor/speeches/list.do?page=1
/kor/sub/tab.do?MENU_SEQ=2145271
/kor/sub/board.do?MENU_SEQ=2136729
/kor/newsClipping/list.do?year=2020
/kor/situation/list.do?page=1
/kor/prsdHistory/list.do?page=1
/kor/prsdInquiry/list.do?page=1
/kor/sub/content.do?MENU_SEQ=2147593
/kor/sub/content.do?MENU_SEQ=2147593
/kor/sub/tab.do?MENU_SEQ=189
/kor/sub/tab.do?MENU_SEQ=190
/kor/sub/content.do?MENU_SEQ=191
/kor/sub/tab.do?MENU_SEQ=192
/kor/sub/content.do?MENU_SEQ=193
/kor/sub/content.do?MENU_SEQ=194
/kor/sub/content.do?MENU_SEQ=196
/kor/sub/content.do?MENU_SEQ=197
/kor/sub/tab.do?MENU_SEQ=198
/kor/sub/board.do?MENU_SEQ=199
/kor/sub/board.do?MENU_SEQ=2128541
/kor/sub/content.do?MENU_SEQ=200
/kor/sub/tab.do?MENU_SEQ=202
/kor/sub/tab.do?MENU_SEQ=202
/kor/sub/tab.do?MENU_SEQ=278
/kor/sub/tab.do?MENU_SEQ=203
/kor/sub/content.do?MENU_SEQ=204
/kor/sub/tab.do?MENU_SEQ=205
javascript:void(0);
/kor/sub/content.do?MENU_SEQ=302
/kor/sub/content.do?MENU_SEQ=305
/kor/sub/content.do?MENU_SEQ=308
/kor/sub/tab.do?MENU_SEQ=311
/kor/sub/tab.do?MENU_SEQ=311
/kor/sub/tab.do?MENU_SEQ=313
/kor/sub/content.do?MENU_SEQ=2148586
/kor/sub/content.do?MENU_SEQ=2148586
/kor/sub/tab.do?MENU_SEQ=2148599
javascript:void(0);
/kor/sub/content.do?MENU_SEQ=321
/kor/sub/content.do?MENU_SEQ=323
/kor/sub/content.do?MENU_SEQ=325
/kor/edu/list.do
/kor/sub/content.do?MENU_SEQ=327
/kor/sub/content.do?MENU_SEQ=2131814
/kor/sub/content.do?MENU_SEQ=2131814
/kor/sub/content.do?MENU_SEQ=346
/kor/sub/content.do?MENU_SEQ=348
/kor/sub/content.do?MENU_SEQ=350
javascript:void(0);
/kor/sub/content.do?MENU_SEQ=352
/kor/sub/tab.do?MENU_SEQ=2100730
/kor/sub/tab.do?MENU_SEQ=2100730
/kor/sub/tab.do?MENU_SEQ=2100728
/kor/sub/tab.do?MENU_SEQ=2134612
/kor/sub/tab.do?MENU_SEQ=2136684
/kor/sub/tab.do?MENU_SEQ=357
/kor/sub/tab.do?MENU_SEQ=357
/kor/sub/tab.do?MENU_SEQ=359
/kor/sub/content.do?MENU_SEQ=361
/kor/sub/content.do?MENU_SEQ=363
/kor/sub/tab.do?MENU_SEQ=366
/kor/sub/tab.do?MENU_SEQ=366
/kor/sub/tab.do?MENU_SEQ=368
/kor/sub/tab.do?MENU_SEQ=370
/kor/sub/content.do?MENU_SEQ=372
/kor/sub/content.do?MENU_SEQ=374
/kor/sub/content.do?MENU_SEQ=377
/kor/sub/content.do?MENU_SEQ=377
/kor/sub/content.do?MENU_SEQ=379
/kor/sub/content.do?MENU_SEQ=2147437
javascript:void(0);
/kor/sub/content.do?MENU_SEQ=434
/kor/sub/content.do?MENU_SEQ=437
/kor/sub/content.do?MENU_SEQ=439
/kor/sub/content.do?MENU_SEQ=441
/kor/sub/content.do?MENU_SEQ=444
/kor/sub/content.do?MENU_SEQ=444
/kor/sub/content.do?MENU_SEQ=447
/kor/sub/content.do?MENU_SEQ=449
/kor/sub/tab.do?MENU_SEQ=452
/kor/sub/content.do?MENU_SEQ=454
/kor/sub/content.do?MENU_SEQ=457
/kor/sub/content.do?MENU_SEQ=457
/kor/sub/content.do?MENU_SEQ=459
/kor/sub/content.do?MENU_SEQ=461
/kor/sub/tab.do?MENU_SEQ=464
/kor/sub/tab.do?MENU_SEQ=464
/kor/sub/tab.do?MENU_SEQ=466
/kor/sub/tab.do?MENU_SEQ=468
/kor/sub/content.do?MENU_SEQ=470
/kor/sub/content.do?MENU_SEQ=472
javascript:void(0);
/kor/sub/tab.do?MENU_SEQ=527
/kor/sub/content.do?MENU_SEQ=2108143
/kor/sub/tab.do?MENU_SEQ=529
/kor/sub/content.do?MENU_SEQ=534
/kor/sub/content.do?MENU_SEQ=532
/kor/sub/tab.do?MENU_SEQ=2000022
/kor/sub/tab.do?MENU_SEQ=2138117
/kor/sub/content.do?MENU_SEQ=536
/kor/sub/tab.do?MENU_SEQ=538
/kor/sub/content.do?MENU_SEQ=541
/kor/sub/content.do?MENU_SEQ=541
/kor/sub/content.do?MENU_SEQ=543
/kor/sub/tab.do?MENU_SEQ=546
/kor/sub/tab.do?MENU_SEQ=546
/kor/sub/content.do?MENU_SEQ=548
/kor/sub/content.do?MENU_SEQ=549
/kor/sub/content.do?MENU_SEQ=551
/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC
/kor/sub/content.do?MENU_SEQ=555
/kor/notice/list.do?category=GENERAL&page=1
/kor/notice/list.do?category=GENERAL&page=1
/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1
/kor/forum/list.do?type=TUITION&category=NOTICE&page=1
/kor/wine/form.do
/kor/vote/form.do
/kor/competitionName/form.do
/kor/sub/content.do?MENU_SEQ=564
/kor/focus/list.do?page=1&pageSize=5
/kor/highlight/list.do?page=1&pageSize=5
/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC
/kor/news/list.do?category=NEWSLETTER&page=1
/kor/sub/content.do?MENU_SEQ=574
/kor/video/list.do
/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC
https://www.khu.ac.kr/kor/prsdInquiry/list.do?page=1
https://give.khu.ac.kr/
https://mail.khu.ac.kr/
https://info21.khu.ac.kr/com/LoginCtr/login.do?sso=ok
https://k-recruit.khu.ac.kr/hjis2/
https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2134768
https://www.khu.ac.kr/eng/main/index.do
/kor/info/sitemap.do
/kor/info/login.do
https://www.khu.ac.kr/kor/focus/detail.do?seq=2152897&page=1&pageSize=5
https://www.khu.ac.kr/kor/focus/detail.do?seq=2152297
http://card.cakecomms.com/kyunghee_cheerforjuniors2020_2/card
https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152427&page=1
https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152133&page=1
/kor/focus/list.do?page=1&pageSize=5
/kor/focus/detail.do?seq=2152922
/kor/focus/detail.do?seq=2152259
/kor/focus/detail.do?seq=2152249
#
#
#
#
/kor/notice/detail.do?category=GENERAL&seq=2150417
/kor/notice/detail.do?category=GENERAL&seq=2153020
/kor/notice/detail.do?category=GENERAL&seq=2153014
/kor/notice/detail.do?category=GENERAL&seq=2153013
/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152954
/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152881
/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152795
/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152727
/kor/notice/detail.do?category=UNDERGRADUATE&seq=2153019
/kor/notice/detail.do?category=UNDERGRADUATE&seq=2153017
/kor/notice/detail.do?category=UNDERGRADUATE&seq=2152557
/kor/notice/detail.do?category=UNDERGRADUATE&seq=2152416
/kor/notice/detail.do?category=EVENT&seq=2152921
/kor/notice/detail.do?category=EVENT&seq=2152882
/kor/notice/detail.do?category=EVENT&seq=2152088
/kor/notice/detail.do?category=EVENT&seq=2152058
http://ipsi5.uwayapply.com/foreign/khu/?CHA=1
http://sugang.khu.ac.kr
https://www.khu.ac.kr/upload/notice/2021_NCSI_Notice.pdf
http://www.khu.ac.kr/upload/notice/HumanitasCollege_2021_01.pdf
http://igkh.khu.ac.kr/
http://goodjob.khu.ac.kr
http://janghak.khu.ac.kr/
http://www.kosaf.go.kr/
https://eip.khu.ac.kr
http://ombuds.khu.ac.kr/
http://research.khu.ac.kr/board/bbs/board.php?bo_table=06_02
http://lincplus.khu.ac.kr/
https://give.khu.ac.kr/
/kor/news/detail.do?seq=2152961&category=PRESS&page=1
/kor/news/list.do?category=ADVERTISING&page=1
/kor/download.do?seq=2152959
/kor/news/detail.do?seq=2152942&category=ENEWS&page=1
/kor/news/detail.do?seq=2151714&category=NEWS&page=1
/kor/video/list.do?category=VIDEO_GALLERY_02&sortColumn=orderNo&sortOrder=ASC&seq=2146997
/kor/cardNews/list.do?seq=2152900
/kor/photo/list.do?seq=2152314
#
#
#
#
#
#
https://www.instagram.com/p/CTy7MlNBKFB/?utm_source=ig_web_copy_link
https://youtu.be/yXy-UnaArXc
https://www.facebook.com/kyungheeuniv/posts/4770470646307788
https://blog.naver.com/khublog/222508923238
https://www.linkedin.com/feed/update/urn:li:activity:6844073067304497152
https://twitter.com/khuniv/status/1438371597635620864?s=20
#
#
#
#
#
#
/kor/sub/content.do?MENU_SEQ=536
https://e-campus.khu.ac.kr
http://kyunghee.certpia.com/
http://janghak.khu.ac.kr/?pmi-sso-return2=none
http://healthsc.khu.ac.kr/html_2014/
http://library.khu.ac.kr/seoul
http://goodjob.khu.ac.kr/
http://counsell.khu.ac.kr/
/kor/sub/content.do?MENU_SEQ=536
https://e-campus.khu.ac.kr
http://kyunghee.certpia.com/
http://janghak.khu.ac.kr/?pmi-sso-return2=none
http://health.khu.ac.kr/
http://library.khu.ac.kr/global
http://goodjob.khu.ac.kr/
http://counsel.khu.ac.kr/
http://clean.khu.ac.kr/
/kor/sub/tab.do?MENU_SEQ=205
https://khctl.khu.ac.kr/
http://khu.certpia.com
http://rule.khu.ac.kr/lmxsrv/main/main.do
http://union.khu.ac.kr/
http://info21.khu.ac.kr/placeRsv/fcspReservation2.html
http://k-recruit.khu.ac.kr/hjis2/
http://give.khu.ac.kr/
/kor/news/list.do?category=NEWSLETTER&page=1
/kor/sub/tab.do?MENU_SEQ=205
http://media.khu.ac.kr/khunews/
http://iphak.khu.ac.kr/intro.do
http://museum.khu.ac.kr/
http://khupress.com/
/kor/sub/tab.do?MENU_SEQ=202
http://give.khu.ac.kr/
http://museum.khu.ac.kr/
http://nhm.khu.ac.kr/
http://ice.khu.ac.kr/ht_ml/main/
http://cce.khu.ac.kr/html/
http://www.iie.ac.kr/
/kor/sub/tab.do?MENU_SEQ=205
/kor/sub/tab.do?MENU_SEQ=202
http://give.khu.ac.kr/
http://oiak.khu.ac.kr/
http://www.khua.or.kr/
http://kyunghee.certpia.com/
http://ice.khu.ac.kr/ht_ml/main/
http://cce.khu.ac.kr/html/
http://www.iie.ac.kr/
http://clean.khu.ac.kr/
http://iphak.khu.ac.kr/PageLink.do?menuNo=10720301&link=/PageLink.do?link=psnt/CampusTourInfo
http://www.khu.ac.kr/kor/video/list.do?category=VIDEO_GALLERY_02&subCategory=VG_02_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC
/kor/sub/tab.do?MENU_SEQ=205
/kor/sub/content.do?MENU_SEQ=2149761
https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=197
/kor/sub/board.do?MENU_SEQ=199
https://www.khu.ac.kr/kor/forum/list.do?type=BID&page=1
javascript:void(0);
https://e-campus.khu.ac.kr
http://ombuds.khu.ac.kr/
http://khgsc.khu.ac.kr/
http://abeek.khu.ac.kr/
http://web.khu.ac.kr/~faculty/
http://khctl.khu.ac.kr/
http://oiak.khu.ac.kr/
http://global.khu.ac.kr/
http://www.iie.ac.kr/
http://iga.khu.ac.kr/
http://isom.khu.ac.kr/
https://cce.khu.ac.kr
http://give.khu.ac.kr/
http://gafc.khu.ac.kr/
http://vision2020.khu.ac.kr/
https://goodjob.khu.ac.kr/
http://clean.khu.ac.kr/
http://studio.khu.ac.kr/
http://eduup.khu.ac.kr/
http://wjwdorm.khu.ac.kr
https://dorm2.khu.ac.kr/
http://web.khu.ac.kr/~sam-dom/
http://sewhahall.khu.ac.kr/
http://happydorm.khu.ac.kr/
http://shelter.khu.ac.kr
http://web.khu.ac.kr/~happyou/
http://media.khu.ac.kr/
https://ile.khu.ac.kr
http://safety.khu.ac.kr
http://crf.khu.ac.kr/
http://khao.khu.ac.kr/
http://crhs.khu.ac.kr/
http://nhm.khu.ac.kr/
http://ois.khu.ac.kr
http://clia.khu.ac.kr/
http://library.khu.ac.kr/
http://museum.khu.ac.kr/
http://khbi.khu.ac.kr/
http://kbic.khu.ac.kr/
http://khupress.com/
http://ice.khu.ac.kr
http://khugpp.khu.ac.kr/
http://web.khu.ac.kr/~rotc/
http://web.khu.ac.kr/~rotc108/
https://www.khumall.com
http://oldmaps.khu.ac.kr/
javascript:void(0);
http://neo.khmc.or.kr/
http://www.kyungheeboy.hs.kr
http://www.khcu.ac.kr/
http://kyunghee.hs.kr/
http://kyungheegls.ms.kr/
http://www.khu.kg.kr/
http://www.khmc.or.kr/
http://www.kyunghee.ms.kr/
http://www.kyunghee.es.kr/
http://www.khhp.co.kr/
http://www.khua.or.kr/
http://khus.ac.kr/
https://www.instagram.com/kyunghee_university/
http://www.youtube.com/KyungHeeUniv
https://www.facebook.com/kyungheeuniv
http://blog.naver.com/khublog
https://www.linkedin.com/school/%EA%B2%BD%ED%9D%AC%EB%8C%80%ED%95%99%EA%B5%90/
http://www.twitter.com/khuniv
mailto:webmaster@khu.ac.kr
####
l = c.find_all("a")
links = []
for item in c.find_all("a"):
link = item.get('href')
if link.startswith('/') or link.startswith('http'):
links.append(link)
print(links)
['/kor/main/index.do', '/kor/sub/content.do?MENU_SEQ=124', '/kor/sub/tab.do?MENU_SEQ=2147840', '/kor/sub/tab.do?MENU_SEQ=163', '/kor/sub/tab.do?MENU_SEQ=183', '/kor/sub/content.do?MENU_SEQ=184', '/kor/sub/tab.do?MENU_SEQ=185', '/kor/sub/content.do?MENU_SEQ=2146987', '/kor/prsd/index.do', '/kor/sub/content.do?MENU_SEQ=2135081', '/kor/sub/content.do?MENU_SEQ=2135077', '/kor/speeches/list.do?page=1', '/kor/sub/tab.do?MENU_SEQ=2145271', '/kor/sub/board.do?MENU_SEQ=2136729', '/kor/newsClipping/list.do?year=2020', '/kor/situation/list.do?page=1', '/kor/prsdHistory/list.do?page=1', '/kor/prsdInquiry/list.do?page=1', '/kor/sub/content.do?MENU_SEQ=2147593', '/kor/sub/content.do?MENU_SEQ=2147593', '/kor/sub/tab.do?MENU_SEQ=189', '/kor/sub/tab.do?MENU_SEQ=190', '/kor/sub/content.do?MENU_SEQ=191', '/kor/sub/tab.do?MENU_SEQ=192', '/kor/sub/content.do?MENU_SEQ=193', '/kor/sub/content.do?MENU_SEQ=194', '/kor/sub/content.do?MENU_SEQ=196', '/kor/sub/content.do?MENU_SEQ=197', '/kor/sub/tab.do?MENU_SEQ=198', '/kor/sub/board.do?MENU_SEQ=199', '/kor/sub/board.do?MENU_SEQ=2128541', '/kor/sub/content.do?MENU_SEQ=200', '/kor/sub/tab.do?MENU_SEQ=202', '/kor/sub/tab.do?MENU_SEQ=202', '/kor/sub/tab.do?MENU_SEQ=278', '/kor/sub/tab.do?MENU_SEQ=203', '/kor/sub/content.do?MENU_SEQ=204', '/kor/sub/tab.do?MENU_SEQ=205', '/kor/sub/content.do?MENU_SEQ=302', '/kor/sub/content.do?MENU_SEQ=305', '/kor/sub/content.do?MENU_SEQ=308', '/kor/sub/tab.do?MENU_SEQ=311', '/kor/sub/tab.do?MENU_SEQ=311', '/kor/sub/tab.do?MENU_SEQ=313', '/kor/sub/content.do?MENU_SEQ=2148586', '/kor/sub/content.do?MENU_SEQ=2148586', '/kor/sub/tab.do?MENU_SEQ=2148599', '/kor/sub/content.do?MENU_SEQ=321', '/kor/sub/content.do?MENU_SEQ=323', '/kor/sub/content.do?MENU_SEQ=325', '/kor/edu/list.do', '/kor/sub/content.do?MENU_SEQ=327', '/kor/sub/content.do?MENU_SEQ=2131814', '/kor/sub/content.do?MENU_SEQ=2131814', '/kor/sub/content.do?MENU_SEQ=346', '/kor/sub/content.do?MENU_SEQ=348', '/kor/sub/content.do?MENU_SEQ=350', '/kor/sub/content.do?MENU_SEQ=352', '/kor/sub/tab.do?MENU_SEQ=2100730', '/kor/sub/tab.do?MENU_SEQ=2100730', '/kor/sub/tab.do?MENU_SEQ=2100728', '/kor/sub/tab.do?MENU_SEQ=2134612', '/kor/sub/tab.do?MENU_SEQ=2136684', '/kor/sub/tab.do?MENU_SEQ=357', '/kor/sub/tab.do?MENU_SEQ=357', '/kor/sub/tab.do?MENU_SEQ=359', '/kor/sub/content.do?MENU_SEQ=361', '/kor/sub/content.do?MENU_SEQ=363', '/kor/sub/tab.do?MENU_SEQ=366', '/kor/sub/tab.do?MENU_SEQ=366', '/kor/sub/tab.do?MENU_SEQ=368', '/kor/sub/tab.do?MENU_SEQ=370', '/kor/sub/content.do?MENU_SEQ=372', '/kor/sub/content.do?MENU_SEQ=374', '/kor/sub/content.do?MENU_SEQ=377', '/kor/sub/content.do?MENU_SEQ=377', '/kor/sub/content.do?MENU_SEQ=379', '/kor/sub/content.do?MENU_SEQ=2147437', '/kor/sub/content.do?MENU_SEQ=434', '/kor/sub/content.do?MENU_SEQ=437', '/kor/sub/content.do?MENU_SEQ=439', '/kor/sub/content.do?MENU_SEQ=441', '/kor/sub/content.do?MENU_SEQ=444', '/kor/sub/content.do?MENU_SEQ=444', '/kor/sub/content.do?MENU_SEQ=447', '/kor/sub/content.do?MENU_SEQ=449', '/kor/sub/tab.do?MENU_SEQ=452', '/kor/sub/content.do?MENU_SEQ=454', '/kor/sub/content.do?MENU_SEQ=457', '/kor/sub/content.do?MENU_SEQ=457', '/kor/sub/content.do?MENU_SEQ=459', '/kor/sub/content.do?MENU_SEQ=461', '/kor/sub/tab.do?MENU_SEQ=464', '/kor/sub/tab.do?MENU_SEQ=464', '/kor/sub/tab.do?MENU_SEQ=466', '/kor/sub/tab.do?MENU_SEQ=468', '/kor/sub/content.do?MENU_SEQ=470', '/kor/sub/content.do?MENU_SEQ=472', '/kor/sub/tab.do?MENU_SEQ=527', '/kor/sub/content.do?MENU_SEQ=2108143', '/kor/sub/tab.do?MENU_SEQ=529', '/kor/sub/content.do?MENU_SEQ=534', '/kor/sub/content.do?MENU_SEQ=532', '/kor/sub/tab.do?MENU_SEQ=2000022', '/kor/sub/tab.do?MENU_SEQ=2138117', '/kor/sub/content.do?MENU_SEQ=536', '/kor/sub/tab.do?MENU_SEQ=538', '/kor/sub/content.do?MENU_SEQ=541', '/kor/sub/content.do?MENU_SEQ=541', '/kor/sub/content.do?MENU_SEQ=543', '/kor/sub/tab.do?MENU_SEQ=546', '/kor/sub/tab.do?MENU_SEQ=546', '/kor/sub/content.do?MENU_SEQ=548', '/kor/sub/content.do?MENU_SEQ=549', '/kor/sub/content.do?MENU_SEQ=551', '/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC', '/kor/sub/content.do?MENU_SEQ=555', '/kor/notice/list.do?category=GENERAL&page=1', '/kor/notice/list.do?category=GENERAL&page=1', '/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1', '/kor/forum/list.do?type=TUITION&category=NOTICE&page=1', '/kor/wine/form.do', '/kor/vote/form.do', '/kor/competitionName/form.do', '/kor/sub/content.do?MENU_SEQ=564', '/kor/focus/list.do?page=1&pageSize=5', '/kor/highlight/list.do?page=1&pageSize=5', '/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC', '/kor/news/list.do?category=NEWSLETTER&page=1', '/kor/sub/content.do?MENU_SEQ=574', '/kor/video/list.do', '/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC', 'https://www.khu.ac.kr/kor/prsdInquiry/list.do?page=1', 'https://give.khu.ac.kr/', 'https://mail.khu.ac.kr/', 'https://info21.khu.ac.kr/com/LoginCtr/login.do?sso=ok', 'https://k-recruit.khu.ac.kr/hjis2/', 'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2134768', 'https://www.khu.ac.kr/eng/main/index.do', '/kor/info/sitemap.do', '/kor/info/login.do', 'https://www.khu.ac.kr/kor/focus/detail.do?seq=2152897&page=1&pageSize=5', 'https://www.khu.ac.kr/kor/focus/detail.do?seq=2152297', 'http://card.cakecomms.com/kyunghee_cheerforjuniors2020_2/card', 'https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152427&page=1', 'https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152133&page=1', '/kor/focus/list.do?page=1&pageSize=5', '/kor/focus/detail.do?seq=2152922', '/kor/focus/detail.do?seq=2152259', '/kor/focus/detail.do?seq=2152249', '/kor/notice/detail.do?category=GENERAL&seq=2150417', '/kor/notice/detail.do?category=GENERAL&seq=2153020', '/kor/notice/detail.do?category=GENERAL&seq=2153014', '/kor/notice/detail.do?category=GENERAL&seq=2153013', '/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152954', '/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152881', '/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152795', '/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152727', '/kor/notice/detail.do?category=UNDERGRADUATE&seq=2153019', '/kor/notice/detail.do?category=UNDERGRADUATE&seq=2153017', '/kor/notice/detail.do?category=UNDERGRADUATE&seq=2152557', '/kor/notice/detail.do?category=UNDERGRADUATE&seq=2152416', '/kor/notice/detail.do?category=EVENT&seq=2152921', '/kor/notice/detail.do?category=EVENT&seq=2152882', '/kor/notice/detail.do?category=EVENT&seq=2152088', '/kor/notice/detail.do?category=EVENT&seq=2152058', 'http://ipsi5.uwayapply.com/foreign/khu/?CHA=1', 'http://sugang.khu.ac.kr', 'https://www.khu.ac.kr/upload/notice/2021_NCSI_Notice.pdf', 'http://www.khu.ac.kr/upload/notice/HumanitasCollege_2021_01.pdf', 'http://igkh.khu.ac.kr/', 'http://goodjob.khu.ac.kr', 'http://janghak.khu.ac.kr/', 'http://www.kosaf.go.kr/', 'https://eip.khu.ac.kr', 'http://ombuds.khu.ac.kr/', 'http://research.khu.ac.kr/board/bbs/board.php?bo_table=06_02', 'http://lincplus.khu.ac.kr/', 'https://give.khu.ac.kr/', '/kor/news/detail.do?seq=2152961&category=PRESS&page=1', '/kor/news/list.do?category=ADVERTISING&page=1', '/kor/download.do?seq=2152959', '/kor/news/detail.do?seq=2152942&category=ENEWS&page=1', '/kor/news/detail.do?seq=2151714&category=NEWS&page=1', '/kor/video/list.do?category=VIDEO_GALLERY_02&sortColumn=orderNo&sortOrder=ASC&seq=2146997', '/kor/cardNews/list.do?seq=2152900', '/kor/photo/list.do?seq=2152314', 'https://www.instagram.com/p/CTy7MlNBKFB/?utm_source=ig_web_copy_link', 'https://youtu.be/yXy-UnaArXc', 'https://www.facebook.com/kyungheeuniv/posts/4770470646307788', 'https://blog.naver.com/khublog/222508923238', 'https://www.linkedin.com/feed/update/urn:li:activity:6844073067304497152', 'https://twitter.com/khuniv/status/1438371597635620864?s=20', '/kor/sub/content.do?MENU_SEQ=536', 'https://e-campus.khu.ac.kr', 'http://kyunghee.certpia.com/', 'http://janghak.khu.ac.kr/?pmi-sso-return2=none', 'http://healthsc.khu.ac.kr/html_2014/', 'http://library.khu.ac.kr/seoul', 'http://goodjob.khu.ac.kr/', 'http://counsell.khu.ac.kr/', '/kor/sub/content.do?MENU_SEQ=536', 'https://e-campus.khu.ac.kr', 'http://kyunghee.certpia.com/', 'http://janghak.khu.ac.kr/?pmi-sso-return2=none', 'http://health.khu.ac.kr/', 'http://library.khu.ac.kr/global', 'http://goodjob.khu.ac.kr/', 'http://counsel.khu.ac.kr/', 'http://clean.khu.ac.kr/', '/kor/sub/tab.do?MENU_SEQ=205', 'https://khctl.khu.ac.kr/', 'http://khu.certpia.com', 'http://rule.khu.ac.kr/lmxsrv/main/main.do', 'http://union.khu.ac.kr/', 'http://info21.khu.ac.kr/placeRsv/fcspReservation2.html', 'http://k-recruit.khu.ac.kr/hjis2/', 'http://give.khu.ac.kr/', '/kor/news/list.do?category=NEWSLETTER&page=1', '/kor/sub/tab.do?MENU_SEQ=205', 'http://media.khu.ac.kr/khunews/', 'http://iphak.khu.ac.kr/intro.do', 'http://museum.khu.ac.kr/', 'http://khupress.com/', '/kor/sub/tab.do?MENU_SEQ=202', 'http://give.khu.ac.kr/', 'http://museum.khu.ac.kr/', 'http://nhm.khu.ac.kr/', 'http://ice.khu.ac.kr/ht_ml/main/', 'http://cce.khu.ac.kr/html/', 'http://www.iie.ac.kr/', '/kor/sub/tab.do?MENU_SEQ=205', '/kor/sub/tab.do?MENU_SEQ=202', 'http://give.khu.ac.kr/', 'http://oiak.khu.ac.kr/', 'http://www.khua.or.kr/', 'http://kyunghee.certpia.com/', 'http://ice.khu.ac.kr/ht_ml/main/', 'http://cce.khu.ac.kr/html/', 'http://www.iie.ac.kr/', 'http://clean.khu.ac.kr/', 'http://iphak.khu.ac.kr/PageLink.do?menuNo=10720301&link=/PageLink.do?link=psnt/CampusTourInfo\n', 'http://www.khu.ac.kr/kor/video/list.do?category=VIDEO_GALLERY_02&subCategory=VG_02_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC ', '/kor/sub/tab.do?MENU_SEQ=205', '/kor/sub/content.do?MENU_SEQ=2149761', 'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=197', '/kor/sub/board.do?MENU_SEQ=199', 'https://www.khu.ac.kr/kor/forum/list.do?type=BID&page=1', 'https://e-campus.khu.ac.kr', 'http://ombuds.khu.ac.kr/', 'http://khgsc.khu.ac.kr/', 'http://abeek.khu.ac.kr/', 'http://web.khu.ac.kr/~faculty/', 'http://khctl.khu.ac.kr/', 'http://oiak.khu.ac.kr/', 'http://global.khu.ac.kr/', 'http://www.iie.ac.kr/', 'http://iga.khu.ac.kr/', 'http://isom.khu.ac.kr/', 'http://give.khu.ac.kr/', 'http://gafc.khu.ac.kr/', 'http://vision2020.khu.ac.kr/', 'https://goodjob.khu.ac.kr/', 'http://clean.khu.ac.kr/', 'http://studio.khu.ac.kr/', 'http://eduup.khu.ac.kr/', 'http://wjwdorm.khu.ac.kr ', 'https://dorm2.khu.ac.kr/', 'http://web.khu.ac.kr/~sam-dom/', 'http://sewhahall.khu.ac.kr/', 'http://happydorm.khu.ac.kr/', 'http://shelter.khu.ac.kr', 'http://web.khu.ac.kr/~happyou/', 'http://media.khu.ac.kr/', 'https://ile.khu.ac.kr', 'http://safety.khu.ac.kr', 'http://crf.khu.ac.kr/', 'http://khao.khu.ac.kr/', 'http://crhs.khu.ac.kr/', 'http://nhm.khu.ac.kr/', 'http://ois.khu.ac.kr', 'http://clia.khu.ac.kr/', 'http://library.khu.ac.kr/', 'http://museum.khu.ac.kr/', 'http://khbi.khu.ac.kr/', 'http://kbic.khu.ac.kr/', 'http://khupress.com/', 'http://ice.khu.ac.kr', 'http://khugpp.khu.ac.kr/', 'http://web.khu.ac.kr/~rotc/', 'http://web.khu.ac.kr/~rotc108/', 'https://www.khumall.com', 'http://oldmaps.khu.ac.kr/', 'http://neo.khmc.or.kr/', 'http://www.kyungheeboy.hs.kr', 'http://www.khcu.ac.kr/', 'http://kyunghee.hs.kr/', 'http://kyungheegls.ms.kr/', 'http://www.khu.kg.kr/', 'http://www.khmc.or.kr/', 'http://www.kyunghee.ms.kr/', 'http://www.kyunghee.es.kr/', 'http://www.khhp.co.kr/', 'http://www.khua.or.kr/', 'http://khus.ac.kr/', 'https://www.instagram.com/kyunghee_university/', 'http://www.youtube.com/KyungHeeUniv', 'https://www.facebook.com/kyungheeuniv', 'http://blog.naver.com/khublog', 'https://www.linkedin.com/school/%EA%B2%BD%ED%9D%AC%EB%8C%80%ED%95%99%EA%B5%90/', 'http://www.twitter.com/khuniv']
print(len(links))
311
### 다른방법 2
links = []
for item in c.find_all("a"):
link = item.get('href')
if link.startswith("#"):
continue
if link.startswith("javascript:"):
continue
if link.startswith("mailto:"):
continue
if link.startswith('/'):
link = "https://www.khu.ac.kr" + link
links.append(link)
print(len(links))
312
links
['https://www.khu.ac.kr/kor/main/index.do',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=124',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=2147840',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=163',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=183',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=184',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=185',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2146987',
'https://www.khu.ac.kr/kor/prsd/index.do',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2135081',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2135077',
'https://www.khu.ac.kr/kor/speeches/list.do?page=1',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=2145271',
'https://www.khu.ac.kr/kor/sub/board.do?MENU_SEQ=2136729',
'https://www.khu.ac.kr/kor/newsClipping/list.do?year=2020',
'https://www.khu.ac.kr/kor/situation/list.do?page=1',
'https://www.khu.ac.kr/kor/prsdHistory/list.do?page=1',
'https://www.khu.ac.kr/kor/prsdInquiry/list.do?page=1',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2147593',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2147593',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=189',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=190',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=191',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=192',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=193',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=194',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=196',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=197',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=198',
'https://www.khu.ac.kr/kor/sub/board.do?MENU_SEQ=199',
'https://www.khu.ac.kr/kor/sub/board.do?MENU_SEQ=2128541',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=200',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=202',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=202',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=278',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=203',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=204',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=205',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=302',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=305',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=308',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=311',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=311',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=313',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2148586',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2148586',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=2148599',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=321',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=323',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=325',
'https://www.khu.ac.kr/kor/edu/list.do',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=327',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2131814',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2131814',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=346',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=348',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=350',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=352',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=2100730',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=2100730',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=2100728',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=2134612',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=2136684',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=357',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=357',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=359',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=361',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=363',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=366',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=366',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=368',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=370',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=372',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=374',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=377',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=377',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=379',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2147437',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=434',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=437',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=439',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=441',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=444',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=444',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=447',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=449',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=452',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=454',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=457',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=457',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=459',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=461',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=464',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=464',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=466',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=468',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=470',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=472',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=527',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2108143',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=529',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=534',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=532',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=2000022',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=2138117',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=536',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=538',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=541',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=541',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=543',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=546',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=546',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=548',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=549',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=551',
'https://www.khu.ac.kr/kor/history/list.do?category=HISTORY_GALLERY_01&subCategory=HG_01_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=555',
'https://www.khu.ac.kr/kor/notice/list.do?category=GENERAL&page=1',
'https://www.khu.ac.kr/kor/notice/list.do?category=GENERAL&page=1',
'https://www.khu.ac.kr/kor/meeting/list.do?type=COMMUNICATION&category=SECRETARY&page=1',
'https://www.khu.ac.kr/kor/forum/list.do?type=TUITION&category=NOTICE&page=1',
'https://www.khu.ac.kr/kor/wine/form.do',
'https://www.khu.ac.kr/kor/vote/form.do',
'https://www.khu.ac.kr/kor/competitionName/form.do',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=564',
'https://www.khu.ac.kr/kor/focus/list.do?page=1&pageSize=5',
'https://www.khu.ac.kr/kor/highlight/list.do?page=1&pageSize=5',
'https://www.khu.ac.kr/kor/cardNews/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC',
'https://www.khu.ac.kr/kor/news/list.do?category=NEWSLETTER&page=1',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=574',
'https://www.khu.ac.kr/kor/video/list.do',
'https://www.khu.ac.kr/kor/photo/list.do?page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC',
'https://www.khu.ac.kr/kor/prsdInquiry/list.do?page=1',
'https://give.khu.ac.kr/',
'https://mail.khu.ac.kr/',
'https://info21.khu.ac.kr/com/LoginCtr/login.do?sso=ok',
'https://k-recruit.khu.ac.kr/hjis2/',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2134768',
'https://www.khu.ac.kr/eng/main/index.do',
'https://www.khu.ac.kr/kor/info/sitemap.do',
'https://www.khu.ac.kr/kor/info/login.do',
'https://www.khu.ac.kr/kor/focus/detail.do?seq=2152897&page=1&pageSize=5',
'https://www.khu.ac.kr/kor/focus/detail.do?seq=2152297',
'http://card.cakecomms.com/kyunghee_cheerforjuniors2020_2/card',
'https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152427&page=1',
'https://www.khu.ac.kr/kor/focus/detail.do?preview=1&seq=2152133&page=1',
'https://www.khu.ac.kr/kor/focus/list.do?page=1&pageSize=5',
'https://www.khu.ac.kr/kor/focus/detail.do?seq=2152922',
'https://www.khu.ac.kr/kor/focus/detail.do?seq=2152259',
'https://www.khu.ac.kr/kor/focus/detail.do?seq=2152249',
'https://www.khu.ac.kr/kor/notice/detail.do?category=GENERAL&seq=2150417',
'https://www.khu.ac.kr/kor/notice/detail.do?category=GENERAL&seq=2153020',
'https://www.khu.ac.kr/kor/notice/detail.do?category=GENERAL&seq=2153014',
'https://www.khu.ac.kr/kor/notice/detail.do?category=GENERAL&seq=2153013',
'https://www.khu.ac.kr/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152954',
'https://www.khu.ac.kr/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152881',
'https://www.khu.ac.kr/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152795',
'https://www.khu.ac.kr/kor/notice/detail.do?category=SCHOLARSHIP&seq=2152727',
'https://www.khu.ac.kr/kor/notice/detail.do?category=UNDERGRADUATE&seq=2153019',
'https://www.khu.ac.kr/kor/notice/detail.do?category=UNDERGRADUATE&seq=2153017',
'https://www.khu.ac.kr/kor/notice/detail.do?category=UNDERGRADUATE&seq=2152557',
'https://www.khu.ac.kr/kor/notice/detail.do?category=UNDERGRADUATE&seq=2152416',
'https://www.khu.ac.kr/kor/notice/detail.do?category=EVENT&seq=2152921',
'https://www.khu.ac.kr/kor/notice/detail.do?category=EVENT&seq=2152882',
'https://www.khu.ac.kr/kor/notice/detail.do?category=EVENT&seq=2152088',
'https://www.khu.ac.kr/kor/notice/detail.do?category=EVENT&seq=2152058',
'http://ipsi5.uwayapply.com/foreign/khu/?CHA=1',
'http://sugang.khu.ac.kr',
'https://www.khu.ac.kr/upload/notice/2021_NCSI_Notice.pdf',
'http://www.khu.ac.kr/upload/notice/HumanitasCollege_2021_01.pdf',
'http://igkh.khu.ac.kr/',
'http://goodjob.khu.ac.kr',
'http://janghak.khu.ac.kr/',
'http://www.kosaf.go.kr/',
'https://eip.khu.ac.kr',
'http://ombuds.khu.ac.kr/',
'http://research.khu.ac.kr/board/bbs/board.php?bo_table=06_02',
'http://lincplus.khu.ac.kr/',
'https://give.khu.ac.kr/',
'https://www.khu.ac.kr/kor/news/detail.do?seq=2152961&category=PRESS&page=1',
'https://www.khu.ac.kr/kor/news/list.do?category=ADVERTISING&page=1',
'https://www.khu.ac.kr/kor/download.do?seq=2152959',
'https://www.khu.ac.kr/kor/news/detail.do?seq=2152942&category=ENEWS&page=1',
'https://www.khu.ac.kr/kor/news/detail.do?seq=2151714&category=NEWS&page=1',
'https://www.khu.ac.kr/kor/video/list.do?category=VIDEO_GALLERY_02&sortColumn=orderNo&sortOrder=ASC&seq=2146997',
'https://www.khu.ac.kr/kor/cardNews/list.do?seq=2152900',
'https://www.khu.ac.kr/kor/photo/list.do?seq=2152314',
'https://www.instagram.com/p/CTy7MlNBKFB/?utm_source=ig_web_copy_link',
'https://youtu.be/yXy-UnaArXc',
'https://www.facebook.com/kyungheeuniv/posts/4770470646307788',
'https://blog.naver.com/khublog/222508923238',
'https://www.linkedin.com/feed/update/urn:li:activity:6844073067304497152',
'https://twitter.com/khuniv/status/1438371597635620864?s=20',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=536',
'https://e-campus.khu.ac.kr',
'http://kyunghee.certpia.com/',
'http://janghak.khu.ac.kr/?pmi-sso-return2=none',
'http://healthsc.khu.ac.kr/html_2014/',
'http://library.khu.ac.kr/seoul',
'http://goodjob.khu.ac.kr/',
'http://counsell.khu.ac.kr/',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=536',
'https://e-campus.khu.ac.kr',
'http://kyunghee.certpia.com/',
'http://janghak.khu.ac.kr/?pmi-sso-return2=none',
'http://health.khu.ac.kr/',
'http://library.khu.ac.kr/global',
'http://goodjob.khu.ac.kr/',
'http://counsel.khu.ac.kr/',
'http://clean.khu.ac.kr/',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=205',
'https://khctl.khu.ac.kr/',
'http://khu.certpia.com',
'http://rule.khu.ac.kr/lmxsrv/main/main.do',
'http://union.khu.ac.kr/',
'http://info21.khu.ac.kr/placeRsv/fcspReservation2.html',
'http://k-recruit.khu.ac.kr/hjis2/',
'http://give.khu.ac.kr/',
'https://www.khu.ac.kr/kor/news/list.do?category=NEWSLETTER&page=1',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=205',
'http://media.khu.ac.kr/khunews/',
'http://iphak.khu.ac.kr/intro.do',
'http://museum.khu.ac.kr/',
'http://khupress.com/',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=202',
'http://give.khu.ac.kr/',
'http://museum.khu.ac.kr/',
'http://nhm.khu.ac.kr/',
'http://ice.khu.ac.kr/ht_ml/main/',
'http://cce.khu.ac.kr/html/',
'http://www.iie.ac.kr/',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=205',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=202',
'http://give.khu.ac.kr/',
'http://oiak.khu.ac.kr/',
'http://www.khua.or.kr/',
'http://kyunghee.certpia.com/',
'http://ice.khu.ac.kr/ht_ml/main/',
'http://cce.khu.ac.kr/html/',
'http://www.iie.ac.kr/',
'http://clean.khu.ac.kr/',
'http://iphak.khu.ac.kr/PageLink.do?menuNo=10720301&link=/PageLink.do?link=psnt/CampusTourInfo\n',
'http://www.khu.ac.kr/kor/video/list.do?category=VIDEO_GALLERY_02&subCategory=VG_02_01&page=1&pageSize=4&sortColumn=regDate&sortOrder=DESC ',
'https://www.khu.ac.kr/kor/sub/tab.do?MENU_SEQ=205',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=2149761',
'https://www.khu.ac.kr/kor/sub/content.do?MENU_SEQ=197',
'https://www.khu.ac.kr/kor/sub/board.do?MENU_SEQ=199',
'https://www.khu.ac.kr/kor/forum/list.do?type=BID&page=1',
'https://e-campus.khu.ac.kr',
'http://ombuds.khu.ac.kr/',
'http://khgsc.khu.ac.kr/',
'http://abeek.khu.ac.kr/',
'http://web.khu.ac.kr/~faculty/',
'http://khctl.khu.ac.kr/',
'http://oiak.khu.ac.kr/',
'http://global.khu.ac.kr/',
'http://www.iie.ac.kr/',
'http://iga.khu.ac.kr/',
'http://isom.khu.ac.kr/',
' https://cce.khu.ac.kr',
'http://give.khu.ac.kr/',
'http://gafc.khu.ac.kr/',
'http://vision2020.khu.ac.kr/',
'https://goodjob.khu.ac.kr/',
'http://clean.khu.ac.kr/',
'http://studio.khu.ac.kr/',
'http://eduup.khu.ac.kr/',
'http://wjwdorm.khu.ac.kr ',
'https://dorm2.khu.ac.kr/',
'http://web.khu.ac.kr/~sam-dom/',
'http://sewhahall.khu.ac.kr/',
'http://happydorm.khu.ac.kr/',
'http://shelter.khu.ac.kr',
'http://web.khu.ac.kr/~happyou/',
'http://media.khu.ac.kr/',
'https://ile.khu.ac.kr',
'http://safety.khu.ac.kr',
'http://crf.khu.ac.kr/',
'http://khao.khu.ac.kr/',
'http://crhs.khu.ac.kr/',
'http://nhm.khu.ac.kr/',
'http://ois.khu.ac.kr',
'http://clia.khu.ac.kr/',
'http://library.khu.ac.kr/',
'http://museum.khu.ac.kr/',
'http://khbi.khu.ac.kr/',
'http://kbic.khu.ac.kr/',
'http://khupress.com/',
'http://ice.khu.ac.kr',
'http://khugpp.khu.ac.kr/',
'http://web.khu.ac.kr/~rotc/',
'http://web.khu.ac.kr/~rotc108/',
'https://www.khumall.com',
'http://oldmaps.khu.ac.kr/',
'http://neo.khmc.or.kr/',
'http://www.kyungheeboy.hs.kr',
'http://www.khcu.ac.kr/',
'http://kyunghee.hs.kr/',
'http://kyungheegls.ms.kr/',
'http://www.khu.kg.kr/',
'http://www.khmc.or.kr/',
'http://www.kyunghee.ms.kr/',
'http://www.kyunghee.es.kr/',
'http://www.khhp.co.kr/',
'http://www.khua.or.kr/',
'http://khus.ac.kr/',
'https://www.instagram.com/kyunghee_university/',
'http://www.youtube.com/KyungHeeUniv',
'https://www.facebook.com/kyungheeuniv',
'http://blog.naver.com/khublog',
'https://www.linkedin.com/school/%EA%B2%BD%ED%9D%AC%EB%8C%80%ED%95%99%EA%B5%90/',
'http://www.twitter.com/khuniv']
#### 중복된 링크 삭제 하는 법
link2 = []
for item in links:
if item in link2:
continue
link2.append(item)
len(link2) # 312 -> 261개로 줄어들었음
261
#### 중복된 링크 삭제 하는 법 2 (집합으로 하는법)
links2 = list(set(links))
len(links2)
261
help(c.find_all)
Help on method find_all in module bs4.element:
find_all(name=None, attrs={}, recursive=True, text=None, limit=None, **kwargs) method of bs4.BeautifulSoup instance
Look in the children of this PageElement and find all
PageElements that match the given criteria.
All find_* methods take a common set of arguments. See the online
documentation for detailed explanations.
:param name: A filter on tag name.
:param attrs: A dictionary of filters on attribute values.
:param recursive: If this is True, find_all() will perform a
recursive search of this PageElement's children. Otherwise,
only the direct children will be considered.
:param limit: Stop looking after finding this many results.
:kwargs: A dictionary of filters on attribute values.
:return: A ResultSet of PageElements.
:rtype: bs4.element.ResultSet
# 파일 기록하기
fout = open("data.txt","w")
help(fout)
Help on TextIOWrapper object:
class TextIOWrapper(_TextIOBase)
| TextIOWrapper(buffer, encoding=None, errors=None, newline=None, line_buffering=False, write_through=False)
|
| Character and line based layer over a BufferedIOBase object, buffer.
|
| encoding gives the name of the encoding that the stream will be
| decoded or encoded with. It defaults to locale.getpreferredencoding(False).
|
| errors determines the strictness of encoding and decoding (see
| help(codecs.Codec) or the documentation for codecs.register) and
| defaults to "strict".
|
| newline controls how line endings are handled. It can be None, '',
| '\n', '\r', and '\r\n'. It works as follows:
|
| * On input, if newline is None, universal newlines mode is
| enabled. Lines in the input can end in '\n', '\r', or '\r\n', and
| these are translated into '\n' before being returned to the
| caller. If it is '', universal newline mode is enabled, but line
| endings are returned to the caller untranslated. If it has any of
| the other legal values, input lines are only terminated by the given
| string, and the line ending is returned to the caller untranslated.
|
| * On output, if newline is None, any '\n' characters written are
| translated to the system default line separator, os.linesep. If
| newline is '' or '\n', no translation takes place. If newline is any
| of the other legal values, any '\n' characters written are translated
| to the given string.
|
| If line_buffering is True, a call to flush is implied when a call to
| write contains a newline character.
|
| Method resolution order:
| TextIOWrapper
| _TextIOBase
| _IOBase
| builtins.object
|
| Methods defined here:
|
| __init__(self, /, *args, **kwargs)
| Initialize self. See help(type(self)) for accurate signature.
|
| __next__(self, /)
| Implement next(self).
|
| __repr__(self, /)
| Return repr(self).
|
| close(self, /)
| Flush and close the IO object.
|
| This method has no effect if the file is already closed.
|
| detach(self, /)
| Separate the underlying buffer from the TextIOBase and return it.
|
| After the underlying buffer has been detached, the TextIO is in an
| unusable state.
|
| fileno(self, /)
| Returns underlying file descriptor if one exists.
|
| OSError is raised if the IO object does not use a file descriptor.
|
| flush(self, /)
| Flush write buffers, if applicable.
|
| This is not implemented for read-only and non-blocking streams.
|
| isatty(self, /)
| Return whether this is an 'interactive' stream.
|
| Return False if it can't be determined.
|
| read(self, size=-1, /)
| Read at most n characters from stream.
|
| Read from underlying buffer until we have n characters or we hit EOF.
| If n is negative or omitted, read until EOF.
|
| readable(self, /)
| Return whether object was opened for reading.
|
| If False, read() will raise OSError.
|
| readline(self, size=-1, /)
| Read until newline or EOF.
|
| Returns an empty string if EOF is hit immediately.
|
| reconfigure(self, /, *, encoding=None, errors=None, newline=None, line_buffering=None, write_through=None)
| Reconfigure the text stream with new parameters.
|
| This also does an implicit stream flush.
|
| seek(self, cookie, whence=0, /)
| Change stream position.
|
| Change the stream position to the given byte offset. The offset is
| interpreted relative to the position indicated by whence. Values
| for whence are:
|
| * 0 -- start of stream (the default); offset should be zero or positive
| * 1 -- current stream position; offset may be negative
| * 2 -- end of stream; offset is usually negative
|
| Return the new absolute position.
|
| seekable(self, /)
| Return whether object supports random access.
|
| If False, seek(), tell() and truncate() will raise OSError.
| This method may need to do a test seek().
|
| tell(self, /)
| Return current stream position.
|
| truncate(self, pos=None, /)
| Truncate file to size bytes.
|
| File pointer is left unchanged. Size defaults to the current IO
| position as reported by tell(). Returns the new size.
|
| writable(self, /)
| Return whether object was opened for writing.
|
| If False, write() will raise OSError.
|
| write(self, text, /)
| Write string to stream.
| Returns the number of characters written (which is always equal to
| the length of the string).
|
| ----------------------------------------------------------------------
| Static methods defined here:
|
| __new__(*args, **kwargs) from builtins.type
| Create and return a new object. See help(type) for accurate signature.
|
| ----------------------------------------------------------------------
| Data descriptors defined here:
|
| buffer
|
| closed
|
| encoding
| Encoding of the text stream.
|
| Subclasses should override.
|
| errors
| The error setting of the decoder or encoder.
|
| Subclasses should override.
|
| line_buffering
|
| name
|
| newlines
| Line endings translated so far.
|
| Only line endings translated during reading are considered.
|
| Subclasses should override.
|
| write_through
|
| ----------------------------------------------------------------------
| Methods inherited from _IOBase:
|
| __del__(...)
|
| __enter__(...)
|
| __exit__(...)
|
| __iter__(self, /)
| Implement iter(self).
|
| readlines(self, hint=-1, /)
| Return a list of lines from the stream.
|
| hint can be specified to control the number of lines read: no more
| lines will be read if the total size (in bytes/characters) of all
| lines so far exceeds hint.
|
| writelines(self, lines, /)
| Write a list of lines to stream.
|
| Line separators are not added, so it is usual for each of the
| lines provided to have a line separator at the end.
|
| ----------------------------------------------------------------------
| Data descriptors inherited from _IOBase:
|
| __dict__
fout.write("a,b,c,d,this is the first output")
32
fout.close()
# print으로 file 쓰기
fout = open("data1.txt", "w")
print("asddwdw",1,2,3,"asdasdasd",file=fout)
fout.close()
# excel 파일 읽어 들이기
# ! head california_housing_test.csv
f = open("california_housing_test.csv")
for l in f.readlines():
print(l)
"longitude","latitude","housing_median_age","total_rooms","total_bedrooms","population","households","median_income","median_house_value"
-122.050000,37.370000,27.000000,3885.000000,661.000000,1537.000000,606.000000,6.608500,344700.000000
-118.300000,34.260000,43.000000,1510.000000,310.000000,809.000000,277.000000,3.599000,176500.000000
-117.810000,33.780000,27.000000,3589.000000,507.000000,1484.000000,495.000000,5.793400,270500.000000
-118.360000,33.820000,28.000000,67.000000,15.000000,49.000000,11.000000,6.135900,330000.000000
-119.670000,36.330000,19.000000,1241.000000,244.000000,850.000000,237.000000,2.937500,81700.000000
-119.560000,36.510000,37.000000,1018.000000,213.000000,663.000000,204.000000,1.663500,67000.000000
-121.430000,38.630000,43.000000,1009.000000,225.000000,604.000000,218.000000,1.664100,67000.000000
-120.650000,35.480000,19.000000,2310.000000,471.000000,1341.000000,441.000000,3.225000,166900.000000
-122.840000,38.400000,15.000000,3080.000000,617.000000,1446.000000,599.000000,3.669600,194400.000000
-118.020000,34.080000,31.000000,2402.000000,632.000000,2830.000000,603.000000,2.333300,164200.000000
-118.240000,33.980000,45.000000,972.000000,249.000000,1288.000000,261.000000,2.205400,125000.000000
-119.120000,35.850000,37.000000,736.000000,166.000000,564.000000,138.000000,2.416700,58300.000000
-121.930000,37.250000,36.000000,1089.000000,182.000000,535.000000,170.000000,4.690000,252600.000000
-117.030000,32.970000,16.000000,3936.000000,694.000000,1935.000000,659.000000,4.562500,231200.000000
-117.970000,33.730000,27.000000,2097.000000,325.000000,1217.000000,331.000000,5.712100,222500.000000
-117.990000,33.810000,42.000000,161.000000,40.000000,157.000000,50.000000,2.200000,153100.000000
-120.810000,37.530000,15.000000,570.000000,123.000000,189.000000,107.000000,1.875000,181300.000000
-121.200000,38.690000,26.000000,3077.000000,607.000000,1603.000000,595.000000,2.717400,137500.000000
-118.880000,34.210000,26.000000,1590.000000,196.000000,654.000000,199.000000,6.585100,300000.000000
-122.590000,38.010000,35.000000,8814.000000,1307.000000,3450.000000,1258.000000,6.172400,414300.000000
-122.150000,37.750000,40.000000,1445.000000,256.000000,849.000000,255.000000,3.891300,126300.000000
-121.370000,38.680000,36.000000,1775.000000,296.000000,937.000000,305.000000,3.178600,83400.000000
-118.160000,34.070000,47.000000,2994.000000,543.000000,1651.000000,561.000000,3.864400,241500.000000
-122.200000,37.790000,45.000000,2021.000000,528.000000,1410.000000,480.000000,2.778800,115400.000000
-117.280000,33.280000,13.000000,6131.000000,1040.000000,4049.000000,940.000000,3.815600,150700.000000
-118.030000,34.160000,36.000000,1401.000000,218.000000,667.000000,225.000000,7.161500,484700.000000
-122.420000,37.760000,52.000000,3587.000000,1030.000000,2259.000000,979.000000,2.540300,250000.000000
-118.390000,33.990000,32.000000,2612.000000,418.000000,1030.000000,402.000000,6.603000,369200.000000
-118.450000,34.070000,19.000000,4845.000000,1609.000000,3751.000000,1539.000000,1.583000,350000.000000
-118.480000,34.010000,30.000000,3078.000000,954.000000,1561.000000,901.000000,3.485200,425000.000000
-119.350000,36.330000,14.000000,1195.000000,220.000000,568.000000,229.000000,3.148600,105600.000000
-118.300000,33.910000,34.000000,1617.000000,493.000000,1530.000000,500.000000,2.618200,172600.000000
-121.130000,39.310000,17.000000,3442.000000,705.000000,1693.000000,619.000000,2.810200,128900.000000
-118.080000,34.550000,5.000000,16181.000000,2971.000000,8152.000000,2651.000000,4.523700,141800.000000
-118.320000,33.940000,38.000000,1067.000000,170.000000,499.000000,169.000000,4.638900,183800.000000
-118.110000,34.000000,33.000000,2886.000000,726.000000,2650.000000,728.000000,2.625000,178700.000000
-122.530000,37.970000,52.000000,1560.000000,451.000000,700.000000,419.000000,2.512500,270800.000000
-118.020000,33.920000,34.000000,1478.000000,251.000000,956.000000,277.000000,5.523800,185300.000000
-118.050000,33.930000,31.000000,894.000000,203.000000,883.000000,190.000000,3.677100,141500.000000
-119.010000,34.230000,11.000000,5785.000000,1035.000000,2760.000000,985.000000,4.693000,232200.000000
-119.320000,36.200000,15.000000,1562.000000,275.000000,961.000000,287.000000,3.423100,83300.000000
-116.920000,32.770000,16.000000,2770.000000,406.000000,1269.000000,429.000000,6.678300,275000.000000
-118.060000,34.150000,37.000000,1980.000000,226.000000,697.000000,226.000000,15.000100,500001.000000
-117.270000,34.090000,36.000000,848.000000,186.000000,737.000000,169.000000,0.983800,79300.000000
-118.230000,34.130000,48.000000,1308.000000,286.000000,835.000000,294.000000,4.289100,214800.000000
-117.240000,33.170000,4.000000,9998.000000,1874.000000,3925.000000,1672.000000,4.282600,237500.000000
-121.910000,37.440000,24.000000,1212.000000,251.000000,799.000000,242.000000,5.080800,212500.000000
-118.290000,33.940000,47.000000,1782.000000,338.000000,1003.000000,329.000000,2.539800,105700.000000
-121.350000,38.000000,6.000000,1649.000000,369.000000,732.000000,350.000000,3.423100,123800.000000
-117.990000,33.780000,19.000000,7399.000000,1698.000000,3554.000000,1593.000000,3.104900,173900.000000
-120.990000,37.700000,14.000000,9849.000000,1887.000000,4356.000000,1780.000000,3.587700,160900.000000
-119.420000,35.970000,21.000000,554.000000,121.000000,426.000000,122.000000,2.351600,47500.000000
-122.210000,37.800000,39.000000,2003.000000,500.000000,1109.000000,464.000000,3.068200,156500.000000
-118.170000,33.800000,26.000000,1589.000000,380.000000,883.000000,366.000000,3.531300,187500.000000
-117.900000,34.090000,39.000000,1726.000000,333.000000,892.000000,335.000000,4.340900,191800.000000
-117.990000,33.930000,36.000000,1287.000000,233.000000,779.000000,229.000000,4.852300,175800.000000
-121.420000,38.720000,10.000000,3054.000000,528.000000,1932.000000,510.000000,3.090300,91900.000000
-118.770000,34.260000,26.000000,3038.000000,468.000000,1825.000000,468.000000,5.638500,196900.000000
-121.930000,37.330000,44.000000,1449.000000,291.000000,676.000000,282.000000,3.575000,292200.000000
-121.820000,37.250000,16.000000,2650.000000,600.000000,1969.000000,586.000000,3.946100,194300.000000
-122.290000,37.560000,36.000000,805.000000,140.000000,445.000000,139.000000,5.822100,289400.000000
-121.780000,37.230000,18.000000,1747.000000,317.000000,1055.000000,285.000000,5.898000,229100.000000
-118.410000,34.000000,35.000000,1062.000000,305.000000,1026.000000,307.000000,2.715300,265500.000000
-121.670000,40.870000,31.000000,1581.000000,299.000000,776.000000,287.000000,2.906300,77800.000000
-118.000000,33.920000,26.000000,2830.000000,399.000000,1204.000000,404.000000,6.127300,289600.000000
-117.220000,32.730000,38.000000,3966.000000,768.000000,1640.000000,729.000000,3.840900,291400.000000
-121.080000,37.690000,19.000000,6473.000000,1212.000000,3559.000000,1123.000000,3.224600,129300.000000
-117.530000,33.920000,12.000000,2290.000000,319.000000,728.000000,228.000000,6.156100,233500.000000
-117.460000,34.080000,18.000000,3830.000000,750.000000,2767.000000,702.000000,3.660200,120700.000000
-117.970000,33.860000,35.000000,1691.000000,367.000000,1265.000000,378.000000,3.585500,174300.000000
-121.920000,37.330000,52.000000,2125.000000,382.000000,930.000000,387.000000,5.283100,299500.000000
-118.200000,34.040000,44.000000,1582.000000,544.000000,1998.000000,515.000000,1.688800,125000.000000
-118.060000,33.800000,22.000000,1892.000000,442.000000,1015.000000,404.000000,4.137900,212500.000000
-122.050000,37.360000,34.000000,2400.000000,419.000000,1017.000000,384.000000,4.136900,316900.000000
-123.790000,39.500000,24.000000,1421.000000,291.000000,588.000000,274.000000,2.325000,157300.000000
-120.790000,37.490000,44.000000,1186.000000,225.000000,687.000000,234.000000,3.416700,160700.000000
-121.890000,37.350000,47.000000,2879.000000,631.000000,2229.000000,606.000000,3.259900,183100.000000
-118.430000,34.200000,29.000000,3051.000000,694.000000,1942.000000,679.000000,3.111800,238100.000000
-118.750000,34.170000,18.000000,6217.000000,858.000000,2703.000000,834.000000,6.807500,325900.000000
-122.470000,37.990000,22.000000,7274.000000,1002.000000,2468.000000,957.000000,7.494000,439200.000000
-120.690000,37.400000,46.000000,860.000000,130.000000,496.000000,147.000000,3.516700,137500.000000
-118.280000,34.050000,44.000000,968.000000,384.000000,1805.000000,375.000000,1.480100,212500.000000
-118.440000,34.250000,35.000000,1583.000000,324.000000,1481.000000,351.000000,3.700000,176000.000000
-122.050000,38.260000,21.000000,7195.000000,1416.000000,3927.000000,1377.000000,3.091200,126300.000000
-121.990000,37.350000,18.000000,1712.000000,509.000000,972.000000,467.000000,4.397100,238900.000000
-121.020000,37.680000,28.000000,2875.000000,560.000000,1608.000000,558.000000,3.548900,106400.000000
-119.850000,36.740000,35.000000,1191.000000,190.000000,537.000000,182.000000,3.537500,96700.000000
-118.020000,34.080000,28.000000,2769.000000,631.000000,2452.000000,581.000000,2.607100,175900.000000
-123.520000,41.010000,17.000000,1564.000000,345.000000,517.000000,222.000000,2.154200,83800.000000
-122.400000,37.620000,44.000000,1619.000000,362.000000,1064.000000,335.000000,4.023800,224200.000000
-118.130000,34.150000,24.000000,1125.000000,341.000000,579.000000,321.000000,2.812500,141700.000000
-122.000000,37.980000,32.000000,1013.000000,169.000000,436.000000,173.000000,5.111800,226900.000000
-118.450000,34.250000,36.000000,1453.000000,270.000000,808.000000,275.000000,4.383900,204600.000000
-117.500000,33.870000,4.000000,6755.000000,1017.000000,2866.000000,850.000000,5.049300,239800.000000
-122.220000,37.840000,50.000000,2935.000000,473.000000,1031.000000,479.000000,7.500000,295200.000000
-119.820000,36.640000,30.000000,1694.000000,312.000000,1008.000000,321.000000,2.246600,96000.000000
-120.210000,36.770000,20.000000,1745.000000,348.000000,1093.000000,302.000000,2.319400,90600.000000
-120.970000,38.420000,16.000000,1748.000000,322.000000,4930.000000,287.000000,4.302900,121900.000000
-121.190000,38.870000,20.000000,3118.000000,500.000000,1405.000000,519.000000,6.000000,209400.000000
-118.200000,33.770000,52.000000,1375.000000,457.000000,1089.000000,317.000000,2.234400,200000.000000
-118.300000,34.020000,49.000000,2120.000000,483.000000,1522.000000,416.000000,1.850000,116800.000000
-122.230000,37.790000,43.000000,5963.000000,1344.000000,4367.000000,1231.000000,2.191700,112800.000000
-121.310000,38.620000,31.000000,3114.000000,430.000000,1121.000000,456.000000,6.244000,240000.000000
-117.250000,32.800000,35.000000,2281.000000,506.000000,1005.000000,496.000000,4.229600,275000.000000
-118.260000,33.990000,36.000000,2016.000000,505.000000,1807.000000,464.000000,1.690100,103500.000000
-119.390000,36.540000,34.000000,1590.000000,422.000000,1272.000000,407.000000,1.806800,59000.000000
-121.510000,38.520000,30.000000,3236.000000,588.000000,1167.000000,569.000000,4.097200,181400.000000
-119.180000,34.270000,6.000000,2307.000000,386.000000,910.000000,364.000000,5.215000,279500.000000
-118.180000,33.770000,30.000000,1418.000000,439.000000,720.000000,417.000000,2.637100,159400.000000
-122.430000,37.740000,52.000000,1514.000000,314.000000,724.000000,301.000000,5.329200,300900.000000
-117.930000,33.910000,24.000000,1698.000000,297.000000,676.000000,273.000000,5.201700,364600.000000
-124.160000,40.770000,35.000000,2141.000000,438.000000,1053.000000,434.000000,2.852900,85600.000000
-117.950000,33.630000,27.000000,2489.000000,481.000000,1082.000000,443.000000,5.877700,358800.000000
-118.050000,34.100000,36.000000,1606.000000,318.000000,889.000000,294.000000,4.793100,272600.000000
-116.970000,32.810000,19.000000,1573.000000,471.000000,844.000000,414.000000,2.142200,125000.000000
-118.850000,34.170000,42.000000,564.000000,96.000000,220.000000,81.000000,4.562500,318800.000000
-117.730000,33.630000,15.000000,2874.000000,592.000000,1382.000000,586.000000,5.513700,161800.000000
-122.070000,37.340000,30.000000,1851.000000,238.000000,631.000000,236.000000,10.100700,500001.000000
-117.180000,33.020000,15.000000,3540.000000,453.000000,1364.000000,425.000000,13.662300,500001.000000
-118.410000,34.000000,38.000000,324.000000,70.000000,268.000000,73.000000,2.550000,271400.000000
-121.960000,37.300000,20.000000,4228.000000,1006.000000,2334.000000,1007.000000,4.308100,227300.000000
-121.740000,38.550000,34.000000,2299.000000,579.000000,1300.000000,536.000000,1.643500,148500.000000
-118.210000,33.920000,28.000000,2949.000000,1003.000000,4551.000000,930.000000,1.902600,131900.000000
-121.900000,36.610000,29.000000,3412.000000,827.000000,1574.000000,759.000000,2.930900,217100.000000
-117.810000,33.840000,17.000000,4343.000000,515.000000,1605.000000,484.000000,10.598100,460100.000000
-118.190000,33.930000,42.000000,1829.000000,391.000000,1614.000000,377.000000,3.191200,146400.000000
-120.930000,37.730000,14.000000,2799.000000,618.000000,2294.000000,596.000000,2.634300,81500.000000
-122.020000,37.960000,25.000000,2615.000000,368.000000,935.000000,366.000000,6.672700,305100.000000
-122.470000,37.790000,52.000000,2844.000000,623.000000,1380.000000,596.000000,4.750000,500001.000000
-117.190000,34.030000,25.000000,2513.000000,340.000000,900.000000,320.000000,6.496200,182400.000000
-117.240000,32.800000,28.000000,1072.000000,331.000000,692.000000,321.000000,2.135700,187500.000000
-118.130000,34.100000,19.000000,2742.000000,756.000000,1396.000000,703.000000,2.566300,197500.000000
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-118.140000,34.710000,32.000000,1164.000000,248.000000,588.000000,270.000000,1.191700,86900.000000
-119.760000,36.750000,39.000000,2233.000000,563.000000,2031.000000,491.000000,1.864100,50800.000000
-122.340000,37.560000,39.000000,3562.000000,391.000000,1139.000000,391.000000,12.641700,500001.000000
-122.450000,40.460000,16.000000,2734.000000,501.000000,1413.000000,484.000000,2.808500,105700.000000
-118.290000,33.910000,31.000000,2025.000000,618.000000,2231.000000,593.000000,2.474100,151200.000000
-118.320000,33.910000,34.000000,3041.000000,677.000000,1920.000000,640.000000,4.530400,181300.000000
-122.040000,37.360000,26.000000,3298.000000,460.000000,1241.000000,472.000000,6.875300,403000.000000
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-122.250000,37.800000,36.000000,1678.000000,606.000000,1645.000000,543.000000,2.230300,116700.000000
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-120.060000,36.950000,24.000000,646.000000,134.000000,454.000000,149.000000,2.125000,61900.000000
-121.470000,39.490000,17.000000,1554.000000,242.000000,553.000000,230.000000,3.217400,91800.000000
-122.200000,37.790000,35.000000,1802.000000,459.000000,1009.000000,390.000000,2.303600,126000.000000
-117.230000,32.750000,23.000000,2415.000000,653.000000,1275.000000,596.000000,3.138900,101800.000000
-119.750000,36.740000,39.000000,1740.000000,351.000000,1098.000000,347.000000,1.895800,51300.000000
-117.920000,34.030000,35.000000,1341.000000,233.000000,898.000000,216.000000,4.111800,157300.000000
-121.640000,39.280000,25.000000,2857.000000,662.000000,2076.000000,685.000000,1.809500,64100.000000
-117.140000,32.720000,45.000000,1140.000000,310.000000,840.000000,339.000000,1.615600,156300.000000
-122.290000,37.540000,41.000000,1743.000000,349.000000,811.000000,349.000000,4.946400,282400.000000
-117.910000,33.940000,15.000000,5799.000000,842.000000,2314.000000,787.000000,6.343300,350500.000000
-118.380000,34.270000,8.000000,3248.000000,847.000000,2608.000000,731.000000,2.821400,158300.000000
-122.030000,37.600000,24.000000,2077.000000,383.000000,1488.000000,389.000000,4.572100,214700.000000
-117.130000,33.150000,16.000000,3907.000000,671.000000,1759.000000,663.000000,3.177600,172600.000000
-118.280000,34.000000,42.000000,855.000000,284.000000,890.000000,247.000000,1.277800,112500.000000
-122.450000,37.720000,52.000000,1729.000000,319.000000,890.000000,300.000000,4.303600,261800.000000
-119.770000,36.770000,38.000000,3065.000000,658.000000,1441.000000,625.000000,2.056400,64700.000000
-117.700000,33.640000,15.000000,5743.000000,773.000000,2380.000000,773.000000,8.192600,326600.000000
-117.070000,32.790000,36.000000,3583.000000,642.000000,1711.000000,602.000000,3.974500,170800.000000
-117.850000,33.620000,13.000000,5192.000000,658.000000,1865.000000,662.000000,15.000100,500001.000000
-117.760000,33.710000,15.000000,1010.000000,350.000000,470.000000,342.000000,3.222900,108300.000000
-117.190000,34.940000,31.000000,2034.000000,444.000000,1097.000000,367.000000,2.152200,60800.000000
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-119.470000,35.400000,32.000000,2167.000000,421.000000,1301.000000,394.000000,1.971800,69800.000000
-117.270000,34.160000,32.000000,2894.000000,427.000000,1151.000000,446.000000,6.223600,159700.000000
-121.920000,38.020000,8.000000,2750.000000,479.000000,1526.000000,484.000000,5.102000,156500.000000
-121.450000,38.560000,51.000000,1250.000000,235.000000,452.000000,232.000000,2.625000,121200.000000
-117.910000,33.840000,16.000000,919.000000,253.000000,912.000000,249.000000,1.590300,165400.000000
-118.480000,35.610000,17.000000,4002.000000,930.000000,1614.000000,731.000000,1.623600,67300.000000
-118.030000,33.840000,28.000000,3857.000000,857.000000,2328.000000,830.000000,4.015600,196000.000000
-118.320000,34.040000,48.000000,1184.000000,328.000000,953.000000,311.000000,2.352600,156300.000000
-121.300000,38.890000,23.000000,1750.000000,297.000000,1012.000000,315.000000,3.470600,99300.000000
-117.690000,34.070000,34.000000,4055.000000,739.000000,2470.000000,753.000000,3.858600,136000.000000
-118.340000,33.940000,36.000000,2796.000000,1041.000000,4033.000000,944.000000,2.488600,160700.000000
-121.920000,36.620000,52.000000,2584.000000,599.000000,790.000000,444.000000,2.526300,286400.000000
-122.110000,37.410000,27.000000,5110.000000,1599.000000,2764.000000,1482.000000,3.419800,351900.000000
-117.650000,34.100000,44.000000,2808.000000,585.000000,1444.000000,550.000000,2.715900,139300.000000
-121.800000,38.010000,44.000000,3184.000000,581.000000,1399.000000,548.000000,2.723400,110200.000000
-122.660000,38.810000,22.000000,852.000000,176.000000,461.000000,142.000000,3.437500,83300.000000
-122.390000,37.780000,3.000000,3464.000000,1179.000000,1441.000000,919.000000,4.710500,275000.000000
-117.060000,34.870000,14.000000,3348.000000,619.000000,1756.000000,557.000000,3.598700,91400.000000
-121.340000,38.660000,16.000000,3154.000000,860.000000,1837.000000,793.000000,1.980500,92900.000000
-121.920000,36.950000,29.000000,3457.000000,699.000000,1327.000000,563.000000,3.659700,252300.000000
-122.590000,38.040000,25.000000,3412.000000,455.000000,1238.000000,406.000000,8.364600,397300.000000
-118.280000,34.110000,46.000000,1156.000000,203.000000,514.000000,213.000000,4.201900,352100.000000
-121.390000,38.600000,22.000000,5773.000000,1320.000000,2607.000000,1250.000000,2.523800,118800.000000
-122.330000,40.520000,23.000000,2801.000000,507.000000,1318.000000,454.000000,3.508100,116700.000000
-118.200000,34.040000,47.000000,1894.000000,408.000000,1629.000000,379.000000,3.761900,127600.000000
-121.960000,37.000000,20.000000,3847.000000,727.000000,1725.000000,737.000000,3.344700,305200.000000
-117.890000,33.870000,32.000000,1569.000000,422.000000,835.000000,386.000000,3.046500,148900.000000
-117.230000,32.880000,18.000000,5566.000000,1465.000000,6303.000000,1458.000000,1.858000,205000.000000
-122.000000,37.120000,17.000000,4413.000000,672.000000,1674.000000,608.000000,6.977200,383300.000000
-118.400000,34.280000,22.000000,3517.000000,810.000000,3134.000000,847.000000,2.665200,164800.000000
-122.460000,37.760000,52.000000,2236.000000,545.000000,1186.000000,532.000000,3.453100,414300.000000
-121.990000,37.540000,18.000000,3584.000000,715.000000,1673.000000,661.000000,3.944400,240100.000000
-117.230000,32.740000,16.000000,735.000000,139.000000,299.000000,134.000000,4.635400,179200.000000
-121.840000,37.290000,4.000000,2937.000000,648.000000,1780.000000,665.000000,4.385100,160400.000000
-118.150000,34.860000,10.000000,4597.000000,1009.000000,2227.000000,821.000000,2.614900,83500.000000
-118.330000,33.980000,38.000000,3063.000000,796.000000,2153.000000,721.000000,1.847200,149100.000000
-120.680000,35.510000,17.000000,1701.000000,298.000000,941.000000,293.000000,4.321800,209100.000000
-117.950000,33.790000,34.000000,2912.000000,520.000000,1625.000000,501.000000,4.466700,190600.000000
-117.970000,34.050000,33.000000,1452.000000,268.000000,1274.000000,278.000000,3.656300,162700.000000
-119.750000,36.870000,3.000000,13802.000000,2244.000000,5226.000000,1972.000000,5.094100,143700.000000
-122.080000,37.350000,35.000000,1347.000000,207.000000,548.000000,189.000000,7.706800,500001.000000
-122.320000,37.950000,36.000000,1425.000000,245.000000,573.000000,239.000000,4.350000,185000.000000
-122.220000,38.100000,38.000000,931.000000,181.000000,566.000000,207.000000,3.022100,93300.000000
-124.090000,40.550000,24.000000,2978.000000,553.000000,1370.000000,480.000000,2.764400,97300.000000
-121.500000,38.570000,41.000000,1124.000000,344.000000,807.000000,316.000000,1.471200,94600.000000
-118.110000,33.910000,19.000000,3056.000000,759.000000,1561.000000,740.000000,3.136900,196900.000000
-121.230000,37.960000,37.000000,2351.000000,564.000000,1591.000000,549.000000,1.656300,57200.000000
-121.890000,37.280000,35.000000,2418.000000,375.000000,988.000000,374.000000,6.093600,365400.000000
-122.480000,37.650000,39.000000,3348.000000,666.000000,1817.000000,668.000000,4.259300,227400.000000
-118.310000,34.090000,36.000000,2517.000000,842.000000,2446.000000,689.000000,2.152400,187500.000000
-123.020000,38.810000,35.000000,956.000000,213.000000,488.000000,215.000000,3.025000,140600.000000
-120.470000,34.650000,32.000000,2193.000000,430.000000,1074.000000,377.000000,2.333300,130200.000000
-122.100000,37.680000,37.000000,2116.000000,503.000000,1109.000000,448.000000,2.535000,174000.000000
-122.420000,37.790000,52.000000,3364.000000,1100.000000,2112.000000,1045.000000,2.134300,400000.000000
-122.640000,41.630000,19.000000,2722.000000,479.000000,1108.000000,430.000000,3.106200,100000.000000
-118.020000,33.910000,34.000000,2518.000000,429.000000,1309.000000,421.000000,4.786100,210700.000000
-119.020000,35.360000,48.000000,1833.000000,396.000000,947.000000,363.000000,2.282700,70000.000000
-121.330000,38.650000,23.000000,2446.000000,523.000000,1132.000000,513.000000,2.626600,198500.000000
-118.080000,33.950000,32.000000,1962.000000,387.000000,1274.000000,398.000000,4.830400,160600.000000
-118.080000,33.790000,34.000000,2840.000000,395.000000,1127.000000,396.000000,7.614400,376200.000000
-118.230000,33.910000,27.000000,1694.000000,393.000000,1890.000000,373.000000,3.034100,89100.000000
-118.290000,33.750000,37.000000,1319.000000,292.000000,766.000000,285.000000,2.703100,218900.000000
-118.020000,34.130000,34.000000,1966.000000,319.000000,980.000000,297.000000,7.730700,429000.000000
-117.890000,33.600000,36.000000,1496.000000,247.000000,441.000000,203.000000,7.816400,500001.000000
-118.230000,34.650000,17.000000,1827.000000,348.000000,766.000000,335.000000,3.567300,136300.000000
-118.310000,34.020000,45.000000,1423.000000,278.000000,822.000000,276.000000,2.451900,98100.000000
-118.070000,33.800000,34.000000,3486.000000,507.000000,1311.000000,503.000000,7.122100,384500.000000
-118.250000,33.940000,43.000000,1113.000000,378.000000,1305.000000,334.000000,1.143400,91300.000000
-122.440000,37.710000,52.000000,2711.000000,591.000000,1848.000000,524.000000,3.956700,251500.000000
-119.750000,34.500000,26.000000,3563.000000,579.000000,1479.000000,575.000000,5.952200,438400.000000
-117.940000,33.940000,26.000000,1962.000000,540.000000,1236.000000,520.000000,2.215600,145000.000000
-119.230000,34.170000,18.000000,6171.000000,1490.000000,2164.000000,1210.000000,3.687500,500001.000000
-118.110000,34.680000,6.000000,7430.000000,1184.000000,3489.000000,1115.000000,5.326700,140100.000000
-122.470000,37.770000,52.000000,2241.000000,443.000000,1042.000000,377.000000,4.163500,398400.000000
-120.930000,35.760000,11.000000,8997.000000,1698.000000,1825.000000,756.000000,3.230000,154300.000000
-118.140000,34.170000,52.000000,2667.000000,486.000000,1681.000000,504.000000,4.052400,173100.000000
-122.730000,38.460000,14.000000,4042.000000,1298.000000,2323.000000,1158.000000,2.065100,135400.000000
-117.060000,32.760000,37.000000,2356.000000,476.000000,1231.000000,499.000000,2.965000,155700.000000
-120.710000,35.500000,12.000000,3098.000000,453.000000,1433.000000,434.000000,5.250800,292900.000000
-118.310000,34.050000,35.000000,1692.000000,423.000000,1578.000000,406.000000,2.531300,305800.000000
-119.700000,36.750000,11.000000,3626.000000,779.000000,1819.000000,731.000000,2.495600,87500.000000
-121.340000,38.640000,17.000000,2761.000000,501.000000,1128.000000,482.000000,3.756200,139700.000000
-117.910000,34.090000,20.000000,4327.000000,1037.000000,2296.000000,963.000000,3.044100,185400.000000
-119.760000,36.790000,32.000000,2463.000000,468.000000,1261.000000,486.000000,3.328100,75100.000000
-120.660000,35.490000,17.000000,4422.000000,945.000000,2307.000000,885.000000,2.828500,171300.000000
-118.280000,34.080000,42.000000,1618.000000,522.000000,1454.000000,440.000000,3.160700,182000.000000
-122.540000,37.900000,48.000000,2491.000000,460.000000,937.000000,455.000000,4.437500,370000.000000
-117.590000,33.880000,13.000000,3239.000000,849.000000,2751.000000,813.000000,2.611100,107000.000000
-120.470000,34.940000,17.000000,1368.000000,308.000000,642.000000,303.000000,1.863300,109400.000000
-118.250000,33.930000,42.000000,819.000000,233.000000,899.000000,228.000000,1.134600,85400.000000
-121.970000,37.290000,25.000000,4096.000000,743.000000,2027.000000,741.000000,5.329400,300300.000000
-122.010000,36.970000,43.000000,2162.000000,509.000000,1208.000000,464.000000,2.541700,260900.000000
-122.020000,37.600000,32.000000,1295.000000,295.000000,1097.000000,328.000000,3.238600,149600.000000
-118.230000,34.090000,49.000000,1638.000000,456.000000,1500.000000,430.000000,2.692300,150000.000000
-117.170000,34.280000,13.000000,4867.000000,718.000000,780.000000,250.000000,7.199700,253800.000000
-122.330000,37.390000,52.000000,573.000000,102.000000,232.000000,92.000000,6.226300,500001.000000
-117.910000,33.600000,37.000000,2088.000000,510.000000,673.000000,390.000000,5.104800,500001.000000
-117.930000,33.860000,35.000000,931.000000,181.000000,516.000000,174.000000,5.586700,182500.000000
-119.860000,34.420000,23.000000,1450.000000,642.000000,1258.000000,607.000000,1.179000,225000.000000
-118.140000,34.060000,27.000000,5257.000000,1082.000000,3496.000000,1036.000000,3.390600,237200.000000
-119.700000,36.300000,10.000000,956.000000,201.000000,693.000000,220.000000,2.289500,62000.000000
-117.120000,34.100000,40.000000,96.000000,14.000000,46.000000,14.000000,3.270800,162500.000000
-119.630000,34.420000,42.000000,1765.000000,263.000000,753.000000,260.000000,8.560800,500001.000000
# 방법1
data = []
f = open("california_housing_test.csv")
for l in f.readlines():
l1 = l.split(',')
data.append(l1)
data[0]
['"longitude"',
'"latitude"',
'"housing_median_age"',
'"total_rooms"',
'"total_bedrooms"',
'"population"',
'"households"',
'"median_income"',
'"median_house_value"\n']
data[1]
['-122.050000',
'37.370000',
'27.000000',
'3885.000000',
'661.000000',
'1537.000000',
'606.000000',
'6.608500',
'344700.000000\n']
data[1][0]
'-122.050000'
# 숫자로 변경
float(data[1][0])
-122.05
# 방법 2
data = []
f = open("california_housing_test.csv")
titles = f.readline().strip().split(',') #컬럼명
for l in f.readlines():
l1 = [float(x) for x in l.strip().split(',')]
data.append(l1)
type(data[1][0])
float
data[1][0]
-118.3
titles # excel 컬럼명 출력됨
['"longitude"',
'"latitude"',
'"housing_median_age"',
'"total_rooms"',
'"total_bedrooms"',
'"population"',
'"households"',
'"median_income"',
'"median_house_value"']
data[0]
[-122.05, 37.37, 27.0, 3885.0, 661.0, 1537.0, 606.0, 6.6085, 344700.0]
len(data[0])
9
len(titles)
9
len(data)
3000
# 방법 3
data = []
with open("california_housing_test.csv") as ff:
titles = ff.readline().strip().split(',')
for l in ff.readlines():
l1 = [float(x) for x in l.strip().split(',')]
data.append(l1)
data[0]
[-122.05, 37.37, 27.0, 3885.0, 661.0, 1537.0, 606.0, 6.6085, 344700.0]
titles
['"longitude"',
'"latitude"',
'"housing_median_age"',
'"total_rooms"',
'"total_bedrooms"',
'"population"',
'"households"',
'"median_income"',
'"median_house_value"']
# 방법 4
import csv
help(csv)
Help on module csv:
NAME
csv - CSV parsing and writing.
MODULE REFERENCE
https://docs.python.org/3.8/library/csv
The following documentation is automatically generated from the Python
source files. It may be incomplete, incorrect or include features that
are considered implementation detail and may vary between Python
implementations. When in doubt, consult the module reference at the
location listed above.
DESCRIPTION
This module provides classes that assist in the reading and writing
of Comma Separated Value (CSV) files, and implements the interface
described by PEP 305. Although many CSV files are simple to parse,
the format is not formally defined by a stable specification and
is subtle enough that parsing lines of a CSV file with something
like line.split(",") is bound to fail. The module supports three
basic APIs: reading, writing, and registration of dialects.
DIALECT REGISTRATION:
Readers and writers support a dialect argument, which is a convenient
handle on a group of settings. When the dialect argument is a string,
it identifies one of the dialects previously registered with the module.
If it is a class or instance, the attributes of the argument are used as
the settings for the reader or writer:
class excel:
delimiter = ','
quotechar = '"'
escapechar = None
doublequote = True
skipinitialspace = False
lineterminator = '\r\n'
quoting = QUOTE_MINIMAL
SETTINGS:
* quotechar - specifies a one-character string to use as the
quoting character. It defaults to '"'.
* delimiter - specifies a one-character string to use as the
field separator. It defaults to ','.
* skipinitialspace - specifies how to interpret whitespace which
immediately follows a delimiter. It defaults to False, which
means that whitespace immediately following a delimiter is part
of the following field.
* lineterminator - specifies the character sequence which should
terminate rows.
* quoting - controls when quotes should be generated by the writer.
It can take on any of the following module constants:
csv.QUOTE_MINIMAL means only when required, for example, when a
field contains either the quotechar or the delimiter
csv.QUOTE_ALL means that quotes are always placed around fields.
csv.QUOTE_NONNUMERIC means that quotes are always placed around
fields which do not parse as integers or floating point
numbers.
csv.QUOTE_NONE means that quotes are never placed around fields.
* escapechar - specifies a one-character string used to escape
the delimiter when quoting is set to QUOTE_NONE.
* doublequote - controls the handling of quotes inside fields. When
True, two consecutive quotes are interpreted as one during read,
and when writing, each quote character embedded in the data is
written as two quotes
CLASSES
builtins.Exception(builtins.BaseException)
_csv.Error
builtins.object
Dialect
excel
excel_tab
unix_dialect
DictReader
DictWriter
Sniffer
class Dialect(builtins.object)
| Describe a CSV dialect.
|
| This must be subclassed (see csv.excel). Valid attributes are:
| delimiter, quotechar, escapechar, doublequote, skipinitialspace,
| lineterminator, quoting.
|
| Methods defined here:
|
| __init__(self)
| Initialize self. See help(type(self)) for accurate signature.
|
| ----------------------------------------------------------------------
| Data descriptors defined here:
|
| __dict__
| dictionary for instance variables (if defined)
|
| __weakref__
| list of weak references to the object (if defined)
|
| ----------------------------------------------------------------------
| Data and other attributes defined here:
|
| delimiter = None
|
| doublequote = None
|
| escapechar = None
|
| lineterminator = None
|
| quotechar = None
|
| quoting = None
|
| skipinitialspace = None
class DictReader(builtins.object)
| DictReader(f, fieldnames=None, restkey=None, restval=None, dialect='excel', *args, **kwds)
|
| Methods defined here:
|
| __init__(self, f, fieldnames=None, restkey=None, restval=None, dialect='excel', *args, **kwds)
| Initialize self. See help(type(self)) for accurate signature.
|
| __iter__(self)
|
| __next__(self)
|
| ----------------------------------------------------------------------
| Data descriptors defined here:
|
| __dict__
| dictionary for instance variables (if defined)
|
| __weakref__
| list of weak references to the object (if defined)
|
| fieldnames
class DictWriter(builtins.object)
| DictWriter(f, fieldnames, restval='', extrasaction='raise', dialect='excel', *args, **kwds)
|
| Methods defined here:
|
| __init__(self, f, fieldnames, restval='', extrasaction='raise', dialect='excel', *args, **kwds)
| Initialize self. See help(type(self)) for accurate signature.
|
| writeheader(self)
|
| writerow(self, rowdict)
|
| writerows(self, rowdicts)
|
| ----------------------------------------------------------------------
| Data descriptors defined here:
|
| __dict__
| dictionary for instance variables (if defined)
|
| __weakref__
| list of weak references to the object (if defined)
class Error(builtins.Exception)
| Common base class for all non-exit exceptions.
|
| Method resolution order:
| Error
| builtins.Exception
| builtins.BaseException
| builtins.object
|
| Data descriptors defined here:
|
| __weakref__
| list of weak references to the object (if defined)
|
| ----------------------------------------------------------------------
| Methods inherited from builtins.Exception:
|
| __init__(self, /, *args, **kwargs)
| Initialize self. See help(type(self)) for accurate signature.
|
| ----------------------------------------------------------------------
| Static methods inherited from builtins.Exception:
|
| __new__(*args, **kwargs) from builtins.type
| Create and return a new object. See help(type) for accurate signature.
|
| ----------------------------------------------------------------------
| Methods inherited from builtins.BaseException:
|
| __delattr__(self, name, /)
| Implement delattr(self, name).
|
| __getattribute__(self, name, /)
| Return getattr(self, name).
|
| __reduce__(...)
| Helper for pickle.
|
| __repr__(self, /)
| Return repr(self).
|
| __setattr__(self, name, value, /)
| Implement setattr(self, name, value).
|
| __setstate__(...)
|
| __str__(self, /)
| Return str(self).
|
| with_traceback(...)
| Exception.with_traceback(tb) --
| set self.__traceback__ to tb and return self.
|
| ----------------------------------------------------------------------
| Data descriptors inherited from builtins.BaseException:
|
| __cause__
| exception cause
|
| __context__
| exception context
|
| __dict__
|
| __suppress_context__
|
| __traceback__
|
| args
class Sniffer(builtins.object)
| "Sniffs" the format of a CSV file (i.e. delimiter, quotechar)
| Returns a Dialect object.
|
| Methods defined here:
|
| __init__(self)
| Initialize self. See help(type(self)) for accurate signature.
|
| has_header(self, sample)
|
| sniff(self, sample, delimiters=None)
| Returns a dialect (or None) corresponding to the sample
|
| ----------------------------------------------------------------------
| Data descriptors defined here:
|
| __dict__
| dictionary for instance variables (if defined)
|
| __weakref__
| list of weak references to the object (if defined)
class excel(Dialect)
| Describe the usual properties of Excel-generated CSV files.
|
| Method resolution order:
| excel
| Dialect
| builtins.object
|
| Data and other attributes defined here:
|
| delimiter = ','
|
| doublequote = True
|
| lineterminator = '\r\n'
|
| quotechar = '"'
|
| quoting = 0
|
| skipinitialspace = False
|
| ----------------------------------------------------------------------
| Methods inherited from Dialect:
|
| __init__(self)
| Initialize self. See help(type(self)) for accurate signature.
|
| ----------------------------------------------------------------------
| Data descriptors inherited from Dialect:
|
| __dict__
| dictionary for instance variables (if defined)
|
| __weakref__
| list of weak references to the object (if defined)
|
| ----------------------------------------------------------------------
| Data and other attributes inherited from Dialect:
|
| escapechar = None
class excel_tab(excel)
| Describe the usual properties of Excel-generated TAB-delimited files.
|
| Method resolution order:
| excel_tab
| excel
| Dialect
| builtins.object
|
| Data and other attributes defined here:
|
| delimiter = '\t'
|
| ----------------------------------------------------------------------
| Data and other attributes inherited from excel:
|
| doublequote = True
|
| lineterminator = '\r\n'
|
| quotechar = '"'
|
| quoting = 0
|
| skipinitialspace = False
|
| ----------------------------------------------------------------------
| Methods inherited from Dialect:
|
| __init__(self)
| Initialize self. See help(type(self)) for accurate signature.
|
| ----------------------------------------------------------------------
| Data descriptors inherited from Dialect:
|
| __dict__
| dictionary for instance variables (if defined)
|
| __weakref__
| list of weak references to the object (if defined)
|
| ----------------------------------------------------------------------
| Data and other attributes inherited from Dialect:
|
| escapechar = None
class unix_dialect(Dialect)
| Describe the usual properties of Unix-generated CSV files.
|
| Method resolution order:
| unix_dialect
| Dialect
| builtins.object
|
| Data and other attributes defined here:
|
| delimiter = ','
|
| doublequote = True
|
| lineterminator = '\n'
|
| quotechar = '"'
|
| quoting = 1
|
| skipinitialspace = False
|
| ----------------------------------------------------------------------
| Methods inherited from Dialect:
|
| __init__(self)
| Initialize self. See help(type(self)) for accurate signature.
|
| ----------------------------------------------------------------------
| Data descriptors inherited from Dialect:
|
| __dict__
| dictionary for instance variables (if defined)
|
| __weakref__
| list of weak references to the object (if defined)
|
| ----------------------------------------------------------------------
| Data and other attributes inherited from Dialect:
|
| escapechar = None
FUNCTIONS
field_size_limit(...)
Sets an upper limit on parsed fields.
csv.field_size_limit([limit])
Returns old limit. If limit is not given, no new limit is set and
the old limit is returned
get_dialect(...)
Return the dialect instance associated with name.
dialect = csv.get_dialect(name)
list_dialects(...)
Return a list of all know dialect names.
names = csv.list_dialects()
reader(...)
csv_reader = reader(iterable [, dialect='excel']
[optional keyword args])
for row in csv_reader:
process(row)
The "iterable" argument can be any object that returns a line
of input for each iteration, such as a file object or a list. The
optional "dialect" parameter is discussed below. The function
also accepts optional keyword arguments which override settings
provided by the dialect.
The returned object is an iterator. Each iteration returns a row
of the CSV file (which can span multiple input lines).
register_dialect(...)
Create a mapping from a string name to a dialect class.
dialect = csv.register_dialect(name[, dialect[, **fmtparams]])
unregister_dialect(...)
Delete the name/dialect mapping associated with a string name.
csv.unregister_dialect(name)
writer(...)
csv_writer = csv.writer(fileobj [, dialect='excel']
[optional keyword args])
for row in sequence:
csv_writer.writerow(row)
[or]
csv_writer = csv.writer(fileobj [, dialect='excel']
[optional keyword args])
csv_writer.writerows(rows)
The "fileobj" argument can be any object that supports the file API.
DATA
QUOTE_ALL = 1
QUOTE_MINIMAL = 0
QUOTE_NONE = 3
QUOTE_NONNUMERIC = 2
__all__ = ['QUOTE_MINIMAL', 'QUOTE_ALL', 'QUOTE_NONNUMERIC', 'QUOTE_NO...
VERSION
1.0
FILE
c:\users\mycom\anaconda3\lib\csv.py
help(csv.reader)
Help on built-in function reader in module _csv:
reader(...)
csv_reader = reader(iterable [, dialect='excel']
[optional keyword args])
for row in csv_reader:
process(row)
The "iterable" argument can be any object that returns a line
of input for each iteration, such as a file object or a list. The
optional "dialect" parameter is discussed below. The function
also accepts optional keyword arguments which override settings
provided by the dialect.
The returned object is an iterator. Each iteration returns a row
of the CSV file (which can span multiple input lines).
csvReader = csv.reader(open("california_housing_test.csv"))
for row in csvReader:
print(row)
['longitude', 'latitude', 'housing_median_age', 'total_rooms', 'total_bedrooms', 'population', 'households', 'median_income', 'median_house_value']
['-122.050000', '37.370000', '27.000000', '3885.000000', '661.000000', '1537.000000', '606.000000', '6.608500', '344700.000000']
['-118.300000', '34.260000', '43.000000', '1510.000000', '310.000000', '809.000000', '277.000000', '3.599000', '176500.000000']
['-117.810000', '33.780000', '27.000000', '3589.000000', '507.000000', '1484.000000', '495.000000', '5.793400', '270500.000000']
['-118.360000', '33.820000', '28.000000', '67.000000', '15.000000', '49.000000', '11.000000', '6.135900', '330000.000000']
['-119.670000', '36.330000', '19.000000', '1241.000000', '244.000000', '850.000000', '237.000000', '2.937500', '81700.000000']
['-119.560000', '36.510000', '37.000000', '1018.000000', '213.000000', '663.000000', '204.000000', '1.663500', '67000.000000']
['-121.430000', '38.630000', '43.000000', '1009.000000', '225.000000', '604.000000', '218.000000', '1.664100', '67000.000000']
['-120.650000', '35.480000', '19.000000', '2310.000000', '471.000000', '1341.000000', '441.000000', '3.225000', '166900.000000']
['-122.840000', '38.400000', '15.000000', '3080.000000', '617.000000', '1446.000000', '599.000000', '3.669600', '194400.000000']
['-118.020000', '34.080000', '31.000000', '2402.000000', '632.000000', '2830.000000', '603.000000', '2.333300', '164200.000000']
['-118.240000', '33.980000', '45.000000', '972.000000', '249.000000', '1288.000000', '261.000000', '2.205400', '125000.000000']
['-119.120000', '35.850000', '37.000000', '736.000000', '166.000000', '564.000000', '138.000000', '2.416700', '58300.000000']
['-121.930000', '37.250000', '36.000000', '1089.000000', '182.000000', '535.000000', '170.000000', '4.690000', '252600.000000']
['-117.030000', '32.970000', '16.000000', '3936.000000', '694.000000', '1935.000000', '659.000000', '4.562500', '231200.000000']
['-117.970000', '33.730000', '27.000000', '2097.000000', '325.000000', '1217.000000', '331.000000', '5.712100', '222500.000000']
['-117.990000', '33.810000', '42.000000', '161.000000', '40.000000', '157.000000', '50.000000', '2.200000', '153100.000000']
['-120.810000', '37.530000', '15.000000', '570.000000', '123.000000', '189.000000', '107.000000', '1.875000', '181300.000000']
['-121.200000', '38.690000', '26.000000', '3077.000000', '607.000000', '1603.000000', '595.000000', '2.717400', '137500.000000']
['-118.880000', '34.210000', '26.000000', '1590.000000', '196.000000', '654.000000', '199.000000', '6.585100', '300000.000000']
['-122.590000', '38.010000', '35.000000', '8814.000000', '1307.000000', '3450.000000', '1258.000000', '6.172400', '414300.000000']
['-122.150000', '37.750000', '40.000000', '1445.000000', '256.000000', '849.000000', '255.000000', '3.891300', '126300.000000']
['-121.370000', '38.680000', '36.000000', '1775.000000', '296.000000', '937.000000', '305.000000', '3.178600', '83400.000000']
['-118.160000', '34.070000', '47.000000', '2994.000000', '543.000000', '1651.000000', '561.000000', '3.864400', '241500.000000']
['-122.200000', '37.790000', '45.000000', '2021.000000', '528.000000', '1410.000000', '480.000000', '2.778800', '115400.000000']
['-117.280000', '33.280000', '13.000000', '6131.000000', '1040.000000', '4049.000000', '940.000000', '3.815600', '150700.000000']
['-118.030000', '34.160000', '36.000000', '1401.000000', '218.000000', '667.000000', '225.000000', '7.161500', '484700.000000']
['-122.420000', '37.760000', '52.000000', '3587.000000', '1030.000000', '2259.000000', '979.000000', '2.540300', '250000.000000']
['-118.390000', '33.990000', '32.000000', '2612.000000', '418.000000', '1030.000000', '402.000000', '6.603000', '369200.000000']
['-118.450000', '34.070000', '19.000000', '4845.000000', '1609.000000', '3751.000000', '1539.000000', '1.583000', '350000.000000']
['-118.480000', '34.010000', '30.000000', '3078.000000', '954.000000', '1561.000000', '901.000000', '3.485200', '425000.000000']
['-119.350000', '36.330000', '14.000000', '1195.000000', '220.000000', '568.000000', '229.000000', '3.148600', '105600.000000']
['-118.300000', '33.910000', '34.000000', '1617.000000', '493.000000', '1530.000000', '500.000000', '2.618200', '172600.000000']
['-121.130000', '39.310000', '17.000000', '3442.000000', '705.000000', '1693.000000', '619.000000', '2.810200', '128900.000000']
['-118.080000', '34.550000', '5.000000', '16181.000000', '2971.000000', '8152.000000', '2651.000000', '4.523700', '141800.000000']
['-118.320000', '33.940000', '38.000000', '1067.000000', '170.000000', '499.000000', '169.000000', '4.638900', '183800.000000']
['-118.110000', '34.000000', '33.000000', '2886.000000', '726.000000', '2650.000000', '728.000000', '2.625000', '178700.000000']
['-122.530000', '37.970000', '52.000000', '1560.000000', '451.000000', '700.000000', '419.000000', '2.512500', '270800.000000']
['-118.020000', '33.920000', '34.000000', '1478.000000', '251.000000', '956.000000', '277.000000', '5.523800', '185300.000000']
['-118.050000', '33.930000', '31.000000', '894.000000', '203.000000', '883.000000', '190.000000', '3.677100', '141500.000000']
['-119.010000', '34.230000', '11.000000', '5785.000000', '1035.000000', '2760.000000', '985.000000', '4.693000', '232200.000000']
['-119.320000', '36.200000', '15.000000', '1562.000000', '275.000000', '961.000000', '287.000000', '3.423100', '83300.000000']
['-116.920000', '32.770000', '16.000000', '2770.000000', '406.000000', '1269.000000', '429.000000', '6.678300', '275000.000000']
['-118.060000', '34.150000', '37.000000', '1980.000000', '226.000000', '697.000000', '226.000000', '15.000100', '500001.000000']
['-117.270000', '34.090000', '36.000000', '848.000000', '186.000000', '737.000000', '169.000000', '0.983800', '79300.000000']
['-118.230000', '34.130000', '48.000000', '1308.000000', '286.000000', '835.000000', '294.000000', '4.289100', '214800.000000']
['-117.240000', '33.170000', '4.000000', '9998.000000', '1874.000000', '3925.000000', '1672.000000', '4.282600', '237500.000000']
['-121.910000', '37.440000', '24.000000', '1212.000000', '251.000000', '799.000000', '242.000000', '5.080800', '212500.000000']
['-118.290000', '33.940000', '47.000000', '1782.000000', '338.000000', '1003.000000', '329.000000', '2.539800', '105700.000000']
['-121.350000', '38.000000', '6.000000', '1649.000000', '369.000000', '732.000000', '350.000000', '3.423100', '123800.000000']
['-117.990000', '33.780000', '19.000000', '7399.000000', '1698.000000', '3554.000000', '1593.000000', '3.104900', '173900.000000']
['-120.990000', '37.700000', '14.000000', '9849.000000', '1887.000000', '4356.000000', '1780.000000', '3.587700', '160900.000000']
['-119.420000', '35.970000', '21.000000', '554.000000', '121.000000', '426.000000', '122.000000', '2.351600', '47500.000000']
['-122.210000', '37.800000', '39.000000', '2003.000000', '500.000000', '1109.000000', '464.000000', '3.068200', '156500.000000']
['-118.170000', '33.800000', '26.000000', '1589.000000', '380.000000', '883.000000', '366.000000', '3.531300', '187500.000000']
['-117.900000', '34.090000', '39.000000', '1726.000000', '333.000000', '892.000000', '335.000000', '4.340900', '191800.000000']
['-117.990000', '33.930000', '36.000000', '1287.000000', '233.000000', '779.000000', '229.000000', '4.852300', '175800.000000']
['-121.420000', '38.720000', '10.000000', '3054.000000', '528.000000', '1932.000000', '510.000000', '3.090300', '91900.000000']
['-118.770000', '34.260000', '26.000000', '3038.000000', '468.000000', '1825.000000', '468.000000', '5.638500', '196900.000000']
['-121.930000', '37.330000', '44.000000', '1449.000000', '291.000000', '676.000000', '282.000000', '3.575000', '292200.000000']
['-121.820000', '37.250000', '16.000000', '2650.000000', '600.000000', '1969.000000', '586.000000', '3.946100', '194300.000000']
['-122.290000', '37.560000', '36.000000', '805.000000', '140.000000', '445.000000', '139.000000', '5.822100', '289400.000000']
['-121.780000', '37.230000', '18.000000', '1747.000000', '317.000000', '1055.000000', '285.000000', '5.898000', '229100.000000']
['-118.410000', '34.000000', '35.000000', '1062.000000', '305.000000', '1026.000000', '307.000000', '2.715300', '265500.000000']
['-121.670000', '40.870000', '31.000000', '1581.000000', '299.000000', '776.000000', '287.000000', '2.906300', '77800.000000']
['-118.000000', '33.920000', '26.000000', '2830.000000', '399.000000', '1204.000000', '404.000000', '6.127300', '289600.000000']
['-117.220000', '32.730000', '38.000000', '3966.000000', '768.000000', '1640.000000', '729.000000', '3.840900', '291400.000000']
['-121.080000', '37.690000', '19.000000', '6473.000000', '1212.000000', '3559.000000', '1123.000000', '3.224600', '129300.000000']
['-117.530000', '33.920000', '12.000000', '2290.000000', '319.000000', '728.000000', '228.000000', '6.156100', '233500.000000']
['-117.460000', '34.080000', '18.000000', '3830.000000', '750.000000', '2767.000000', '702.000000', '3.660200', '120700.000000']
['-117.970000', '33.860000', '35.000000', '1691.000000', '367.000000', '1265.000000', '378.000000', '3.585500', '174300.000000']
['-121.920000', '37.330000', '52.000000', '2125.000000', '382.000000', '930.000000', '387.000000', '5.283100', '299500.000000']
['-118.200000', '34.040000', '44.000000', '1582.000000', '544.000000', '1998.000000', '515.000000', '1.688800', '125000.000000']
['-118.060000', '33.800000', '22.000000', '1892.000000', '442.000000', '1015.000000', '404.000000', '4.137900', '212500.000000']
['-122.050000', '37.360000', '34.000000', '2400.000000', '419.000000', '1017.000000', '384.000000', '4.136900', '316900.000000']
['-123.790000', '39.500000', '24.000000', '1421.000000', '291.000000', '588.000000', '274.000000', '2.325000', '157300.000000']
['-120.790000', '37.490000', '44.000000', '1186.000000', '225.000000', '687.000000', '234.000000', '3.416700', '160700.000000']
['-121.890000', '37.350000', '47.000000', '2879.000000', '631.000000', '2229.000000', '606.000000', '3.259900', '183100.000000']
['-118.430000', '34.200000', '29.000000', '3051.000000', '694.000000', '1942.000000', '679.000000', '3.111800', '238100.000000']
['-118.750000', '34.170000', '18.000000', '6217.000000', '858.000000', '2703.000000', '834.000000', '6.807500', '325900.000000']
['-122.470000', '37.990000', '22.000000', '7274.000000', '1002.000000', '2468.000000', '957.000000', '7.494000', '439200.000000']
['-120.690000', '37.400000', '46.000000', '860.000000', '130.000000', '496.000000', '147.000000', '3.516700', '137500.000000']
['-118.280000', '34.050000', '44.000000', '968.000000', '384.000000', '1805.000000', '375.000000', '1.480100', '212500.000000']
['-118.440000', '34.250000', '35.000000', '1583.000000', '324.000000', '1481.000000', '351.000000', '3.700000', '176000.000000']
['-122.050000', '38.260000', '21.000000', '7195.000000', '1416.000000', '3927.000000', '1377.000000', '3.091200', '126300.000000']
['-121.990000', '37.350000', '18.000000', '1712.000000', '509.000000', '972.000000', '467.000000', '4.397100', '238900.000000']
['-121.020000', '37.680000', '28.000000', '2875.000000', '560.000000', '1608.000000', '558.000000', '3.548900', '106400.000000']
['-119.850000', '36.740000', '35.000000', '1191.000000', '190.000000', '537.000000', '182.000000', '3.537500', '96700.000000']
['-118.020000', '34.080000', '28.000000', '2769.000000', '631.000000', '2452.000000', '581.000000', '2.607100', '175900.000000']
['-123.520000', '41.010000', '17.000000', '1564.000000', '345.000000', '517.000000', '222.000000', '2.154200', '83800.000000']
['-122.400000', '37.620000', '44.000000', '1619.000000', '362.000000', '1064.000000', '335.000000', '4.023800', '224200.000000']
['-118.130000', '34.150000', '24.000000', '1125.000000', '341.000000', '579.000000', '321.000000', '2.812500', '141700.000000']
['-122.000000', '37.980000', '32.000000', '1013.000000', '169.000000', '436.000000', '173.000000', '5.111800', '226900.000000']
['-118.450000', '34.250000', '36.000000', '1453.000000', '270.000000', '808.000000', '275.000000', '4.383900', '204600.000000']
['-117.500000', '33.870000', '4.000000', '6755.000000', '1017.000000', '2866.000000', '850.000000', '5.049300', '239800.000000']
['-122.220000', '37.840000', '50.000000', '2935.000000', '473.000000', '1031.000000', '479.000000', '7.500000', '295200.000000']
['-119.820000', '36.640000', '30.000000', '1694.000000', '312.000000', '1008.000000', '321.000000', '2.246600', '96000.000000']
['-120.210000', '36.770000', '20.000000', '1745.000000', '348.000000', '1093.000000', '302.000000', '2.319400', '90600.000000']
['-120.970000', '38.420000', '16.000000', '1748.000000', '322.000000', '4930.000000', '287.000000', '4.302900', '121900.000000']
['-121.190000', '38.870000', '20.000000', '3118.000000', '500.000000', '1405.000000', '519.000000', '6.000000', '209400.000000']
['-118.200000', '33.770000', '52.000000', '1375.000000', '457.000000', '1089.000000', '317.000000', '2.234400', '200000.000000']
['-118.300000', '34.020000', '49.000000', '2120.000000', '483.000000', '1522.000000', '416.000000', '1.850000', '116800.000000']
['-122.230000', '37.790000', '43.000000', '5963.000000', '1344.000000', '4367.000000', '1231.000000', '2.191700', '112800.000000']
['-121.310000', '38.620000', '31.000000', '3114.000000', '430.000000', '1121.000000', '456.000000', '6.244000', '240000.000000']
['-117.250000', '32.800000', '35.000000', '2281.000000', '506.000000', '1005.000000', '496.000000', '4.229600', '275000.000000']
['-118.260000', '33.990000', '36.000000', '2016.000000', '505.000000', '1807.000000', '464.000000', '1.690100', '103500.000000']
['-119.390000', '36.540000', '34.000000', '1590.000000', '422.000000', '1272.000000', '407.000000', '1.806800', '59000.000000']
['-121.510000', '38.520000', '30.000000', '3236.000000', '588.000000', '1167.000000', '569.000000', '4.097200', '181400.000000']
['-119.180000', '34.270000', '6.000000', '2307.000000', '386.000000', '910.000000', '364.000000', '5.215000', '279500.000000']
['-118.180000', '33.770000', '30.000000', '1418.000000', '439.000000', '720.000000', '417.000000', '2.637100', '159400.000000']
['-122.430000', '37.740000', '52.000000', '1514.000000', '314.000000', '724.000000', '301.000000', '5.329200', '300900.000000']
['-117.930000', '33.910000', '24.000000', '1698.000000', '297.000000', '676.000000', '273.000000', '5.201700', '364600.000000']
['-124.160000', '40.770000', '35.000000', '2141.000000', '438.000000', '1053.000000', '434.000000', '2.852900', '85600.000000']
['-117.950000', '33.630000', '27.000000', '2489.000000', '481.000000', '1082.000000', '443.000000', '5.877700', '358800.000000']
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['-122.390000', '37.780000', '3.000000', '3464.000000', '1179.000000', '1441.000000', '919.000000', '4.710500', '275000.000000']
['-117.060000', '34.870000', '14.000000', '3348.000000', '619.000000', '1756.000000', '557.000000', '3.598700', '91400.000000']
['-121.340000', '38.660000', '16.000000', '3154.000000', '860.000000', '1837.000000', '793.000000', '1.980500', '92900.000000']
['-121.920000', '36.950000', '29.000000', '3457.000000', '699.000000', '1327.000000', '563.000000', '3.659700', '252300.000000']
['-122.590000', '38.040000', '25.000000', '3412.000000', '455.000000', '1238.000000', '406.000000', '8.364600', '397300.000000']
['-118.280000', '34.110000', '46.000000', '1156.000000', '203.000000', '514.000000', '213.000000', '4.201900', '352100.000000']
['-121.390000', '38.600000', '22.000000', '5773.000000', '1320.000000', '2607.000000', '1250.000000', '2.523800', '118800.000000']
['-122.330000', '40.520000', '23.000000', '2801.000000', '507.000000', '1318.000000', '454.000000', '3.508100', '116700.000000']
['-118.200000', '34.040000', '47.000000', '1894.000000', '408.000000', '1629.000000', '379.000000', '3.761900', '127600.000000']
['-121.960000', '37.000000', '20.000000', '3847.000000', '727.000000', '1725.000000', '737.000000', '3.344700', '305200.000000']
['-117.890000', '33.870000', '32.000000', '1569.000000', '422.000000', '835.000000', '386.000000', '3.046500', '148900.000000']
['-117.230000', '32.880000', '18.000000', '5566.000000', '1465.000000', '6303.000000', '1458.000000', '1.858000', '205000.000000']
['-122.000000', '37.120000', '17.000000', '4413.000000', '672.000000', '1674.000000', '608.000000', '6.977200', '383300.000000']
['-118.400000', '34.280000', '22.000000', '3517.000000', '810.000000', '3134.000000', '847.000000', '2.665200', '164800.000000']
['-122.460000', '37.760000', '52.000000', '2236.000000', '545.000000', '1186.000000', '532.000000', '3.453100', '414300.000000']
['-121.990000', '37.540000', '18.000000', '3584.000000', '715.000000', '1673.000000', '661.000000', '3.944400', '240100.000000']
['-117.230000', '32.740000', '16.000000', '735.000000', '139.000000', '299.000000', '134.000000', '4.635400', '179200.000000']
['-121.840000', '37.290000', '4.000000', '2937.000000', '648.000000', '1780.000000', '665.000000', '4.385100', '160400.000000']
['-118.150000', '34.860000', '10.000000', '4597.000000', '1009.000000', '2227.000000', '821.000000', '2.614900', '83500.000000']
['-118.330000', '33.980000', '38.000000', '3063.000000', '796.000000', '2153.000000', '721.000000', '1.847200', '149100.000000']
['-120.680000', '35.510000', '17.000000', '1701.000000', '298.000000', '941.000000', '293.000000', '4.321800', '209100.000000']
['-117.950000', '33.790000', '34.000000', '2912.000000', '520.000000', '1625.000000', '501.000000', '4.466700', '190600.000000']
['-117.970000', '34.050000', '33.000000', '1452.000000', '268.000000', '1274.000000', '278.000000', '3.656300', '162700.000000']
['-119.750000', '36.870000', '3.000000', '13802.000000', '2244.000000', '5226.000000', '1972.000000', '5.094100', '143700.000000']
['-122.080000', '37.350000', '35.000000', '1347.000000', '207.000000', '548.000000', '189.000000', '7.706800', '500001.000000']
['-122.320000', '37.950000', '36.000000', '1425.000000', '245.000000', '573.000000', '239.000000', '4.350000', '185000.000000']
['-122.220000', '38.100000', '38.000000', '931.000000', '181.000000', '566.000000', '207.000000', '3.022100', '93300.000000']
['-124.090000', '40.550000', '24.000000', '2978.000000', '553.000000', '1370.000000', '480.000000', '2.764400', '97300.000000']
['-121.500000', '38.570000', '41.000000', '1124.000000', '344.000000', '807.000000', '316.000000', '1.471200', '94600.000000']
['-118.110000', '33.910000', '19.000000', '3056.000000', '759.000000', '1561.000000', '740.000000', '3.136900', '196900.000000']
['-121.230000', '37.960000', '37.000000', '2351.000000', '564.000000', '1591.000000', '549.000000', '1.656300', '57200.000000']
['-121.890000', '37.280000', '35.000000', '2418.000000', '375.000000', '988.000000', '374.000000', '6.093600', '365400.000000']
['-122.480000', '37.650000', '39.000000', '3348.000000', '666.000000', '1817.000000', '668.000000', '4.259300', '227400.000000']
['-118.310000', '34.090000', '36.000000', '2517.000000', '842.000000', '2446.000000', '689.000000', '2.152400', '187500.000000']
['-123.020000', '38.810000', '35.000000', '956.000000', '213.000000', '488.000000', '215.000000', '3.025000', '140600.000000']
['-120.470000', '34.650000', '32.000000', '2193.000000', '430.000000', '1074.000000', '377.000000', '2.333300', '130200.000000']
['-122.100000', '37.680000', '37.000000', '2116.000000', '503.000000', '1109.000000', '448.000000', '2.535000', '174000.000000']
['-122.420000', '37.790000', '52.000000', '3364.000000', '1100.000000', '2112.000000', '1045.000000', '2.134300', '400000.000000']
['-122.640000', '41.630000', '19.000000', '2722.000000', '479.000000', '1108.000000', '430.000000', '3.106200', '100000.000000']
['-118.020000', '33.910000', '34.000000', '2518.000000', '429.000000', '1309.000000', '421.000000', '4.786100', '210700.000000']
['-119.020000', '35.360000', '48.000000', '1833.000000', '396.000000', '947.000000', '363.000000', '2.282700', '70000.000000']
['-121.330000', '38.650000', '23.000000', '2446.000000', '523.000000', '1132.000000', '513.000000', '2.626600', '198500.000000']
['-118.080000', '33.950000', '32.000000', '1962.000000', '387.000000', '1274.000000', '398.000000', '4.830400', '160600.000000']
['-118.080000', '33.790000', '34.000000', '2840.000000', '395.000000', '1127.000000', '396.000000', '7.614400', '376200.000000']
['-118.230000', '33.910000', '27.000000', '1694.000000', '393.000000', '1890.000000', '373.000000', '3.034100', '89100.000000']
['-118.290000', '33.750000', '37.000000', '1319.000000', '292.000000', '766.000000', '285.000000', '2.703100', '218900.000000']
['-118.020000', '34.130000', '34.000000', '1966.000000', '319.000000', '980.000000', '297.000000', '7.730700', '429000.000000']
['-117.890000', '33.600000', '36.000000', '1496.000000', '247.000000', '441.000000', '203.000000', '7.816400', '500001.000000']
['-118.230000', '34.650000', '17.000000', '1827.000000', '348.000000', '766.000000', '335.000000', '3.567300', '136300.000000']
['-118.310000', '34.020000', '45.000000', '1423.000000', '278.000000', '822.000000', '276.000000', '2.451900', '98100.000000']
['-118.070000', '33.800000', '34.000000', '3486.000000', '507.000000', '1311.000000', '503.000000', '7.122100', '384500.000000']
['-118.250000', '33.940000', '43.000000', '1113.000000', '378.000000', '1305.000000', '334.000000', '1.143400', '91300.000000']
['-122.440000', '37.710000', '52.000000', '2711.000000', '591.000000', '1848.000000', '524.000000', '3.956700', '251500.000000']
['-119.750000', '34.500000', '26.000000', '3563.000000', '579.000000', '1479.000000', '575.000000', '5.952200', '438400.000000']
['-117.940000', '33.940000', '26.000000', '1962.000000', '540.000000', '1236.000000', '520.000000', '2.215600', '145000.000000']
['-119.230000', '34.170000', '18.000000', '6171.000000', '1490.000000', '2164.000000', '1210.000000', '3.687500', '500001.000000']
['-118.110000', '34.680000', '6.000000', '7430.000000', '1184.000000', '3489.000000', '1115.000000', '5.326700', '140100.000000']
['-122.470000', '37.770000', '52.000000', '2241.000000', '443.000000', '1042.000000', '377.000000', '4.163500', '398400.000000']
['-120.930000', '35.760000', '11.000000', '8997.000000', '1698.000000', '1825.000000', '756.000000', '3.230000', '154300.000000']
['-118.140000', '34.170000', '52.000000', '2667.000000', '486.000000', '1681.000000', '504.000000', '4.052400', '173100.000000']
['-122.730000', '38.460000', '14.000000', '4042.000000', '1298.000000', '2323.000000', '1158.000000', '2.065100', '135400.000000']
['-117.060000', '32.760000', '37.000000', '2356.000000', '476.000000', '1231.000000', '499.000000', '2.965000', '155700.000000']
['-120.710000', '35.500000', '12.000000', '3098.000000', '453.000000', '1433.000000', '434.000000', '5.250800', '292900.000000']
['-118.310000', '34.050000', '35.000000', '1692.000000', '423.000000', '1578.000000', '406.000000', '2.531300', '305800.000000']
['-119.700000', '36.750000', '11.000000', '3626.000000', '779.000000', '1819.000000', '731.000000', '2.495600', '87500.000000']
['-121.340000', '38.640000', '17.000000', '2761.000000', '501.000000', '1128.000000', '482.000000', '3.756200', '139700.000000']
['-117.910000', '34.090000', '20.000000', '4327.000000', '1037.000000', '2296.000000', '963.000000', '3.044100', '185400.000000']
['-119.760000', '36.790000', '32.000000', '2463.000000', '468.000000', '1261.000000', '486.000000', '3.328100', '75100.000000']
['-120.660000', '35.490000', '17.000000', '4422.000000', '945.000000', '2307.000000', '885.000000', '2.828500', '171300.000000']
['-118.280000', '34.080000', '42.000000', '1618.000000', '522.000000', '1454.000000', '440.000000', '3.160700', '182000.000000']
['-122.540000', '37.900000', '48.000000', '2491.000000', '460.000000', '937.000000', '455.000000', '4.437500', '370000.000000']
['-117.590000', '33.880000', '13.000000', '3239.000000', '849.000000', '2751.000000', '813.000000', '2.611100', '107000.000000']
['-120.470000', '34.940000', '17.000000', '1368.000000', '308.000000', '642.000000', '303.000000', '1.863300', '109400.000000']
['-118.250000', '33.930000', '42.000000', '819.000000', '233.000000', '899.000000', '228.000000', '1.134600', '85400.000000']
['-121.970000', '37.290000', '25.000000', '4096.000000', '743.000000', '2027.000000', '741.000000', '5.329400', '300300.000000']
['-122.010000', '36.970000', '43.000000', '2162.000000', '509.000000', '1208.000000', '464.000000', '2.541700', '260900.000000']
['-122.020000', '37.600000', '32.000000', '1295.000000', '295.000000', '1097.000000', '328.000000', '3.238600', '149600.000000']
['-118.230000', '34.090000', '49.000000', '1638.000000', '456.000000', '1500.000000', '430.000000', '2.692300', '150000.000000']
['-117.170000', '34.280000', '13.000000', '4867.000000', '718.000000', '780.000000', '250.000000', '7.199700', '253800.000000']
['-122.330000', '37.390000', '52.000000', '573.000000', '102.000000', '232.000000', '92.000000', '6.226300', '500001.000000']
['-117.910000', '33.600000', '37.000000', '2088.000000', '510.000000', '673.000000', '390.000000', '5.104800', '500001.000000']
['-117.930000', '33.860000', '35.000000', '931.000000', '181.000000', '516.000000', '174.000000', '5.586700', '182500.000000']
['-119.860000', '34.420000', '23.000000', '1450.000000', '642.000000', '1258.000000', '607.000000', '1.179000', '225000.000000']
['-118.140000', '34.060000', '27.000000', '5257.000000', '1082.000000', '3496.000000', '1036.000000', '3.390600', '237200.000000']
['-119.700000', '36.300000', '10.000000', '956.000000', '201.000000', '693.000000', '220.000000', '2.289500', '62000.000000']
['-117.120000', '34.100000', '40.000000', '96.000000', '14.000000', '46.000000', '14.000000', '3.270800', '162500.000000']
['-119.630000', '34.420000', '42.000000', '1765.000000', '263.000000', '753.000000', '260.000000', '8.560800', '500001.000000']
data22 = []
for row in csvReader:
data22.append(row)
data22[0] #위의 코드 titles에 있었던 ""이 사라짐
['longitude',
'latitude',
'housing_median_age',
'total_rooms',
'total_bedrooms',
'population',
'households',
'median_income',
'median_house_value']
data22[1]
['-122.050000',
'37.370000',
'27.000000',
'3885.000000',
'661.000000',
'1537.000000',
'606.000000',
'6.608500',
'344700.000000']
csvReader = csv.DictReader(open("california_housing_test.csv"))
- csv.DictWriter()
csv파일을 작성할 때 사전 형식으로 파일을 쓸 수 있다.
여기에 사용되는 것이 csv.DictWriter()인데 csv.writer()대신에 사용한다.
보통 엑셀파일을 보면 맨 윗 열에 field명이 있는데 이를 선언하고 작성하는 것
도 가능하다.
csvReader.fieldnames
['longitude',
'latitude',
'housing_median_age',
'total_rooms',
'total_bedrooms',
'population',
'households',
'median_income',
'median_house_value']
data22[1]
['-122.050000',
'37.370000',
'27.000000',
'3885.000000',
'661.000000',
'1537.000000',
'606.000000',
'6.608500',
'344700.000000']
# dictionary 사전 형태로 출력함
for row in csvReader:
print(row)
break
{'longitude': '-122.050000', 'latitude': '37.370000', 'housing_median_age': '27.000000', 'total_rooms': '3885.000000', 'total_bedrooms': '661.000000', 'population': '1537.000000', 'households': '606.000000', 'median_income': '6.608500', 'median_house_value': '344700.000000'}
######
import pandas as pd
help(pd)
Help on package pandas:
NAME
pandas
DESCRIPTION
pandas - a powerful data analysis and manipulation library for Python
=====================================================================
**pandas** is a Python package providing fast, flexible, and expressive data
structures designed to make working with "relational" or "labeled" data both
easy and intuitive. It aims to be the fundamental high-level building block for
doing practical, **real world** data analysis in Python. Additionally, it has
the broader goal of becoming **the most powerful and flexible open source data
analysis / manipulation tool available in any language**. It is already well on
its way toward this goal.
Main Features
-------------
Here are just a few of the things that pandas does well:
- Easy handling of missing data in floating point as well as non-floating
point data.
- Size mutability: columns can be inserted and deleted from DataFrame and
higher dimensional objects
- Automatic and explicit data alignment: objects can be explicitly aligned
to a set of labels, or the user can simply ignore the labels and let
`Series`, `DataFrame`, etc. automatically align the data for you in
computations.
- Powerful, flexible group by functionality to perform split-apply-combine
operations on data sets, for both aggregating and transforming data.
- Make it easy to convert ragged, differently-indexed data in other Python
and NumPy data structures into DataFrame objects.
- Intelligent label-based slicing, fancy indexing, and subsetting of large
data sets.
- Intuitive merging and joining data sets.
- Flexible reshaping and pivoting of data sets.
- Hierarchical labeling of axes (possible to have multiple labels per tick).
- Robust IO tools for loading data from flat files (CSV and delimited),
Excel files, databases, and saving/loading data from the ultrafast HDF5
format.
- Time series-specific functionality: date range generation and frequency
conversion, moving window statistics, date shifting and lagging.
PACKAGE CONTENTS
_config (package)
_libs (package)
_testing (package)
_typing
_version
api (package)
arrays (package)
compat (package)
conftest
core (package)
errors (package)
io (package)
plotting (package)
testing
tests (package)
tseries (package)
util (package)
SUBMODULES
_hashtable
_lib
_tslib
offsets
FUNCTIONS
__getattr__(name)
# GH 27101
DATA
IndexSlice = <pandas.core.indexing._IndexSlice object>
NA = <NA>
NaT = NaT
__docformat__ = 'restructuredtext'
__git_version__ = 'c7f7443c1bad8262358114d5e88cd9c8a308e8aa'
describe_option = <pandas._config.config.CallableDynamicDoc object>
get_option = <pandas._config.config.CallableDynamicDoc object>
options = <pandas._config.config.DictWrapper object>
reset_option = <pandas._config.config.CallableDynamicDoc object>
set_option = <pandas._config.config.CallableDynamicDoc object>
VERSION
1.3.1
FILE
c:\users\mycom\anaconda3\lib\site-packages\pandas\__init__.py
df = pd.read_csv("california_housing_test.csv")
df
| longitude | latitude | housing_median_age | total_rooms | total_bedrooms | population | households | median_income | median_house_value | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | -122.05 | 37.37 | 27.0 | 3885.0 | 661.0 | 1537.0 | 606.0 | 6.6085 | 344700.0 |
| 1 | -118.30 | 34.26 | 43.0 | 1510.0 | 310.0 | 809.0 | 277.0 | 3.5990 | 176500.0 |
| 2 | -117.81 | 33.78 | 27.0 | 3589.0 | 507.0 | 1484.0 | 495.0 | 5.7934 | 270500.0 |
| 3 | -118.36 | 33.82 | 28.0 | 67.0 | 15.0 | 49.0 | 11.0 | 6.1359 | 330000.0 |
| 4 | -119.67 | 36.33 | 19.0 | 1241.0 | 244.0 | 850.0 | 237.0 | 2.9375 | 81700.0 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 2995 | -119.86 | 34.42 | 23.0 | 1450.0 | 642.0 | 1258.0 | 607.0 | 1.1790 | 225000.0 |
| 2996 | -118.14 | 34.06 | 27.0 | 5257.0 | 1082.0 | 3496.0 | 1036.0 | 3.3906 | 237200.0 |
| 2997 | -119.70 | 36.30 | 10.0 | 956.0 | 201.0 | 693.0 | 220.0 | 2.2895 | 62000.0 |
| 2998 | -117.12 | 34.10 | 40.0 | 96.0 | 14.0 | 46.0 | 14.0 | 3.2708 | 162500.0 |
| 2999 | -119.63 | 34.42 | 42.0 | 1765.0 | 263.0 | 753.0 | 260.0 | 8.5608 | 500001.0 |
3000 rows × 9 columns
help(df)
Help on DataFrame in module pandas.core.frame object:
class DataFrame(pandas.core.generic.NDFrame, pandas.core.arraylike.OpsMixin)
| DataFrame(data=None, index: 'Axes | None' = None, columns: 'Axes | None' = None, dtype: 'Dtype | None' = None, copy: 'bool | None' = None)
|
| Two-dimensional, size-mutable, potentially heterogeneous tabular data.
|
| Data structure also contains labeled axes (rows and columns).
| Arithmetic operations align on both row and column labels. Can be
| thought of as a dict-like container for Series objects. The primary
| pandas data structure.
|
| Parameters
| ----------
| data : ndarray (structured or homogeneous), Iterable, dict, or DataFrame
| Dict can contain Series, arrays, constants, dataclass or list-like objects. If
| data is a dict, column order follows insertion-order.
|
| .. versionchanged:: 0.25.0
| If data is a list of dicts, column order follows insertion-order.
|
| index : Index or array-like
| Index to use for resulting frame. Will default to RangeIndex if
| no indexing information part of input data and no index provided.
| columns : Index or array-like
| Column labels to use for resulting frame when data does not have them,
| defaulting to RangeIndex(0, 1, 2, ..., n). If data contains column labels,
| will perform column selection instead.
| dtype : dtype, default None
| Data type to force. Only a single dtype is allowed. If None, infer.
| copy : bool or None, default None
| Copy data from inputs.
| For dict data, the default of None behaves like ``copy=True``. For DataFrame
| or 2d ndarray input, the default of None behaves like ``copy=False``.
|
| .. versionchanged:: 1.3.0
|
| See Also
| --------
| DataFrame.from_records : Constructor from tuples, also record arrays.
| DataFrame.from_dict : From dicts of Series, arrays, or dicts.
| read_csv : Read a comma-separated values (csv) file into DataFrame.
| read_table : Read general delimited file into DataFrame.
| read_clipboard : Read text from clipboard into DataFrame.
|
| Examples
| --------
| Constructing DataFrame from a dictionary.
|
| >>> d = {'col1': [1, 2], 'col2': [3, 4]}
| >>> df = pd.DataFrame(data=d)
| >>> df
| col1 col2
| 0 1 3
| 1 2 4
|
| Notice that the inferred dtype is int64.
|
| >>> df.dtypes
| col1 int64
| col2 int64
| dtype: object
|
| To enforce a single dtype:
|
| >>> df = pd.DataFrame(data=d, dtype=np.int8)
| >>> df.dtypes
| col1 int8
| col2 int8
| dtype: object
|
| Constructing DataFrame from numpy ndarray:
|
| >>> df2 = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
| ... columns=['a', 'b', 'c'])
| >>> df2
| a b c
| 0 1 2 3
| 1 4 5 6
| 2 7 8 9
|
| Constructing DataFrame from a numpy ndarray that has labeled columns:
|
| >>> data = np.array([(1, 2, 3), (4, 5, 6), (7, 8, 9)],
| ... dtype=[("a", "i4"), ("b", "i4"), ("c", "i4")])
| >>> df3 = pd.DataFrame(data, columns=['c', 'a'])
| ...
| >>> df3
| c a
| 0 3 1
| 1 6 4
| 2 9 7
|
| Constructing DataFrame from dataclass:
|
| >>> from dataclasses import make_dataclass
| >>> Point = make_dataclass("Point", [("x", int), ("y", int)])
| >>> pd.DataFrame([Point(0, 0), Point(0, 3), Point(2, 3)])
| x y
| 0 0 0
| 1 0 3
| 2 2 3
|
| Method resolution order:
| DataFrame
| pandas.core.generic.NDFrame
| pandas.core.base.PandasObject
| pandas.core.accessor.DirNamesMixin
| pandas.core.indexing.IndexingMixin
| pandas.core.arraylike.OpsMixin
| builtins.object
|
| Methods defined here:
|
| __divmod__(self, other) -> 'tuple[DataFrame, DataFrame]'
|
| __getitem__(self, key)
|
| __init__(self, data=None, index: 'Axes | None' = None, columns: 'Axes | None' = None, dtype: 'Dtype | None' = None, copy: 'bool | None' = None)
| Initialize self. See help(type(self)) for accurate signature.
|
| __len__(self) -> 'int'
| Returns length of info axis, but here we use the index.
|
| __matmul__(self, other: 'AnyArrayLike | FrameOrSeriesUnion') -> 'FrameOrSeriesUnion'
| Matrix multiplication using binary `@` operator in Python>=3.5.
|
| __rdivmod__(self, other) -> 'tuple[DataFrame, DataFrame]'
|
| __repr__(self) -> 'str'
| Return a string representation for a particular DataFrame.
|
| __rmatmul__(self, other)
| Matrix multiplication using binary `@` operator in Python>=3.5.
|
| __setitem__(self, key, value)
|
| add(self, other, axis='columns', level=None, fill_value=None)
| Get Addition of dataframe and other, element-wise (binary operator `add`).
|
| Equivalent to ``dataframe + other``, but with support to substitute a fill_value
| for missing data in one of the inputs. With reverse version, `radd`.
|
| Among flexible wrappers (`add`, `sub`, `mul`, `div`, `mod`, `pow`) to
| arithmetic operators: `+`, `-`, `*`, `/`, `//`, `%`, `**`.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns'). For Series input, axis to match Series index on.
| level : int or label
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| fill_value : float or None, default None
| Fill existing missing (NaN) values, and any new element needed for
| successful DataFrame alignment, with this value before computation.
| If data in both corresponding DataFrame locations is missing
| the result will be missing.
|
| Returns
| -------
| DataFrame
| Result of the arithmetic operation.
|
| See Also
| --------
| DataFrame.add : Add DataFrames.
| DataFrame.sub : Subtract DataFrames.
| DataFrame.mul : Multiply DataFrames.
| DataFrame.div : Divide DataFrames (float division).
| DataFrame.truediv : Divide DataFrames (float division).
| DataFrame.floordiv : Divide DataFrames (integer division).
| DataFrame.mod : Calculate modulo (remainder after division).
| DataFrame.pow : Calculate exponential power.
|
| Notes
| -----
| Mismatched indices will be unioned together.
|
| Examples
| --------
| >>> df = pd.DataFrame({'angles': [0, 3, 4],
| ... 'degrees': [360, 180, 360]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> df
| angles degrees
| circle 0 360
| triangle 3 180
| rectangle 4 360
|
| Add a scalar with operator version which return the same
| results.
|
| >>> df + 1
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| >>> df.add(1)
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| Divide by constant with reverse version.
|
| >>> df.div(10)
| angles degrees
| circle 0.0 36.0
| triangle 0.3 18.0
| rectangle 0.4 36.0
|
| >>> df.rdiv(10)
| angles degrees
| circle inf 0.027778
| triangle 3.333333 0.055556
| rectangle 2.500000 0.027778
|
| Subtract a list and Series by axis with operator version.
|
| >>> df - [1, 2]
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub([1, 2], axis='columns')
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub(pd.Series([1, 1, 1], index=['circle', 'triangle', 'rectangle']),
| ... axis='index')
| angles degrees
| circle -1 359
| triangle 2 179
| rectangle 3 359
|
| Multiply a DataFrame of different shape with operator version.
|
| >>> other = pd.DataFrame({'angles': [0, 3, 4]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> other
| angles
| circle 0
| triangle 3
| rectangle 4
|
| >>> df * other
| angles degrees
| circle 0 NaN
| triangle 9 NaN
| rectangle 16 NaN
|
| >>> df.mul(other, fill_value=0)
| angles degrees
| circle 0 0.0
| triangle 9 0.0
| rectangle 16 0.0
|
| Divide by a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'angles': [0, 3, 4, 4, 5, 6],
| ... 'degrees': [360, 180, 360, 360, 540, 720]},
| ... index=[['A', 'A', 'A', 'B', 'B', 'B'],
| ... ['circle', 'triangle', 'rectangle',
| ... 'square', 'pentagon', 'hexagon']])
| >>> df_multindex
| angles degrees
| A circle 0 360
| triangle 3 180
| rectangle 4 360
| B square 4 360
| pentagon 5 540
| hexagon 6 720
|
| >>> df.div(df_multindex, level=1, fill_value=0)
| angles degrees
| A circle NaN 1.0
| triangle 1.0 1.0
| rectangle 1.0 1.0
| B square 0.0 0.0
| pentagon 0.0 0.0
| hexagon 0.0 0.0
|
| agg = aggregate(self, func=None, axis: 'Axis' = 0, *args, **kwargs)
|
| aggregate(self, func=None, axis: 'Axis' = 0, *args, **kwargs)
| Aggregate using one or more operations over the specified axis.
|
| Parameters
| ----------
| func : function, str, list or dict
| Function to use for aggregating the data. If a function, must either
| work when passed a DataFrame or when passed to DataFrame.apply.
|
| Accepted combinations are:
|
| - function
| - string function name
| - list of functions and/or function names, e.g. ``[np.sum, 'mean']``
| - dict of axis labels -> functions, function names or list of such.
| axis : {0 or 'index', 1 or 'columns'}, default 0
| If 0 or 'index': apply function to each column.
| If 1 or 'columns': apply function to each row.
| *args
| Positional arguments to pass to `func`.
| **kwargs
| Keyword arguments to pass to `func`.
|
| Returns
| -------
| scalar, Series or DataFrame
|
| The return can be:
|
| * scalar : when Series.agg is called with single function
| * Series : when DataFrame.agg is called with a single function
| * DataFrame : when DataFrame.agg is called with several functions
|
| Return scalar, Series or DataFrame.
|
| The aggregation operations are always performed over an axis, either the
| index (default) or the column axis. This behavior is different from
| `numpy` aggregation functions (`mean`, `median`, `prod`, `sum`, `std`,
| `var`), where the default is to compute the aggregation of the flattened
| array, e.g., ``numpy.mean(arr_2d)`` as opposed to
| ``numpy.mean(arr_2d, axis=0)``.
|
| `agg` is an alias for `aggregate`. Use the alias.
|
| See Also
| --------
| DataFrame.apply : Perform any type of operations.
| DataFrame.transform : Perform transformation type operations.
| core.groupby.GroupBy : Perform operations over groups.
| core.resample.Resampler : Perform operations over resampled bins.
| core.window.Rolling : Perform operations over rolling window.
| core.window.Expanding : Perform operations over expanding window.
| core.window.ExponentialMovingWindow : Perform operation over exponential weighted
| window.
|
| Notes
| -----
| `agg` is an alias for `aggregate`. Use the alias.
|
| Functions that mutate the passed object can produce unexpected
| behavior or errors and are not supported. See :ref:`gotchas.udf-mutation`
| for more details.
|
| A passed user-defined-function will be passed a Series for evaluation.
|
| Examples
| --------
| >>> df = pd.DataFrame([[1, 2, 3],
| ... [4, 5, 6],
| ... [7, 8, 9],
| ... [np.nan, np.nan, np.nan]],
| ... columns=['A', 'B', 'C'])
|
| Aggregate these functions over the rows.
|
| >>> df.agg(['sum', 'min'])
| A B C
| sum 12.0 15.0 18.0
| min 1.0 2.0 3.0
|
| Different aggregations per column.
|
| >>> df.agg({'A' : ['sum', 'min'], 'B' : ['min', 'max']})
| A B
| sum 12.0 NaN
| min 1.0 2.0
| max NaN 8.0
|
| Aggregate different functions over the columns and rename the index of the resulting
| DataFrame.
|
| >>> df.agg(x=('A', max), y=('B', 'min'), z=('C', np.mean))
| A B C
| x 7.0 NaN NaN
| y NaN 2.0 NaN
| z NaN NaN 6.0
|
| Aggregate over the columns.
|
| >>> df.agg("mean", axis="columns")
| 0 2.0
| 1 5.0
| 2 8.0
| 3 NaN
| dtype: float64
|
| align(self, other, join: 'str' = 'outer', axis: 'Axis | None' = None, level: 'Level | None' = None, copy: 'bool' = True, fill_value=None, method: 'str | None' = None, limit=None, fill_axis: 'Axis' = 0, broadcast_axis: 'Axis | None' = None) -> 'DataFrame'
| Align two objects on their axes with the specified join method.
|
| Join method is specified for each axis Index.
|
| Parameters
| ----------
| other : DataFrame or Series
| join : {'outer', 'inner', 'left', 'right'}, default 'outer'
| axis : allowed axis of the other object, default None
| Align on index (0), columns (1), or both (None).
| level : int or level name, default None
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| copy : bool, default True
| Always returns new objects. If copy=False and no reindexing is
| required then original objects are returned.
| fill_value : scalar, default np.NaN
| Value to use for missing values. Defaults to NaN, but can be any
| "compatible" value.
| method : {'backfill', 'bfill', 'pad', 'ffill', None}, default None
| Method to use for filling holes in reindexed Series:
|
| - pad / ffill: propagate last valid observation forward to next valid.
| - backfill / bfill: use NEXT valid observation to fill gap.
|
| limit : int, default None
| If method is specified, this is the maximum number of consecutive
| NaN values to forward/backward fill. In other words, if there is
| a gap with more than this number of consecutive NaNs, it will only
| be partially filled. If method is not specified, this is the
| maximum number of entries along the entire axis where NaNs will be
| filled. Must be greater than 0 if not None.
| fill_axis : {0 or 'index', 1 or 'columns'}, default 0
| Filling axis, method and limit.
| broadcast_axis : {0 or 'index', 1 or 'columns'}, default None
| Broadcast values along this axis, if aligning two objects of
| different dimensions.
|
| Returns
| -------
| (left, right) : (DataFrame, type of other)
| Aligned objects.
|
| all(self, axis=0, bool_only=None, skipna=True, level=None, **kwargs)
| Return whether all elements are True, potentially over an axis.
|
| Returns True unless there at least one element within a series or
| along a Dataframe axis that is False or equivalent (e.g. zero or
| empty).
|
| Parameters
| ----------
| axis : {0 or 'index', 1 or 'columns', None}, default 0
| Indicate which axis or axes should be reduced.
|
| * 0 / 'index' : reduce the index, return a Series whose index is the
| original column labels.
| * 1 / 'columns' : reduce the columns, return a Series whose index is the
| original index.
| * None : reduce all axes, return a scalar.
|
| bool_only : bool, default None
| Include only boolean columns. If None, will attempt to use everything,
| then use only boolean data. Not implemented for Series.
| skipna : bool, default True
| Exclude NA/null values. If the entire row/column is NA and skipna is
| True, then the result will be True, as for an empty row/column.
| If skipna is False, then NA are treated as True, because these are not
| equal to zero.
| level : int or level name, default None
| If the axis is a MultiIndex (hierarchical), count along a
| particular level, collapsing into a Series.
| **kwargs : any, default None
| Additional keywords have no effect but might be accepted for
| compatibility with NumPy.
|
| Returns
| -------
| Series or DataFrame
| If level is specified, then, DataFrame is returned; otherwise, Series
| is returned.
|
| See Also
| --------
| Series.all : Return True if all elements are True.
| DataFrame.any : Return True if one (or more) elements are True.
|
| Examples
| --------
| **Series**
|
| >>> pd.Series([True, True]).all()
| True
| >>> pd.Series([True, False]).all()
| False
| >>> pd.Series([], dtype="float64").all()
| True
| >>> pd.Series([np.nan]).all()
| True
| >>> pd.Series([np.nan]).all(skipna=False)
| True
|
| **DataFrames**
|
| Create a dataframe from a dictionary.
|
| >>> df = pd.DataFrame({'col1': [True, True], 'col2': [True, False]})
| >>> df
| col1 col2
| 0 True True
| 1 True False
|
| Default behaviour checks if column-wise values all return True.
|
| >>> df.all()
| col1 True
| col2 False
| dtype: bool
|
| Specify ``axis='columns'`` to check if row-wise values all return True.
|
| >>> df.all(axis='columns')
| 0 True
| 1 False
| dtype: bool
|
| Or ``axis=None`` for whether every value is True.
|
| >>> df.all(axis=None)
| False
|
| any(self, axis=0, bool_only=None, skipna=True, level=None, **kwargs)
| Return whether any element is True, potentially over an axis.
|
| Returns False unless there is at least one element within a series or
| along a Dataframe axis that is True or equivalent (e.g. non-zero or
| non-empty).
|
| Parameters
| ----------
| axis : {0 or 'index', 1 or 'columns', None}, default 0
| Indicate which axis or axes should be reduced.
|
| * 0 / 'index' : reduce the index, return a Series whose index is the
| original column labels.
| * 1 / 'columns' : reduce the columns, return a Series whose index is the
| original index.
| * None : reduce all axes, return a scalar.
|
| bool_only : bool, default None
| Include only boolean columns. If None, will attempt to use everything,
| then use only boolean data. Not implemented for Series.
| skipna : bool, default True
| Exclude NA/null values. If the entire row/column is NA and skipna is
| True, then the result will be False, as for an empty row/column.
| If skipna is False, then NA are treated as True, because these are not
| equal to zero.
| level : int or level name, default None
| If the axis is a MultiIndex (hierarchical), count along a
| particular level, collapsing into a Series.
| **kwargs : any, default None
| Additional keywords have no effect but might be accepted for
| compatibility with NumPy.
|
| Returns
| -------
| Series or DataFrame
| If level is specified, then, DataFrame is returned; otherwise, Series
| is returned.
|
| See Also
| --------
| numpy.any : Numpy version of this method.
| Series.any : Return whether any element is True.
| Series.all : Return whether all elements are True.
| DataFrame.any : Return whether any element is True over requested axis.
| DataFrame.all : Return whether all elements are True over requested axis.
|
| Examples
| --------
| **Series**
|
| For Series input, the output is a scalar indicating whether any element
| is True.
|
| >>> pd.Series([False, False]).any()
| False
| >>> pd.Series([True, False]).any()
| True
| >>> pd.Series([], dtype="float64").any()
| False
| >>> pd.Series([np.nan]).any()
| False
| >>> pd.Series([np.nan]).any(skipna=False)
| True
|
| **DataFrame**
|
| Whether each column contains at least one True element (the default).
|
| >>> df = pd.DataFrame({"A": [1, 2], "B": [0, 2], "C": [0, 0]})
| >>> df
| A B C
| 0 1 0 0
| 1 2 2 0
|
| >>> df.any()
| A True
| B True
| C False
| dtype: bool
|
| Aggregating over the columns.
|
| >>> df = pd.DataFrame({"A": [True, False], "B": [1, 2]})
| >>> df
| A B
| 0 True 1
| 1 False 2
|
| >>> df.any(axis='columns')
| 0 True
| 1 True
| dtype: bool
|
| >>> df = pd.DataFrame({"A": [True, False], "B": [1, 0]})
| >>> df
| A B
| 0 True 1
| 1 False 0
|
| >>> df.any(axis='columns')
| 0 True
| 1 False
| dtype: bool
|
| Aggregating over the entire DataFrame with ``axis=None``.
|
| >>> df.any(axis=None)
| True
|
| `any` for an empty DataFrame is an empty Series.
|
| >>> pd.DataFrame([]).any()
| Series([], dtype: bool)
|
| append(self, other, ignore_index: 'bool' = False, verify_integrity: 'bool' = False, sort: 'bool' = False) -> 'DataFrame'
| Append rows of `other` to the end of caller, returning a new object.
|
| Columns in `other` that are not in the caller are added as new columns.
|
| Parameters
| ----------
| other : DataFrame or Series/dict-like object, or list of these
| The data to append.
| ignore_index : bool, default False
| If True, the resulting axis will be labeled 0, 1, …, n - 1.
| verify_integrity : bool, default False
| If True, raise ValueError on creating index with duplicates.
| sort : bool, default False
| Sort columns if the columns of `self` and `other` are not aligned.
|
| .. versionchanged:: 1.0.0
|
| Changed to not sort by default.
|
| Returns
| -------
| DataFrame
| A new DataFrame consisting of the rows of caller and the rows of `other`.
|
| See Also
| --------
| concat : General function to concatenate DataFrame or Series objects.
|
| Notes
| -----
| If a list of dict/series is passed and the keys are all contained in
| the DataFrame's index, the order of the columns in the resulting
| DataFrame will be unchanged.
|
| Iteratively appending rows to a DataFrame can be more computationally
| intensive than a single concatenate. A better solution is to append
| those rows to a list and then concatenate the list with the original
| DataFrame all at once.
|
| Examples
| --------
| >>> df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'), index=['x', 'y'])
| >>> df
| A B
| x 1 2
| y 3 4
| >>> df2 = pd.DataFrame([[5, 6], [7, 8]], columns=list('AB'), index=['x', 'y'])
| >>> df.append(df2)
| A B
| x 1 2
| y 3 4
| x 5 6
| y 7 8
|
| With `ignore_index` set to True:
|
| >>> df.append(df2, ignore_index=True)
| A B
| 0 1 2
| 1 3 4
| 2 5 6
| 3 7 8
|
| The following, while not recommended methods for generating DataFrames,
| show two ways to generate a DataFrame from multiple data sources.
|
| Less efficient:
|
| >>> df = pd.DataFrame(columns=['A'])
| >>> for i in range(5):
| ... df = df.append({'A': i}, ignore_index=True)
| >>> df
| A
| 0 0
| 1 1
| 2 2
| 3 3
| 4 4
|
| More efficient:
|
| >>> pd.concat([pd.DataFrame([i], columns=['A']) for i in range(5)],
| ... ignore_index=True)
| A
| 0 0
| 1 1
| 2 2
| 3 3
| 4 4
|
| apply(self, func: 'AggFuncType', axis: 'Axis' = 0, raw: 'bool' = False, result_type=None, args=(), **kwargs)
| Apply a function along an axis of the DataFrame.
|
| Objects passed to the function are Series objects whose index is
| either the DataFrame's index (``axis=0``) or the DataFrame's columns
| (``axis=1``). By default (``result_type=None``), the final return type
| is inferred from the return type of the applied function. Otherwise,
| it depends on the `result_type` argument.
|
| Parameters
| ----------
| func : function
| Function to apply to each column or row.
| axis : {0 or 'index', 1 or 'columns'}, default 0
| Axis along which the function is applied:
|
| * 0 or 'index': apply function to each column.
| * 1 or 'columns': apply function to each row.
|
| raw : bool, default False
| Determines if row or column is passed as a Series or ndarray object:
|
| * ``False`` : passes each row or column as a Series to the
| function.
| * ``True`` : the passed function will receive ndarray objects
| instead.
| If you are just applying a NumPy reduction function this will
| achieve much better performance.
|
| result_type : {'expand', 'reduce', 'broadcast', None}, default None
| These only act when ``axis=1`` (columns):
|
| * 'expand' : list-like results will be turned into columns.
| * 'reduce' : returns a Series if possible rather than expanding
| list-like results. This is the opposite of 'expand'.
| * 'broadcast' : results will be broadcast to the original shape
| of the DataFrame, the original index and columns will be
| retained.
|
| The default behaviour (None) depends on the return value of the
| applied function: list-like results will be returned as a Series
| of those. However if the apply function returns a Series these
| are expanded to columns.
| args : tuple
| Positional arguments to pass to `func` in addition to the
| array/series.
| **kwargs
| Additional keyword arguments to pass as keywords arguments to
| `func`.
|
| Returns
| -------
| Series or DataFrame
| Result of applying ``func`` along the given axis of the
| DataFrame.
|
| See Also
| --------
| DataFrame.applymap: For elementwise operations.
| DataFrame.aggregate: Only perform aggregating type operations.
| DataFrame.transform: Only perform transforming type operations.
|
| Notes
| -----
| Functions that mutate the passed object can produce unexpected
| behavior or errors and are not supported. See :ref:`gotchas.udf-mutation`
| for more details.
|
| Examples
| --------
| >>> df = pd.DataFrame([[4, 9]] * 3, columns=['A', 'B'])
| >>> df
| A B
| 0 4 9
| 1 4 9
| 2 4 9
|
| Using a numpy universal function (in this case the same as
| ``np.sqrt(df)``):
|
| >>> df.apply(np.sqrt)
| A B
| 0 2.0 3.0
| 1 2.0 3.0
| 2 2.0 3.0
|
| Using a reducing function on either axis
|
| >>> df.apply(np.sum, axis=0)
| A 12
| B 27
| dtype: int64
|
| >>> df.apply(np.sum, axis=1)
| 0 13
| 1 13
| 2 13
| dtype: int64
|
| Returning a list-like will result in a Series
|
| >>> df.apply(lambda x: [1, 2], axis=1)
| 0 [1, 2]
| 1 [1, 2]
| 2 [1, 2]
| dtype: object
|
| Passing ``result_type='expand'`` will expand list-like results
| to columns of a Dataframe
|
| >>> df.apply(lambda x: [1, 2], axis=1, result_type='expand')
| 0 1
| 0 1 2
| 1 1 2
| 2 1 2
|
| Returning a Series inside the function is similar to passing
| ``result_type='expand'``. The resulting column names
| will be the Series index.
|
| >>> df.apply(lambda x: pd.Series([1, 2], index=['foo', 'bar']), axis=1)
| foo bar
| 0 1 2
| 1 1 2
| 2 1 2
|
| Passing ``result_type='broadcast'`` will ensure the same shape
| result, whether list-like or scalar is returned by the function,
| and broadcast it along the axis. The resulting column names will
| be the originals.
|
| >>> df.apply(lambda x: [1, 2], axis=1, result_type='broadcast')
| A B
| 0 1 2
| 1 1 2
| 2 1 2
|
| applymap(self, func: 'PythonFuncType', na_action: 'str | None' = None, **kwargs) -> 'DataFrame'
| Apply a function to a Dataframe elementwise.
|
| This method applies a function that accepts and returns a scalar
| to every element of a DataFrame.
|
| Parameters
| ----------
| func : callable
| Python function, returns a single value from a single value.
| na_action : {None, 'ignore'}, default None
| If ‘ignore’, propagate NaN values, without passing them to func.
|
| .. versionadded:: 1.2
|
| **kwargs
| Additional keyword arguments to pass as keywords arguments to
| `func`.
|
| .. versionadded:: 1.3.0
|
| Returns
| -------
| DataFrame
| Transformed DataFrame.
|
| See Also
| --------
| DataFrame.apply : Apply a function along input axis of DataFrame.
|
| Examples
| --------
| >>> df = pd.DataFrame([[1, 2.12], [3.356, 4.567]])
| >>> df
| 0 1
| 0 1.000 2.120
| 1 3.356 4.567
|
| >>> df.applymap(lambda x: len(str(x)))
| 0 1
| 0 3 4
| 1 5 5
|
| Like Series.map, NA values can be ignored:
|
| >>> df_copy = df.copy()
| >>> df_copy.iloc[0, 0] = pd.NA
| >>> df_copy.applymap(lambda x: len(str(x)), na_action='ignore')
| 0 1
| 0 <NA> 4
| 1 5 5
|
| Note that a vectorized version of `func` often exists, which will
| be much faster. You could square each number elementwise.
|
| >>> df.applymap(lambda x: x**2)
| 0 1
| 0 1.000000 4.494400
| 1 11.262736 20.857489
|
| But it's better to avoid applymap in that case.
|
| >>> df ** 2
| 0 1
| 0 1.000000 4.494400
| 1 11.262736 20.857489
|
| asfreq(self, freq: 'Frequency', method=None, how: 'str | None' = None, normalize: 'bool' = False, fill_value=None) -> 'DataFrame'
| Convert time series to specified frequency.
|
| Returns the original data conformed to a new index with the specified
| frequency.
|
| If the index of this DataFrame is a :class:`~pandas.PeriodIndex`, the new index
| is the result of transforming the original index with
| :meth:`PeriodIndex.asfreq <pandas.PeriodIndex.asfreq>` (so the original index
| will map one-to-one to the new index).
|
| Otherwise, the new index will be equivalent to ``pd.date_range(start, end,
| freq=freq)`` where ``start`` and ``end`` are, respectively, the first and
| last entries in the original index (see :func:`pandas.date_range`). The
| values corresponding to any timesteps in the new index which were not present
| in the original index will be null (``NaN``), unless a method for filling
| such unknowns is provided (see the ``method`` parameter below).
|
| The :meth:`resample` method is more appropriate if an operation on each group of
| timesteps (such as an aggregate) is necessary to represent the data at the new
| frequency.
|
| Parameters
| ----------
| freq : DateOffset or str
| Frequency DateOffset or string.
| method : {'backfill'/'bfill', 'pad'/'ffill'}, default None
| Method to use for filling holes in reindexed Series (note this
| does not fill NaNs that already were present):
|
| * 'pad' / 'ffill': propagate last valid observation forward to next
| valid
| * 'backfill' / 'bfill': use NEXT valid observation to fill.
| how : {'start', 'end'}, default end
| For PeriodIndex only (see PeriodIndex.asfreq).
| normalize : bool, default False
| Whether to reset output index to midnight.
| fill_value : scalar, optional
| Value to use for missing values, applied during upsampling (note
| this does not fill NaNs that already were present).
|
| Returns
| -------
| DataFrame
| DataFrame object reindexed to the specified frequency.
|
| See Also
| --------
| reindex : Conform DataFrame to new index with optional filling logic.
|
| Notes
| -----
| To learn more about the frequency strings, please see `this link
| <https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
|
| Examples
| --------
| Start by creating a series with 4 one minute timestamps.
|
| >>> index = pd.date_range('1/1/2000', periods=4, freq='T')
| >>> series = pd.Series([0.0, None, 2.0, 3.0], index=index)
| >>> df = pd.DataFrame({'s': series})
| >>> df
| s
| 2000-01-01 00:00:00 0.0
| 2000-01-01 00:01:00 NaN
| 2000-01-01 00:02:00 2.0
| 2000-01-01 00:03:00 3.0
|
| Upsample the series into 30 second bins.
|
| >>> df.asfreq(freq='30S')
| s
| 2000-01-01 00:00:00 0.0
| 2000-01-01 00:00:30 NaN
| 2000-01-01 00:01:00 NaN
| 2000-01-01 00:01:30 NaN
| 2000-01-01 00:02:00 2.0
| 2000-01-01 00:02:30 NaN
| 2000-01-01 00:03:00 3.0
|
| Upsample again, providing a ``fill value``.
|
| >>> df.asfreq(freq='30S', fill_value=9.0)
| s
| 2000-01-01 00:00:00 0.0
| 2000-01-01 00:00:30 9.0
| 2000-01-01 00:01:00 NaN
| 2000-01-01 00:01:30 9.0
| 2000-01-01 00:02:00 2.0
| 2000-01-01 00:02:30 9.0
| 2000-01-01 00:03:00 3.0
|
| Upsample again, providing a ``method``.
|
| >>> df.asfreq(freq='30S', method='bfill')
| s
| 2000-01-01 00:00:00 0.0
| 2000-01-01 00:00:30 NaN
| 2000-01-01 00:01:00 NaN
| 2000-01-01 00:01:30 2.0
| 2000-01-01 00:02:00 2.0
| 2000-01-01 00:02:30 3.0
| 2000-01-01 00:03:00 3.0
|
| assign(self, **kwargs) -> 'DataFrame'
| Assign new columns to a DataFrame.
|
| Returns a new object with all original columns in addition to new ones.
| Existing columns that are re-assigned will be overwritten.
|
| Parameters
| ----------
| **kwargs : dict of {str: callable or Series}
| The column names are keywords. If the values are
| callable, they are computed on the DataFrame and
| assigned to the new columns. The callable must not
| change input DataFrame (though pandas doesn't check it).
| If the values are not callable, (e.g. a Series, scalar, or array),
| they are simply assigned.
|
| Returns
| -------
| DataFrame
| A new DataFrame with the new columns in addition to
| all the existing columns.
|
| Notes
| -----
| Assigning multiple columns within the same ``assign`` is possible.
| Later items in '\*\*kwargs' may refer to newly created or modified
| columns in 'df'; items are computed and assigned into 'df' in order.
|
| Examples
| --------
| >>> df = pd.DataFrame({'temp_c': [17.0, 25.0]},
| ... index=['Portland', 'Berkeley'])
| >>> df
| temp_c
| Portland 17.0
| Berkeley 25.0
|
| Where the value is a callable, evaluated on `df`:
|
| >>> df.assign(temp_f=lambda x: x.temp_c * 9 / 5 + 32)
| temp_c temp_f
| Portland 17.0 62.6
| Berkeley 25.0 77.0
|
| Alternatively, the same behavior can be achieved by directly
| referencing an existing Series or sequence:
|
| >>> df.assign(temp_f=df['temp_c'] * 9 / 5 + 32)
| temp_c temp_f
| Portland 17.0 62.6
| Berkeley 25.0 77.0
|
| You can create multiple columns within the same assign where one
| of the columns depends on another one defined within the same assign:
|
| >>> df.assign(temp_f=lambda x: x['temp_c'] * 9 / 5 + 32,
| ... temp_k=lambda x: (x['temp_f'] + 459.67) * 5 / 9)
| temp_c temp_f temp_k
| Portland 17.0 62.6 290.15
| Berkeley 25.0 77.0 298.15
|
| bfill(self: 'DataFrame', axis: 'None | Axis' = None, inplace: 'bool' = False, limit: 'None | int' = None, downcast=None) -> 'DataFrame | None'
| Synonym for :meth:`DataFrame.fillna` with ``method='bfill'``.
|
| Returns
| -------
| Series/DataFrame or None
| Object with missing values filled or None if ``inplace=True``.
|
| boxplot = boxplot_frame(self, column=None, by=None, ax=None, fontsize=None, rot=0, grid=True, figsize=None, layout=None, return_type=None, backend=None, **kwargs)
| Make a box plot from DataFrame columns.
|
| Make a box-and-whisker plot from DataFrame columns, optionally grouped
| by some other columns. A box plot is a method for graphically depicting
| groups of numerical data through their quartiles.
| The box extends from the Q1 to Q3 quartile values of the data,
| with a line at the median (Q2). The whiskers extend from the edges
| of box to show the range of the data. By default, they extend no more than
| `1.5 * IQR (IQR = Q3 - Q1)` from the edges of the box, ending at the farthest
| data point within that interval. Outliers are plotted as separate dots.
|
| For further details see
| Wikipedia's entry for `boxplot <https://en.wikipedia.org/wiki/Box_plot>`_.
|
| Parameters
| ----------
| column : str or list of str, optional
| Column name or list of names, or vector.
| Can be any valid input to :meth:`pandas.DataFrame.groupby`.
| by : str or array-like, optional
| Column in the DataFrame to :meth:`pandas.DataFrame.groupby`.
| One box-plot will be done per value of columns in `by`.
| ax : object of class matplotlib.axes.Axes, optional
| The matplotlib axes to be used by boxplot.
| fontsize : float or str
| Tick label font size in points or as a string (e.g., `large`).
| rot : int or float, default 0
| The rotation angle of labels (in degrees)
| with respect to the screen coordinate system.
| grid : bool, default True
| Setting this to True will show the grid.
| figsize : A tuple (width, height) in inches
| The size of the figure to create in matplotlib.
| layout : tuple (rows, columns), optional
| For example, (3, 5) will display the subplots
| using 3 columns and 5 rows, starting from the top-left.
| return_type : {'axes', 'dict', 'both'} or None, default 'axes'
| The kind of object to return. The default is ``axes``.
|
| * 'axes' returns the matplotlib axes the boxplot is drawn on.
| * 'dict' returns a dictionary whose values are the matplotlib
| Lines of the boxplot.
| * 'both' returns a namedtuple with the axes and dict.
| * when grouping with ``by``, a Series mapping columns to
| ``return_type`` is returned.
|
| If ``return_type`` is `None`, a NumPy array
| of axes with the same shape as ``layout`` is returned.
| backend : str, default None
| Backend to use instead of the backend specified in the option
| ``plotting.backend``. For instance, 'matplotlib'. Alternatively, to
| specify the ``plotting.backend`` for the whole session, set
| ``pd.options.plotting.backend``.
|
| .. versionadded:: 1.0.0
|
| **kwargs
| All other plotting keyword arguments to be passed to
| :func:`matplotlib.pyplot.boxplot`.
|
| Returns
| -------
| result
| See Notes.
|
| See Also
| --------
| Series.plot.hist: Make a histogram.
| matplotlib.pyplot.boxplot : Matplotlib equivalent plot.
|
| Notes
| -----
| The return type depends on the `return_type` parameter:
|
| * 'axes' : object of class matplotlib.axes.Axes
| * 'dict' : dict of matplotlib.lines.Line2D objects
| * 'both' : a namedtuple with structure (ax, lines)
|
| For data grouped with ``by``, return a Series of the above or a numpy
| array:
|
| * :class:`~pandas.Series`
| * :class:`~numpy.array` (for ``return_type = None``)
|
| Use ``return_type='dict'`` when you want to tweak the appearance
| of the lines after plotting. In this case a dict containing the Lines
| making up the boxes, caps, fliers, medians, and whiskers is returned.
|
| Examples
| --------
|
| Boxplots can be created for every column in the dataframe
| by ``df.boxplot()`` or indicating the columns to be used:
|
| .. plot::
| :context: close-figs
|
| >>> np.random.seed(1234)
| >>> df = pd.DataFrame(np.random.randn(10, 4),
| ... columns=['Col1', 'Col2', 'Col3', 'Col4'])
| >>> boxplot = df.boxplot(column=['Col1', 'Col2', 'Col3'])
|
| Boxplots of variables distributions grouped by the values of a third
| variable can be created using the option ``by``. For instance:
|
| .. plot::
| :context: close-figs
|
| >>> df = pd.DataFrame(np.random.randn(10, 2),
| ... columns=['Col1', 'Col2'])
| >>> df['X'] = pd.Series(['A', 'A', 'A', 'A', 'A',
| ... 'B', 'B', 'B', 'B', 'B'])
| >>> boxplot = df.boxplot(by='X')
|
| A list of strings (i.e. ``['X', 'Y']``) can be passed to boxplot
| in order to group the data by combination of the variables in the x-axis:
|
| .. plot::
| :context: close-figs
|
| >>> df = pd.DataFrame(np.random.randn(10, 3),
| ... columns=['Col1', 'Col2', 'Col3'])
| >>> df['X'] = pd.Series(['A', 'A', 'A', 'A', 'A',
| ... 'B', 'B', 'B', 'B', 'B'])
| >>> df['Y'] = pd.Series(['A', 'B', 'A', 'B', 'A',
| ... 'B', 'A', 'B', 'A', 'B'])
| >>> boxplot = df.boxplot(column=['Col1', 'Col2'], by=['X', 'Y'])
|
| The layout of boxplot can be adjusted giving a tuple to ``layout``:
|
| .. plot::
| :context: close-figs
|
| >>> boxplot = df.boxplot(column=['Col1', 'Col2'], by='X',
| ... layout=(2, 1))
|
| Additional formatting can be done to the boxplot, like suppressing the grid
| (``grid=False``), rotating the labels in the x-axis (i.e. ``rot=45``)
| or changing the fontsize (i.e. ``fontsize=15``):
|
| .. plot::
| :context: close-figs
|
| >>> boxplot = df.boxplot(grid=False, rot=45, fontsize=15)
|
| The parameter ``return_type`` can be used to select the type of element
| returned by `boxplot`. When ``return_type='axes'`` is selected,
| the matplotlib axes on which the boxplot is drawn are returned:
|
| >>> boxplot = df.boxplot(column=['Col1', 'Col2'], return_type='axes')
| >>> type(boxplot)
| <class 'matplotlib.axes._subplots.AxesSubplot'>
|
| When grouping with ``by``, a Series mapping columns to ``return_type``
| is returned:
|
| >>> boxplot = df.boxplot(column=['Col1', 'Col2'], by='X',
| ... return_type='axes')
| >>> type(boxplot)
| <class 'pandas.core.series.Series'>
|
| If ``return_type`` is `None`, a NumPy array of axes with the same shape
| as ``layout`` is returned:
|
| >>> boxplot = df.boxplot(column=['Col1', 'Col2'], by='X',
| ... return_type=None)
| >>> type(boxplot)
| <class 'numpy.ndarray'>
|
| clip(self: 'DataFrame', lower=None, upper=None, axis: 'Axis | None' = None, inplace: 'bool' = False, *args, **kwargs) -> 'DataFrame | None'
| Trim values at input threshold(s).
|
| Assigns values outside boundary to boundary values. Thresholds
| can be singular values or array like, and in the latter case
| the clipping is performed element-wise in the specified axis.
|
| Parameters
| ----------
| lower : float or array-like, default None
| Minimum threshold value. All values below this
| threshold will be set to it. A missing
| threshold (e.g `NA`) will not clip the value.
| upper : float or array-like, default None
| Maximum threshold value. All values above this
| threshold will be set to it. A missing
| threshold (e.g `NA`) will not clip the value.
| axis : int or str axis name, optional
| Align object with lower and upper along the given axis.
| inplace : bool, default False
| Whether to perform the operation in place on the data.
| *args, **kwargs
| Additional keywords have no effect but might be accepted
| for compatibility with numpy.
|
| Returns
| -------
| Series or DataFrame or None
| Same type as calling object with the values outside the
| clip boundaries replaced or None if ``inplace=True``.
|
| See Also
| --------
| Series.clip : Trim values at input threshold in series.
| DataFrame.clip : Trim values at input threshold in dataframe.
| numpy.clip : Clip (limit) the values in an array.
|
| Examples
| --------
| >>> data = {'col_0': [9, -3, 0, -1, 5], 'col_1': [-2, -7, 6, 8, -5]}
| >>> df = pd.DataFrame(data)
| >>> df
| col_0 col_1
| 0 9 -2
| 1 -3 -7
| 2 0 6
| 3 -1 8
| 4 5 -5
|
| Clips per column using lower and upper thresholds:
|
| >>> df.clip(-4, 6)
| col_0 col_1
| 0 6 -2
| 1 -3 -4
| 2 0 6
| 3 -1 6
| 4 5 -4
|
| Clips using specific lower and upper thresholds per column element:
|
| >>> t = pd.Series([2, -4, -1, 6, 3])
| >>> t
| 0 2
| 1 -4
| 2 -1
| 3 6
| 4 3
| dtype: int64
|
| >>> df.clip(t, t + 4, axis=0)
| col_0 col_1
| 0 6 2
| 1 -3 -4
| 2 0 3
| 3 6 8
| 4 5 3
|
| Clips using specific lower threshold per column element, with missing values:
|
| >>> t = pd.Series([2, -4, np.NaN, 6, 3])
| >>> t
| 0 2.0
| 1 -4.0
| 2 NaN
| 3 6.0
| 4 3.0
| dtype: float64
|
| >>> df.clip(t, axis=0)
| col_0 col_1
| 0 9 2
| 1 -3 -4
| 2 0 6
| 3 6 8
| 4 5 3
|
| combine(self, other: 'DataFrame', func, fill_value=None, overwrite: 'bool' = True) -> 'DataFrame'
| Perform column-wise combine with another DataFrame.
|
| Combines a DataFrame with `other` DataFrame using `func`
| to element-wise combine columns. The row and column indexes of the
| resulting DataFrame will be the union of the two.
|
| Parameters
| ----------
| other : DataFrame
| The DataFrame to merge column-wise.
| func : function
| Function that takes two series as inputs and return a Series or a
| scalar. Used to merge the two dataframes column by columns.
| fill_value : scalar value, default None
| The value to fill NaNs with prior to passing any column to the
| merge func.
| overwrite : bool, default True
| If True, columns in `self` that do not exist in `other` will be
| overwritten with NaNs.
|
| Returns
| -------
| DataFrame
| Combination of the provided DataFrames.
|
| See Also
| --------
| DataFrame.combine_first : Combine two DataFrame objects and default to
| non-null values in frame calling the method.
|
| Examples
| --------
| Combine using a simple function that chooses the smaller column.
|
| >>> df1 = pd.DataFrame({'A': [0, 0], 'B': [4, 4]})
| >>> df2 = pd.DataFrame({'A': [1, 1], 'B': [3, 3]})
| >>> take_smaller = lambda s1, s2: s1 if s1.sum() < s2.sum() else s2
| >>> df1.combine(df2, take_smaller)
| A B
| 0 0 3
| 1 0 3
|
| Example using a true element-wise combine function.
|
| >>> df1 = pd.DataFrame({'A': [5, 0], 'B': [2, 4]})
| >>> df2 = pd.DataFrame({'A': [1, 1], 'B': [3, 3]})
| >>> df1.combine(df2, np.minimum)
| A B
| 0 1 2
| 1 0 3
|
| Using `fill_value` fills Nones prior to passing the column to the
| merge function.
|
| >>> df1 = pd.DataFrame({'A': [0, 0], 'B': [None, 4]})
| >>> df2 = pd.DataFrame({'A': [1, 1], 'B': [3, 3]})
| >>> df1.combine(df2, take_smaller, fill_value=-5)
| A B
| 0 0 -5.0
| 1 0 4.0
|
| However, if the same element in both dataframes is None, that None
| is preserved
|
| >>> df1 = pd.DataFrame({'A': [0, 0], 'B': [None, 4]})
| >>> df2 = pd.DataFrame({'A': [1, 1], 'B': [None, 3]})
| >>> df1.combine(df2, take_smaller, fill_value=-5)
| A B
| 0 0 -5.0
| 1 0 3.0
|
| Example that demonstrates the use of `overwrite` and behavior when
| the axis differ between the dataframes.
|
| >>> df1 = pd.DataFrame({'A': [0, 0], 'B': [4, 4]})
| >>> df2 = pd.DataFrame({'B': [3, 3], 'C': [-10, 1], }, index=[1, 2])
| >>> df1.combine(df2, take_smaller)
| A B C
| 0 NaN NaN NaN
| 1 NaN 3.0 -10.0
| 2 NaN 3.0 1.0
|
| >>> df1.combine(df2, take_smaller, overwrite=False)
| A B C
| 0 0.0 NaN NaN
| 1 0.0 3.0 -10.0
| 2 NaN 3.0 1.0
|
| Demonstrating the preference of the passed in dataframe.
|
| >>> df2 = pd.DataFrame({'B': [3, 3], 'C': [1, 1], }, index=[1, 2])
| >>> df2.combine(df1, take_smaller)
| A B C
| 0 0.0 NaN NaN
| 1 0.0 3.0 NaN
| 2 NaN 3.0 NaN
|
| >>> df2.combine(df1, take_smaller, overwrite=False)
| A B C
| 0 0.0 NaN NaN
| 1 0.0 3.0 1.0
| 2 NaN 3.0 1.0
|
| combine_first(self, other: 'DataFrame') -> 'DataFrame'
| Update null elements with value in the same location in `other`.
|
| Combine two DataFrame objects by filling null values in one DataFrame
| with non-null values from other DataFrame. The row and column indexes
| of the resulting DataFrame will be the union of the two.
|
| Parameters
| ----------
| other : DataFrame
| Provided DataFrame to use to fill null values.
|
| Returns
| -------
| DataFrame
| The result of combining the provided DataFrame with the other object.
|
| See Also
| --------
| DataFrame.combine : Perform series-wise operation on two DataFrames
| using a given function.
|
| Examples
| --------
| >>> df1 = pd.DataFrame({'A': [None, 0], 'B': [None, 4]})
| >>> df2 = pd.DataFrame({'A': [1, 1], 'B': [3, 3]})
| >>> df1.combine_first(df2)
| A B
| 0 1.0 3.0
| 1 0.0 4.0
|
| Null values still persist if the location of that null value
| does not exist in `other`
|
| >>> df1 = pd.DataFrame({'A': [None, 0], 'B': [4, None]})
| >>> df2 = pd.DataFrame({'B': [3, 3], 'C': [1, 1]}, index=[1, 2])
| >>> df1.combine_first(df2)
| A B C
| 0 NaN 4.0 NaN
| 1 0.0 3.0 1.0
| 2 NaN 3.0 1.0
|
| compare(self, other: 'DataFrame', align_axis: 'Axis' = 1, keep_shape: 'bool' = False, keep_equal: 'bool' = False) -> 'DataFrame'
| Compare to another DataFrame and show the differences.
|
| .. versionadded:: 1.1.0
|
| Parameters
| ----------
| other : DataFrame
| Object to compare with.
|
| align_axis : {0 or 'index', 1 or 'columns'}, default 1
| Determine which axis to align the comparison on.
|
| * 0, or 'index' : Resulting differences are stacked vertically
| with rows drawn alternately from self and other.
| * 1, or 'columns' : Resulting differences are aligned horizontally
| with columns drawn alternately from self and other.
|
| keep_shape : bool, default False
| If true, all rows and columns are kept.
| Otherwise, only the ones with different values are kept.
|
| keep_equal : bool, default False
| If true, the result keeps values that are equal.
| Otherwise, equal values are shown as NaNs.
|
| Returns
| -------
| DataFrame
| DataFrame that shows the differences stacked side by side.
|
| The resulting index will be a MultiIndex with 'self' and 'other'
| stacked alternately at the inner level.
|
| Raises
| ------
| ValueError
| When the two DataFrames don't have identical labels or shape.
|
| See Also
| --------
| Series.compare : Compare with another Series and show differences.
| DataFrame.equals : Test whether two objects contain the same elements.
|
| Notes
| -----
| Matching NaNs will not appear as a difference.
|
| Can only compare identically-labeled
| (i.e. same shape, identical row and column labels) DataFrames
|
| Examples
| --------
| >>> df = pd.DataFrame(
| ... {
| ... "col1": ["a", "a", "b", "b", "a"],
| ... "col2": [1.0, 2.0, 3.0, np.nan, 5.0],
| ... "col3": [1.0, 2.0, 3.0, 4.0, 5.0]
| ... },
| ... columns=["col1", "col2", "col3"],
| ... )
| >>> df
| col1 col2 col3
| 0 a 1.0 1.0
| 1 a 2.0 2.0
| 2 b 3.0 3.0
| 3 b NaN 4.0
| 4 a 5.0 5.0
|
| >>> df2 = df.copy()
| >>> df2.loc[0, 'col1'] = 'c'
| >>> df2.loc[2, 'col3'] = 4.0
| >>> df2
| col1 col2 col3
| 0 c 1.0 1.0
| 1 a 2.0 2.0
| 2 b 3.0 4.0
| 3 b NaN 4.0
| 4 a 5.0 5.0
|
| Align the differences on columns
|
| >>> df.compare(df2)
| col1 col3
| self other self other
| 0 a c NaN NaN
| 2 NaN NaN 3.0 4.0
|
| Stack the differences on rows
|
| >>> df.compare(df2, align_axis=0)
| col1 col3
| 0 self a NaN
| other c NaN
| 2 self NaN 3.0
| other NaN 4.0
|
| Keep the equal values
|
| >>> df.compare(df2, keep_equal=True)
| col1 col3
| self other self other
| 0 a c 1.0 1.0
| 2 b b 3.0 4.0
|
| Keep all original rows and columns
|
| >>> df.compare(df2, keep_shape=True)
| col1 col2 col3
| self other self other self other
| 0 a c NaN NaN NaN NaN
| 1 NaN NaN NaN NaN NaN NaN
| 2 NaN NaN NaN NaN 3.0 4.0
| 3 NaN NaN NaN NaN NaN NaN
| 4 NaN NaN NaN NaN NaN NaN
|
| Keep all original rows and columns and also all original values
|
| >>> df.compare(df2, keep_shape=True, keep_equal=True)
| col1 col2 col3
| self other self other self other
| 0 a c 1.0 1.0 1.0 1.0
| 1 a a 2.0 2.0 2.0 2.0
| 2 b b 3.0 3.0 3.0 4.0
| 3 b b NaN NaN 4.0 4.0
| 4 a a 5.0 5.0 5.0 5.0
|
| corr(self, method: 'str | Callable[[np.ndarray, np.ndarray], float]' = 'pearson', min_periods: 'int' = 1) -> 'DataFrame'
| Compute pairwise correlation of columns, excluding NA/null values.
|
| Parameters
| ----------
| method : {'pearson', 'kendall', 'spearman'} or callable
| Method of correlation:
|
| * pearson : standard correlation coefficient
| * kendall : Kendall Tau correlation coefficient
| * spearman : Spearman rank correlation
| * callable: callable with input two 1d ndarrays
| and returning a float. Note that the returned matrix from corr
| will have 1 along the diagonals and will be symmetric
| regardless of the callable's behavior.
| min_periods : int, optional
| Minimum number of observations required per pair of columns
| to have a valid result.
|
| Returns
| -------
| DataFrame
| Correlation matrix.
|
| See Also
| --------
| DataFrame.corrwith : Compute pairwise correlation with another
| DataFrame or Series.
| Series.corr : Compute the correlation between two Series.
|
| Examples
| --------
| >>> def histogram_intersection(a, b):
| ... v = np.minimum(a, b).sum().round(decimals=1)
| ... return v
| >>> df = pd.DataFrame([(.2, .3), (.0, .6), (.6, .0), (.2, .1)],
| ... columns=['dogs', 'cats'])
| >>> df.corr(method=histogram_intersection)
| dogs cats
| dogs 1.0 0.3
| cats 0.3 1.0
|
| corrwith(self, other, axis: 'Axis' = 0, drop=False, method='pearson') -> 'Series'
| Compute pairwise correlation.
|
| Pairwise correlation is computed between rows or columns of
| DataFrame with rows or columns of Series or DataFrame. DataFrames
| are first aligned along both axes before computing the
| correlations.
|
| Parameters
| ----------
| other : DataFrame, Series
| Object with which to compute correlations.
| axis : {0 or 'index', 1 or 'columns'}, default 0
| The axis to use. 0 or 'index' to compute column-wise, 1 or 'columns' for
| row-wise.
| drop : bool, default False
| Drop missing indices from result.
| method : {'pearson', 'kendall', 'spearman'} or callable
| Method of correlation:
|
| * pearson : standard correlation coefficient
| * kendall : Kendall Tau correlation coefficient
| * spearman : Spearman rank correlation
| * callable: callable with input two 1d ndarrays
| and returning a float.
|
| Returns
| -------
| Series
| Pairwise correlations.
|
| See Also
| --------
| DataFrame.corr : Compute pairwise correlation of columns.
|
| count(self, axis: 'Axis' = 0, level: 'Level | None' = None, numeric_only: 'bool' = False)
| Count non-NA cells for each column or row.
|
| The values `None`, `NaN`, `NaT`, and optionally `numpy.inf` (depending
| on `pandas.options.mode.use_inf_as_na`) are considered NA.
|
| Parameters
| ----------
| axis : {0 or 'index', 1 or 'columns'}, default 0
| If 0 or 'index' counts are generated for each column.
| If 1 or 'columns' counts are generated for each row.
| level : int or str, optional
| If the axis is a `MultiIndex` (hierarchical), count along a
| particular `level`, collapsing into a `DataFrame`.
| A `str` specifies the level name.
| numeric_only : bool, default False
| Include only `float`, `int` or `boolean` data.
|
| Returns
| -------
| Series or DataFrame
| For each column/row the number of non-NA/null entries.
| If `level` is specified returns a `DataFrame`.
|
| See Also
| --------
| Series.count: Number of non-NA elements in a Series.
| DataFrame.value_counts: Count unique combinations of columns.
| DataFrame.shape: Number of DataFrame rows and columns (including NA
| elements).
| DataFrame.isna: Boolean same-sized DataFrame showing places of NA
| elements.
|
| Examples
| --------
| Constructing DataFrame from a dictionary:
|
| >>> df = pd.DataFrame({"Person":
| ... ["John", "Myla", "Lewis", "John", "Myla"],
| ... "Age": [24., np.nan, 21., 33, 26],
| ... "Single": [False, True, True, True, False]})
| >>> df
| Person Age Single
| 0 John 24.0 False
| 1 Myla NaN True
| 2 Lewis 21.0 True
| 3 John 33.0 True
| 4 Myla 26.0 False
|
| Notice the uncounted NA values:
|
| >>> df.count()
| Person 5
| Age 4
| Single 5
| dtype: int64
|
| Counts for each **row**:
|
| >>> df.count(axis='columns')
| 0 3
| 1 2
| 2 3
| 3 3
| 4 3
| dtype: int64
|
| cov(self, min_periods: 'int | None' = None, ddof: 'int | None' = 1) -> 'DataFrame'
| Compute pairwise covariance of columns, excluding NA/null values.
|
| Compute the pairwise covariance among the series of a DataFrame.
| The returned data frame is the `covariance matrix
| <https://en.wikipedia.org/wiki/Covariance_matrix>`__ of the columns
| of the DataFrame.
|
| Both NA and null values are automatically excluded from the
| calculation. (See the note below about bias from missing values.)
| A threshold can be set for the minimum number of
| observations for each value created. Comparisons with observations
| below this threshold will be returned as ``NaN``.
|
| This method is generally used for the analysis of time series data to
| understand the relationship between different measures
| across time.
|
| Parameters
| ----------
| min_periods : int, optional
| Minimum number of observations required per pair of columns
| to have a valid result.
|
| ddof : int, default 1
| Delta degrees of freedom. The divisor used in calculations
| is ``N - ddof``, where ``N`` represents the number of elements.
|
| .. versionadded:: 1.1.0
|
| Returns
| -------
| DataFrame
| The covariance matrix of the series of the DataFrame.
|
| See Also
| --------
| Series.cov : Compute covariance with another Series.
| core.window.ExponentialMovingWindow.cov: Exponential weighted sample covariance.
| core.window.Expanding.cov : Expanding sample covariance.
| core.window.Rolling.cov : Rolling sample covariance.
|
| Notes
| -----
| Returns the covariance matrix of the DataFrame's time series.
| The covariance is normalized by N-ddof.
|
| For DataFrames that have Series that are missing data (assuming that
| data is `missing at random
| <https://en.wikipedia.org/wiki/Missing_data#Missing_at_random>`__)
| the returned covariance matrix will be an unbiased estimate
| of the variance and covariance between the member Series.
|
| However, for many applications this estimate may not be acceptable
| because the estimate covariance matrix is not guaranteed to be positive
| semi-definite. This could lead to estimate correlations having
| absolute values which are greater than one, and/or a non-invertible
| covariance matrix. See `Estimation of covariance matrices
| <https://en.wikipedia.org/w/index.php?title=Estimation_of_covariance_
| matrices>`__ for more details.
|
| Examples
| --------
| >>> df = pd.DataFrame([(1, 2), (0, 3), (2, 0), (1, 1)],
| ... columns=['dogs', 'cats'])
| >>> df.cov()
| dogs cats
| dogs 0.666667 -1.000000
| cats -1.000000 1.666667
|
| >>> np.random.seed(42)
| >>> df = pd.DataFrame(np.random.randn(1000, 5),
| ... columns=['a', 'b', 'c', 'd', 'e'])
| >>> df.cov()
| a b c d e
| a 0.998438 -0.020161 0.059277 -0.008943 0.014144
| b -0.020161 1.059352 -0.008543 -0.024738 0.009826
| c 0.059277 -0.008543 1.010670 -0.001486 -0.000271
| d -0.008943 -0.024738 -0.001486 0.921297 -0.013692
| e 0.014144 0.009826 -0.000271 -0.013692 0.977795
|
| **Minimum number of periods**
|
| This method also supports an optional ``min_periods`` keyword
| that specifies the required minimum number of non-NA observations for
| each column pair in order to have a valid result:
|
| >>> np.random.seed(42)
| >>> df = pd.DataFrame(np.random.randn(20, 3),
| ... columns=['a', 'b', 'c'])
| >>> df.loc[df.index[:5], 'a'] = np.nan
| >>> df.loc[df.index[5:10], 'b'] = np.nan
| >>> df.cov(min_periods=12)
| a b c
| a 0.316741 NaN -0.150812
| b NaN 1.248003 0.191417
| c -0.150812 0.191417 0.895202
|
| cummax(self, axis=None, skipna=True, *args, **kwargs)
| Return cumulative maximum over a DataFrame or Series axis.
|
| Returns a DataFrame or Series of the same size containing the cumulative
| maximum.
|
| Parameters
| ----------
| axis : {0 or 'index', 1 or 'columns'}, default 0
| The index or the name of the axis. 0 is equivalent to None or 'index'.
| skipna : bool, default True
| Exclude NA/null values. If an entire row/column is NA, the result
| will be NA.
| *args, **kwargs
| Additional keywords have no effect but might be accepted for
| compatibility with NumPy.
|
| Returns
| -------
| Series or DataFrame
| Return cumulative maximum of Series or DataFrame.
|
| See Also
| --------
| core.window.Expanding.max : Similar functionality
| but ignores ``NaN`` values.
| DataFrame.max : Return the maximum over
| DataFrame axis.
| DataFrame.cummax : Return cumulative maximum over DataFrame axis.
| DataFrame.cummin : Return cumulative minimum over DataFrame axis.
| DataFrame.cumsum : Return cumulative sum over DataFrame axis.
| DataFrame.cumprod : Return cumulative product over DataFrame axis.
|
| Examples
| --------
| **Series**
|
| >>> s = pd.Series([2, np.nan, 5, -1, 0])
| >>> s
| 0 2.0
| 1 NaN
| 2 5.0
| 3 -1.0
| 4 0.0
| dtype: float64
|
| By default, NA values are ignored.
|
| >>> s.cummax()
| 0 2.0
| 1 NaN
| 2 5.0
| 3 5.0
| 4 5.0
| dtype: float64
|
| To include NA values in the operation, use ``skipna=False``
|
| >>> s.cummax(skipna=False)
| 0 2.0
| 1 NaN
| 2 NaN
| 3 NaN
| 4 NaN
| dtype: float64
|
| **DataFrame**
|
| >>> df = pd.DataFrame([[2.0, 1.0],
| ... [3.0, np.nan],
| ... [1.0, 0.0]],
| ... columns=list('AB'))
| >>> df
| A B
| 0 2.0 1.0
| 1 3.0 NaN
| 2 1.0 0.0
|
| By default, iterates over rows and finds the maximum
| in each column. This is equivalent to ``axis=None`` or ``axis='index'``.
|
| >>> df.cummax()
| A B
| 0 2.0 1.0
| 1 3.0 NaN
| 2 3.0 1.0
|
| To iterate over columns and find the maximum in each row,
| use ``axis=1``
|
| >>> df.cummax(axis=1)
| A B
| 0 2.0 2.0
| 1 3.0 NaN
| 2 1.0 1.0
|
| cummin(self, axis=None, skipna=True, *args, **kwargs)
| Return cumulative minimum over a DataFrame or Series axis.
|
| Returns a DataFrame or Series of the same size containing the cumulative
| minimum.
|
| Parameters
| ----------
| axis : {0 or 'index', 1 or 'columns'}, default 0
| The index or the name of the axis. 0 is equivalent to None or 'index'.
| skipna : bool, default True
| Exclude NA/null values. If an entire row/column is NA, the result
| will be NA.
| *args, **kwargs
| Additional keywords have no effect but might be accepted for
| compatibility with NumPy.
|
| Returns
| -------
| Series or DataFrame
| Return cumulative minimum of Series or DataFrame.
|
| See Also
| --------
| core.window.Expanding.min : Similar functionality
| but ignores ``NaN`` values.
| DataFrame.min : Return the minimum over
| DataFrame axis.
| DataFrame.cummax : Return cumulative maximum over DataFrame axis.
| DataFrame.cummin : Return cumulative minimum over DataFrame axis.
| DataFrame.cumsum : Return cumulative sum over DataFrame axis.
| DataFrame.cumprod : Return cumulative product over DataFrame axis.
|
| Examples
| --------
| **Series**
|
| >>> s = pd.Series([2, np.nan, 5, -1, 0])
| >>> s
| 0 2.0
| 1 NaN
| 2 5.0
| 3 -1.0
| 4 0.0
| dtype: float64
|
| By default, NA values are ignored.
|
| >>> s.cummin()
| 0 2.0
| 1 NaN
| 2 2.0
| 3 -1.0
| 4 -1.0
| dtype: float64
|
| To include NA values in the operation, use ``skipna=False``
|
| >>> s.cummin(skipna=False)
| 0 2.0
| 1 NaN
| 2 NaN
| 3 NaN
| 4 NaN
| dtype: float64
|
| **DataFrame**
|
| >>> df = pd.DataFrame([[2.0, 1.0],
| ... [3.0, np.nan],
| ... [1.0, 0.0]],
| ... columns=list('AB'))
| >>> df
| A B
| 0 2.0 1.0
| 1 3.0 NaN
| 2 1.0 0.0
|
| By default, iterates over rows and finds the minimum
| in each column. This is equivalent to ``axis=None`` or ``axis='index'``.
|
| >>> df.cummin()
| A B
| 0 2.0 1.0
| 1 2.0 NaN
| 2 1.0 0.0
|
| To iterate over columns and find the minimum in each row,
| use ``axis=1``
|
| >>> df.cummin(axis=1)
| A B
| 0 2.0 1.0
| 1 3.0 NaN
| 2 1.0 0.0
|
| cumprod(self, axis=None, skipna=True, *args, **kwargs)
| Return cumulative product over a DataFrame or Series axis.
|
| Returns a DataFrame or Series of the same size containing the cumulative
| product.
|
| Parameters
| ----------
| axis : {0 or 'index', 1 or 'columns'}, default 0
| The index or the name of the axis. 0 is equivalent to None or 'index'.
| skipna : bool, default True
| Exclude NA/null values. If an entire row/column is NA, the result
| will be NA.
| *args, **kwargs
| Additional keywords have no effect but might be accepted for
| compatibility with NumPy.
|
| Returns
| -------
| Series or DataFrame
| Return cumulative product of Series or DataFrame.
|
| See Also
| --------
| core.window.Expanding.prod : Similar functionality
| but ignores ``NaN`` values.
| DataFrame.prod : Return the product over
| DataFrame axis.
| DataFrame.cummax : Return cumulative maximum over DataFrame axis.
| DataFrame.cummin : Return cumulative minimum over DataFrame axis.
| DataFrame.cumsum : Return cumulative sum over DataFrame axis.
| DataFrame.cumprod : Return cumulative product over DataFrame axis.
|
| Examples
| --------
| **Series**
|
| >>> s = pd.Series([2, np.nan, 5, -1, 0])
| >>> s
| 0 2.0
| 1 NaN
| 2 5.0
| 3 -1.0
| 4 0.0
| dtype: float64
|
| By default, NA values are ignored.
|
| >>> s.cumprod()
| 0 2.0
| 1 NaN
| 2 10.0
| 3 -10.0
| 4 -0.0
| dtype: float64
|
| To include NA values in the operation, use ``skipna=False``
|
| >>> s.cumprod(skipna=False)
| 0 2.0
| 1 NaN
| 2 NaN
| 3 NaN
| 4 NaN
| dtype: float64
|
| **DataFrame**
|
| >>> df = pd.DataFrame([[2.0, 1.0],
| ... [3.0, np.nan],
| ... [1.0, 0.0]],
| ... columns=list('AB'))
| >>> df
| A B
| 0 2.0 1.0
| 1 3.0 NaN
| 2 1.0 0.0
|
| By default, iterates over rows and finds the product
| in each column. This is equivalent to ``axis=None`` or ``axis='index'``.
|
| >>> df.cumprod()
| A B
| 0 2.0 1.0
| 1 6.0 NaN
| 2 6.0 0.0
|
| To iterate over columns and find the product in each row,
| use ``axis=1``
|
| >>> df.cumprod(axis=1)
| A B
| 0 2.0 2.0
| 1 3.0 NaN
| 2 1.0 0.0
|
| cumsum(self, axis=None, skipna=True, *args, **kwargs)
| Return cumulative sum over a DataFrame or Series axis.
|
| Returns a DataFrame or Series of the same size containing the cumulative
| sum.
|
| Parameters
| ----------
| axis : {0 or 'index', 1 or 'columns'}, default 0
| The index or the name of the axis. 0 is equivalent to None or 'index'.
| skipna : bool, default True
| Exclude NA/null values. If an entire row/column is NA, the result
| will be NA.
| *args, **kwargs
| Additional keywords have no effect but might be accepted for
| compatibility with NumPy.
|
| Returns
| -------
| Series or DataFrame
| Return cumulative sum of Series or DataFrame.
|
| See Also
| --------
| core.window.Expanding.sum : Similar functionality
| but ignores ``NaN`` values.
| DataFrame.sum : Return the sum over
| DataFrame axis.
| DataFrame.cummax : Return cumulative maximum over DataFrame axis.
| DataFrame.cummin : Return cumulative minimum over DataFrame axis.
| DataFrame.cumsum : Return cumulative sum over DataFrame axis.
| DataFrame.cumprod : Return cumulative product over DataFrame axis.
|
| Examples
| --------
| **Series**
|
| >>> s = pd.Series([2, np.nan, 5, -1, 0])
| >>> s
| 0 2.0
| 1 NaN
| 2 5.0
| 3 -1.0
| 4 0.0
| dtype: float64
|
| By default, NA values are ignored.
|
| >>> s.cumsum()
| 0 2.0
| 1 NaN
| 2 7.0
| 3 6.0
| 4 6.0
| dtype: float64
|
| To include NA values in the operation, use ``skipna=False``
|
| >>> s.cumsum(skipna=False)
| 0 2.0
| 1 NaN
| 2 NaN
| 3 NaN
| 4 NaN
| dtype: float64
|
| **DataFrame**
|
| >>> df = pd.DataFrame([[2.0, 1.0],
| ... [3.0, np.nan],
| ... [1.0, 0.0]],
| ... columns=list('AB'))
| >>> df
| A B
| 0 2.0 1.0
| 1 3.0 NaN
| 2 1.0 0.0
|
| By default, iterates over rows and finds the sum
| in each column. This is equivalent to ``axis=None`` or ``axis='index'``.
|
| >>> df.cumsum()
| A B
| 0 2.0 1.0
| 1 5.0 NaN
| 2 6.0 1.0
|
| To iterate over columns and find the sum in each row,
| use ``axis=1``
|
| >>> df.cumsum(axis=1)
| A B
| 0 2.0 3.0
| 1 3.0 NaN
| 2 1.0 1.0
|
| diff(self, periods: 'int' = 1, axis: 'Axis' = 0) -> 'DataFrame'
| First discrete difference of element.
|
| Calculates the difference of a Dataframe element compared with another
| element in the Dataframe (default is element in previous row).
|
| Parameters
| ----------
| periods : int, default 1
| Periods to shift for calculating difference, accepts negative
| values.
| axis : {0 or 'index', 1 or 'columns'}, default 0
| Take difference over rows (0) or columns (1).
|
| Returns
| -------
| Dataframe
| First differences of the Series.
|
| See Also
| --------
| Dataframe.pct_change: Percent change over given number of periods.
| Dataframe.shift: Shift index by desired number of periods with an
| optional time freq.
| Series.diff: First discrete difference of object.
|
| Notes
| -----
| For boolean dtypes, this uses :meth:`operator.xor` rather than
| :meth:`operator.sub`.
| The result is calculated according to current dtype in Dataframe,
| however dtype of the result is always float64.
|
| Examples
| --------
|
| Difference with previous row
|
| >>> df = pd.DataFrame({'a': [1, 2, 3, 4, 5, 6],
| ... 'b': [1, 1, 2, 3, 5, 8],
| ... 'c': [1, 4, 9, 16, 25, 36]})
| >>> df
| a b c
| 0 1 1 1
| 1 2 1 4
| 2 3 2 9
| 3 4 3 16
| 4 5 5 25
| 5 6 8 36
|
| >>> df.diff()
| a b c
| 0 NaN NaN NaN
| 1 1.0 0.0 3.0
| 2 1.0 1.0 5.0
| 3 1.0 1.0 7.0
| 4 1.0 2.0 9.0
| 5 1.0 3.0 11.0
|
| Difference with previous column
|
| >>> df.diff(axis=1)
| a b c
| 0 NaN 0 0
| 1 NaN -1 3
| 2 NaN -1 7
| 3 NaN -1 13
| 4 NaN 0 20
| 5 NaN 2 28
|
| Difference with 3rd previous row
|
| >>> df.diff(periods=3)
| a b c
| 0 NaN NaN NaN
| 1 NaN NaN NaN
| 2 NaN NaN NaN
| 3 3.0 2.0 15.0
| 4 3.0 4.0 21.0
| 5 3.0 6.0 27.0
|
| Difference with following row
|
| >>> df.diff(periods=-1)
| a b c
| 0 -1.0 0.0 -3.0
| 1 -1.0 -1.0 -5.0
| 2 -1.0 -1.0 -7.0
| 3 -1.0 -2.0 -9.0
| 4 -1.0 -3.0 -11.0
| 5 NaN NaN NaN
|
| Overflow in input dtype
|
| >>> df = pd.DataFrame({'a': [1, 0]}, dtype=np.uint8)
| >>> df.diff()
| a
| 0 NaN
| 1 255.0
|
| div = truediv(self, other, axis='columns', level=None, fill_value=None)
|
| divide = truediv(self, other, axis='columns', level=None, fill_value=None)
|
| dot(self, other: 'AnyArrayLike | FrameOrSeriesUnion') -> 'FrameOrSeriesUnion'
| Compute the matrix multiplication between the DataFrame and other.
|
| This method computes the matrix product between the DataFrame and the
| values of an other Series, DataFrame or a numpy array.
|
| It can also be called using ``self @ other`` in Python >= 3.5.
|
| Parameters
| ----------
| other : Series, DataFrame or array-like
| The other object to compute the matrix product with.
|
| Returns
| -------
| Series or DataFrame
| If other is a Series, return the matrix product between self and
| other as a Series. If other is a DataFrame or a numpy.array, return
| the matrix product of self and other in a DataFrame of a np.array.
|
| See Also
| --------
| Series.dot: Similar method for Series.
|
| Notes
| -----
| The dimensions of DataFrame and other must be compatible in order to
| compute the matrix multiplication. In addition, the column names of
| DataFrame and the index of other must contain the same values, as they
| will be aligned prior to the multiplication.
|
| The dot method for Series computes the inner product, instead of the
| matrix product here.
|
| Examples
| --------
| Here we multiply a DataFrame with a Series.
|
| >>> df = pd.DataFrame([[0, 1, -2, -1], [1, 1, 1, 1]])
| >>> s = pd.Series([1, 1, 2, 1])
| >>> df.dot(s)
| 0 -4
| 1 5
| dtype: int64
|
| Here we multiply a DataFrame with another DataFrame.
|
| >>> other = pd.DataFrame([[0, 1], [1, 2], [-1, -1], [2, 0]])
| >>> df.dot(other)
| 0 1
| 0 1 4
| 1 2 2
|
| Note that the dot method give the same result as @
|
| >>> df @ other
| 0 1
| 0 1 4
| 1 2 2
|
| The dot method works also if other is an np.array.
|
| >>> arr = np.array([[0, 1], [1, 2], [-1, -1], [2, 0]])
| >>> df.dot(arr)
| 0 1
| 0 1 4
| 1 2 2
|
| Note how shuffling of the objects does not change the result.
|
| >>> s2 = s.reindex([1, 0, 2, 3])
| >>> df.dot(s2)
| 0 -4
| 1 5
| dtype: int64
|
| drop(self, labels=None, axis: 'Axis' = 0, index=None, columns=None, level: 'Level | None' = None, inplace: 'bool' = False, errors: 'str' = 'raise')
| Drop specified labels from rows or columns.
|
| Remove rows or columns by specifying label names and corresponding
| axis, or by specifying directly index or column names. When using a
| multi-index, labels on different levels can be removed by specifying
| the level. See the `user guide <advanced.shown_levels>`
| for more information about the now unused levels.
|
| Parameters
| ----------
| labels : single label or list-like
| Index or column labels to drop.
| axis : {0 or 'index', 1 or 'columns'}, default 0
| Whether to drop labels from the index (0 or 'index') or
| columns (1 or 'columns').
| index : single label or list-like
| Alternative to specifying axis (``labels, axis=0``
| is equivalent to ``index=labels``).
| columns : single label or list-like
| Alternative to specifying axis (``labels, axis=1``
| is equivalent to ``columns=labels``).
| level : int or level name, optional
| For MultiIndex, level from which the labels will be removed.
| inplace : bool, default False
| If False, return a copy. Otherwise, do operation
| inplace and return None.
| errors : {'ignore', 'raise'}, default 'raise'
| If 'ignore', suppress error and only existing labels are
| dropped.
|
| Returns
| -------
| DataFrame or None
| DataFrame without the removed index or column labels or
| None if ``inplace=True``.
|
| Raises
| ------
| KeyError
| If any of the labels is not found in the selected axis.
|
| See Also
| --------
| DataFrame.loc : Label-location based indexer for selection by label.
| DataFrame.dropna : Return DataFrame with labels on given axis omitted
| where (all or any) data are missing.
| DataFrame.drop_duplicates : Return DataFrame with duplicate rows
| removed, optionally only considering certain columns.
| Series.drop : Return Series with specified index labels removed.
|
| Examples
| --------
| >>> df = pd.DataFrame(np.arange(12).reshape(3, 4),
| ... columns=['A', 'B', 'C', 'D'])
| >>> df
| A B C D
| 0 0 1 2 3
| 1 4 5 6 7
| 2 8 9 10 11
|
| Drop columns
|
| >>> df.drop(['B', 'C'], axis=1)
| A D
| 0 0 3
| 1 4 7
| 2 8 11
|
| >>> df.drop(columns=['B', 'C'])
| A D
| 0 0 3
| 1 4 7
| 2 8 11
|
| Drop a row by index
|
| >>> df.drop([0, 1])
| A B C D
| 2 8 9 10 11
|
| Drop columns and/or rows of MultiIndex DataFrame
|
| >>> midx = pd.MultiIndex(levels=[['lama', 'cow', 'falcon'],
| ... ['speed', 'weight', 'length']],
| ... codes=[[0, 0, 0, 1, 1, 1, 2, 2, 2],
| ... [0, 1, 2, 0, 1, 2, 0, 1, 2]])
| >>> df = pd.DataFrame(index=midx, columns=['big', 'small'],
| ... data=[[45, 30], [200, 100], [1.5, 1], [30, 20],
| ... [250, 150], [1.5, 0.8], [320, 250],
| ... [1, 0.8], [0.3, 0.2]])
| >>> df
| big small
| lama speed 45.0 30.0
| weight 200.0 100.0
| length 1.5 1.0
| cow speed 30.0 20.0
| weight 250.0 150.0
| length 1.5 0.8
| falcon speed 320.0 250.0
| weight 1.0 0.8
| length 0.3 0.2
|
| >>> df.drop(index='cow', columns='small')
| big
| lama speed 45.0
| weight 200.0
| length 1.5
| falcon speed 320.0
| weight 1.0
| length 0.3
|
| >>> df.drop(index='length', level=1)
| big small
| lama speed 45.0 30.0
| weight 200.0 100.0
| cow speed 30.0 20.0
| weight 250.0 150.0
| falcon speed 320.0 250.0
| weight 1.0 0.8
|
| drop_duplicates(self, subset: 'Hashable | Sequence[Hashable] | None' = None, keep: "Literal['first'] | Literal['last'] | Literal[False]" = 'first', inplace: 'bool' = False, ignore_index: 'bool' = False) -> 'DataFrame | None'
| Return DataFrame with duplicate rows removed.
|
| Considering certain columns is optional. Indexes, including time indexes
| are ignored.
|
| Parameters
| ----------
| subset : column label or sequence of labels, optional
| Only consider certain columns for identifying duplicates, by
| default use all of the columns.
| keep : {'first', 'last', False}, default 'first'
| Determines which duplicates (if any) to keep.
| - ``first`` : Drop duplicates except for the first occurrence.
| - ``last`` : Drop duplicates except for the last occurrence.
| - False : Drop all duplicates.
| inplace : bool, default False
| Whether to drop duplicates in place or to return a copy.
| ignore_index : bool, default False
| If True, the resulting axis will be labeled 0, 1, …, n - 1.
|
| .. versionadded:: 1.0.0
|
| Returns
| -------
| DataFrame or None
| DataFrame with duplicates removed or None if ``inplace=True``.
|
| See Also
| --------
| DataFrame.value_counts: Count unique combinations of columns.
|
| Examples
| --------
| Consider dataset containing ramen rating.
|
| >>> df = pd.DataFrame({
| ... 'brand': ['Yum Yum', 'Yum Yum', 'Indomie', 'Indomie', 'Indomie'],
| ... 'style': ['cup', 'cup', 'cup', 'pack', 'pack'],
| ... 'rating': [4, 4, 3.5, 15, 5]
| ... })
| >>> df
| brand style rating
| 0 Yum Yum cup 4.0
| 1 Yum Yum cup 4.0
| 2 Indomie cup 3.5
| 3 Indomie pack 15.0
| 4 Indomie pack 5.0
|
| By default, it removes duplicate rows based on all columns.
|
| >>> df.drop_duplicates()
| brand style rating
| 0 Yum Yum cup 4.0
| 2 Indomie cup 3.5
| 3 Indomie pack 15.0
| 4 Indomie pack 5.0
|
| To remove duplicates on specific column(s), use ``subset``.
|
| >>> df.drop_duplicates(subset=['brand'])
| brand style rating
| 0 Yum Yum cup 4.0
| 2 Indomie cup 3.5
|
| To remove duplicates and keep last occurrences, use ``keep``.
|
| >>> df.drop_duplicates(subset=['brand', 'style'], keep='last')
| brand style rating
| 1 Yum Yum cup 4.0
| 2 Indomie cup 3.5
| 4 Indomie pack 5.0
|
| dropna(self, axis: 'Axis' = 0, how: 'str' = 'any', thresh=None, subset=None, inplace: 'bool' = False)
| Remove missing values.
|
| See the :ref:`User Guide <missing_data>` for more on which values are
| considered missing, and how to work with missing data.
|
| Parameters
| ----------
| axis : {0 or 'index', 1 or 'columns'}, default 0
| Determine if rows or columns which contain missing values are
| removed.
|
| * 0, or 'index' : Drop rows which contain missing values.
| * 1, or 'columns' : Drop columns which contain missing value.
|
| .. versionchanged:: 1.0.0
|
| Pass tuple or list to drop on multiple axes.
| Only a single axis is allowed.
|
| how : {'any', 'all'}, default 'any'
| Determine if row or column is removed from DataFrame, when we have
| at least one NA or all NA.
|
| * 'any' : If any NA values are present, drop that row or column.
| * 'all' : If all values are NA, drop that row or column.
|
| thresh : int, optional
| Require that many non-NA values.
| subset : array-like, optional
| Labels along other axis to consider, e.g. if you are dropping rows
| these would be a list of columns to include.
| inplace : bool, default False
| If True, do operation inplace and return None.
|
| Returns
| -------
| DataFrame or None
| DataFrame with NA entries dropped from it or None if ``inplace=True``.
|
| See Also
| --------
| DataFrame.isna: Indicate missing values.
| DataFrame.notna : Indicate existing (non-missing) values.
| DataFrame.fillna : Replace missing values.
| Series.dropna : Drop missing values.
| Index.dropna : Drop missing indices.
|
| Examples
| --------
| >>> df = pd.DataFrame({"name": ['Alfred', 'Batman', 'Catwoman'],
| ... "toy": [np.nan, 'Batmobile', 'Bullwhip'],
| ... "born": [pd.NaT, pd.Timestamp("1940-04-25"),
| ... pd.NaT]})
| >>> df
| name toy born
| 0 Alfred NaN NaT
| 1 Batman Batmobile 1940-04-25
| 2 Catwoman Bullwhip NaT
|
| Drop the rows where at least one element is missing.
|
| >>> df.dropna()
| name toy born
| 1 Batman Batmobile 1940-04-25
|
| Drop the columns where at least one element is missing.
|
| >>> df.dropna(axis='columns')
| name
| 0 Alfred
| 1 Batman
| 2 Catwoman
|
| Drop the rows where all elements are missing.
|
| >>> df.dropna(how='all')
| name toy born
| 0 Alfred NaN NaT
| 1 Batman Batmobile 1940-04-25
| 2 Catwoman Bullwhip NaT
|
| Keep only the rows with at least 2 non-NA values.
|
| >>> df.dropna(thresh=2)
| name toy born
| 1 Batman Batmobile 1940-04-25
| 2 Catwoman Bullwhip NaT
|
| Define in which columns to look for missing values.
|
| >>> df.dropna(subset=['name', 'toy'])
| name toy born
| 1 Batman Batmobile 1940-04-25
| 2 Catwoman Bullwhip NaT
|
| Keep the DataFrame with valid entries in the same variable.
|
| >>> df.dropna(inplace=True)
| >>> df
| name toy born
| 1 Batman Batmobile 1940-04-25
|
| duplicated(self, subset: 'Hashable | Sequence[Hashable] | None' = None, keep: "Literal['first'] | Literal['last'] | Literal[False]" = 'first') -> 'Series'
| Return boolean Series denoting duplicate rows.
|
| Considering certain columns is optional.
|
| Parameters
| ----------
| subset : column label or sequence of labels, optional
| Only consider certain columns for identifying duplicates, by
| default use all of the columns.
| keep : {'first', 'last', False}, default 'first'
| Determines which duplicates (if any) to mark.
|
| - ``first`` : Mark duplicates as ``True`` except for the first occurrence.
| - ``last`` : Mark duplicates as ``True`` except for the last occurrence.
| - False : Mark all duplicates as ``True``.
|
| Returns
| -------
| Series
| Boolean series for each duplicated rows.
|
| See Also
| --------
| Index.duplicated : Equivalent method on index.
| Series.duplicated : Equivalent method on Series.
| Series.drop_duplicates : Remove duplicate values from Series.
| DataFrame.drop_duplicates : Remove duplicate values from DataFrame.
|
| Examples
| --------
| Consider dataset containing ramen rating.
|
| >>> df = pd.DataFrame({
| ... 'brand': ['Yum Yum', 'Yum Yum', 'Indomie', 'Indomie', 'Indomie'],
| ... 'style': ['cup', 'cup', 'cup', 'pack', 'pack'],
| ... 'rating': [4, 4, 3.5, 15, 5]
| ... })
| >>> df
| brand style rating
| 0 Yum Yum cup 4.0
| 1 Yum Yum cup 4.0
| 2 Indomie cup 3.5
| 3 Indomie pack 15.0
| 4 Indomie pack 5.0
|
| By default, for each set of duplicated values, the first occurrence
| is set on False and all others on True.
|
| >>> df.duplicated()
| 0 False
| 1 True
| 2 False
| 3 False
| 4 False
| dtype: bool
|
| By using 'last', the last occurrence of each set of duplicated values
| is set on False and all others on True.
|
| >>> df.duplicated(keep='last')
| 0 True
| 1 False
| 2 False
| 3 False
| 4 False
| dtype: bool
|
| By setting ``keep`` on False, all duplicates are True.
|
| >>> df.duplicated(keep=False)
| 0 True
| 1 True
| 2 False
| 3 False
| 4 False
| dtype: bool
|
| To find duplicates on specific column(s), use ``subset``.
|
| >>> df.duplicated(subset=['brand'])
| 0 False
| 1 True
| 2 False
| 3 True
| 4 True
| dtype: bool
|
| eq(self, other, axis='columns', level=None)
| Get Equal to of dataframe and other, element-wise (binary operator `eq`).
|
| Among flexible wrappers (`eq`, `ne`, `le`, `lt`, `ge`, `gt`) to comparison
| operators.
|
| Equivalent to `==`, `!=`, `<=`, `<`, `>=`, `>` with support to choose axis
| (rows or columns) and level for comparison.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}, default 'columns'
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns').
| level : int or label
| Broadcast across a level, matching Index values on the passed
| MultiIndex level.
|
| Returns
| -------
| DataFrame of bool
| Result of the comparison.
|
| See Also
| --------
| DataFrame.eq : Compare DataFrames for equality elementwise.
| DataFrame.ne : Compare DataFrames for inequality elementwise.
| DataFrame.le : Compare DataFrames for less than inequality
| or equality elementwise.
| DataFrame.lt : Compare DataFrames for strictly less than
| inequality elementwise.
| DataFrame.ge : Compare DataFrames for greater than inequality
| or equality elementwise.
| DataFrame.gt : Compare DataFrames for strictly greater than
| inequality elementwise.
|
| Notes
| -----
| Mismatched indices will be unioned together.
| `NaN` values are considered different (i.e. `NaN` != `NaN`).
|
| Examples
| --------
| >>> df = pd.DataFrame({'cost': [250, 150, 100],
| ... 'revenue': [100, 250, 300]},
| ... index=['A', 'B', 'C'])
| >>> df
| cost revenue
| A 250 100
| B 150 250
| C 100 300
|
| Comparison with a scalar, using either the operator or method:
|
| >>> df == 100
| cost revenue
| A False True
| B False False
| C True False
|
| >>> df.eq(100)
| cost revenue
| A False True
| B False False
| C True False
|
| When `other` is a :class:`Series`, the columns of a DataFrame are aligned
| with the index of `other` and broadcast:
|
| >>> df != pd.Series([100, 250], index=["cost", "revenue"])
| cost revenue
| A True True
| B True False
| C False True
|
| Use the method to control the broadcast axis:
|
| >>> df.ne(pd.Series([100, 300], index=["A", "D"]), axis='index')
| cost revenue
| A True False
| B True True
| C True True
| D True True
|
| When comparing to an arbitrary sequence, the number of columns must
| match the number elements in `other`:
|
| >>> df == [250, 100]
| cost revenue
| A True True
| B False False
| C False False
|
| Use the method to control the axis:
|
| >>> df.eq([250, 250, 100], axis='index')
| cost revenue
| A True False
| B False True
| C True False
|
| Compare to a DataFrame of different shape.
|
| >>> other = pd.DataFrame({'revenue': [300, 250, 100, 150]},
| ... index=['A', 'B', 'C', 'D'])
| >>> other
| revenue
| A 300
| B 250
| C 100
| D 150
|
| >>> df.gt(other)
| cost revenue
| A False False
| B False False
| C False True
| D False False
|
| Compare to a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'cost': [250, 150, 100, 150, 300, 220],
| ... 'revenue': [100, 250, 300, 200, 175, 225]},
| ... index=[['Q1', 'Q1', 'Q1', 'Q2', 'Q2', 'Q2'],
| ... ['A', 'B', 'C', 'A', 'B', 'C']])
| >>> df_multindex
| cost revenue
| Q1 A 250 100
| B 150 250
| C 100 300
| Q2 A 150 200
| B 300 175
| C 220 225
|
| >>> df.le(df_multindex, level=1)
| cost revenue
| Q1 A True True
| B True True
| C True True
| Q2 A False True
| B True False
| C True False
|
| eval(self, expr: 'str', inplace: 'bool' = False, **kwargs)
| Evaluate a string describing operations on DataFrame columns.
|
| Operates on columns only, not specific rows or elements. This allows
| `eval` to run arbitrary code, which can make you vulnerable to code
| injection if you pass user input to this function.
|
| Parameters
| ----------
| expr : str
| The expression string to evaluate.
| inplace : bool, default False
| If the expression contains an assignment, whether to perform the
| operation inplace and mutate the existing DataFrame. Otherwise,
| a new DataFrame is returned.
| **kwargs
| See the documentation for :func:`eval` for complete details
| on the keyword arguments accepted by
| :meth:`~pandas.DataFrame.query`.
|
| Returns
| -------
| ndarray, scalar, pandas object, or None
| The result of the evaluation or None if ``inplace=True``.
|
| See Also
| --------
| DataFrame.query : Evaluates a boolean expression to query the columns
| of a frame.
| DataFrame.assign : Can evaluate an expression or function to create new
| values for a column.
| eval : Evaluate a Python expression as a string using various
| backends.
|
| Notes
| -----
| For more details see the API documentation for :func:`~eval`.
| For detailed examples see :ref:`enhancing performance with eval
| <enhancingperf.eval>`.
|
| Examples
| --------
| >>> df = pd.DataFrame({'A': range(1, 6), 'B': range(10, 0, -2)})
| >>> df
| A B
| 0 1 10
| 1 2 8
| 2 3 6
| 3 4 4
| 4 5 2
| >>> df.eval('A + B')
| 0 11
| 1 10
| 2 9
| 3 8
| 4 7
| dtype: int64
|
| Assignment is allowed though by default the original DataFrame is not
| modified.
|
| >>> df.eval('C = A + B')
| A B C
| 0 1 10 11
| 1 2 8 10
| 2 3 6 9
| 3 4 4 8
| 4 5 2 7
| >>> df
| A B
| 0 1 10
| 1 2 8
| 2 3 6
| 3 4 4
| 4 5 2
|
| Use ``inplace=True`` to modify the original DataFrame.
|
| >>> df.eval('C = A + B', inplace=True)
| >>> df
| A B C
| 0 1 10 11
| 1 2 8 10
| 2 3 6 9
| 3 4 4 8
| 4 5 2 7
|
| Multiple columns can be assigned to using multi-line expressions:
|
| >>> df.eval(
| ... '''
| ... C = A + B
| ... D = A - B
| ... '''
| ... )
| A B C D
| 0 1 10 11 -9
| 1 2 8 10 -6
| 2 3 6 9 -3
| 3 4 4 8 0
| 4 5 2 7 3
|
| explode(self, column: 'str | tuple | list[str | tuple]', ignore_index: 'bool' = False) -> 'DataFrame'
| Transform each element of a list-like to a row, replicating index values.
|
| .. versionadded:: 0.25.0
|
| Parameters
| ----------
| column : str or tuple or list thereof
| Column(s) to explode.
| For multiple columns, specify a non-empty list with each element
| be str or tuple, and all specified columns their list-like data
| on same row of the frame must have matching length.
|
| .. versionadded:: 1.3.0
| Multi-column explode
|
| ignore_index : bool, default False
| If True, the resulting index will be labeled 0, 1, …, n - 1.
|
| .. versionadded:: 1.1.0
|
| Returns
| -------
| DataFrame
| Exploded lists to rows of the subset columns;
| index will be duplicated for these rows.
|
| Raises
| ------
| ValueError :
| * If columns of the frame are not unique.
| * If specified columns to explode is empty list.
| * If specified columns to explode have not matching count of
| elements rowwise in the frame.
|
| See Also
| --------
| DataFrame.unstack : Pivot a level of the (necessarily hierarchical)
| index labels.
| DataFrame.melt : Unpivot a DataFrame from wide format to long format.
| Series.explode : Explode a DataFrame from list-like columns to long format.
|
| Notes
| -----
| This routine will explode list-likes including lists, tuples, sets,
| Series, and np.ndarray. The result dtype of the subset rows will
| be object. Scalars will be returned unchanged, and empty list-likes will
| result in a np.nan for that row. In addition, the ordering of rows in the
| output will be non-deterministic when exploding sets.
|
| Examples
| --------
| >>> df = pd.DataFrame({'A': [[0, 1, 2], 'foo', [], [3, 4]],
| ... 'B': 1,
| ... 'C': [['a', 'b', 'c'], np.nan, [], ['d', 'e']]})
| >>> df
| A B C
| 0 [0, 1, 2] 1 [a, b, c]
| 1 foo 1 NaN
| 2 [] 1 []
| 3 [3, 4] 1 [d, e]
|
| Single-column explode.
|
| >>> df.explode('A')
| A B C
| 0 0 1 [a, b, c]
| 0 1 1 [a, b, c]
| 0 2 1 [a, b, c]
| 1 foo 1 NaN
| 2 NaN 1 []
| 3 3 1 [d, e]
| 3 4 1 [d, e]
|
| Multi-column explode.
|
| >>> df.explode(list('AC'))
| A B C
| 0 0 1 a
| 0 1 1 b
| 0 2 1 c
| 1 foo 1 NaN
| 2 NaN 1 NaN
| 3 3 1 d
| 3 4 1 e
|
| ffill(self: 'DataFrame', axis: 'None | Axis' = None, inplace: 'bool' = False, limit: 'None | int' = None, downcast=None) -> 'DataFrame | None'
| Synonym for :meth:`DataFrame.fillna` with ``method='ffill'``.
|
| Returns
| -------
| Series/DataFrame or None
| Object with missing values filled or None if ``inplace=True``.
|
| fillna(self, value: 'object | ArrayLike | None' = None, method: 'FillnaOptions | None' = None, axis: 'Axis | None' = None, inplace: 'bool' = False, limit=None, downcast=None) -> 'DataFrame | None'
| Fill NA/NaN values using the specified method.
|
| Parameters
| ----------
| value : scalar, dict, Series, or DataFrame
| Value to use to fill holes (e.g. 0), alternately a
| dict/Series/DataFrame of values specifying which value to use for
| each index (for a Series) or column (for a DataFrame). Values not
| in the dict/Series/DataFrame will not be filled. This value cannot
| be a list.
| method : {'backfill', 'bfill', 'pad', 'ffill', None}, default None
| Method to use for filling holes in reindexed Series
| pad / ffill: propagate last valid observation forward to next valid
| backfill / bfill: use next valid observation to fill gap.
| axis : {0 or 'index', 1 or 'columns'}
| Axis along which to fill missing values.
| inplace : bool, default False
| If True, fill in-place. Note: this will modify any
| other views on this object (e.g., a no-copy slice for a column in a
| DataFrame).
| limit : int, default None
| If method is specified, this is the maximum number of consecutive
| NaN values to forward/backward fill. In other words, if there is
| a gap with more than this number of consecutive NaNs, it will only
| be partially filled. If method is not specified, this is the
| maximum number of entries along the entire axis where NaNs will be
| filled. Must be greater than 0 if not None.
| downcast : dict, default is None
| A dict of item->dtype of what to downcast if possible,
| or the string 'infer' which will try to downcast to an appropriate
| equal type (e.g. float64 to int64 if possible).
|
| Returns
| -------
| DataFrame or None
| Object with missing values filled or None if ``inplace=True``.
|
| See Also
| --------
| interpolate : Fill NaN values using interpolation.
| reindex : Conform object to new index.
| asfreq : Convert TimeSeries to specified frequency.
|
| Examples
| --------
| >>> df = pd.DataFrame([[np.nan, 2, np.nan, 0],
| ... [3, 4, np.nan, 1],
| ... [np.nan, np.nan, np.nan, 5],
| ... [np.nan, 3, np.nan, 4]],
| ... columns=list("ABCD"))
| >>> df
| A B C D
| 0 NaN 2.0 NaN 0
| 1 3.0 4.0 NaN 1
| 2 NaN NaN NaN 5
| 3 NaN 3.0 NaN 4
|
| Replace all NaN elements with 0s.
|
| >>> df.fillna(0)
| A B C D
| 0 0.0 2.0 0.0 0
| 1 3.0 4.0 0.0 1
| 2 0.0 0.0 0.0 5
| 3 0.0 3.0 0.0 4
|
| We can also propagate non-null values forward or backward.
|
| >>> df.fillna(method="ffill")
| A B C D
| 0 NaN 2.0 NaN 0
| 1 3.0 4.0 NaN 1
| 2 3.0 4.0 NaN 5
| 3 3.0 3.0 NaN 4
|
| Replace all NaN elements in column 'A', 'B', 'C', and 'D', with 0, 1,
| 2, and 3 respectively.
|
| >>> values = {"A": 0, "B": 1, "C": 2, "D": 3}
| >>> df.fillna(value=values)
| A B C D
| 0 0.0 2.0 2.0 0
| 1 3.0 4.0 2.0 1
| 2 0.0 1.0 2.0 5
| 3 0.0 3.0 2.0 4
|
| Only replace the first NaN element.
|
| >>> df.fillna(value=values, limit=1)
| A B C D
| 0 0.0 2.0 2.0 0
| 1 3.0 4.0 NaN 1
| 2 NaN 1.0 NaN 5
| 3 NaN 3.0 NaN 4
|
| When filling using a DataFrame, replacement happens along
| the same column names and same indices
|
| >>> df2 = pd.DataFrame(np.zeros((4, 4)), columns=list("ABCE"))
| >>> df.fillna(df2)
| A B C D
| 0 0.0 2.0 0.0 0
| 1 3.0 4.0 0.0 1
| 2 0.0 0.0 0.0 5
| 3 0.0 3.0 0.0 4
|
| floordiv(self, other, axis='columns', level=None, fill_value=None)
| Get Integer division of dataframe and other, element-wise (binary operator `floordiv`).
|
| Equivalent to ``dataframe // other``, but with support to substitute a fill_value
| for missing data in one of the inputs. With reverse version, `rfloordiv`.
|
| Among flexible wrappers (`add`, `sub`, `mul`, `div`, `mod`, `pow`) to
| arithmetic operators: `+`, `-`, `*`, `/`, `//`, `%`, `**`.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns'). For Series input, axis to match Series index on.
| level : int or label
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| fill_value : float or None, default None
| Fill existing missing (NaN) values, and any new element needed for
| successful DataFrame alignment, with this value before computation.
| If data in both corresponding DataFrame locations is missing
| the result will be missing.
|
| Returns
| -------
| DataFrame
| Result of the arithmetic operation.
|
| See Also
| --------
| DataFrame.add : Add DataFrames.
| DataFrame.sub : Subtract DataFrames.
| DataFrame.mul : Multiply DataFrames.
| DataFrame.div : Divide DataFrames (float division).
| DataFrame.truediv : Divide DataFrames (float division).
| DataFrame.floordiv : Divide DataFrames (integer division).
| DataFrame.mod : Calculate modulo (remainder after division).
| DataFrame.pow : Calculate exponential power.
|
| Notes
| -----
| Mismatched indices will be unioned together.
|
| Examples
| --------
| >>> df = pd.DataFrame({'angles': [0, 3, 4],
| ... 'degrees': [360, 180, 360]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> df
| angles degrees
| circle 0 360
| triangle 3 180
| rectangle 4 360
|
| Add a scalar with operator version which return the same
| results.
|
| >>> df + 1
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| >>> df.add(1)
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| Divide by constant with reverse version.
|
| >>> df.div(10)
| angles degrees
| circle 0.0 36.0
| triangle 0.3 18.0
| rectangle 0.4 36.0
|
| >>> df.rdiv(10)
| angles degrees
| circle inf 0.027778
| triangle 3.333333 0.055556
| rectangle 2.500000 0.027778
|
| Subtract a list and Series by axis with operator version.
|
| >>> df - [1, 2]
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub([1, 2], axis='columns')
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub(pd.Series([1, 1, 1], index=['circle', 'triangle', 'rectangle']),
| ... axis='index')
| angles degrees
| circle -1 359
| triangle 2 179
| rectangle 3 359
|
| Multiply a DataFrame of different shape with operator version.
|
| >>> other = pd.DataFrame({'angles': [0, 3, 4]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> other
| angles
| circle 0
| triangle 3
| rectangle 4
|
| >>> df * other
| angles degrees
| circle 0 NaN
| triangle 9 NaN
| rectangle 16 NaN
|
| >>> df.mul(other, fill_value=0)
| angles degrees
| circle 0 0.0
| triangle 9 0.0
| rectangle 16 0.0
|
| Divide by a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'angles': [0, 3, 4, 4, 5, 6],
| ... 'degrees': [360, 180, 360, 360, 540, 720]},
| ... index=[['A', 'A', 'A', 'B', 'B', 'B'],
| ... ['circle', 'triangle', 'rectangle',
| ... 'square', 'pentagon', 'hexagon']])
| >>> df_multindex
| angles degrees
| A circle 0 360
| triangle 3 180
| rectangle 4 360
| B square 4 360
| pentagon 5 540
| hexagon 6 720
|
| >>> df.div(df_multindex, level=1, fill_value=0)
| angles degrees
| A circle NaN 1.0
| triangle 1.0 1.0
| rectangle 1.0 1.0
| B square 0.0 0.0
| pentagon 0.0 0.0
| hexagon 0.0 0.0
|
| ge(self, other, axis='columns', level=None)
| Get Greater than or equal to of dataframe and other, element-wise (binary operator `ge`).
|
| Among flexible wrappers (`eq`, `ne`, `le`, `lt`, `ge`, `gt`) to comparison
| operators.
|
| Equivalent to `==`, `!=`, `<=`, `<`, `>=`, `>` with support to choose axis
| (rows or columns) and level for comparison.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}, default 'columns'
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns').
| level : int or label
| Broadcast across a level, matching Index values on the passed
| MultiIndex level.
|
| Returns
| -------
| DataFrame of bool
| Result of the comparison.
|
| See Also
| --------
| DataFrame.eq : Compare DataFrames for equality elementwise.
| DataFrame.ne : Compare DataFrames for inequality elementwise.
| DataFrame.le : Compare DataFrames for less than inequality
| or equality elementwise.
| DataFrame.lt : Compare DataFrames for strictly less than
| inequality elementwise.
| DataFrame.ge : Compare DataFrames for greater than inequality
| or equality elementwise.
| DataFrame.gt : Compare DataFrames for strictly greater than
| inequality elementwise.
|
| Notes
| -----
| Mismatched indices will be unioned together.
| `NaN` values are considered different (i.e. `NaN` != `NaN`).
|
| Examples
| --------
| >>> df = pd.DataFrame({'cost': [250, 150, 100],
| ... 'revenue': [100, 250, 300]},
| ... index=['A', 'B', 'C'])
| >>> df
| cost revenue
| A 250 100
| B 150 250
| C 100 300
|
| Comparison with a scalar, using either the operator or method:
|
| >>> df == 100
| cost revenue
| A False True
| B False False
| C True False
|
| >>> df.eq(100)
| cost revenue
| A False True
| B False False
| C True False
|
| When `other` is a :class:`Series`, the columns of a DataFrame are aligned
| with the index of `other` and broadcast:
|
| >>> df != pd.Series([100, 250], index=["cost", "revenue"])
| cost revenue
| A True True
| B True False
| C False True
|
| Use the method to control the broadcast axis:
|
| >>> df.ne(pd.Series([100, 300], index=["A", "D"]), axis='index')
| cost revenue
| A True False
| B True True
| C True True
| D True True
|
| When comparing to an arbitrary sequence, the number of columns must
| match the number elements in `other`:
|
| >>> df == [250, 100]
| cost revenue
| A True True
| B False False
| C False False
|
| Use the method to control the axis:
|
| >>> df.eq([250, 250, 100], axis='index')
| cost revenue
| A True False
| B False True
| C True False
|
| Compare to a DataFrame of different shape.
|
| >>> other = pd.DataFrame({'revenue': [300, 250, 100, 150]},
| ... index=['A', 'B', 'C', 'D'])
| >>> other
| revenue
| A 300
| B 250
| C 100
| D 150
|
| >>> df.gt(other)
| cost revenue
| A False False
| B False False
| C False True
| D False False
|
| Compare to a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'cost': [250, 150, 100, 150, 300, 220],
| ... 'revenue': [100, 250, 300, 200, 175, 225]},
| ... index=[['Q1', 'Q1', 'Q1', 'Q2', 'Q2', 'Q2'],
| ... ['A', 'B', 'C', 'A', 'B', 'C']])
| >>> df_multindex
| cost revenue
| Q1 A 250 100
| B 150 250
| C 100 300
| Q2 A 150 200
| B 300 175
| C 220 225
|
| >>> df.le(df_multindex, level=1)
| cost revenue
| Q1 A True True
| B True True
| C True True
| Q2 A False True
| B True False
| C True False
|
| groupby(self, by=None, axis: 'Axis' = 0, level: 'Level | None' = None, as_index: 'bool' = True, sort: 'bool' = True, group_keys: 'bool' = True, squeeze: 'bool | lib.NoDefault' = <no_default>, observed: 'bool' = False, dropna: 'bool' = True) -> 'DataFrameGroupBy'
| Group DataFrame using a mapper or by a Series of columns.
|
| A groupby operation involves some combination of splitting the
| object, applying a function, and combining the results. This can be
| used to group large amounts of data and compute operations on these
| groups.
|
| Parameters
| ----------
| by : mapping, function, label, or list of labels
| Used to determine the groups for the groupby.
| If ``by`` is a function, it's called on each value of the object's
| index. If a dict or Series is passed, the Series or dict VALUES
| will be used to determine the groups (the Series' values are first
| aligned; see ``.align()`` method). If an ndarray is passed, the
| values are used as-is to determine the groups. A label or list of
| labels may be passed to group by the columns in ``self``. Notice
| that a tuple is interpreted as a (single) key.
| axis : {0 or 'index', 1 or 'columns'}, default 0
| Split along rows (0) or columns (1).
| level : int, level name, or sequence of such, default None
| If the axis is a MultiIndex (hierarchical), group by a particular
| level or levels.
| as_index : bool, default True
| For aggregated output, return object with group labels as the
| index. Only relevant for DataFrame input. as_index=False is
| effectively "SQL-style" grouped output.
| sort : bool, default True
| Sort group keys. Get better performance by turning this off.
| Note this does not influence the order of observations within each
| group. Groupby preserves the order of rows within each group.
| group_keys : bool, default True
| When calling apply, add group keys to index to identify pieces.
| squeeze : bool, default False
| Reduce the dimensionality of the return type if possible,
| otherwise return a consistent type.
|
| .. deprecated:: 1.1.0
|
| observed : bool, default False
| This only applies if any of the groupers are Categoricals.
| If True: only show observed values for categorical groupers.
| If False: show all values for categorical groupers.
| dropna : bool, default True
| If True, and if group keys contain NA values, NA values together
| with row/column will be dropped.
| If False, NA values will also be treated as the key in groups
|
| .. versionadded:: 1.1.0
|
| Returns
| -------
| DataFrameGroupBy
| Returns a groupby object that contains information about the groups.
|
| See Also
| --------
| resample : Convenience method for frequency conversion and resampling
| of time series.
|
| Notes
| -----
| See the `user guide
| <https://pandas.pydata.org/pandas-docs/stable/groupby.html>`__ for more.
|
| Examples
| --------
| >>> df = pd.DataFrame({'Animal': ['Falcon', 'Falcon',
| ... 'Parrot', 'Parrot'],
| ... 'Max Speed': [380., 370., 24., 26.]})
| >>> df
| Animal Max Speed
| 0 Falcon 380.0
| 1 Falcon 370.0
| 2 Parrot 24.0
| 3 Parrot 26.0
| >>> df.groupby(['Animal']).mean()
| Max Speed
| Animal
| Falcon 375.0
| Parrot 25.0
|
| **Hierarchical Indexes**
|
| We can groupby different levels of a hierarchical index
| using the `level` parameter:
|
| >>> arrays = [['Falcon', 'Falcon', 'Parrot', 'Parrot'],
| ... ['Captive', 'Wild', 'Captive', 'Wild']]
| >>> index = pd.MultiIndex.from_arrays(arrays, names=('Animal', 'Type'))
| >>> df = pd.DataFrame({'Max Speed': [390., 350., 30., 20.]},
| ... index=index)
| >>> df
| Max Speed
| Animal Type
| Falcon Captive 390.0
| Wild 350.0
| Parrot Captive 30.0
| Wild 20.0
| >>> df.groupby(level=0).mean()
| Max Speed
| Animal
| Falcon 370.0
| Parrot 25.0
| >>> df.groupby(level="Type").mean()
| Max Speed
| Type
| Captive 210.0
| Wild 185.0
|
| We can also choose to include NA in group keys or not by setting
| `dropna` parameter, the default setting is `True`:
|
| >>> l = [[1, 2, 3], [1, None, 4], [2, 1, 3], [1, 2, 2]]
| >>> df = pd.DataFrame(l, columns=["a", "b", "c"])
|
| >>> df.groupby(by=["b"]).sum()
| a c
| b
| 1.0 2 3
| 2.0 2 5
|
| >>> df.groupby(by=["b"], dropna=False).sum()
| a c
| b
| 1.0 2 3
| 2.0 2 5
| NaN 1 4
|
| >>> l = [["a", 12, 12], [None, 12.3, 33.], ["b", 12.3, 123], ["a", 1, 1]]
| >>> df = pd.DataFrame(l, columns=["a", "b", "c"])
|
| >>> df.groupby(by="a").sum()
| b c
| a
| a 13.0 13.0
| b 12.3 123.0
|
| >>> df.groupby(by="a", dropna=False).sum()
| b c
| a
| a 13.0 13.0
| b 12.3 123.0
| NaN 12.3 33.0
|
| gt(self, other, axis='columns', level=None)
| Get Greater than of dataframe and other, element-wise (binary operator `gt`).
|
| Among flexible wrappers (`eq`, `ne`, `le`, `lt`, `ge`, `gt`) to comparison
| operators.
|
| Equivalent to `==`, `!=`, `<=`, `<`, `>=`, `>` with support to choose axis
| (rows or columns) and level for comparison.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}, default 'columns'
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns').
| level : int or label
| Broadcast across a level, matching Index values on the passed
| MultiIndex level.
|
| Returns
| -------
| DataFrame of bool
| Result of the comparison.
|
| See Also
| --------
| DataFrame.eq : Compare DataFrames for equality elementwise.
| DataFrame.ne : Compare DataFrames for inequality elementwise.
| DataFrame.le : Compare DataFrames for less than inequality
| or equality elementwise.
| DataFrame.lt : Compare DataFrames for strictly less than
| inequality elementwise.
| DataFrame.ge : Compare DataFrames for greater than inequality
| or equality elementwise.
| DataFrame.gt : Compare DataFrames for strictly greater than
| inequality elementwise.
|
| Notes
| -----
| Mismatched indices will be unioned together.
| `NaN` values are considered different (i.e. `NaN` != `NaN`).
|
| Examples
| --------
| >>> df = pd.DataFrame({'cost': [250, 150, 100],
| ... 'revenue': [100, 250, 300]},
| ... index=['A', 'B', 'C'])
| >>> df
| cost revenue
| A 250 100
| B 150 250
| C 100 300
|
| Comparison with a scalar, using either the operator or method:
|
| >>> df == 100
| cost revenue
| A False True
| B False False
| C True False
|
| >>> df.eq(100)
| cost revenue
| A False True
| B False False
| C True False
|
| When `other` is a :class:`Series`, the columns of a DataFrame are aligned
| with the index of `other` and broadcast:
|
| >>> df != pd.Series([100, 250], index=["cost", "revenue"])
| cost revenue
| A True True
| B True False
| C False True
|
| Use the method to control the broadcast axis:
|
| >>> df.ne(pd.Series([100, 300], index=["A", "D"]), axis='index')
| cost revenue
| A True False
| B True True
| C True True
| D True True
|
| When comparing to an arbitrary sequence, the number of columns must
| match the number elements in `other`:
|
| >>> df == [250, 100]
| cost revenue
| A True True
| B False False
| C False False
|
| Use the method to control the axis:
|
| >>> df.eq([250, 250, 100], axis='index')
| cost revenue
| A True False
| B False True
| C True False
|
| Compare to a DataFrame of different shape.
|
| >>> other = pd.DataFrame({'revenue': [300, 250, 100, 150]},
| ... index=['A', 'B', 'C', 'D'])
| >>> other
| revenue
| A 300
| B 250
| C 100
| D 150
|
| >>> df.gt(other)
| cost revenue
| A False False
| B False False
| C False True
| D False False
|
| Compare to a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'cost': [250, 150, 100, 150, 300, 220],
| ... 'revenue': [100, 250, 300, 200, 175, 225]},
| ... index=[['Q1', 'Q1', 'Q1', 'Q2', 'Q2', 'Q2'],
| ... ['A', 'B', 'C', 'A', 'B', 'C']])
| >>> df_multindex
| cost revenue
| Q1 A 250 100
| B 150 250
| C 100 300
| Q2 A 150 200
| B 300 175
| C 220 225
|
| >>> df.le(df_multindex, level=1)
| cost revenue
| Q1 A True True
| B True True
| C True True
| Q2 A False True
| B True False
| C True False
|
| hist = hist_frame(data: 'DataFrame', column: 'IndexLabel' = None, by=None, grid: 'bool' = True, xlabelsize: 'int | None' = None, xrot: 'float | None' = None, ylabelsize: 'int | None' = None, yrot: 'float | None' = None, ax=None, sharex: 'bool' = False, sharey: 'bool' = False, figsize: 'tuple[int, int] | None' = None, layout: 'tuple[int, int] | None' = None, bins: 'int | Sequence[int]' = 10, backend: 'str | None' = None, legend: 'bool' = False, **kwargs)
| Make a histogram of the DataFrame's columns.
|
| A `histogram`_ is a representation of the distribution of data.
| This function calls :meth:`matplotlib.pyplot.hist`, on each series in
| the DataFrame, resulting in one histogram per column.
|
| .. _histogram: https://en.wikipedia.org/wiki/Histogram
|
| Parameters
| ----------
| data : DataFrame
| The pandas object holding the data.
| column : str or sequence, optional
| If passed, will be used to limit data to a subset of columns.
| by : object, optional
| If passed, then used to form histograms for separate groups.
| grid : bool, default True
| Whether to show axis grid lines.
| xlabelsize : int, default None
| If specified changes the x-axis label size.
| xrot : float, default None
| Rotation of x axis labels. For example, a value of 90 displays the
| x labels rotated 90 degrees clockwise.
| ylabelsize : int, default None
| If specified changes the y-axis label size.
| yrot : float, default None
| Rotation of y axis labels. For example, a value of 90 displays the
| y labels rotated 90 degrees clockwise.
| ax : Matplotlib axes object, default None
| The axes to plot the histogram on.
| sharex : bool, default True if ax is None else False
| In case subplots=True, share x axis and set some x axis labels to
| invisible; defaults to True if ax is None otherwise False if an ax
| is passed in.
| Note that passing in both an ax and sharex=True will alter all x axis
| labels for all subplots in a figure.
| sharey : bool, default False
| In case subplots=True, share y axis and set some y axis labels to
| invisible.
| figsize : tuple, optional
| The size in inches of the figure to create. Uses the value in
| `matplotlib.rcParams` by default.
| layout : tuple, optional
| Tuple of (rows, columns) for the layout of the histograms.
| bins : int or sequence, default 10
| Number of histogram bins to be used. If an integer is given, bins + 1
| bin edges are calculated and returned. If bins is a sequence, gives
| bin edges, including left edge of first bin and right edge of last
| bin. In this case, bins is returned unmodified.
|
| backend : str, default None
| Backend to use instead of the backend specified in the option
| ``plotting.backend``. For instance, 'matplotlib'. Alternatively, to
| specify the ``plotting.backend`` for the whole session, set
| ``pd.options.plotting.backend``.
|
| .. versionadded:: 1.0.0
|
| legend : bool, default False
| Whether to show the legend.
|
| .. versionadded:: 1.1.0
|
| **kwargs
| All other plotting keyword arguments to be passed to
| :meth:`matplotlib.pyplot.hist`.
|
| Returns
| -------
| matplotlib.AxesSubplot or numpy.ndarray of them
|
| See Also
| --------
| matplotlib.pyplot.hist : Plot a histogram using matplotlib.
|
| Examples
| --------
| This example draws a histogram based on the length and width of
| some animals, displayed in three bins
|
| .. plot::
| :context: close-figs
|
| >>> df = pd.DataFrame({
| ... 'length': [1.5, 0.5, 1.2, 0.9, 3],
| ... 'width': [0.7, 0.2, 0.15, 0.2, 1.1]
| ... }, index=['pig', 'rabbit', 'duck', 'chicken', 'horse'])
| >>> hist = df.hist(bins=3)
|
| idxmax(self, axis: 'Axis' = 0, skipna: 'bool' = True) -> 'Series'
| Return index of first occurrence of maximum over requested axis.
|
| NA/null values are excluded.
|
| Parameters
| ----------
| axis : {0 or 'index', 1 or 'columns'}, default 0
| The axis to use. 0 or 'index' for row-wise, 1 or 'columns' for column-wise.
| skipna : bool, default True
| Exclude NA/null values. If an entire row/column is NA, the result
| will be NA.
|
| Returns
| -------
| Series
| Indexes of maxima along the specified axis.
|
| Raises
| ------
| ValueError
| * If the row/column is empty
|
| See Also
| --------
| Series.idxmax : Return index of the maximum element.
|
| Notes
| -----
| This method is the DataFrame version of ``ndarray.argmax``.
|
| Examples
| --------
| Consider a dataset containing food consumption in Argentina.
|
| >>> df = pd.DataFrame({'consumption': [10.51, 103.11, 55.48],
| ... 'co2_emissions': [37.2, 19.66, 1712]},
| ... index=['Pork', 'Wheat Products', 'Beef'])
|
| >>> df
| consumption co2_emissions
| Pork 10.51 37.20
| Wheat Products 103.11 19.66
| Beef 55.48 1712.00
|
| By default, it returns the index for the maximum value in each column.
|
| >>> df.idxmax()
| consumption Wheat Products
| co2_emissions Beef
| dtype: object
|
| To return the index for the maximum value in each row, use ``axis="columns"``.
|
| >>> df.idxmax(axis="columns")
| Pork co2_emissions
| Wheat Products consumption
| Beef co2_emissions
| dtype: object
|
| idxmin(self, axis: 'Axis' = 0, skipna: 'bool' = True) -> 'Series'
| Return index of first occurrence of minimum over requested axis.
|
| NA/null values are excluded.
|
| Parameters
| ----------
| axis : {0 or 'index', 1 or 'columns'}, default 0
| The axis to use. 0 or 'index' for row-wise, 1 or 'columns' for column-wise.
| skipna : bool, default True
| Exclude NA/null values. If an entire row/column is NA, the result
| will be NA.
|
| Returns
| -------
| Series
| Indexes of minima along the specified axis.
|
| Raises
| ------
| ValueError
| * If the row/column is empty
|
| See Also
| --------
| Series.idxmin : Return index of the minimum element.
|
| Notes
| -----
| This method is the DataFrame version of ``ndarray.argmin``.
|
| Examples
| --------
| Consider a dataset containing food consumption in Argentina.
|
| >>> df = pd.DataFrame({'consumption': [10.51, 103.11, 55.48],
| ... 'co2_emissions': [37.2, 19.66, 1712]},
| ... index=['Pork', 'Wheat Products', 'Beef'])
|
| >>> df
| consumption co2_emissions
| Pork 10.51 37.20
| Wheat Products 103.11 19.66
| Beef 55.48 1712.00
|
| By default, it returns the index for the minimum value in each column.
|
| >>> df.idxmin()
| consumption Pork
| co2_emissions Wheat Products
| dtype: object
|
| To return the index for the minimum value in each row, use ``axis="columns"``.
|
| >>> df.idxmin(axis="columns")
| Pork consumption
| Wheat Products co2_emissions
| Beef consumption
| dtype: object
|
| info(self, verbose: 'bool | None' = None, buf: 'IO[str] | None' = None, max_cols: 'int | None' = None, memory_usage: 'bool | str | None' = None, show_counts: 'bool | None' = None, null_counts: 'bool | None' = None) -> 'None'
| Print a concise summary of a DataFrame.
|
| This method prints information about a DataFrame including
| the index dtype and columns, non-null values and memory usage.
|
| Parameters
| ----------
| data : DataFrame
| DataFrame to print information about.
| verbose : bool, optional
| Whether to print the full summary. By default, the setting in
| ``pandas.options.display.max_info_columns`` is followed.
| buf : writable buffer, defaults to sys.stdout
| Where to send the output. By default, the output is printed to
| sys.stdout. Pass a writable buffer if you need to further process
| the output.
| max_cols : int, optional
| When to switch from the verbose to the truncated output. If the
| DataFrame has more than `max_cols` columns, the truncated output
| is used. By default, the setting in
| ``pandas.options.display.max_info_columns`` is used.
| memory_usage : bool, str, optional
| Specifies whether total memory usage of the DataFrame
| elements (including the index) should be displayed. By default,
| this follows the ``pandas.options.display.memory_usage`` setting.
|
| True always show memory usage. False never shows memory usage.
| A value of 'deep' is equivalent to "True with deep introspection".
| Memory usage is shown in human-readable units (base-2
| representation). Without deep introspection a memory estimation is
| made based in column dtype and number of rows assuming values
| consume the same memory amount for corresponding dtypes. With deep
| memory introspection, a real memory usage calculation is performed
| at the cost of computational resources.
| show_counts : bool, optional
| Whether to show the non-null counts. By default, this is shown
| only if the DataFrame is smaller than
| ``pandas.options.display.max_info_rows`` and
| ``pandas.options.display.max_info_columns``. A value of True always
| shows the counts, and False never shows the counts.
| null_counts : bool, optional
| .. deprecated:: 1.2.0
| Use show_counts instead.
|
| Returns
| -------
| None
| This method prints a summary of a DataFrame and returns None.
|
| See Also
| --------
| DataFrame.describe: Generate descriptive statistics of DataFrame
| columns.
| DataFrame.memory_usage: Memory usage of DataFrame columns.
|
| Examples
| --------
| >>> int_values = [1, 2, 3, 4, 5]
| >>> text_values = ['alpha', 'beta', 'gamma', 'delta', 'epsilon']
| >>> float_values = [0.0, 0.25, 0.5, 0.75, 1.0]
| >>> df = pd.DataFrame({"int_col": int_values, "text_col": text_values,
| ... "float_col": float_values})
| >>> df
| int_col text_col float_col
| 0 1 alpha 0.00
| 1 2 beta 0.25
| 2 3 gamma 0.50
| 3 4 delta 0.75
| 4 5 epsilon 1.00
|
| Prints information of all columns:
|
| >>> df.info(verbose=True)
| <class 'pandas.core.frame.DataFrame'>
| RangeIndex: 5 entries, 0 to 4
| Data columns (total 3 columns):
| # Column Non-Null Count Dtype
| --- ------ -------------- -----
| 0 int_col 5 non-null int64
| 1 text_col 5 non-null object
| 2 float_col 5 non-null float64
| dtypes: float64(1), int64(1), object(1)
| memory usage: 248.0+ bytes
|
| Prints a summary of columns count and its dtypes but not per column
| information:
|
| >>> df.info(verbose=False)
| <class 'pandas.core.frame.DataFrame'>
| RangeIndex: 5 entries, 0 to 4
| Columns: 3 entries, int_col to float_col
| dtypes: float64(1), int64(1), object(1)
| memory usage: 248.0+ bytes
|
| Pipe output of DataFrame.info to buffer instead of sys.stdout, get
| buffer content and writes to a text file:
|
| >>> import io
| >>> buffer = io.StringIO()
| >>> df.info(buf=buffer)
| >>> s = buffer.getvalue()
| >>> with open("df_info.txt", "w",
| ... encoding="utf-8") as f: # doctest: +SKIP
| ... f.write(s)
| 260
|
| The `memory_usage` parameter allows deep introspection mode, specially
| useful for big DataFrames and fine-tune memory optimization:
|
| >>> random_strings_array = np.random.choice(['a', 'b', 'c'], 10 ** 6)
| >>> df = pd.DataFrame({
| ... 'column_1': np.random.choice(['a', 'b', 'c'], 10 ** 6),
| ... 'column_2': np.random.choice(['a', 'b', 'c'], 10 ** 6),
| ... 'column_3': np.random.choice(['a', 'b', 'c'], 10 ** 6)
| ... })
| >>> df.info()
| <class 'pandas.core.frame.DataFrame'>
| RangeIndex: 1000000 entries, 0 to 999999
| Data columns (total 3 columns):
| # Column Non-Null Count Dtype
| --- ------ -------------- -----
| 0 column_1 1000000 non-null object
| 1 column_2 1000000 non-null object
| 2 column_3 1000000 non-null object
| dtypes: object(3)
| memory usage: 22.9+ MB
|
| >>> df.info(memory_usage='deep')
| <class 'pandas.core.frame.DataFrame'>
| RangeIndex: 1000000 entries, 0 to 999999
| Data columns (total 3 columns):
| # Column Non-Null Count Dtype
| --- ------ -------------- -----
| 0 column_1 1000000 non-null object
| 1 column_2 1000000 non-null object
| 2 column_3 1000000 non-null object
| dtypes: object(3)
| memory usage: 165.9 MB
|
| insert(self, loc, column, value, allow_duplicates: 'bool' = False) -> 'None'
| Insert column into DataFrame at specified location.
|
| Raises a ValueError if `column` is already contained in the DataFrame,
| unless `allow_duplicates` is set to True.
|
| Parameters
| ----------
| loc : int
| Insertion index. Must verify 0 <= loc <= len(columns).
| column : str, number, or hashable object
| Label of the inserted column.
| value : int, Series, or array-like
| allow_duplicates : bool, optional
|
| See Also
| --------
| Index.insert : Insert new item by index.
|
| Examples
| --------
| >>> df = pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})
| >>> df
| col1 col2
| 0 1 3
| 1 2 4
| >>> df.insert(1, "newcol", [99, 99])
| >>> df
| col1 newcol col2
| 0 1 99 3
| 1 2 99 4
| >>> df.insert(0, "col1", [100, 100], allow_duplicates=True)
| >>> df
| col1 col1 newcol col2
| 0 100 1 99 3
| 1 100 2 99 4
|
| Notice that pandas uses index alignment in case of `value` from type `Series`:
|
| >>> df.insert(0, "col0", pd.Series([5, 6], index=[1, 2]))
| >>> df
| col0 col1 col1 newcol col2
| 0 NaN 100 1 99 3
| 1 5.0 100 2 99 4
|
| interpolate(self: 'DataFrame', method: 'str' = 'linear', axis: 'Axis' = 0, limit: 'int | None' = None, inplace: 'bool' = False, limit_direction: 'str | None' = None, limit_area: 'str | None' = None, downcast: 'str | None' = None, **kwargs) -> 'DataFrame | None'
| Fill NaN values using an interpolation method.
|
| Please note that only ``method='linear'`` is supported for
| DataFrame/Series with a MultiIndex.
|
| Parameters
| ----------
| method : str, default 'linear'
| Interpolation technique to use. One of:
|
| * 'linear': Ignore the index and treat the values as equally
| spaced. This is the only method supported on MultiIndexes.
| * 'time': Works on daily and higher resolution data to interpolate
| given length of interval.
| * 'index', 'values': use the actual numerical values of the index.
| * 'pad': Fill in NaNs using existing values.
| * 'nearest', 'zero', 'slinear', 'quadratic', 'cubic', 'spline',
| 'barycentric', 'polynomial': Passed to
| `scipy.interpolate.interp1d`. These methods use the numerical
| values of the index. Both 'polynomial' and 'spline' require that
| you also specify an `order` (int), e.g.
| ``df.interpolate(method='polynomial', order=5)``.
| * 'krogh', 'piecewise_polynomial', 'spline', 'pchip', 'akima',
| 'cubicspline': Wrappers around the SciPy interpolation methods of
| similar names. See `Notes`.
| * 'from_derivatives': Refers to
| `scipy.interpolate.BPoly.from_derivatives` which
| replaces 'piecewise_polynomial' interpolation method in
| scipy 0.18.
|
| axis : 0, default None
| Axis to interpolate along.
| limit : int, optional
| Maximum number of consecutive NaNs to fill. Must be greater than
| 0.
| inplace : bool, default False
| Update the data in place if possible.
| limit_direction : forward, Optional
| Consecutive NaNs will be filled in this direction.
|
| If limit is specified:
| * If 'method' is 'pad' or 'ffill', 'limit_direction' must be 'forward'.
| * If 'method' is 'backfill' or 'bfill', 'limit_direction' must be
| 'backwards'.
|
| If 'limit' is not specified:
| * If 'method' is 'backfill' or 'bfill', the default is 'backward'
| * else the default is 'forward'
|
| .. versionchanged:: 1.1.0
| raises ValueError if `limit_direction` is 'forward' or 'both' and
| method is 'backfill' or 'bfill'.
| raises ValueError if `limit_direction` is 'backward' or 'both' and
| method is 'pad' or 'ffill'.
|
| limit_area : , default None
| If limit is specified, consecutive NaNs will be filled with this
| restriction.
|
| * ``None``: No fill restriction.
| * 'inside': Only fill NaNs surrounded by valid values
| (interpolate).
| * 'outside': Only fill NaNs outside valid values (extrapolate).
|
| downcast : optional, 'infer' or None, defaults to None
| Downcast dtypes if possible.
| ``**kwargs`` : optional
| Keyword arguments to pass on to the interpolating function.
|
| Returns
| -------
| Series or DataFrame or None
| Returns the same object type as the caller, interpolated at
| some or all ``NaN`` values or None if ``inplace=True``.
|
| See Also
| --------
| fillna : Fill missing values using different methods.
| scipy.interpolate.Akima1DInterpolator : Piecewise cubic polynomials
| (Akima interpolator).
| scipy.interpolate.BPoly.from_derivatives : Piecewise polynomial in the
| Bernstein basis.
| scipy.interpolate.interp1d : Interpolate a 1-D function.
| scipy.interpolate.KroghInterpolator : Interpolate polynomial (Krogh
| interpolator).
| scipy.interpolate.PchipInterpolator : PCHIP 1-d monotonic cubic
| interpolation.
| scipy.interpolate.CubicSpline : Cubic spline data interpolator.
|
| Notes
| -----
| The 'krogh', 'piecewise_polynomial', 'spline', 'pchip' and 'akima'
| methods are wrappers around the respective SciPy implementations of
| similar names. These use the actual numerical values of the index.
| For more information on their behavior, see the
| `SciPy documentation
| <https://docs.scipy.org/doc/scipy/reference/interpolate.html#univariate-interpolation>`__
| and `SciPy tutorial
| <https://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html>`__.
|
| Examples
| --------
| Filling in ``NaN`` in a :class:`~pandas.Series` via linear
| interpolation.
|
| >>> s = pd.Series([0, 1, np.nan, 3])
| >>> s
| 0 0.0
| 1 1.0
| 2 NaN
| 3 3.0
| dtype: float64
| >>> s.interpolate()
| 0 0.0
| 1 1.0
| 2 2.0
| 3 3.0
| dtype: float64
|
| Filling in ``NaN`` in a Series by padding, but filling at most two
| consecutive ``NaN`` at a time.
|
| >>> s = pd.Series([np.nan, "single_one", np.nan,
| ... "fill_two_more", np.nan, np.nan, np.nan,
| ... 4.71, np.nan])
| >>> s
| 0 NaN
| 1 single_one
| 2 NaN
| 3 fill_two_more
| 4 NaN
| 5 NaN
| 6 NaN
| 7 4.71
| 8 NaN
| dtype: object
| >>> s.interpolate(method='pad', limit=2)
| 0 NaN
| 1 single_one
| 2 single_one
| 3 fill_two_more
| 4 fill_two_more
| 5 fill_two_more
| 6 NaN
| 7 4.71
| 8 4.71
| dtype: object
|
| Filling in ``NaN`` in a Series via polynomial interpolation or splines:
| Both 'polynomial' and 'spline' methods require that you also specify
| an ``order`` (int).
|
| >>> s = pd.Series([0, 2, np.nan, 8])
| >>> s.interpolate(method='polynomial', order=2)
| 0 0.000000
| 1 2.000000
| 2 4.666667
| 3 8.000000
| dtype: float64
|
| Fill the DataFrame forward (that is, going down) along each column
| using linear interpolation.
|
| Note how the last entry in column 'a' is interpolated differently,
| because there is no entry after it to use for interpolation.
| Note how the first entry in column 'b' remains ``NaN``, because there
| is no entry before it to use for interpolation.
|
| >>> df = pd.DataFrame([(0.0, np.nan, -1.0, 1.0),
| ... (np.nan, 2.0, np.nan, np.nan),
| ... (2.0, 3.0, np.nan, 9.0),
| ... (np.nan, 4.0, -4.0, 16.0)],
| ... columns=list('abcd'))
| >>> df
| a b c d
| 0 0.0 NaN -1.0 1.0
| 1 NaN 2.0 NaN NaN
| 2 2.0 3.0 NaN 9.0
| 3 NaN 4.0 -4.0 16.0
| >>> df.interpolate(method='linear', limit_direction='forward', axis=0)
| a b c d
| 0 0.0 NaN -1.0 1.0
| 1 1.0 2.0 -2.0 5.0
| 2 2.0 3.0 -3.0 9.0
| 3 2.0 4.0 -4.0 16.0
|
| Using polynomial interpolation.
|
| >>> df['d'].interpolate(method='polynomial', order=2)
| 0 1.0
| 1 4.0
| 2 9.0
| 3 16.0
| Name: d, dtype: float64
|
| isin(self, values) -> 'DataFrame'
| Whether each element in the DataFrame is contained in values.
|
| Parameters
| ----------
| values : iterable, Series, DataFrame or dict
| The result will only be true at a location if all the
| labels match. If `values` is a Series, that's the index. If
| `values` is a dict, the keys must be the column names,
| which must match. If `values` is a DataFrame,
| then both the index and column labels must match.
|
| Returns
| -------
| DataFrame
| DataFrame of booleans showing whether each element in the DataFrame
| is contained in values.
|
| See Also
| --------
| DataFrame.eq: Equality test for DataFrame.
| Series.isin: Equivalent method on Series.
| Series.str.contains: Test if pattern or regex is contained within a
| string of a Series or Index.
|
| Examples
| --------
| >>> df = pd.DataFrame({'num_legs': [2, 4], 'num_wings': [2, 0]},
| ... index=['falcon', 'dog'])
| >>> df
| num_legs num_wings
| falcon 2 2
| dog 4 0
|
| When ``values`` is a list check whether every value in the DataFrame
| is present in the list (which animals have 0 or 2 legs or wings)
|
| >>> df.isin([0, 2])
| num_legs num_wings
| falcon True True
| dog False True
|
| When ``values`` is a dict, we can pass values to check for each
| column separately:
|
| >>> df.isin({'num_wings': [0, 3]})
| num_legs num_wings
| falcon False False
| dog False True
|
| When ``values`` is a Series or DataFrame the index and column must
| match. Note that 'falcon' does not match based on the number of legs
| in df2.
|
| >>> other = pd.DataFrame({'num_legs': [8, 2], 'num_wings': [0, 2]},
| ... index=['spider', 'falcon'])
| >>> df.isin(other)
| num_legs num_wings
| falcon True True
| dog False False
|
| isna(self) -> 'DataFrame'
| Detect missing values.
|
| Return a boolean same-sized object indicating if the values are NA.
| NA values, such as None or :attr:`numpy.NaN`, gets mapped to True
| values.
| Everything else gets mapped to False values. Characters such as empty
| strings ``''`` or :attr:`numpy.inf` are not considered NA values
| (unless you set ``pandas.options.mode.use_inf_as_na = True``).
|
| Returns
| -------
| DataFrame
| Mask of bool values for each element in DataFrame that
| indicates whether an element is an NA value.
|
| See Also
| --------
| DataFrame.isnull : Alias of isna.
| DataFrame.notna : Boolean inverse of isna.
| DataFrame.dropna : Omit axes labels with missing values.
| isna : Top-level isna.
|
| Examples
| --------
| Show which entries in a DataFrame are NA.
|
| >>> df = pd.DataFrame(dict(age=[5, 6, np.NaN],
| ... born=[pd.NaT, pd.Timestamp('1939-05-27'),
| ... pd.Timestamp('1940-04-25')],
| ... name=['Alfred', 'Batman', ''],
| ... toy=[None, 'Batmobile', 'Joker']))
| >>> df
| age born name toy
| 0 5.0 NaT Alfred None
| 1 6.0 1939-05-27 Batman Batmobile
| 2 NaN 1940-04-25 Joker
|
| >>> df.isna()
| age born name toy
| 0 False True False True
| 1 False False False False
| 2 True False False False
|
| Show which entries in a Series are NA.
|
| >>> ser = pd.Series([5, 6, np.NaN])
| >>> ser
| 0 5.0
| 1 6.0
| 2 NaN
| dtype: float64
|
| >>> ser.isna()
| 0 False
| 1 False
| 2 True
| dtype: bool
|
| isnull(self) -> 'DataFrame'
| Detect missing values.
|
| Return a boolean same-sized object indicating if the values are NA.
| NA values, such as None or :attr:`numpy.NaN`, gets mapped to True
| values.
| Everything else gets mapped to False values. Characters such as empty
| strings ``''`` or :attr:`numpy.inf` are not considered NA values
| (unless you set ``pandas.options.mode.use_inf_as_na = True``).
|
| Returns
| -------
| DataFrame
| Mask of bool values for each element in DataFrame that
| indicates whether an element is an NA value.
|
| See Also
| --------
| DataFrame.isnull : Alias of isna.
| DataFrame.notna : Boolean inverse of isna.
| DataFrame.dropna : Omit axes labels with missing values.
| isna : Top-level isna.
|
| Examples
| --------
| Show which entries in a DataFrame are NA.
|
| >>> df = pd.DataFrame(dict(age=[5, 6, np.NaN],
| ... born=[pd.NaT, pd.Timestamp('1939-05-27'),
| ... pd.Timestamp('1940-04-25')],
| ... name=['Alfred', 'Batman', ''],
| ... toy=[None, 'Batmobile', 'Joker']))
| >>> df
| age born name toy
| 0 5.0 NaT Alfred None
| 1 6.0 1939-05-27 Batman Batmobile
| 2 NaN 1940-04-25 Joker
|
| >>> df.isna()
| age born name toy
| 0 False True False True
| 1 False False False False
| 2 True False False False
|
| Show which entries in a Series are NA.
|
| >>> ser = pd.Series([5, 6, np.NaN])
| >>> ser
| 0 5.0
| 1 6.0
| 2 NaN
| dtype: float64
|
| >>> ser.isna()
| 0 False
| 1 False
| 2 True
| dtype: bool
|
| items(self) -> 'Iterable[tuple[Hashable, Series]]'
| Iterate over (column name, Series) pairs.
|
| Iterates over the DataFrame columns, returning a tuple with
| the column name and the content as a Series.
|
| Yields
| ------
| label : object
| The column names for the DataFrame being iterated over.
| content : Series
| The column entries belonging to each label, as a Series.
|
| See Also
| --------
| DataFrame.iterrows : Iterate over DataFrame rows as
| (index, Series) pairs.
| DataFrame.itertuples : Iterate over DataFrame rows as namedtuples
| of the values.
|
| Examples
| --------
| >>> df = pd.DataFrame({'species': ['bear', 'bear', 'marsupial'],
| ... 'population': [1864, 22000, 80000]},
| ... index=['panda', 'polar', 'koala'])
| >>> df
| species population
| panda bear 1864
| polar bear 22000
| koala marsupial 80000
| >>> for label, content in df.items():
| ... print(f'label: {label}')
| ... print(f'content: {content}', sep='\n')
| ...
| label: species
| content:
| panda bear
| polar bear
| koala marsupial
| Name: species, dtype: object
| label: population
| content:
| panda 1864
| polar 22000
| koala 80000
| Name: population, dtype: int64
|
| iteritems(self) -> 'Iterable[tuple[Hashable, Series]]'
| Iterate over (column name, Series) pairs.
|
| Iterates over the DataFrame columns, returning a tuple with
| the column name and the content as a Series.
|
| Yields
| ------
| label : object
| The column names for the DataFrame being iterated over.
| content : Series
| The column entries belonging to each label, as a Series.
|
| See Also
| --------
| DataFrame.iterrows : Iterate over DataFrame rows as
| (index, Series) pairs.
| DataFrame.itertuples : Iterate over DataFrame rows as namedtuples
| of the values.
|
| Examples
| --------
| >>> df = pd.DataFrame({'species': ['bear', 'bear', 'marsupial'],
| ... 'population': [1864, 22000, 80000]},
| ... index=['panda', 'polar', 'koala'])
| >>> df
| species population
| panda bear 1864
| polar bear 22000
| koala marsupial 80000
| >>> for label, content in df.items():
| ... print(f'label: {label}')
| ... print(f'content: {content}', sep='\n')
| ...
| label: species
| content:
| panda bear
| polar bear
| koala marsupial
| Name: species, dtype: object
| label: population
| content:
| panda 1864
| polar 22000
| koala 80000
| Name: population, dtype: int64
|
| iterrows(self) -> 'Iterable[tuple[Hashable, Series]]'
| Iterate over DataFrame rows as (index, Series) pairs.
|
| Yields
| ------
| index : label or tuple of label
| The index of the row. A tuple for a `MultiIndex`.
| data : Series
| The data of the row as a Series.
|
| See Also
| --------
| DataFrame.itertuples : Iterate over DataFrame rows as namedtuples of the values.
| DataFrame.items : Iterate over (column name, Series) pairs.
|
| Notes
| -----
| 1. Because ``iterrows`` returns a Series for each row,
| it does **not** preserve dtypes across the rows (dtypes are
| preserved across columns for DataFrames). For example,
|
| >>> df = pd.DataFrame([[1, 1.5]], columns=['int', 'float'])
| >>> row = next(df.iterrows())[1]
| >>> row
| int 1.0
| float 1.5
| Name: 0, dtype: float64
| >>> print(row['int'].dtype)
| float64
| >>> print(df['int'].dtype)
| int64
|
| To preserve dtypes while iterating over the rows, it is better
| to use :meth:`itertuples` which returns namedtuples of the values
| and which is generally faster than ``iterrows``.
|
| 2. You should **never modify** something you are iterating over.
| This is not guaranteed to work in all cases. Depending on the
| data types, the iterator returns a copy and not a view, and writing
| to it will have no effect.
|
| itertuples(self, index: 'bool' = True, name: 'str | None' = 'Pandas') -> 'Iterable[tuple[Any, ...]]'
| Iterate over DataFrame rows as namedtuples.
|
| Parameters
| ----------
| index : bool, default True
| If True, return the index as the first element of the tuple.
| name : str or None, default "Pandas"
| The name of the returned namedtuples or None to return regular
| tuples.
|
| Returns
| -------
| iterator
| An object to iterate over namedtuples for each row in the
| DataFrame with the first field possibly being the index and
| following fields being the column values.
|
| See Also
| --------
| DataFrame.iterrows : Iterate over DataFrame rows as (index, Series)
| pairs.
| DataFrame.items : Iterate over (column name, Series) pairs.
|
| Notes
| -----
| The column names will be renamed to positional names if they are
| invalid Python identifiers, repeated, or start with an underscore.
| On python versions < 3.7 regular tuples are returned for DataFrames
| with a large number of columns (>254).
|
| Examples
| --------
| >>> df = pd.DataFrame({'num_legs': [4, 2], 'num_wings': [0, 2]},
| ... index=['dog', 'hawk'])
| >>> df
| num_legs num_wings
| dog 4 0
| hawk 2 2
| >>> for row in df.itertuples():
| ... print(row)
| ...
| Pandas(Index='dog', num_legs=4, num_wings=0)
| Pandas(Index='hawk', num_legs=2, num_wings=2)
|
| By setting the `index` parameter to False we can remove the index
| as the first element of the tuple:
|
| >>> for row in df.itertuples(index=False):
| ... print(row)
| ...
| Pandas(num_legs=4, num_wings=0)
| Pandas(num_legs=2, num_wings=2)
|
| With the `name` parameter set we set a custom name for the yielded
| namedtuples:
|
| >>> for row in df.itertuples(name='Animal'):
| ... print(row)
| ...
| Animal(Index='dog', num_legs=4, num_wings=0)
| Animal(Index='hawk', num_legs=2, num_wings=2)
|
| join(self, other: 'FrameOrSeriesUnion', on: 'IndexLabel | None' = None, how: 'str' = 'left', lsuffix: 'str' = '', rsuffix: 'str' = '', sort: 'bool' = False) -> 'DataFrame'
| Join columns of another DataFrame.
|
| Join columns with `other` DataFrame either on index or on a key
| column. Efficiently join multiple DataFrame objects by index at once by
| passing a list.
|
| Parameters
| ----------
| other : DataFrame, Series, or list of DataFrame
| Index should be similar to one of the columns in this one. If a
| Series is passed, its name attribute must be set, and that will be
| used as the column name in the resulting joined DataFrame.
| on : str, list of str, or array-like, optional
| Column or index level name(s) in the caller to join on the index
| in `other`, otherwise joins index-on-index. If multiple
| values given, the `other` DataFrame must have a MultiIndex. Can
| pass an array as the join key if it is not already contained in
| the calling DataFrame. Like an Excel VLOOKUP operation.
| how : {'left', 'right', 'outer', 'inner'}, default 'left'
| How to handle the operation of the two objects.
|
| * left: use calling frame's index (or column if on is specified)
| * right: use `other`'s index.
| * outer: form union of calling frame's index (or column if on is
| specified) with `other`'s index, and sort it.
| lexicographically.
| * inner: form intersection of calling frame's index (or column if
| on is specified) with `other`'s index, preserving the order
| of the calling's one.
| lsuffix : str, default ''
| Suffix to use from left frame's overlapping columns.
| rsuffix : str, default ''
| Suffix to use from right frame's overlapping columns.
| sort : bool, default False
| Order result DataFrame lexicographically by the join key. If False,
| the order of the join key depends on the join type (how keyword).
|
| Returns
| -------
| DataFrame
| A dataframe containing columns from both the caller and `other`.
|
| See Also
| --------
| DataFrame.merge : For column(s)-on-column(s) operations.
|
| Notes
| -----
| Parameters `on`, `lsuffix`, and `rsuffix` are not supported when
| passing a list of `DataFrame` objects.
|
| Support for specifying index levels as the `on` parameter was added
| in version 0.23.0.
|
| Examples
| --------
| >>> df = pd.DataFrame({'key': ['K0', 'K1', 'K2', 'K3', 'K4', 'K5'],
| ... 'A': ['A0', 'A1', 'A2', 'A3', 'A4', 'A5']})
|
| >>> df
| key A
| 0 K0 A0
| 1 K1 A1
| 2 K2 A2
| 3 K3 A3
| 4 K4 A4
| 5 K5 A5
|
| >>> other = pd.DataFrame({'key': ['K0', 'K1', 'K2'],
| ... 'B': ['B0', 'B1', 'B2']})
|
| >>> other
| key B
| 0 K0 B0
| 1 K1 B1
| 2 K2 B2
|
| Join DataFrames using their indexes.
|
| >>> df.join(other, lsuffix='_caller', rsuffix='_other')
| key_caller A key_other B
| 0 K0 A0 K0 B0
| 1 K1 A1 K1 B1
| 2 K2 A2 K2 B2
| 3 K3 A3 NaN NaN
| 4 K4 A4 NaN NaN
| 5 K5 A5 NaN NaN
|
| If we want to join using the key columns, we need to set key to be
| the index in both `df` and `other`. The joined DataFrame will have
| key as its index.
|
| >>> df.set_index('key').join(other.set_index('key'))
| A B
| key
| K0 A0 B0
| K1 A1 B1
| K2 A2 B2
| K3 A3 NaN
| K4 A4 NaN
| K5 A5 NaN
|
| Another option to join using the key columns is to use the `on`
| parameter. DataFrame.join always uses `other`'s index but we can use
| any column in `df`. This method preserves the original DataFrame's
| index in the result.
|
| >>> df.join(other.set_index('key'), on='key')
| key A B
| 0 K0 A0 B0
| 1 K1 A1 B1
| 2 K2 A2 B2
| 3 K3 A3 NaN
| 4 K4 A4 NaN
| 5 K5 A5 NaN
|
| kurt(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs)
| Return unbiased kurtosis over requested axis.
|
| Kurtosis obtained using Fisher's definition of
| kurtosis (kurtosis of normal == 0.0). Normalized by N-1.
|
| Parameters
| ----------
| axis : {index (0), columns (1)}
| Axis for the function to be applied on.
| skipna : bool, default True
| Exclude NA/null values when computing the result.
| level : int or level name, default None
| If the axis is a MultiIndex (hierarchical), count along a
| particular level, collapsing into a Series.
| numeric_only : bool, default None
| Include only float, int, boolean columns. If None, will attempt to use
| everything, then use only numeric data. Not implemented for Series.
| **kwargs
| Additional keyword arguments to be passed to the function.
|
| Returns
| -------
| Series or DataFrame (if level specified)
|
| kurtosis = kurt(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs)
|
| le(self, other, axis='columns', level=None)
| Get Less than or equal to of dataframe and other, element-wise (binary operator `le`).
|
| Among flexible wrappers (`eq`, `ne`, `le`, `lt`, `ge`, `gt`) to comparison
| operators.
|
| Equivalent to `==`, `!=`, `<=`, `<`, `>=`, `>` with support to choose axis
| (rows or columns) and level for comparison.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}, default 'columns'
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns').
| level : int or label
| Broadcast across a level, matching Index values on the passed
| MultiIndex level.
|
| Returns
| -------
| DataFrame of bool
| Result of the comparison.
|
| See Also
| --------
| DataFrame.eq : Compare DataFrames for equality elementwise.
| DataFrame.ne : Compare DataFrames for inequality elementwise.
| DataFrame.le : Compare DataFrames for less than inequality
| or equality elementwise.
| DataFrame.lt : Compare DataFrames for strictly less than
| inequality elementwise.
| DataFrame.ge : Compare DataFrames for greater than inequality
| or equality elementwise.
| DataFrame.gt : Compare DataFrames for strictly greater than
| inequality elementwise.
|
| Notes
| -----
| Mismatched indices will be unioned together.
| `NaN` values are considered different (i.e. `NaN` != `NaN`).
|
| Examples
| --------
| >>> df = pd.DataFrame({'cost': [250, 150, 100],
| ... 'revenue': [100, 250, 300]},
| ... index=['A', 'B', 'C'])
| >>> df
| cost revenue
| A 250 100
| B 150 250
| C 100 300
|
| Comparison with a scalar, using either the operator or method:
|
| >>> df == 100
| cost revenue
| A False True
| B False False
| C True False
|
| >>> df.eq(100)
| cost revenue
| A False True
| B False False
| C True False
|
| When `other` is a :class:`Series`, the columns of a DataFrame are aligned
| with the index of `other` and broadcast:
|
| >>> df != pd.Series([100, 250], index=["cost", "revenue"])
| cost revenue
| A True True
| B True False
| C False True
|
| Use the method to control the broadcast axis:
|
| >>> df.ne(pd.Series([100, 300], index=["A", "D"]), axis='index')
| cost revenue
| A True False
| B True True
| C True True
| D True True
|
| When comparing to an arbitrary sequence, the number of columns must
| match the number elements in `other`:
|
| >>> df == [250, 100]
| cost revenue
| A True True
| B False False
| C False False
|
| Use the method to control the axis:
|
| >>> df.eq([250, 250, 100], axis='index')
| cost revenue
| A True False
| B False True
| C True False
|
| Compare to a DataFrame of different shape.
|
| >>> other = pd.DataFrame({'revenue': [300, 250, 100, 150]},
| ... index=['A', 'B', 'C', 'D'])
| >>> other
| revenue
| A 300
| B 250
| C 100
| D 150
|
| >>> df.gt(other)
| cost revenue
| A False False
| B False False
| C False True
| D False False
|
| Compare to a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'cost': [250, 150, 100, 150, 300, 220],
| ... 'revenue': [100, 250, 300, 200, 175, 225]},
| ... index=[['Q1', 'Q1', 'Q1', 'Q2', 'Q2', 'Q2'],
| ... ['A', 'B', 'C', 'A', 'B', 'C']])
| >>> df_multindex
| cost revenue
| Q1 A 250 100
| B 150 250
| C 100 300
| Q2 A 150 200
| B 300 175
| C 220 225
|
| >>> df.le(df_multindex, level=1)
| cost revenue
| Q1 A True True
| B True True
| C True True
| Q2 A False True
| B True False
| C True False
|
| lookup(self, row_labels: 'Sequence[IndexLabel]', col_labels: 'Sequence[IndexLabel]') -> 'np.ndarray'
| Label-based "fancy indexing" function for DataFrame.
| Given equal-length arrays of row and column labels, return an
| array of the values corresponding to each (row, col) pair.
|
| .. deprecated:: 1.2.0
| DataFrame.lookup is deprecated,
| use DataFrame.melt and DataFrame.loc instead.
| For further details see
| :ref:`Looking up values by index/column labels <indexing.lookup>`.
|
| Parameters
| ----------
| row_labels : sequence
| The row labels to use for lookup.
| col_labels : sequence
| The column labels to use for lookup.
|
| Returns
| -------
| numpy.ndarray
| The found values.
|
| lt(self, other, axis='columns', level=None)
| Get Less than of dataframe and other, element-wise (binary operator `lt`).
|
| Among flexible wrappers (`eq`, `ne`, `le`, `lt`, `ge`, `gt`) to comparison
| operators.
|
| Equivalent to `==`, `!=`, `<=`, `<`, `>=`, `>` with support to choose axis
| (rows or columns) and level for comparison.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}, default 'columns'
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns').
| level : int or label
| Broadcast across a level, matching Index values on the passed
| MultiIndex level.
|
| Returns
| -------
| DataFrame of bool
| Result of the comparison.
|
| See Also
| --------
| DataFrame.eq : Compare DataFrames for equality elementwise.
| DataFrame.ne : Compare DataFrames for inequality elementwise.
| DataFrame.le : Compare DataFrames for less than inequality
| or equality elementwise.
| DataFrame.lt : Compare DataFrames for strictly less than
| inequality elementwise.
| DataFrame.ge : Compare DataFrames for greater than inequality
| or equality elementwise.
| DataFrame.gt : Compare DataFrames for strictly greater than
| inequality elementwise.
|
| Notes
| -----
| Mismatched indices will be unioned together.
| `NaN` values are considered different (i.e. `NaN` != `NaN`).
|
| Examples
| --------
| >>> df = pd.DataFrame({'cost': [250, 150, 100],
| ... 'revenue': [100, 250, 300]},
| ... index=['A', 'B', 'C'])
| >>> df
| cost revenue
| A 250 100
| B 150 250
| C 100 300
|
| Comparison with a scalar, using either the operator or method:
|
| >>> df == 100
| cost revenue
| A False True
| B False False
| C True False
|
| >>> df.eq(100)
| cost revenue
| A False True
| B False False
| C True False
|
| When `other` is a :class:`Series`, the columns of a DataFrame are aligned
| with the index of `other` and broadcast:
|
| >>> df != pd.Series([100, 250], index=["cost", "revenue"])
| cost revenue
| A True True
| B True False
| C False True
|
| Use the method to control the broadcast axis:
|
| >>> df.ne(pd.Series([100, 300], index=["A", "D"]), axis='index')
| cost revenue
| A True False
| B True True
| C True True
| D True True
|
| When comparing to an arbitrary sequence, the number of columns must
| match the number elements in `other`:
|
| >>> df == [250, 100]
| cost revenue
| A True True
| B False False
| C False False
|
| Use the method to control the axis:
|
| >>> df.eq([250, 250, 100], axis='index')
| cost revenue
| A True False
| B False True
| C True False
|
| Compare to a DataFrame of different shape.
|
| >>> other = pd.DataFrame({'revenue': [300, 250, 100, 150]},
| ... index=['A', 'B', 'C', 'D'])
| >>> other
| revenue
| A 300
| B 250
| C 100
| D 150
|
| >>> df.gt(other)
| cost revenue
| A False False
| B False False
| C False True
| D False False
|
| Compare to a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'cost': [250, 150, 100, 150, 300, 220],
| ... 'revenue': [100, 250, 300, 200, 175, 225]},
| ... index=[['Q1', 'Q1', 'Q1', 'Q2', 'Q2', 'Q2'],
| ... ['A', 'B', 'C', 'A', 'B', 'C']])
| >>> df_multindex
| cost revenue
| Q1 A 250 100
| B 150 250
| C 100 300
| Q2 A 150 200
| B 300 175
| C 220 225
|
| >>> df.le(df_multindex, level=1)
| cost revenue
| Q1 A True True
| B True True
| C True True
| Q2 A False True
| B True False
| C True False
|
| mad(self, axis=None, skipna=None, level=None)
| Return the mean absolute deviation of the values over the requested axis.
|
| Parameters
| ----------
| axis : {index (0), columns (1)}
| Axis for the function to be applied on.
| skipna : bool, default None
| Exclude NA/null values when computing the result.
| level : int or level name, default None
| If the axis is a MultiIndex (hierarchical), count along a
| particular level, collapsing into a Series.
|
| Returns
| -------
| Series or DataFrame (if level specified)
|
| mask(self, cond, other=nan, inplace=False, axis=None, level=None, errors='raise', try_cast=<no_default>)
| Replace values where the condition is True.
|
| Parameters
| ----------
| cond : bool Series/DataFrame, array-like, or callable
| Where `cond` is False, keep the original value. Where
| True, replace with corresponding value from `other`.
| If `cond` is callable, it is computed on the Series/DataFrame and
| should return boolean Series/DataFrame or array. The callable must
| not change input Series/DataFrame (though pandas doesn't check it).
| other : scalar, Series/DataFrame, or callable
| Entries where `cond` is True are replaced with
| corresponding value from `other`.
| If other is callable, it is computed on the Series/DataFrame and
| should return scalar or Series/DataFrame. The callable must not
| change input Series/DataFrame (though pandas doesn't check it).
| inplace : bool, default False
| Whether to perform the operation in place on the data.
| axis : int, default None
| Alignment axis if needed.
| level : int, default None
| Alignment level if needed.
| errors : str, {'raise', 'ignore'}, default 'raise'
| Note that currently this parameter won't affect
| the results and will always coerce to a suitable dtype.
|
| - 'raise' : allow exceptions to be raised.
| - 'ignore' : suppress exceptions. On error return original object.
|
| try_cast : bool, default None
| Try to cast the result back to the input type (if possible).
|
| .. deprecated:: 1.3.0
| Manually cast back if necessary.
|
| Returns
| -------
| Same type as caller or None if ``inplace=True``.
|
| See Also
| --------
| :func:`DataFrame.where` : Return an object of same shape as
| self.
|
| Notes
| -----
| The mask method is an application of the if-then idiom. For each
| element in the calling DataFrame, if ``cond`` is ``False`` the
| element is used; otherwise the corresponding element from the DataFrame
| ``other`` is used.
|
| The signature for :func:`DataFrame.where` differs from
| :func:`numpy.where`. Roughly ``df1.where(m, df2)`` is equivalent to
| ``np.where(m, df1, df2)``.
|
| For further details and examples see the ``mask`` documentation in
| :ref:`indexing <indexing.where_mask>`.
|
| Examples
| --------
| >>> s = pd.Series(range(5))
| >>> s.where(s > 0)
| 0 NaN
| 1 1.0
| 2 2.0
| 3 3.0
| 4 4.0
| dtype: float64
| >>> s.mask(s > 0)
| 0 0.0
| 1 NaN
| 2 NaN
| 3 NaN
| 4 NaN
| dtype: float64
|
| >>> s.where(s > 1, 10)
| 0 10
| 1 10
| 2 2
| 3 3
| 4 4
| dtype: int64
| >>> s.mask(s > 1, 10)
| 0 0
| 1 1
| 2 10
| 3 10
| 4 10
| dtype: int64
|
| >>> df = pd.DataFrame(np.arange(10).reshape(-1, 2), columns=['A', 'B'])
| >>> df
| A B
| 0 0 1
| 1 2 3
| 2 4 5
| 3 6 7
| 4 8 9
| >>> m = df % 3 == 0
| >>> df.where(m, -df)
| A B
| 0 0 -1
| 1 -2 3
| 2 -4 -5
| 3 6 -7
| 4 -8 9
| >>> df.where(m, -df) == np.where(m, df, -df)
| A B
| 0 True True
| 1 True True
| 2 True True
| 3 True True
| 4 True True
| >>> df.where(m, -df) == df.mask(~m, -df)
| A B
| 0 True True
| 1 True True
| 2 True True
| 3 True True
| 4 True True
|
| max(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs)
| Return the maximum of the values over the requested axis.
|
| If you want the *index* of the maximum, use ``idxmax``. This is the equivalent of the ``numpy.ndarray`` method ``argmax``.
|
| Parameters
| ----------
| axis : {index (0), columns (1)}
| Axis for the function to be applied on.
| skipna : bool, default True
| Exclude NA/null values when computing the result.
| level : int or level name, default None
| If the axis is a MultiIndex (hierarchical), count along a
| particular level, collapsing into a Series.
| numeric_only : bool, default None
| Include only float, int, boolean columns. If None, will attempt to use
| everything, then use only numeric data. Not implemented for Series.
| **kwargs
| Additional keyword arguments to be passed to the function.
|
| Returns
| -------
| Series or DataFrame (if level specified)
|
| See Also
| --------
| Series.sum : Return the sum.
| Series.min : Return the minimum.
| Series.max : Return the maximum.
| Series.idxmin : Return the index of the minimum.
| Series.idxmax : Return the index of the maximum.
| DataFrame.sum : Return the sum over the requested axis.
| DataFrame.min : Return the minimum over the requested axis.
| DataFrame.max : Return the maximum over the requested axis.
| DataFrame.idxmin : Return the index of the minimum over the requested axis.
| DataFrame.idxmax : Return the index of the maximum over the requested axis.
|
| Examples
| --------
| >>> idx = pd.MultiIndex.from_arrays([
| ... ['warm', 'warm', 'cold', 'cold'],
| ... ['dog', 'falcon', 'fish', 'spider']],
| ... names=['blooded', 'animal'])
| >>> s = pd.Series([4, 2, 0, 8], name='legs', index=idx)
| >>> s
| blooded animal
| warm dog 4
| falcon 2
| cold fish 0
| spider 8
| Name: legs, dtype: int64
|
| >>> s.max()
| 8
|
| mean(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs)
| Return the mean of the values over the requested axis.
|
| Parameters
| ----------
| axis : {index (0), columns (1)}
| Axis for the function to be applied on.
| skipna : bool, default True
| Exclude NA/null values when computing the result.
| level : int or level name, default None
| If the axis is a MultiIndex (hierarchical), count along a
| particular level, collapsing into a Series.
| numeric_only : bool, default None
| Include only float, int, boolean columns. If None, will attempt to use
| everything, then use only numeric data. Not implemented for Series.
| **kwargs
| Additional keyword arguments to be passed to the function.
|
| Returns
| -------
| Series or DataFrame (if level specified)
|
| median(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs)
| Return the median of the values over the requested axis.
|
| Parameters
| ----------
| axis : {index (0), columns (1)}
| Axis for the function to be applied on.
| skipna : bool, default True
| Exclude NA/null values when computing the result.
| level : int or level name, default None
| If the axis is a MultiIndex (hierarchical), count along a
| particular level, collapsing into a Series.
| numeric_only : bool, default None
| Include only float, int, boolean columns. If None, will attempt to use
| everything, then use only numeric data. Not implemented for Series.
| **kwargs
| Additional keyword arguments to be passed to the function.
|
| Returns
| -------
| Series or DataFrame (if level specified)
|
| melt(self, id_vars=None, value_vars=None, var_name=None, value_name='value', col_level: 'Level | None' = None, ignore_index: 'bool' = True) -> 'DataFrame'
| Unpivot a DataFrame from wide to long format, optionally leaving identifiers set.
|
| This function is useful to massage a DataFrame into a format where one
| or more columns are identifier variables (`id_vars`), while all other
| columns, considered measured variables (`value_vars`), are "unpivoted" to
| the row axis, leaving just two non-identifier columns, 'variable' and
| 'value'.
|
| Parameters
| ----------
| id_vars : tuple, list, or ndarray, optional
| Column(s) to use as identifier variables.
| value_vars : tuple, list, or ndarray, optional
| Column(s) to unpivot. If not specified, uses all columns that
| are not set as `id_vars`.
| var_name : scalar
| Name to use for the 'variable' column. If None it uses
| ``frame.columns.name`` or 'variable'.
| value_name : scalar, default 'value'
| Name to use for the 'value' column.
| col_level : int or str, optional
| If columns are a MultiIndex then use this level to melt.
| ignore_index : bool, default True
| If True, original index is ignored. If False, the original index is retained.
| Index labels will be repeated as necessary.
|
| .. versionadded:: 1.1.0
|
| Returns
| -------
| DataFrame
| Unpivoted DataFrame.
|
| See Also
| --------
| melt : Identical method.
| pivot_table : Create a spreadsheet-style pivot table as a DataFrame.
| DataFrame.pivot : Return reshaped DataFrame organized
| by given index / column values.
| DataFrame.explode : Explode a DataFrame from list-like
| columns to long format.
|
| Examples
| --------
| >>> df = pd.DataFrame({'A': {0: 'a', 1: 'b', 2: 'c'},
| ... 'B': {0: 1, 1: 3, 2: 5},
| ... 'C': {0: 2, 1: 4, 2: 6}})
| >>> df
| A B C
| 0 a 1 2
| 1 b 3 4
| 2 c 5 6
|
| >>> df.melt(id_vars=['A'], value_vars=['B'])
| A variable value
| 0 a B 1
| 1 b B 3
| 2 c B 5
|
| >>> df.melt(id_vars=['A'], value_vars=['B', 'C'])
| A variable value
| 0 a B 1
| 1 b B 3
| 2 c B 5
| 3 a C 2
| 4 b C 4
| 5 c C 6
|
| The names of 'variable' and 'value' columns can be customized:
|
| >>> df.melt(id_vars=['A'], value_vars=['B'],
| ... var_name='myVarname', value_name='myValname')
| A myVarname myValname
| 0 a B 1
| 1 b B 3
| 2 c B 5
|
| Original index values can be kept around:
|
| >>> df.melt(id_vars=['A'], value_vars=['B', 'C'], ignore_index=False)
| A variable value
| 0 a B 1
| 1 b B 3
| 2 c B 5
| 0 a C 2
| 1 b C 4
| 2 c C 6
|
| If you have multi-index columns:
|
| >>> df.columns = [list('ABC'), list('DEF')]
| >>> df
| A B C
| D E F
| 0 a 1 2
| 1 b 3 4
| 2 c 5 6
|
| >>> df.melt(col_level=0, id_vars=['A'], value_vars=['B'])
| A variable value
| 0 a B 1
| 1 b B 3
| 2 c B 5
|
| >>> df.melt(id_vars=[('A', 'D')], value_vars=[('B', 'E')])
| (A, D) variable_0 variable_1 value
| 0 a B E 1
| 1 b B E 3
| 2 c B E 5
|
| memory_usage(self, index: 'bool' = True, deep: 'bool' = False) -> 'Series'
| Return the memory usage of each column in bytes.
|
| The memory usage can optionally include the contribution of
| the index and elements of `object` dtype.
|
| This value is displayed in `DataFrame.info` by default. This can be
| suppressed by setting ``pandas.options.display.memory_usage`` to False.
|
| Parameters
| ----------
| index : bool, default True
| Specifies whether to include the memory usage of the DataFrame's
| index in returned Series. If ``index=True``, the memory usage of
| the index is the first item in the output.
| deep : bool, default False
| If True, introspect the data deeply by interrogating
| `object` dtypes for system-level memory consumption, and include
| it in the returned values.
|
| Returns
| -------
| Series
| A Series whose index is the original column names and whose values
| is the memory usage of each column in bytes.
|
| See Also
| --------
| numpy.ndarray.nbytes : Total bytes consumed by the elements of an
| ndarray.
| Series.memory_usage : Bytes consumed by a Series.
| Categorical : Memory-efficient array for string values with
| many repeated values.
| DataFrame.info : Concise summary of a DataFrame.
|
| Examples
| --------
| >>> dtypes = ['int64', 'float64', 'complex128', 'object', 'bool']
| >>> data = dict([(t, np.ones(shape=5000, dtype=int).astype(t))
| ... for t in dtypes])
| >>> df = pd.DataFrame(data)
| >>> df.head()
| int64 float64 complex128 object bool
| 0 1 1.0 1.0+0.0j 1 True
| 1 1 1.0 1.0+0.0j 1 True
| 2 1 1.0 1.0+0.0j 1 True
| 3 1 1.0 1.0+0.0j 1 True
| 4 1 1.0 1.0+0.0j 1 True
|
| >>> df.memory_usage()
| Index 128
| int64 40000
| float64 40000
| complex128 80000
| object 40000
| bool 5000
| dtype: int64
|
| >>> df.memory_usage(index=False)
| int64 40000
| float64 40000
| complex128 80000
| object 40000
| bool 5000
| dtype: int64
|
| The memory footprint of `object` dtype columns is ignored by default:
|
| >>> df.memory_usage(deep=True)
| Index 128
| int64 40000
| float64 40000
| complex128 80000
| object 180000
| bool 5000
| dtype: int64
|
| Use a Categorical for efficient storage of an object-dtype column with
| many repeated values.
|
| >>> df['object'].astype('category').memory_usage(deep=True)
| 5244
|
| merge(self, right: 'FrameOrSeriesUnion', how: 'str' = 'inner', on: 'IndexLabel | None' = None, left_on: 'IndexLabel | None' = None, right_on: 'IndexLabel | None' = None, left_index: 'bool' = False, right_index: 'bool' = False, sort: 'bool' = False, suffixes: 'Suffixes' = ('_x', '_y'), copy: 'bool' = True, indicator: 'bool' = False, validate: 'str | None' = None) -> 'DataFrame'
| Merge DataFrame or named Series objects with a database-style join.
|
| A named Series object is treated as a DataFrame with a single named column.
|
| The join is done on columns or indexes. If joining columns on
| columns, the DataFrame indexes *will be ignored*. Otherwise if joining indexes
| on indexes or indexes on a column or columns, the index will be passed on.
| When performing a cross merge, no column specifications to merge on are
| allowed.
|
| Parameters
| ----------
| right : DataFrame or named Series
| Object to merge with.
| how : {'left', 'right', 'outer', 'inner', 'cross'}, default 'inner'
| Type of merge to be performed.
|
| * left: use only keys from left frame, similar to a SQL left outer join;
| preserve key order.
| * right: use only keys from right frame, similar to a SQL right outer join;
| preserve key order.
| * outer: use union of keys from both frames, similar to a SQL full outer
| join; sort keys lexicographically.
| * inner: use intersection of keys from both frames, similar to a SQL inner
| join; preserve the order of the left keys.
| * cross: creates the cartesian product from both frames, preserves the order
| of the left keys.
|
| .. versionadded:: 1.2.0
|
| on : label or list
| Column or index level names to join on. These must be found in both
| DataFrames. If `on` is None and not merging on indexes then this defaults
| to the intersection of the columns in both DataFrames.
| left_on : label or list, or array-like
| Column or index level names to join on in the left DataFrame. Can also
| be an array or list of arrays of the length of the left DataFrame.
| These arrays are treated as if they are columns.
| right_on : label or list, or array-like
| Column or index level names to join on in the right DataFrame. Can also
| be an array or list of arrays of the length of the right DataFrame.
| These arrays are treated as if they are columns.
| left_index : bool, default False
| Use the index from the left DataFrame as the join key(s). If it is a
| MultiIndex, the number of keys in the other DataFrame (either the index
| or a number of columns) must match the number of levels.
| right_index : bool, default False
| Use the index from the right DataFrame as the join key. Same caveats as
| left_index.
| sort : bool, default False
| Sort the join keys lexicographically in the result DataFrame. If False,
| the order of the join keys depends on the join type (how keyword).
| suffixes : list-like, default is ("_x", "_y")
| A length-2 sequence where each element is optionally a string
| indicating the suffix to add to overlapping column names in
| `left` and `right` respectively. Pass a value of `None` instead
| of a string to indicate that the column name from `left` or
| `right` should be left as-is, with no suffix. At least one of the
| values must not be None.
| copy : bool, default True
| If False, avoid copy if possible.
| indicator : bool or str, default False
| If True, adds a column to the output DataFrame called "_merge" with
| information on the source of each row. The column can be given a different
| name by providing a string argument. The column will have a Categorical
| type with the value of "left_only" for observations whose merge key only
| appears in the left DataFrame, "right_only" for observations
| whose merge key only appears in the right DataFrame, and "both"
| if the observation's merge key is found in both DataFrames.
|
| validate : str, optional
| If specified, checks if merge is of specified type.
|
| * "one_to_one" or "1:1": check if merge keys are unique in both
| left and right datasets.
| * "one_to_many" or "1:m": check if merge keys are unique in left
| dataset.
| * "many_to_one" or "m:1": check if merge keys are unique in right
| dataset.
| * "many_to_many" or "m:m": allowed, but does not result in checks.
|
| Returns
| -------
| DataFrame
| A DataFrame of the two merged objects.
|
| See Also
| --------
| merge_ordered : Merge with optional filling/interpolation.
| merge_asof : Merge on nearest keys.
| DataFrame.join : Similar method using indices.
|
| Notes
| -----
| Support for specifying index levels as the `on`, `left_on`, and
| `right_on` parameters was added in version 0.23.0
| Support for merging named Series objects was added in version 0.24.0
|
| Examples
| --------
| >>> df1 = pd.DataFrame({'lkey': ['foo', 'bar', 'baz', 'foo'],
| ... 'value': [1, 2, 3, 5]})
| >>> df2 = pd.DataFrame({'rkey': ['foo', 'bar', 'baz', 'foo'],
| ... 'value': [5, 6, 7, 8]})
| >>> df1
| lkey value
| 0 foo 1
| 1 bar 2
| 2 baz 3
| 3 foo 5
| >>> df2
| rkey value
| 0 foo 5
| 1 bar 6
| 2 baz 7
| 3 foo 8
|
| Merge df1 and df2 on the lkey and rkey columns. The value columns have
| the default suffixes, _x and _y, appended.
|
| >>> df1.merge(df2, left_on='lkey', right_on='rkey')
| lkey value_x rkey value_y
| 0 foo 1 foo 5
| 1 foo 1 foo 8
| 2 foo 5 foo 5
| 3 foo 5 foo 8
| 4 bar 2 bar 6
| 5 baz 3 baz 7
|
| Merge DataFrames df1 and df2 with specified left and right suffixes
| appended to any overlapping columns.
|
| >>> df1.merge(df2, left_on='lkey', right_on='rkey',
| ... suffixes=('_left', '_right'))
| lkey value_left rkey value_right
| 0 foo 1 foo 5
| 1 foo 1 foo 8
| 2 foo 5 foo 5
| 3 foo 5 foo 8
| 4 bar 2 bar 6
| 5 baz 3 baz 7
|
| Merge DataFrames df1 and df2, but raise an exception if the DataFrames have
| any overlapping columns.
|
| >>> df1.merge(df2, left_on='lkey', right_on='rkey', suffixes=(False, False))
| Traceback (most recent call last):
| ...
| ValueError: columns overlap but no suffix specified:
| Index(['value'], dtype='object')
|
| >>> df1 = pd.DataFrame({'a': ['foo', 'bar'], 'b': [1, 2]})
| >>> df2 = pd.DataFrame({'a': ['foo', 'baz'], 'c': [3, 4]})
| >>> df1
| a b
| 0 foo 1
| 1 bar 2
| >>> df2
| a c
| 0 foo 3
| 1 baz 4
|
| >>> df1.merge(df2, how='inner', on='a')
| a b c
| 0 foo 1 3
|
| >>> df1.merge(df2, how='left', on='a')
| a b c
| 0 foo 1 3.0
| 1 bar 2 NaN
|
| >>> df1 = pd.DataFrame({'left': ['foo', 'bar']})
| >>> df2 = pd.DataFrame({'right': [7, 8]})
| >>> df1
| left
| 0 foo
| 1 bar
| >>> df2
| right
| 0 7
| 1 8
|
| >>> df1.merge(df2, how='cross')
| left right
| 0 foo 7
| 1 foo 8
| 2 bar 7
| 3 bar 8
|
| min(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs)
| Return the minimum of the values over the requested axis.
|
| If you want the *index* of the minimum, use ``idxmin``. This is the equivalent of the ``numpy.ndarray`` method ``argmin``.
|
| Parameters
| ----------
| axis : {index (0), columns (1)}
| Axis for the function to be applied on.
| skipna : bool, default True
| Exclude NA/null values when computing the result.
| level : int or level name, default None
| If the axis is a MultiIndex (hierarchical), count along a
| particular level, collapsing into a Series.
| numeric_only : bool, default None
| Include only float, int, boolean columns. If None, will attempt to use
| everything, then use only numeric data. Not implemented for Series.
| **kwargs
| Additional keyword arguments to be passed to the function.
|
| Returns
| -------
| Series or DataFrame (if level specified)
|
| See Also
| --------
| Series.sum : Return the sum.
| Series.min : Return the minimum.
| Series.max : Return the maximum.
| Series.idxmin : Return the index of the minimum.
| Series.idxmax : Return the index of the maximum.
| DataFrame.sum : Return the sum over the requested axis.
| DataFrame.min : Return the minimum over the requested axis.
| DataFrame.max : Return the maximum over the requested axis.
| DataFrame.idxmin : Return the index of the minimum over the requested axis.
| DataFrame.idxmax : Return the index of the maximum over the requested axis.
|
| Examples
| --------
| >>> idx = pd.MultiIndex.from_arrays([
| ... ['warm', 'warm', 'cold', 'cold'],
| ... ['dog', 'falcon', 'fish', 'spider']],
| ... names=['blooded', 'animal'])
| >>> s = pd.Series([4, 2, 0, 8], name='legs', index=idx)
| >>> s
| blooded animal
| warm dog 4
| falcon 2
| cold fish 0
| spider 8
| Name: legs, dtype: int64
|
| >>> s.min()
| 0
|
| mod(self, other, axis='columns', level=None, fill_value=None)
| Get Modulo of dataframe and other, element-wise (binary operator `mod`).
|
| Equivalent to ``dataframe % other``, but with support to substitute a fill_value
| for missing data in one of the inputs. With reverse version, `rmod`.
|
| Among flexible wrappers (`add`, `sub`, `mul`, `div`, `mod`, `pow`) to
| arithmetic operators: `+`, `-`, `*`, `/`, `//`, `%`, `**`.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns'). For Series input, axis to match Series index on.
| level : int or label
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| fill_value : float or None, default None
| Fill existing missing (NaN) values, and any new element needed for
| successful DataFrame alignment, with this value before computation.
| If data in both corresponding DataFrame locations is missing
| the result will be missing.
|
| Returns
| -------
| DataFrame
| Result of the arithmetic operation.
|
| See Also
| --------
| DataFrame.add : Add DataFrames.
| DataFrame.sub : Subtract DataFrames.
| DataFrame.mul : Multiply DataFrames.
| DataFrame.div : Divide DataFrames (float division).
| DataFrame.truediv : Divide DataFrames (float division).
| DataFrame.floordiv : Divide DataFrames (integer division).
| DataFrame.mod : Calculate modulo (remainder after division).
| DataFrame.pow : Calculate exponential power.
|
| Notes
| -----
| Mismatched indices will be unioned together.
|
| Examples
| --------
| >>> df = pd.DataFrame({'angles': [0, 3, 4],
| ... 'degrees': [360, 180, 360]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> df
| angles degrees
| circle 0 360
| triangle 3 180
| rectangle 4 360
|
| Add a scalar with operator version which return the same
| results.
|
| >>> df + 1
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| >>> df.add(1)
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| Divide by constant with reverse version.
|
| >>> df.div(10)
| angles degrees
| circle 0.0 36.0
| triangle 0.3 18.0
| rectangle 0.4 36.0
|
| >>> df.rdiv(10)
| angles degrees
| circle inf 0.027778
| triangle 3.333333 0.055556
| rectangle 2.500000 0.027778
|
| Subtract a list and Series by axis with operator version.
|
| >>> df - [1, 2]
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub([1, 2], axis='columns')
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub(pd.Series([1, 1, 1], index=['circle', 'triangle', 'rectangle']),
| ... axis='index')
| angles degrees
| circle -1 359
| triangle 2 179
| rectangle 3 359
|
| Multiply a DataFrame of different shape with operator version.
|
| >>> other = pd.DataFrame({'angles': [0, 3, 4]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> other
| angles
| circle 0
| triangle 3
| rectangle 4
|
| >>> df * other
| angles degrees
| circle 0 NaN
| triangle 9 NaN
| rectangle 16 NaN
|
| >>> df.mul(other, fill_value=0)
| angles degrees
| circle 0 0.0
| triangle 9 0.0
| rectangle 16 0.0
|
| Divide by a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'angles': [0, 3, 4, 4, 5, 6],
| ... 'degrees': [360, 180, 360, 360, 540, 720]},
| ... index=[['A', 'A', 'A', 'B', 'B', 'B'],
| ... ['circle', 'triangle', 'rectangle',
| ... 'square', 'pentagon', 'hexagon']])
| >>> df_multindex
| angles degrees
| A circle 0 360
| triangle 3 180
| rectangle 4 360
| B square 4 360
| pentagon 5 540
| hexagon 6 720
|
| >>> df.div(df_multindex, level=1, fill_value=0)
| angles degrees
| A circle NaN 1.0
| triangle 1.0 1.0
| rectangle 1.0 1.0
| B square 0.0 0.0
| pentagon 0.0 0.0
| hexagon 0.0 0.0
|
| mode(self, axis: 'Axis' = 0, numeric_only: 'bool' = False, dropna: 'bool' = True) -> 'DataFrame'
| Get the mode(s) of each element along the selected axis.
|
| The mode of a set of values is the value that appears most often.
| It can be multiple values.
|
| Parameters
| ----------
| axis : {0 or 'index', 1 or 'columns'}, default 0
| The axis to iterate over while searching for the mode:
|
| * 0 or 'index' : get mode of each column
| * 1 or 'columns' : get mode of each row.
|
| numeric_only : bool, default False
| If True, only apply to numeric columns.
| dropna : bool, default True
| Don't consider counts of NaN/NaT.
|
| Returns
| -------
| DataFrame
| The modes of each column or row.
|
| See Also
| --------
| Series.mode : Return the highest frequency value in a Series.
| Series.value_counts : Return the counts of values in a Series.
|
| Examples
| --------
| >>> df = pd.DataFrame([('bird', 2, 2),
| ... ('mammal', 4, np.nan),
| ... ('arthropod', 8, 0),
| ... ('bird', 2, np.nan)],
| ... index=('falcon', 'horse', 'spider', 'ostrich'),
| ... columns=('species', 'legs', 'wings'))
| >>> df
| species legs wings
| falcon bird 2 2.0
| horse mammal 4 NaN
| spider arthropod 8 0.0
| ostrich bird 2 NaN
|
| By default, missing values are not considered, and the mode of wings
| are both 0 and 2. Because the resulting DataFrame has two rows,
| the second row of ``species`` and ``legs`` contains ``NaN``.
|
| >>> df.mode()
| species legs wings
| 0 bird 2.0 0.0
| 1 NaN NaN 2.0
|
| Setting ``dropna=False`` ``NaN`` values are considered and they can be
| the mode (like for wings).
|
| >>> df.mode(dropna=False)
| species legs wings
| 0 bird 2 NaN
|
| Setting ``numeric_only=True``, only the mode of numeric columns is
| computed, and columns of other types are ignored.
|
| >>> df.mode(numeric_only=True)
| legs wings
| 0 2.0 0.0
| 1 NaN 2.0
|
| To compute the mode over columns and not rows, use the axis parameter:
|
| >>> df.mode(axis='columns', numeric_only=True)
| 0 1
| falcon 2.0 NaN
| horse 4.0 NaN
| spider 0.0 8.0
| ostrich 2.0 NaN
|
| mul(self, other, axis='columns', level=None, fill_value=None)
| Get Multiplication of dataframe and other, element-wise (binary operator `mul`).
|
| Equivalent to ``dataframe * other``, but with support to substitute a fill_value
| for missing data in one of the inputs. With reverse version, `rmul`.
|
| Among flexible wrappers (`add`, `sub`, `mul`, `div`, `mod`, `pow`) to
| arithmetic operators: `+`, `-`, `*`, `/`, `//`, `%`, `**`.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns'). For Series input, axis to match Series index on.
| level : int or label
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| fill_value : float or None, default None
| Fill existing missing (NaN) values, and any new element needed for
| successful DataFrame alignment, with this value before computation.
| If data in both corresponding DataFrame locations is missing
| the result will be missing.
|
| Returns
| -------
| DataFrame
| Result of the arithmetic operation.
|
| See Also
| --------
| DataFrame.add : Add DataFrames.
| DataFrame.sub : Subtract DataFrames.
| DataFrame.mul : Multiply DataFrames.
| DataFrame.div : Divide DataFrames (float division).
| DataFrame.truediv : Divide DataFrames (float division).
| DataFrame.floordiv : Divide DataFrames (integer division).
| DataFrame.mod : Calculate modulo (remainder after division).
| DataFrame.pow : Calculate exponential power.
|
| Notes
| -----
| Mismatched indices will be unioned together.
|
| Examples
| --------
| >>> df = pd.DataFrame({'angles': [0, 3, 4],
| ... 'degrees': [360, 180, 360]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> df
| angles degrees
| circle 0 360
| triangle 3 180
| rectangle 4 360
|
| Add a scalar with operator version which return the same
| results.
|
| >>> df + 1
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| >>> df.add(1)
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| Divide by constant with reverse version.
|
| >>> df.div(10)
| angles degrees
| circle 0.0 36.0
| triangle 0.3 18.0
| rectangle 0.4 36.0
|
| >>> df.rdiv(10)
| angles degrees
| circle inf 0.027778
| triangle 3.333333 0.055556
| rectangle 2.500000 0.027778
|
| Subtract a list and Series by axis with operator version.
|
| >>> df - [1, 2]
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub([1, 2], axis='columns')
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub(pd.Series([1, 1, 1], index=['circle', 'triangle', 'rectangle']),
| ... axis='index')
| angles degrees
| circle -1 359
| triangle 2 179
| rectangle 3 359
|
| Multiply a DataFrame of different shape with operator version.
|
| >>> other = pd.DataFrame({'angles': [0, 3, 4]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> other
| angles
| circle 0
| triangle 3
| rectangle 4
|
| >>> df * other
| angles degrees
| circle 0 NaN
| triangle 9 NaN
| rectangle 16 NaN
|
| >>> df.mul(other, fill_value=0)
| angles degrees
| circle 0 0.0
| triangle 9 0.0
| rectangle 16 0.0
|
| Divide by a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'angles': [0, 3, 4, 4, 5, 6],
| ... 'degrees': [360, 180, 360, 360, 540, 720]},
| ... index=[['A', 'A', 'A', 'B', 'B', 'B'],
| ... ['circle', 'triangle', 'rectangle',
| ... 'square', 'pentagon', 'hexagon']])
| >>> df_multindex
| angles degrees
| A circle 0 360
| triangle 3 180
| rectangle 4 360
| B square 4 360
| pentagon 5 540
| hexagon 6 720
|
| >>> df.div(df_multindex, level=1, fill_value=0)
| angles degrees
| A circle NaN 1.0
| triangle 1.0 1.0
| rectangle 1.0 1.0
| B square 0.0 0.0
| pentagon 0.0 0.0
| hexagon 0.0 0.0
|
| multiply = mul(self, other, axis='columns', level=None, fill_value=None)
|
| ne(self, other, axis='columns', level=None)
| Get Not equal to of dataframe and other, element-wise (binary operator `ne`).
|
| Among flexible wrappers (`eq`, `ne`, `le`, `lt`, `ge`, `gt`) to comparison
| operators.
|
| Equivalent to `==`, `!=`, `<=`, `<`, `>=`, `>` with support to choose axis
| (rows or columns) and level for comparison.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}, default 'columns'
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns').
| level : int or label
| Broadcast across a level, matching Index values on the passed
| MultiIndex level.
|
| Returns
| -------
| DataFrame of bool
| Result of the comparison.
|
| See Also
| --------
| DataFrame.eq : Compare DataFrames for equality elementwise.
| DataFrame.ne : Compare DataFrames for inequality elementwise.
| DataFrame.le : Compare DataFrames for less than inequality
| or equality elementwise.
| DataFrame.lt : Compare DataFrames for strictly less than
| inequality elementwise.
| DataFrame.ge : Compare DataFrames for greater than inequality
| or equality elementwise.
| DataFrame.gt : Compare DataFrames for strictly greater than
| inequality elementwise.
|
| Notes
| -----
| Mismatched indices will be unioned together.
| `NaN` values are considered different (i.e. `NaN` != `NaN`).
|
| Examples
| --------
| >>> df = pd.DataFrame({'cost': [250, 150, 100],
| ... 'revenue': [100, 250, 300]},
| ... index=['A', 'B', 'C'])
| >>> df
| cost revenue
| A 250 100
| B 150 250
| C 100 300
|
| Comparison with a scalar, using either the operator or method:
|
| >>> df == 100
| cost revenue
| A False True
| B False False
| C True False
|
| >>> df.eq(100)
| cost revenue
| A False True
| B False False
| C True False
|
| When `other` is a :class:`Series`, the columns of a DataFrame are aligned
| with the index of `other` and broadcast:
|
| >>> df != pd.Series([100, 250], index=["cost", "revenue"])
| cost revenue
| A True True
| B True False
| C False True
|
| Use the method to control the broadcast axis:
|
| >>> df.ne(pd.Series([100, 300], index=["A", "D"]), axis='index')
| cost revenue
| A True False
| B True True
| C True True
| D True True
|
| When comparing to an arbitrary sequence, the number of columns must
| match the number elements in `other`:
|
| >>> df == [250, 100]
| cost revenue
| A True True
| B False False
| C False False
|
| Use the method to control the axis:
|
| >>> df.eq([250, 250, 100], axis='index')
| cost revenue
| A True False
| B False True
| C True False
|
| Compare to a DataFrame of different shape.
|
| >>> other = pd.DataFrame({'revenue': [300, 250, 100, 150]},
| ... index=['A', 'B', 'C', 'D'])
| >>> other
| revenue
| A 300
| B 250
| C 100
| D 150
|
| >>> df.gt(other)
| cost revenue
| A False False
| B False False
| C False True
| D False False
|
| Compare to a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'cost': [250, 150, 100, 150, 300, 220],
| ... 'revenue': [100, 250, 300, 200, 175, 225]},
| ... index=[['Q1', 'Q1', 'Q1', 'Q2', 'Q2', 'Q2'],
| ... ['A', 'B', 'C', 'A', 'B', 'C']])
| >>> df_multindex
| cost revenue
| Q1 A 250 100
| B 150 250
| C 100 300
| Q2 A 150 200
| B 300 175
| C 220 225
|
| >>> df.le(df_multindex, level=1)
| cost revenue
| Q1 A True True
| B True True
| C True True
| Q2 A False True
| B True False
| C True False
|
| nlargest(self, n, columns, keep: 'str' = 'first') -> 'DataFrame'
| Return the first `n` rows ordered by `columns` in descending order.
|
| Return the first `n` rows with the largest values in `columns`, in
| descending order. The columns that are not specified are returned as
| well, but not used for ordering.
|
| This method is equivalent to
| ``df.sort_values(columns, ascending=False).head(n)``, but more
| performant.
|
| Parameters
| ----------
| n : int
| Number of rows to return.
| columns : label or list of labels
| Column label(s) to order by.
| keep : {'first', 'last', 'all'}, default 'first'
| Where there are duplicate values:
|
| - `first` : prioritize the first occurrence(s)
| - `last` : prioritize the last occurrence(s)
| - ``all`` : do not drop any duplicates, even it means
| selecting more than `n` items.
|
| Returns
| -------
| DataFrame
| The first `n` rows ordered by the given columns in descending
| order.
|
| See Also
| --------
| DataFrame.nsmallest : Return the first `n` rows ordered by `columns` in
| ascending order.
| DataFrame.sort_values : Sort DataFrame by the values.
| DataFrame.head : Return the first `n` rows without re-ordering.
|
| Notes
| -----
| This function cannot be used with all column types. For example, when
| specifying columns with `object` or `category` dtypes, ``TypeError`` is
| raised.
|
| Examples
| --------
| >>> df = pd.DataFrame({'population': [59000000, 65000000, 434000,
| ... 434000, 434000, 337000, 11300,
| ... 11300, 11300],
| ... 'GDP': [1937894, 2583560 , 12011, 4520, 12128,
| ... 17036, 182, 38, 311],
| ... 'alpha-2': ["IT", "FR", "MT", "MV", "BN",
| ... "IS", "NR", "TV", "AI"]},
| ... index=["Italy", "France", "Malta",
| ... "Maldives", "Brunei", "Iceland",
| ... "Nauru", "Tuvalu", "Anguilla"])
| >>> df
| population GDP alpha-2
| Italy 59000000 1937894 IT
| France 65000000 2583560 FR
| Malta 434000 12011 MT
| Maldives 434000 4520 MV
| Brunei 434000 12128 BN
| Iceland 337000 17036 IS
| Nauru 11300 182 NR
| Tuvalu 11300 38 TV
| Anguilla 11300 311 AI
|
| In the following example, we will use ``nlargest`` to select the three
| rows having the largest values in column "population".
|
| >>> df.nlargest(3, 'population')
| population GDP alpha-2
| France 65000000 2583560 FR
| Italy 59000000 1937894 IT
| Malta 434000 12011 MT
|
| When using ``keep='last'``, ties are resolved in reverse order:
|
| >>> df.nlargest(3, 'population', keep='last')
| population GDP alpha-2
| France 65000000 2583560 FR
| Italy 59000000 1937894 IT
| Brunei 434000 12128 BN
|
| When using ``keep='all'``, all duplicate items are maintained:
|
| >>> df.nlargest(3, 'population', keep='all')
| population GDP alpha-2
| France 65000000 2583560 FR
| Italy 59000000 1937894 IT
| Malta 434000 12011 MT
| Maldives 434000 4520 MV
| Brunei 434000 12128 BN
|
| To order by the largest values in column "population" and then "GDP",
| we can specify multiple columns like in the next example.
|
| >>> df.nlargest(3, ['population', 'GDP'])
| population GDP alpha-2
| France 65000000 2583560 FR
| Italy 59000000 1937894 IT
| Brunei 434000 12128 BN
|
| notna(self) -> 'DataFrame'
| Detect existing (non-missing) values.
|
| Return a boolean same-sized object indicating if the values are not NA.
| Non-missing values get mapped to True. Characters such as empty
| strings ``''`` or :attr:`numpy.inf` are not considered NA values
| (unless you set ``pandas.options.mode.use_inf_as_na = True``).
| NA values, such as None or :attr:`numpy.NaN`, get mapped to False
| values.
|
| Returns
| -------
| DataFrame
| Mask of bool values for each element in DataFrame that
| indicates whether an element is not an NA value.
|
| See Also
| --------
| DataFrame.notnull : Alias of notna.
| DataFrame.isna : Boolean inverse of notna.
| DataFrame.dropna : Omit axes labels with missing values.
| notna : Top-level notna.
|
| Examples
| --------
| Show which entries in a DataFrame are not NA.
|
| >>> df = pd.DataFrame(dict(age=[5, 6, np.NaN],
| ... born=[pd.NaT, pd.Timestamp('1939-05-27'),
| ... pd.Timestamp('1940-04-25')],
| ... name=['Alfred', 'Batman', ''],
| ... toy=[None, 'Batmobile', 'Joker']))
| >>> df
| age born name toy
| 0 5.0 NaT Alfred None
| 1 6.0 1939-05-27 Batman Batmobile
| 2 NaN 1940-04-25 Joker
|
| >>> df.notna()
| age born name toy
| 0 True False True False
| 1 True True True True
| 2 False True True True
|
| Show which entries in a Series are not NA.
|
| >>> ser = pd.Series([5, 6, np.NaN])
| >>> ser
| 0 5.0
| 1 6.0
| 2 NaN
| dtype: float64
|
| >>> ser.notna()
| 0 True
| 1 True
| 2 False
| dtype: bool
|
| notnull(self) -> 'DataFrame'
| Detect existing (non-missing) values.
|
| Return a boolean same-sized object indicating if the values are not NA.
| Non-missing values get mapped to True. Characters such as empty
| strings ``''`` or :attr:`numpy.inf` are not considered NA values
| (unless you set ``pandas.options.mode.use_inf_as_na = True``).
| NA values, such as None or :attr:`numpy.NaN`, get mapped to False
| values.
|
| Returns
| -------
| DataFrame
| Mask of bool values for each element in DataFrame that
| indicates whether an element is not an NA value.
|
| See Also
| --------
| DataFrame.notnull : Alias of notna.
| DataFrame.isna : Boolean inverse of notna.
| DataFrame.dropna : Omit axes labels with missing values.
| notna : Top-level notna.
|
| Examples
| --------
| Show which entries in a DataFrame are not NA.
|
| >>> df = pd.DataFrame(dict(age=[5, 6, np.NaN],
| ... born=[pd.NaT, pd.Timestamp('1939-05-27'),
| ... pd.Timestamp('1940-04-25')],
| ... name=['Alfred', 'Batman', ''],
| ... toy=[None, 'Batmobile', 'Joker']))
| >>> df
| age born name toy
| 0 5.0 NaT Alfred None
| 1 6.0 1939-05-27 Batman Batmobile
| 2 NaN 1940-04-25 Joker
|
| >>> df.notna()
| age born name toy
| 0 True False True False
| 1 True True True True
| 2 False True True True
|
| Show which entries in a Series are not NA.
|
| >>> ser = pd.Series([5, 6, np.NaN])
| >>> ser
| 0 5.0
| 1 6.0
| 2 NaN
| dtype: float64
|
| >>> ser.notna()
| 0 True
| 1 True
| 2 False
| dtype: bool
|
| nsmallest(self, n, columns, keep: 'str' = 'first') -> 'DataFrame'
| Return the first `n` rows ordered by `columns` in ascending order.
|
| Return the first `n` rows with the smallest values in `columns`, in
| ascending order. The columns that are not specified are returned as
| well, but not used for ordering.
|
| This method is equivalent to
| ``df.sort_values(columns, ascending=True).head(n)``, but more
| performant.
|
| Parameters
| ----------
| n : int
| Number of items to retrieve.
| columns : list or str
| Column name or names to order by.
| keep : {'first', 'last', 'all'}, default 'first'
| Where there are duplicate values:
|
| - ``first`` : take the first occurrence.
| - ``last`` : take the last occurrence.
| - ``all`` : do not drop any duplicates, even it means
| selecting more than `n` items.
|
| Returns
| -------
| DataFrame
|
| See Also
| --------
| DataFrame.nlargest : Return the first `n` rows ordered by `columns` in
| descending order.
| DataFrame.sort_values : Sort DataFrame by the values.
| DataFrame.head : Return the first `n` rows without re-ordering.
|
| Examples
| --------
| >>> df = pd.DataFrame({'population': [59000000, 65000000, 434000,
| ... 434000, 434000, 337000, 337000,
| ... 11300, 11300],
| ... 'GDP': [1937894, 2583560 , 12011, 4520, 12128,
| ... 17036, 182, 38, 311],
| ... 'alpha-2': ["IT", "FR", "MT", "MV", "BN",
| ... "IS", "NR", "TV", "AI"]},
| ... index=["Italy", "France", "Malta",
| ... "Maldives", "Brunei", "Iceland",
| ... "Nauru", "Tuvalu", "Anguilla"])
| >>> df
| population GDP alpha-2
| Italy 59000000 1937894 IT
| France 65000000 2583560 FR
| Malta 434000 12011 MT
| Maldives 434000 4520 MV
| Brunei 434000 12128 BN
| Iceland 337000 17036 IS
| Nauru 337000 182 NR
| Tuvalu 11300 38 TV
| Anguilla 11300 311 AI
|
| In the following example, we will use ``nsmallest`` to select the
| three rows having the smallest values in column "population".
|
| >>> df.nsmallest(3, 'population')
| population GDP alpha-2
| Tuvalu 11300 38 TV
| Anguilla 11300 311 AI
| Iceland 337000 17036 IS
|
| When using ``keep='last'``, ties are resolved in reverse order:
|
| >>> df.nsmallest(3, 'population', keep='last')
| population GDP alpha-2
| Anguilla 11300 311 AI
| Tuvalu 11300 38 TV
| Nauru 337000 182 NR
|
| When using ``keep='all'``, all duplicate items are maintained:
|
| >>> df.nsmallest(3, 'population', keep='all')
| population GDP alpha-2
| Tuvalu 11300 38 TV
| Anguilla 11300 311 AI
| Iceland 337000 17036 IS
| Nauru 337000 182 NR
|
| To order by the smallest values in column "population" and then "GDP", we can
| specify multiple columns like in the next example.
|
| >>> df.nsmallest(3, ['population', 'GDP'])
| population GDP alpha-2
| Tuvalu 11300 38 TV
| Anguilla 11300 311 AI
| Nauru 337000 182 NR
|
| nunique(self, axis: 'Axis' = 0, dropna: 'bool' = True) -> 'Series'
| Count number of distinct elements in specified axis.
|
| Return Series with number of distinct elements. Can ignore NaN
| values.
|
| Parameters
| ----------
| axis : {0 or 'index', 1 or 'columns'}, default 0
| The axis to use. 0 or 'index' for row-wise, 1 or 'columns' for
| column-wise.
| dropna : bool, default True
| Don't include NaN in the counts.
|
| Returns
| -------
| Series
|
| See Also
| --------
| Series.nunique: Method nunique for Series.
| DataFrame.count: Count non-NA cells for each column or row.
|
| Examples
| --------
| >>> df = pd.DataFrame({'A': [4, 5, 6], 'B': [4, 1, 1]})
| >>> df.nunique()
| A 3
| B 2
| dtype: int64
|
| >>> df.nunique(axis=1)
| 0 1
| 1 2
| 2 2
| dtype: int64
|
| pivot(self, index=None, columns=None, values=None) -> 'DataFrame'
| Return reshaped DataFrame organized by given index / column values.
|
| Reshape data (produce a "pivot" table) based on column values. Uses
| unique values from specified `index` / `columns` to form axes of the
| resulting DataFrame. This function does not support data
| aggregation, multiple values will result in a MultiIndex in the
| columns. See the :ref:`User Guide <reshaping>` for more on reshaping.
|
| Parameters
| ----------
| index : str or object or a list of str, optional
| Column to use to make new frame's index. If None, uses
| existing index.
|
| .. versionchanged:: 1.1.0
| Also accept list of index names.
|
| columns : str or object or a list of str
| Column to use to make new frame's columns.
|
| .. versionchanged:: 1.1.0
| Also accept list of columns names.
|
| values : str, object or a list of the previous, optional
| Column(s) to use for populating new frame's values. If not
| specified, all remaining columns will be used and the result will
| have hierarchically indexed columns.
|
| Returns
| -------
| DataFrame
| Returns reshaped DataFrame.
|
| Raises
| ------
| ValueError:
| When there are any `index`, `columns` combinations with multiple
| values. `DataFrame.pivot_table` when you need to aggregate.
|
| See Also
| --------
| DataFrame.pivot_table : Generalization of pivot that can handle
| duplicate values for one index/column pair.
| DataFrame.unstack : Pivot based on the index values instead of a
| column.
| wide_to_long : Wide panel to long format. Less flexible but more
| user-friendly than melt.
|
| Notes
| -----
| For finer-tuned control, see hierarchical indexing documentation along
| with the related stack/unstack methods.
|
| Examples
| --------
| >>> df = pd.DataFrame({'foo': ['one', 'one', 'one', 'two', 'two',
| ... 'two'],
| ... 'bar': ['A', 'B', 'C', 'A', 'B', 'C'],
| ... 'baz': [1, 2, 3, 4, 5, 6],
| ... 'zoo': ['x', 'y', 'z', 'q', 'w', 't']})
| >>> df
| foo bar baz zoo
| 0 one A 1 x
| 1 one B 2 y
| 2 one C 3 z
| 3 two A 4 q
| 4 two B 5 w
| 5 two C 6 t
|
| >>> df.pivot(index='foo', columns='bar', values='baz')
| bar A B C
| foo
| one 1 2 3
| two 4 5 6
|
| >>> df.pivot(index='foo', columns='bar')['baz']
| bar A B C
| foo
| one 1 2 3
| two 4 5 6
|
| >>> df.pivot(index='foo', columns='bar', values=['baz', 'zoo'])
| baz zoo
| bar A B C A B C
| foo
| one 1 2 3 x y z
| two 4 5 6 q w t
|
| You could also assign a list of column names or a list of index names.
|
| >>> df = pd.DataFrame({
| ... "lev1": [1, 1, 1, 2, 2, 2],
| ... "lev2": [1, 1, 2, 1, 1, 2],
| ... "lev3": [1, 2, 1, 2, 1, 2],
| ... "lev4": [1, 2, 3, 4, 5, 6],
| ... "values": [0, 1, 2, 3, 4, 5]})
| >>> df
| lev1 lev2 lev3 lev4 values
| 0 1 1 1 1 0
| 1 1 1 2 2 1
| 2 1 2 1 3 2
| 3 2 1 2 4 3
| 4 2 1 1 5 4
| 5 2 2 2 6 5
|
| >>> df.pivot(index="lev1", columns=["lev2", "lev3"],values="values")
| lev2 1 2
| lev3 1 2 1 2
| lev1
| 1 0.0 1.0 2.0 NaN
| 2 4.0 3.0 NaN 5.0
|
| >>> df.pivot(index=["lev1", "lev2"], columns=["lev3"],values="values")
| lev3 1 2
| lev1 lev2
| 1 1 0.0 1.0
| 2 2.0 NaN
| 2 1 4.0 3.0
| 2 NaN 5.0
|
| A ValueError is raised if there are any duplicates.
|
| >>> df = pd.DataFrame({"foo": ['one', 'one', 'two', 'two'],
| ... "bar": ['A', 'A', 'B', 'C'],
| ... "baz": [1, 2, 3, 4]})
| >>> df
| foo bar baz
| 0 one A 1
| 1 one A 2
| 2 two B 3
| 3 two C 4
|
| Notice that the first two rows are the same for our `index`
| and `columns` arguments.
|
| >>> df.pivot(index='foo', columns='bar', values='baz')
| Traceback (most recent call last):
| ...
| ValueError: Index contains duplicate entries, cannot reshape
|
| pivot_table(self, values=None, index=None, columns=None, aggfunc='mean', fill_value=None, margins=False, dropna=True, margins_name='All', observed=False, sort=True) -> 'DataFrame'
| Create a spreadsheet-style pivot table as a DataFrame.
|
| The levels in the pivot table will be stored in MultiIndex objects
| (hierarchical indexes) on the index and columns of the result DataFrame.
|
| Parameters
| ----------
| values : column to aggregate, optional
| index : column, Grouper, array, or list of the previous
| If an array is passed, it must be the same length as the data. The
| list can contain any of the other types (except list).
| Keys to group by on the pivot table index. If an array is passed,
| it is being used as the same manner as column values.
| columns : column, Grouper, array, or list of the previous
| If an array is passed, it must be the same length as the data. The
| list can contain any of the other types (except list).
| Keys to group by on the pivot table column. If an array is passed,
| it is being used as the same manner as column values.
| aggfunc : function, list of functions, dict, default numpy.mean
| If list of functions passed, the resulting pivot table will have
| hierarchical columns whose top level are the function names
| (inferred from the function objects themselves)
| If dict is passed, the key is column to aggregate and value
| is function or list of functions.
| fill_value : scalar, default None
| Value to replace missing values with (in the resulting pivot table,
| after aggregation).
| margins : bool, default False
| Add all row / columns (e.g. for subtotal / grand totals).
| dropna : bool, default True
| Do not include columns whose entries are all NaN.
| margins_name : str, default 'All'
| Name of the row / column that will contain the totals
| when margins is True.
| observed : bool, default False
| This only applies if any of the groupers are Categoricals.
| If True: only show observed values for categorical groupers.
| If False: show all values for categorical groupers.
|
| .. versionchanged:: 0.25.0
|
| sort : bool, default True
| Specifies if the result should be sorted.
|
| .. versionadded:: 1.3.0
|
| Returns
| -------
| DataFrame
| An Excel style pivot table.
|
| See Also
| --------
| DataFrame.pivot : Pivot without aggregation that can handle
| non-numeric data.
| DataFrame.melt: Unpivot a DataFrame from wide to long format,
| optionally leaving identifiers set.
| wide_to_long : Wide panel to long format. Less flexible but more
| user-friendly than melt.
|
| Examples
| --------
| >>> df = pd.DataFrame({"A": ["foo", "foo", "foo", "foo", "foo",
| ... "bar", "bar", "bar", "bar"],
| ... "B": ["one", "one", "one", "two", "two",
| ... "one", "one", "two", "two"],
| ... "C": ["small", "large", "large", "small",
| ... "small", "large", "small", "small",
| ... "large"],
| ... "D": [1, 2, 2, 3, 3, 4, 5, 6, 7],
| ... "E": [2, 4, 5, 5, 6, 6, 8, 9, 9]})
| >>> df
| A B C D E
| 0 foo one small 1 2
| 1 foo one large 2 4
| 2 foo one large 2 5
| 3 foo two small 3 5
| 4 foo two small 3 6
| 5 bar one large 4 6
| 6 bar one small 5 8
| 7 bar two small 6 9
| 8 bar two large 7 9
|
| This first example aggregates values by taking the sum.
|
| >>> table = pd.pivot_table(df, values='D', index=['A', 'B'],
| ... columns=['C'], aggfunc=np.sum)
| >>> table
| C large small
| A B
| bar one 4.0 5.0
| two 7.0 6.0
| foo one 4.0 1.0
| two NaN 6.0
|
| We can also fill missing values using the `fill_value` parameter.
|
| >>> table = pd.pivot_table(df, values='D', index=['A', 'B'],
| ... columns=['C'], aggfunc=np.sum, fill_value=0)
| >>> table
| C large small
| A B
| bar one 4 5
| two 7 6
| foo one 4 1
| two 0 6
|
| The next example aggregates by taking the mean across multiple columns.
|
| >>> table = pd.pivot_table(df, values=['D', 'E'], index=['A', 'C'],
| ... aggfunc={'D': np.mean,
| ... 'E': np.mean})
| >>> table
| D E
| A C
| bar large 5.500000 7.500000
| small 5.500000 8.500000
| foo large 2.000000 4.500000
| small 2.333333 4.333333
|
| We can also calculate multiple types of aggregations for any given
| value column.
|
| >>> table = pd.pivot_table(df, values=['D', 'E'], index=['A', 'C'],
| ... aggfunc={'D': np.mean,
| ... 'E': [min, max, np.mean]})
| >>> table
| D E
| mean max mean min
| A C
| bar large 5.500000 9.0 7.500000 6.0
| small 5.500000 9.0 8.500000 8.0
| foo large 2.000000 5.0 4.500000 4.0
| small 2.333333 6.0 4.333333 2.0
|
| pop(self, item: 'Hashable') -> 'Series'
| Return item and drop from frame. Raise KeyError if not found.
|
| Parameters
| ----------
| item : label
| Label of column to be popped.
|
| Returns
| -------
| Series
|
| Examples
| --------
| >>> df = pd.DataFrame([('falcon', 'bird', 389.0),
| ... ('parrot', 'bird', 24.0),
| ... ('lion', 'mammal', 80.5),
| ... ('monkey', 'mammal', np.nan)],
| ... columns=('name', 'class', 'max_speed'))
| >>> df
| name class max_speed
| 0 falcon bird 389.0
| 1 parrot bird 24.0
| 2 lion mammal 80.5
| 3 monkey mammal NaN
|
| >>> df.pop('class')
| 0 bird
| 1 bird
| 2 mammal
| 3 mammal
| Name: class, dtype: object
|
| >>> df
| name max_speed
| 0 falcon 389.0
| 1 parrot 24.0
| 2 lion 80.5
| 3 monkey NaN
|
| pow(self, other, axis='columns', level=None, fill_value=None)
| Get Exponential power of dataframe and other, element-wise (binary operator `pow`).
|
| Equivalent to ``dataframe ** other``, but with support to substitute a fill_value
| for missing data in one of the inputs. With reverse version, `rpow`.
|
| Among flexible wrappers (`add`, `sub`, `mul`, `div`, `mod`, `pow`) to
| arithmetic operators: `+`, `-`, `*`, `/`, `//`, `%`, `**`.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns'). For Series input, axis to match Series index on.
| level : int or label
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| fill_value : float or None, default None
| Fill existing missing (NaN) values, and any new element needed for
| successful DataFrame alignment, with this value before computation.
| If data in both corresponding DataFrame locations is missing
| the result will be missing.
|
| Returns
| -------
| DataFrame
| Result of the arithmetic operation.
|
| See Also
| --------
| DataFrame.add : Add DataFrames.
| DataFrame.sub : Subtract DataFrames.
| DataFrame.mul : Multiply DataFrames.
| DataFrame.div : Divide DataFrames (float division).
| DataFrame.truediv : Divide DataFrames (float division).
| DataFrame.floordiv : Divide DataFrames (integer division).
| DataFrame.mod : Calculate modulo (remainder after division).
| DataFrame.pow : Calculate exponential power.
|
| Notes
| -----
| Mismatched indices will be unioned together.
|
| Examples
| --------
| >>> df = pd.DataFrame({'angles': [0, 3, 4],
| ... 'degrees': [360, 180, 360]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> df
| angles degrees
| circle 0 360
| triangle 3 180
| rectangle 4 360
|
| Add a scalar with operator version which return the same
| results.
|
| >>> df + 1
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| >>> df.add(1)
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| Divide by constant with reverse version.
|
| >>> df.div(10)
| angles degrees
| circle 0.0 36.0
| triangle 0.3 18.0
| rectangle 0.4 36.0
|
| >>> df.rdiv(10)
| angles degrees
| circle inf 0.027778
| triangle 3.333333 0.055556
| rectangle 2.500000 0.027778
|
| Subtract a list and Series by axis with operator version.
|
| >>> df - [1, 2]
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub([1, 2], axis='columns')
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub(pd.Series([1, 1, 1], index=['circle', 'triangle', 'rectangle']),
| ... axis='index')
| angles degrees
| circle -1 359
| triangle 2 179
| rectangle 3 359
|
| Multiply a DataFrame of different shape with operator version.
|
| >>> other = pd.DataFrame({'angles': [0, 3, 4]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> other
| angles
| circle 0
| triangle 3
| rectangle 4
|
| >>> df * other
| angles degrees
| circle 0 NaN
| triangle 9 NaN
| rectangle 16 NaN
|
| >>> df.mul(other, fill_value=0)
| angles degrees
| circle 0 0.0
| triangle 9 0.0
| rectangle 16 0.0
|
| Divide by a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'angles': [0, 3, 4, 4, 5, 6],
| ... 'degrees': [360, 180, 360, 360, 540, 720]},
| ... index=[['A', 'A', 'A', 'B', 'B', 'B'],
| ... ['circle', 'triangle', 'rectangle',
| ... 'square', 'pentagon', 'hexagon']])
| >>> df_multindex
| angles degrees
| A circle 0 360
| triangle 3 180
| rectangle 4 360
| B square 4 360
| pentagon 5 540
| hexagon 6 720
|
| >>> df.div(df_multindex, level=1, fill_value=0)
| angles degrees
| A circle NaN 1.0
| triangle 1.0 1.0
| rectangle 1.0 1.0
| B square 0.0 0.0
| pentagon 0.0 0.0
| hexagon 0.0 0.0
|
| prod(self, axis=None, skipna=None, level=None, numeric_only=None, min_count=0, **kwargs)
| Return the product of the values over the requested axis.
|
| Parameters
| ----------
| axis : {index (0), columns (1)}
| Axis for the function to be applied on.
| skipna : bool, default True
| Exclude NA/null values when computing the result.
| level : int or level name, default None
| If the axis is a MultiIndex (hierarchical), count along a
| particular level, collapsing into a Series.
| numeric_only : bool, default None
| Include only float, int, boolean columns. If None, will attempt to use
| everything, then use only numeric data. Not implemented for Series.
| min_count : int, default 0
| The required number of valid values to perform the operation. If fewer than
| ``min_count`` non-NA values are present the result will be NA.
| **kwargs
| Additional keyword arguments to be passed to the function.
|
| Returns
| -------
| Series or DataFrame (if level specified)
|
| See Also
| --------
| Series.sum : Return the sum.
| Series.min : Return the minimum.
| Series.max : Return the maximum.
| Series.idxmin : Return the index of the minimum.
| Series.idxmax : Return the index of the maximum.
| DataFrame.sum : Return the sum over the requested axis.
| DataFrame.min : Return the minimum over the requested axis.
| DataFrame.max : Return the maximum over the requested axis.
| DataFrame.idxmin : Return the index of the minimum over the requested axis.
| DataFrame.idxmax : Return the index of the maximum over the requested axis.
|
| Examples
| --------
| By default, the product of an empty or all-NA Series is ``1``
|
| >>> pd.Series([], dtype="float64").prod()
| 1.0
|
| This can be controlled with the ``min_count`` parameter
|
| >>> pd.Series([], dtype="float64").prod(min_count=1)
| nan
|
| Thanks to the ``skipna`` parameter, ``min_count`` handles all-NA and
| empty series identically.
|
| >>> pd.Series([np.nan]).prod()
| 1.0
|
| >>> pd.Series([np.nan]).prod(min_count=1)
| nan
|
| product = prod(self, axis=None, skipna=None, level=None, numeric_only=None, min_count=0, **kwargs)
|
| quantile(self, q=0.5, axis: 'Axis' = 0, numeric_only: 'bool' = True, interpolation: 'str' = 'linear')
| Return values at the given quantile over requested axis.
|
| Parameters
| ----------
| q : float or array-like, default 0.5 (50% quantile)
| Value between 0 <= q <= 1, the quantile(s) to compute.
| axis : {0, 1, 'index', 'columns'}, default 0
| Equals 0 or 'index' for row-wise, 1 or 'columns' for column-wise.
| numeric_only : bool, default True
| If False, the quantile of datetime and timedelta data will be
| computed as well.
| interpolation : {'linear', 'lower', 'higher', 'midpoint', 'nearest'}
| This optional parameter specifies the interpolation method to use,
| when the desired quantile lies between two data points `i` and `j`:
|
| * linear: `i + (j - i) * fraction`, where `fraction` is the
| fractional part of the index surrounded by `i` and `j`.
| * lower: `i`.
| * higher: `j`.
| * nearest: `i` or `j` whichever is nearest.
| * midpoint: (`i` + `j`) / 2.
|
| Returns
| -------
| Series or DataFrame
|
| If ``q`` is an array, a DataFrame will be returned where the
| index is ``q``, the columns are the columns of self, and the
| values are the quantiles.
| If ``q`` is a float, a Series will be returned where the
| index is the columns of self and the values are the quantiles.
|
| See Also
| --------
| core.window.Rolling.quantile: Rolling quantile.
| numpy.percentile: Numpy function to compute the percentile.
|
| Examples
| --------
| >>> df = pd.DataFrame(np.array([[1, 1], [2, 10], [3, 100], [4, 100]]),
| ... columns=['a', 'b'])
| >>> df.quantile(.1)
| a 1.3
| b 3.7
| Name: 0.1, dtype: float64
| >>> df.quantile([.1, .5])
| a b
| 0.1 1.3 3.7
| 0.5 2.5 55.0
|
| Specifying `numeric_only=False` will also compute the quantile of
| datetime and timedelta data.
|
| >>> df = pd.DataFrame({'A': [1, 2],
| ... 'B': [pd.Timestamp('2010'),
| ... pd.Timestamp('2011')],
| ... 'C': [pd.Timedelta('1 days'),
| ... pd.Timedelta('2 days')]})
| >>> df.quantile(0.5, numeric_only=False)
| A 1.5
| B 2010-07-02 12:00:00
| C 1 days 12:00:00
| Name: 0.5, dtype: object
|
| query(self, expr: 'str', inplace: 'bool' = False, **kwargs)
| Query the columns of a DataFrame with a boolean expression.
|
| Parameters
| ----------
| expr : str
| The query string to evaluate.
|
| You can refer to variables
| in the environment by prefixing them with an '@' character like
| ``@a + b``.
|
| You can refer to column names that are not valid Python variable names
| by surrounding them in backticks. Thus, column names containing spaces
| or punctuations (besides underscores) or starting with digits must be
| surrounded by backticks. (For example, a column named "Area (cm^2)" would
| be referenced as ```Area (cm^2)```). Column names which are Python keywords
| (like "list", "for", "import", etc) cannot be used.
|
| For example, if one of your columns is called ``a a`` and you want
| to sum it with ``b``, your query should be ```a a` + b``.
|
| .. versionadded:: 0.25.0
| Backtick quoting introduced.
|
| .. versionadded:: 1.0.0
| Expanding functionality of backtick quoting for more than only spaces.
|
| inplace : bool
| Whether the query should modify the data in place or return
| a modified copy.
| **kwargs
| See the documentation for :func:`eval` for complete details
| on the keyword arguments accepted by :meth:`DataFrame.query`.
|
| Returns
| -------
| DataFrame or None
| DataFrame resulting from the provided query expression or
| None if ``inplace=True``.
|
| See Also
| --------
| eval : Evaluate a string describing operations on
| DataFrame columns.
| DataFrame.eval : Evaluate a string describing operations on
| DataFrame columns.
|
| Notes
| -----
| The result of the evaluation of this expression is first passed to
| :attr:`DataFrame.loc` and if that fails because of a
| multidimensional key (e.g., a DataFrame) then the result will be passed
| to :meth:`DataFrame.__getitem__`.
|
| This method uses the top-level :func:`eval` function to
| evaluate the passed query.
|
| The :meth:`~pandas.DataFrame.query` method uses a slightly
| modified Python syntax by default. For example, the ``&`` and ``|``
| (bitwise) operators have the precedence of their boolean cousins,
| :keyword:`and` and :keyword:`or`. This *is* syntactically valid Python,
| however the semantics are different.
|
| You can change the semantics of the expression by passing the keyword
| argument ``parser='python'``. This enforces the same semantics as
| evaluation in Python space. Likewise, you can pass ``engine='python'``
| to evaluate an expression using Python itself as a backend. This is not
| recommended as it is inefficient compared to using ``numexpr`` as the
| engine.
|
| The :attr:`DataFrame.index` and
| :attr:`DataFrame.columns` attributes of the
| :class:`~pandas.DataFrame` instance are placed in the query namespace
| by default, which allows you to treat both the index and columns of the
| frame as a column in the frame.
| The identifier ``index`` is used for the frame index; you can also
| use the name of the index to identify it in a query. Please note that
| Python keywords may not be used as identifiers.
|
| For further details and examples see the ``query`` documentation in
| :ref:`indexing <indexing.query>`.
|
| *Backtick quoted variables*
|
| Backtick quoted variables are parsed as literal Python code and
| are converted internally to a Python valid identifier.
| This can lead to the following problems.
|
| During parsing a number of disallowed characters inside the backtick
| quoted string are replaced by strings that are allowed as a Python identifier.
| These characters include all operators in Python, the space character, the
| question mark, the exclamation mark, the dollar sign, and the euro sign.
| For other characters that fall outside the ASCII range (U+0001..U+007F)
| and those that are not further specified in PEP 3131,
| the query parser will raise an error.
| This excludes whitespace different than the space character,
| but also the hashtag (as it is used for comments) and the backtick
| itself (backtick can also not be escaped).
|
| In a special case, quotes that make a pair around a backtick can
| confuse the parser.
| For example, ```it's` > `that's``` will raise an error,
| as it forms a quoted string (``'s > `that'``) with a backtick inside.
|
| See also the Python documentation about lexical analysis
| (https://docs.python.org/3/reference/lexical_analysis.html)
| in combination with the source code in :mod:`pandas.core.computation.parsing`.
|
| Examples
| --------
| >>> df = pd.DataFrame({'A': range(1, 6),
| ... 'B': range(10, 0, -2),
| ... 'C C': range(10, 5, -1)})
| >>> df
| A B C C
| 0 1 10 10
| 1 2 8 9
| 2 3 6 8
| 3 4 4 7
| 4 5 2 6
| >>> df.query('A > B')
| A B C C
| 4 5 2 6
|
| The previous expression is equivalent to
|
| >>> df[df.A > df.B]
| A B C C
| 4 5 2 6
|
| For columns with spaces in their name, you can use backtick quoting.
|
| >>> df.query('B == `C C`')
| A B C C
| 0 1 10 10
|
| The previous expression is equivalent to
|
| >>> df[df.B == df['C C']]
| A B C C
| 0 1 10 10
|
| radd(self, other, axis='columns', level=None, fill_value=None)
| Get Addition of dataframe and other, element-wise (binary operator `radd`).
|
| Equivalent to ``other + dataframe``, but with support to substitute a fill_value
| for missing data in one of the inputs. With reverse version, `add`.
|
| Among flexible wrappers (`add`, `sub`, `mul`, `div`, `mod`, `pow`) to
| arithmetic operators: `+`, `-`, `*`, `/`, `//`, `%`, `**`.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns'). For Series input, axis to match Series index on.
| level : int or label
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| fill_value : float or None, default None
| Fill existing missing (NaN) values, and any new element needed for
| successful DataFrame alignment, with this value before computation.
| If data in both corresponding DataFrame locations is missing
| the result will be missing.
|
| Returns
| -------
| DataFrame
| Result of the arithmetic operation.
|
| See Also
| --------
| DataFrame.add : Add DataFrames.
| DataFrame.sub : Subtract DataFrames.
| DataFrame.mul : Multiply DataFrames.
| DataFrame.div : Divide DataFrames (float division).
| DataFrame.truediv : Divide DataFrames (float division).
| DataFrame.floordiv : Divide DataFrames (integer division).
| DataFrame.mod : Calculate modulo (remainder after division).
| DataFrame.pow : Calculate exponential power.
|
| Notes
| -----
| Mismatched indices will be unioned together.
|
| Examples
| --------
| >>> df = pd.DataFrame({'angles': [0, 3, 4],
| ... 'degrees': [360, 180, 360]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> df
| angles degrees
| circle 0 360
| triangle 3 180
| rectangle 4 360
|
| Add a scalar with operator version which return the same
| results.
|
| >>> df + 1
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| >>> df.add(1)
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| Divide by constant with reverse version.
|
| >>> df.div(10)
| angles degrees
| circle 0.0 36.0
| triangle 0.3 18.0
| rectangle 0.4 36.0
|
| >>> df.rdiv(10)
| angles degrees
| circle inf 0.027778
| triangle 3.333333 0.055556
| rectangle 2.500000 0.027778
|
| Subtract a list and Series by axis with operator version.
|
| >>> df - [1, 2]
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub([1, 2], axis='columns')
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub(pd.Series([1, 1, 1], index=['circle', 'triangle', 'rectangle']),
| ... axis='index')
| angles degrees
| circle -1 359
| triangle 2 179
| rectangle 3 359
|
| Multiply a DataFrame of different shape with operator version.
|
| >>> other = pd.DataFrame({'angles': [0, 3, 4]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> other
| angles
| circle 0
| triangle 3
| rectangle 4
|
| >>> df * other
| angles degrees
| circle 0 NaN
| triangle 9 NaN
| rectangle 16 NaN
|
| >>> df.mul(other, fill_value=0)
| angles degrees
| circle 0 0.0
| triangle 9 0.0
| rectangle 16 0.0
|
| Divide by a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'angles': [0, 3, 4, 4, 5, 6],
| ... 'degrees': [360, 180, 360, 360, 540, 720]},
| ... index=[['A', 'A', 'A', 'B', 'B', 'B'],
| ... ['circle', 'triangle', 'rectangle',
| ... 'square', 'pentagon', 'hexagon']])
| >>> df_multindex
| angles degrees
| A circle 0 360
| triangle 3 180
| rectangle 4 360
| B square 4 360
| pentagon 5 540
| hexagon 6 720
|
| >>> df.div(df_multindex, level=1, fill_value=0)
| angles degrees
| A circle NaN 1.0
| triangle 1.0 1.0
| rectangle 1.0 1.0
| B square 0.0 0.0
| pentagon 0.0 0.0
| hexagon 0.0 0.0
|
| rdiv = rtruediv(self, other, axis='columns', level=None, fill_value=None)
|
| reindex(self, labels=None, index=None, columns=None, axis=None, method=None, copy=True, level=None, fill_value=nan, limit=None, tolerance=None)
| Conform Series/DataFrame to new index with optional filling logic.
|
| Places NA/NaN in locations having no value in the previous index. A new object
| is produced unless the new index is equivalent to the current one and
| ``copy=False``.
|
| Parameters
| ----------
|
| keywords for axes : array-like, optional
| New labels / index to conform to, should be specified using
| keywords. Preferably an Index object to avoid duplicating data.
|
| method : {None, 'backfill'/'bfill', 'pad'/'ffill', 'nearest'}
| Method to use for filling holes in reindexed DataFrame.
| Please note: this is only applicable to DataFrames/Series with a
| monotonically increasing/decreasing index.
|
| * None (default): don't fill gaps
| * pad / ffill: Propagate last valid observation forward to next
| valid.
| * backfill / bfill: Use next valid observation to fill gap.
| * nearest: Use nearest valid observations to fill gap.
|
| copy : bool, default True
| Return a new object, even if the passed indexes are the same.
| level : int or name
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| fill_value : scalar, default np.NaN
| Value to use for missing values. Defaults to NaN, but can be any
| "compatible" value.
| limit : int, default None
| Maximum number of consecutive elements to forward or backward fill.
| tolerance : optional
| Maximum distance between original and new labels for inexact
| matches. The values of the index at the matching locations most
| satisfy the equation ``abs(index[indexer] - target) <= tolerance``.
|
| Tolerance may be a scalar value, which applies the same tolerance
| to all values, or list-like, which applies variable tolerance per
| element. List-like includes list, tuple, array, Series, and must be
| the same size as the index and its dtype must exactly match the
| index's type.
|
| Returns
| -------
| Series/DataFrame with changed index.
|
| See Also
| --------
| DataFrame.set_index : Set row labels.
| DataFrame.reset_index : Remove row labels or move them to new columns.
| DataFrame.reindex_like : Change to same indices as other DataFrame.
|
| Examples
| --------
| ``DataFrame.reindex`` supports two calling conventions
|
| * ``(index=index_labels, columns=column_labels, ...)``
| * ``(labels, axis={'index', 'columns'}, ...)``
|
| We *highly* recommend using keyword arguments to clarify your
| intent.
|
| Create a dataframe with some fictional data.
|
| >>> index = ['Firefox', 'Chrome', 'Safari', 'IE10', 'Konqueror']
| >>> df = pd.DataFrame({'http_status': [200, 200, 404, 404, 301],
| ... 'response_time': [0.04, 0.02, 0.07, 0.08, 1.0]},
| ... index=index)
| >>> df
| http_status response_time
| Firefox 200 0.04
| Chrome 200 0.02
| Safari 404 0.07
| IE10 404 0.08
| Konqueror 301 1.00
|
| Create a new index and reindex the dataframe. By default
| values in the new index that do not have corresponding
| records in the dataframe are assigned ``NaN``.
|
| >>> new_index = ['Safari', 'Iceweasel', 'Comodo Dragon', 'IE10',
| ... 'Chrome']
| >>> df.reindex(new_index)
| http_status response_time
| Safari 404.0 0.07
| Iceweasel NaN NaN
| Comodo Dragon NaN NaN
| IE10 404.0 0.08
| Chrome 200.0 0.02
|
| We can fill in the missing values by passing a value to
| the keyword ``fill_value``. Because the index is not monotonically
| increasing or decreasing, we cannot use arguments to the keyword
| ``method`` to fill the ``NaN`` values.
|
| >>> df.reindex(new_index, fill_value=0)
| http_status response_time
| Safari 404 0.07
| Iceweasel 0 0.00
| Comodo Dragon 0 0.00
| IE10 404 0.08
| Chrome 200 0.02
|
| >>> df.reindex(new_index, fill_value='missing')
| http_status response_time
| Safari 404 0.07
| Iceweasel missing missing
| Comodo Dragon missing missing
| IE10 404 0.08
| Chrome 200 0.02
|
| We can also reindex the columns.
|
| >>> df.reindex(columns=['http_status', 'user_agent'])
| http_status user_agent
| Firefox 200 NaN
| Chrome 200 NaN
| Safari 404 NaN
| IE10 404 NaN
| Konqueror 301 NaN
|
| Or we can use "axis-style" keyword arguments
|
| >>> df.reindex(['http_status', 'user_agent'], axis="columns")
| http_status user_agent
| Firefox 200 NaN
| Chrome 200 NaN
| Safari 404 NaN
| IE10 404 NaN
| Konqueror 301 NaN
|
| To further illustrate the filling functionality in
| ``reindex``, we will create a dataframe with a
| monotonically increasing index (for example, a sequence
| of dates).
|
| >>> date_index = pd.date_range('1/1/2010', periods=6, freq='D')
| >>> df2 = pd.DataFrame({"prices": [100, 101, np.nan, 100, 89, 88]},
| ... index=date_index)
| >>> df2
| prices
| 2010-01-01 100.0
| 2010-01-02 101.0
| 2010-01-03 NaN
| 2010-01-04 100.0
| 2010-01-05 89.0
| 2010-01-06 88.0
|
| Suppose we decide to expand the dataframe to cover a wider
| date range.
|
| >>> date_index2 = pd.date_range('12/29/2009', periods=10, freq='D')
| >>> df2.reindex(date_index2)
| prices
| 2009-12-29 NaN
| 2009-12-30 NaN
| 2009-12-31 NaN
| 2010-01-01 100.0
| 2010-01-02 101.0
| 2010-01-03 NaN
| 2010-01-04 100.0
| 2010-01-05 89.0
| 2010-01-06 88.0
| 2010-01-07 NaN
|
| The index entries that did not have a value in the original data frame
| (for example, '2009-12-29') are by default filled with ``NaN``.
| If desired, we can fill in the missing values using one of several
| options.
|
| For example, to back-propagate the last valid value to fill the ``NaN``
| values, pass ``bfill`` as an argument to the ``method`` keyword.
|
| >>> df2.reindex(date_index2, method='bfill')
| prices
| 2009-12-29 100.0
| 2009-12-30 100.0
| 2009-12-31 100.0
| 2010-01-01 100.0
| 2010-01-02 101.0
| 2010-01-03 NaN
| 2010-01-04 100.0
| 2010-01-05 89.0
| 2010-01-06 88.0
| 2010-01-07 NaN
|
| Please note that the ``NaN`` value present in the original dataframe
| (at index value 2010-01-03) will not be filled by any of the
| value propagation schemes. This is because filling while reindexing
| does not look at dataframe values, but only compares the original and
| desired indexes. If you do want to fill in the ``NaN`` values present
| in the original dataframe, use the ``fillna()`` method.
|
| See the :ref:`user guide <basics.reindexing>` for more.
|
| rename(self, mapper=None, index=None, columns=None, axis=None, copy=True, inplace=False, level=None, errors='ignore')
| Alter axes labels.
|
| Function / dict values must be unique (1-to-1). Labels not contained in
| a dict / Series will be left as-is. Extra labels listed don't throw an
| error.
|
| See the :ref:`user guide <basics.rename>` for more.
|
| Parameters
| ----------
| mapper : dict-like or function
| Dict-like or function transformations to apply to
| that axis' values. Use either ``mapper`` and ``axis`` to
| specify the axis to target with ``mapper``, or ``index`` and
| ``columns``.
| index : dict-like or function
| Alternative to specifying axis (``mapper, axis=0``
| is equivalent to ``index=mapper``).
| columns : dict-like or function
| Alternative to specifying axis (``mapper, axis=1``
| is equivalent to ``columns=mapper``).
| axis : {0 or 'index', 1 or 'columns'}, default 0
| Axis to target with ``mapper``. Can be either the axis name
| ('index', 'columns') or number (0, 1). The default is 'index'.
| copy : bool, default True
| Also copy underlying data.
| inplace : bool, default False
| Whether to return a new DataFrame. If True then value of copy is
| ignored.
| level : int or level name, default None
| In case of a MultiIndex, only rename labels in the specified
| level.
| errors : {'ignore', 'raise'}, default 'ignore'
| If 'raise', raise a `KeyError` when a dict-like `mapper`, `index`,
| or `columns` contains labels that are not present in the Index
| being transformed.
| If 'ignore', existing keys will be renamed and extra keys will be
| ignored.
|
| Returns
| -------
| DataFrame or None
| DataFrame with the renamed axis labels or None if ``inplace=True``.
|
| Raises
| ------
| KeyError
| If any of the labels is not found in the selected axis and
| "errors='raise'".
|
| See Also
| --------
| DataFrame.rename_axis : Set the name of the axis.
|
| Examples
| --------
| ``DataFrame.rename`` supports two calling conventions
|
| * ``(index=index_mapper, columns=columns_mapper, ...)``
| * ``(mapper, axis={'index', 'columns'}, ...)``
|
| We *highly* recommend using keyword arguments to clarify your
| intent.
|
| Rename columns using a mapping:
|
| >>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
| >>> df.rename(columns={"A": "a", "B": "c"})
| a c
| 0 1 4
| 1 2 5
| 2 3 6
|
| Rename index using a mapping:
|
| >>> df.rename(index={0: "x", 1: "y", 2: "z"})
| A B
| x 1 4
| y 2 5
| z 3 6
|
| Cast index labels to a different type:
|
| >>> df.index
| RangeIndex(start=0, stop=3, step=1)
| >>> df.rename(index=str).index
| Index(['0', '1', '2'], dtype='object')
|
| >>> df.rename(columns={"A": "a", "B": "b", "C": "c"}, errors="raise")
| Traceback (most recent call last):
| KeyError: ['C'] not found in axis
|
| Using axis-style parameters:
|
| >>> df.rename(str.lower, axis='columns')
| a b
| 0 1 4
| 1 2 5
| 2 3 6
|
| >>> df.rename({1: 2, 2: 4}, axis='index')
| A B
| 0 1 4
| 2 2 5
| 4 3 6
|
| reorder_levels(self, order: 'Sequence[Axis]', axis: 'Axis' = 0) -> 'DataFrame'
| Rearrange index levels using input order. May not drop or duplicate levels.
|
| Parameters
| ----------
| order : list of int or list of str
| List representing new level order. Reference level by number
| (position) or by key (label).
| axis : {0 or 'index', 1 or 'columns'}, default 0
| Where to reorder levels.
|
| Returns
| -------
| DataFrame
|
| replace(self, to_replace=None, value=None, inplace: 'bool' = False, limit=None, regex: 'bool' = False, method: 'str' = 'pad')
| Replace values given in `to_replace` with `value`.
|
| Values of the DataFrame are replaced with other values dynamically.
|
| This differs from updating with ``.loc`` or ``.iloc``, which require
| you to specify a location to update with some value.
|
| Parameters
| ----------
| to_replace : str, regex, list, dict, Series, int, float, or None
| How to find the values that will be replaced.
|
| * numeric, str or regex:
|
| - numeric: numeric values equal to `to_replace` will be
| replaced with `value`
| - str: string exactly matching `to_replace` will be replaced
| with `value`
| - regex: regexs matching `to_replace` will be replaced with
| `value`
|
| * list of str, regex, or numeric:
|
| - First, if `to_replace` and `value` are both lists, they
| **must** be the same length.
| - Second, if ``regex=True`` then all of the strings in **both**
| lists will be interpreted as regexs otherwise they will match
| directly. This doesn't matter much for `value` since there
| are only a few possible substitution regexes you can use.
| - str, regex and numeric rules apply as above.
|
| * dict:
|
| - Dicts can be used to specify different replacement values
| for different existing values. For example,
| ``{'a': 'b', 'y': 'z'}`` replaces the value 'a' with 'b' and
| 'y' with 'z'. To use a dict in this way the `value`
| parameter should be `None`.
| - For a DataFrame a dict can specify that different values
| should be replaced in different columns. For example,
| ``{'a': 1, 'b': 'z'}`` looks for the value 1 in column 'a'
| and the value 'z' in column 'b' and replaces these values
| with whatever is specified in `value`. The `value` parameter
| should not be ``None`` in this case. You can treat this as a
| special case of passing two lists except that you are
| specifying the column to search in.
| - For a DataFrame nested dictionaries, e.g.,
| ``{'a': {'b': np.nan}}``, are read as follows: look in column
| 'a' for the value 'b' and replace it with NaN. The `value`
| parameter should be ``None`` to use a nested dict in this
| way. You can nest regular expressions as well. Note that
| column names (the top-level dictionary keys in a nested
| dictionary) **cannot** be regular expressions.
|
| * None:
|
| - This means that the `regex` argument must be a string,
| compiled regular expression, or list, dict, ndarray or
| Series of such elements. If `value` is also ``None`` then
| this **must** be a nested dictionary or Series.
|
| See the examples section for examples of each of these.
| value : scalar, dict, list, str, regex, default None
| Value to replace any values matching `to_replace` with.
| For a DataFrame a dict of values can be used to specify which
| value to use for each column (columns not in the dict will not be
| filled). Regular expressions, strings and lists or dicts of such
| objects are also allowed.
|
| inplace : bool, default False
| If True, performs operation inplace and returns None.
| limit : int, default None
| Maximum size gap to forward or backward fill.
| regex : bool or same types as `to_replace`, default False
| Whether to interpret `to_replace` and/or `value` as regular
| expressions. If this is ``True`` then `to_replace` *must* be a
| string. Alternatively, this could be a regular expression or a
| list, dict, or array of regular expressions in which case
| `to_replace` must be ``None``.
| method : {'pad', 'ffill', 'bfill', `None`}
| The method to use when for replacement, when `to_replace` is a
| scalar, list or tuple and `value` is ``None``.
|
| .. versionchanged:: 0.23.0
| Added to DataFrame.
|
| Returns
| -------
| DataFrame
| Object after replacement.
|
| Raises
| ------
| AssertionError
| * If `regex` is not a ``bool`` and `to_replace` is not
| ``None``.
|
| TypeError
| * If `to_replace` is not a scalar, array-like, ``dict``, or ``None``
| * If `to_replace` is a ``dict`` and `value` is not a ``list``,
| ``dict``, ``ndarray``, or ``Series``
| * If `to_replace` is ``None`` and `regex` is not compilable
| into a regular expression or is a list, dict, ndarray, or
| Series.
| * When replacing multiple ``bool`` or ``datetime64`` objects and
| the arguments to `to_replace` does not match the type of the
| value being replaced
|
| ValueError
| * If a ``list`` or an ``ndarray`` is passed to `to_replace` and
| `value` but they are not the same length.
|
| See Also
| --------
| DataFrame.fillna : Fill NA values.
| DataFrame.where : Replace values based on boolean condition.
| Series.str.replace : Simple string replacement.
|
| Notes
| -----
| * Regex substitution is performed under the hood with ``re.sub``. The
| rules for substitution for ``re.sub`` are the same.
| * Regular expressions will only substitute on strings, meaning you
| cannot provide, for example, a regular expression matching floating
| point numbers and expect the columns in your frame that have a
| numeric dtype to be matched. However, if those floating point
| numbers *are* strings, then you can do this.
| * This method has *a lot* of options. You are encouraged to experiment
| and play with this method to gain intuition about how it works.
| * When dict is used as the `to_replace` value, it is like
| key(s) in the dict are the to_replace part and
| value(s) in the dict are the value parameter.
|
| Examples
| --------
|
| **Scalar `to_replace` and `value`**
|
| >>> s = pd.Series([0, 1, 2, 3, 4])
| >>> s.replace(0, 5)
| 0 5
| 1 1
| 2 2
| 3 3
| 4 4
| dtype: int64
|
| >>> df = pd.DataFrame({'A': [0, 1, 2, 3, 4],
| ... 'B': [5, 6, 7, 8, 9],
| ... 'C': ['a', 'b', 'c', 'd', 'e']})
| >>> df.replace(0, 5)
| A B C
| 0 5 5 a
| 1 1 6 b
| 2 2 7 c
| 3 3 8 d
| 4 4 9 e
|
| **List-like `to_replace`**
|
| >>> df.replace([0, 1, 2, 3], 4)
| A B C
| 0 4 5 a
| 1 4 6 b
| 2 4 7 c
| 3 4 8 d
| 4 4 9 e
|
| >>> df.replace([0, 1, 2, 3], [4, 3, 2, 1])
| A B C
| 0 4 5 a
| 1 3 6 b
| 2 2 7 c
| 3 1 8 d
| 4 4 9 e
|
| >>> s.replace([1, 2], method='bfill')
| 0 0
| 1 3
| 2 3
| 3 3
| 4 4
| dtype: int64
|
| **dict-like `to_replace`**
|
| >>> df.replace({0: 10, 1: 100})
| A B C
| 0 10 5 a
| 1 100 6 b
| 2 2 7 c
| 3 3 8 d
| 4 4 9 e
|
| >>> df.replace({'A': 0, 'B': 5}, 100)
| A B C
| 0 100 100 a
| 1 1 6 b
| 2 2 7 c
| 3 3 8 d
| 4 4 9 e
|
| >>> df.replace({'A': {0: 100, 4: 400}})
| A B C
| 0 100 5 a
| 1 1 6 b
| 2 2 7 c
| 3 3 8 d
| 4 400 9 e
|
| **Regular expression `to_replace`**
|
| >>> df = pd.DataFrame({'A': ['bat', 'foo', 'bait'],
| ... 'B': ['abc', 'bar', 'xyz']})
| >>> df.replace(to_replace=r'^ba.$', value='new', regex=True)
| A B
| 0 new abc
| 1 foo new
| 2 bait xyz
|
| >>> df.replace({'A': r'^ba.$'}, {'A': 'new'}, regex=True)
| A B
| 0 new abc
| 1 foo bar
| 2 bait xyz
|
| >>> df.replace(regex=r'^ba.$', value='new')
| A B
| 0 new abc
| 1 foo new
| 2 bait xyz
|
| >>> df.replace(regex={r'^ba.$': 'new', 'foo': 'xyz'})
| A B
| 0 new abc
| 1 xyz new
| 2 bait xyz
|
| >>> df.replace(regex=[r'^ba.$', 'foo'], value='new')
| A B
| 0 new abc
| 1 new new
| 2 bait xyz
|
| Compare the behavior of ``s.replace({'a': None})`` and
| ``s.replace('a', None)`` to understand the peculiarities
| of the `to_replace` parameter:
|
| >>> s = pd.Series([10, 'a', 'a', 'b', 'a'])
|
| When one uses a dict as the `to_replace` value, it is like the
| value(s) in the dict are equal to the `value` parameter.
| ``s.replace({'a': None})`` is equivalent to
| ``s.replace(to_replace={'a': None}, value=None, method=None)``:
|
| >>> s.replace({'a': None})
| 0 10
| 1 None
| 2 None
| 3 b
| 4 None
| dtype: object
|
| When ``value=None`` and `to_replace` is a scalar, list or
| tuple, `replace` uses the method parameter (default 'pad') to do the
| replacement. So this is why the 'a' values are being replaced by 10
| in rows 1 and 2 and 'b' in row 4 in this case.
| The command ``s.replace('a', None)`` is actually equivalent to
| ``s.replace(to_replace='a', value=None, method='pad')``:
|
| >>> s.replace('a', None)
| 0 10
| 1 10
| 2 10
| 3 b
| 4 b
| dtype: object
|
| resample(self, rule, axis=0, closed: 'str | None' = None, label: 'str | None' = None, convention: 'str' = 'start', kind: 'str | None' = None, loffset=None, base: 'int | None' = None, on=None, level=None, origin: 'str | TimestampConvertibleTypes' = 'start_day', offset: 'TimedeltaConvertibleTypes | None' = None) -> 'Resampler'
| Resample time-series data.
|
| Convenience method for frequency conversion and resampling of time series.
| The object must have a datetime-like index (`DatetimeIndex`, `PeriodIndex`,
| or `TimedeltaIndex`), or the caller must pass the label of a datetime-like
| series/index to the ``on``/``level`` keyword parameter.
|
| Parameters
| ----------
| rule : DateOffset, Timedelta or str
| The offset string or object representing target conversion.
| axis : {0 or 'index', 1 or 'columns'}, default 0
| Which axis to use for up- or down-sampling. For `Series` this
| will default to 0, i.e. along the rows. Must be
| `DatetimeIndex`, `TimedeltaIndex` or `PeriodIndex`.
| closed : {'right', 'left'}, default None
| Which side of bin interval is closed. The default is 'left'
| for all frequency offsets except for 'M', 'A', 'Q', 'BM',
| 'BA', 'BQ', and 'W' which all have a default of 'right'.
| label : {'right', 'left'}, default None
| Which bin edge label to label bucket with. The default is 'left'
| for all frequency offsets except for 'M', 'A', 'Q', 'BM',
| 'BA', 'BQ', and 'W' which all have a default of 'right'.
| convention : {'start', 'end', 's', 'e'}, default 'start'
| For `PeriodIndex` only, controls whether to use the start or
| end of `rule`.
| kind : {'timestamp', 'period'}, optional, default None
| Pass 'timestamp' to convert the resulting index to a
| `DateTimeIndex` or 'period' to convert it to a `PeriodIndex`.
| By default the input representation is retained.
| loffset : timedelta, default None
| Adjust the resampled time labels.
|
| .. deprecated:: 1.1.0
| You should add the loffset to the `df.index` after the resample.
| See below.
|
| base : int, default 0
| For frequencies that evenly subdivide 1 day, the "origin" of the
| aggregated intervals. For example, for '5min' frequency, base could
| range from 0 through 4. Defaults to 0.
|
| .. deprecated:: 1.1.0
| The new arguments that you should use are 'offset' or 'origin'.
|
| on : str, optional
| For a DataFrame, column to use instead of index for resampling.
| Column must be datetime-like.
| level : str or int, optional
| For a MultiIndex, level (name or number) to use for
| resampling. `level` must be datetime-like.
| origin : {'epoch', 'start', 'start_day', 'end', 'end_day'}, Timestamp
| or str, default 'start_day'
| The timestamp on which to adjust the grouping. The timezone of origin
| must match the timezone of the index.
| If a timestamp is not used, these values are also supported:
|
| - 'epoch': `origin` is 1970-01-01
| - 'start': `origin` is the first value of the timeseries
| - 'start_day': `origin` is the first day at midnight of the timeseries
|
| .. versionadded:: 1.1.0
|
| - 'end': `origin` is the last value of the timeseries
| - 'end_day': `origin` is the ceiling midnight of the last day
|
| .. versionadded:: 1.3.0
|
| offset : Timedelta or str, default is None
| An offset timedelta added to the origin.
|
| .. versionadded:: 1.1.0
|
| Returns
| -------
| pandas.core.Resampler
| :class:`~pandas.core.Resampler` object.
|
| See Also
| --------
| Series.resample : Resample a Series.
| DataFrame.resample : Resample a DataFrame.
| groupby : Group DataFrame by mapping, function, label, or list of labels.
| asfreq : Reindex a DataFrame with the given frequency without grouping.
|
| Notes
| -----
| See the `user guide
| <https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#resampling>`__
| for more.
|
| To learn more about the offset strings, please see `this link
| <https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#dateoffset-objects>`__.
|
| Examples
| --------
| Start by creating a series with 9 one minute timestamps.
|
| >>> index = pd.date_range('1/1/2000', periods=9, freq='T')
| >>> series = pd.Series(range(9), index=index)
| >>> series
| 2000-01-01 00:00:00 0
| 2000-01-01 00:01:00 1
| 2000-01-01 00:02:00 2
| 2000-01-01 00:03:00 3
| 2000-01-01 00:04:00 4
| 2000-01-01 00:05:00 5
| 2000-01-01 00:06:00 6
| 2000-01-01 00:07:00 7
| 2000-01-01 00:08:00 8
| Freq: T, dtype: int64
|
| Downsample the series into 3 minute bins and sum the values
| of the timestamps falling into a bin.
|
| >>> series.resample('3T').sum()
| 2000-01-01 00:00:00 3
| 2000-01-01 00:03:00 12
| 2000-01-01 00:06:00 21
| Freq: 3T, dtype: int64
|
| Downsample the series into 3 minute bins as above, but label each
| bin using the right edge instead of the left. Please note that the
| value in the bucket used as the label is not included in the bucket,
| which it labels. For example, in the original series the
| bucket ``2000-01-01 00:03:00`` contains the value 3, but the summed
| value in the resampled bucket with the label ``2000-01-01 00:03:00``
| does not include 3 (if it did, the summed value would be 6, not 3).
| To include this value close the right side of the bin interval as
| illustrated in the example below this one.
|
| >>> series.resample('3T', label='right').sum()
| 2000-01-01 00:03:00 3
| 2000-01-01 00:06:00 12
| 2000-01-01 00:09:00 21
| Freq: 3T, dtype: int64
|
| Downsample the series into 3 minute bins as above, but close the right
| side of the bin interval.
|
| >>> series.resample('3T', label='right', closed='right').sum()
| 2000-01-01 00:00:00 0
| 2000-01-01 00:03:00 6
| 2000-01-01 00:06:00 15
| 2000-01-01 00:09:00 15
| Freq: 3T, dtype: int64
|
| Upsample the series into 30 second bins.
|
| >>> series.resample('30S').asfreq()[0:5] # Select first 5 rows
| 2000-01-01 00:00:00 0.0
| 2000-01-01 00:00:30 NaN
| 2000-01-01 00:01:00 1.0
| 2000-01-01 00:01:30 NaN
| 2000-01-01 00:02:00 2.0
| Freq: 30S, dtype: float64
|
| Upsample the series into 30 second bins and fill the ``NaN``
| values using the ``pad`` method.
|
| >>> series.resample('30S').pad()[0:5]
| 2000-01-01 00:00:00 0
| 2000-01-01 00:00:30 0
| 2000-01-01 00:01:00 1
| 2000-01-01 00:01:30 1
| 2000-01-01 00:02:00 2
| Freq: 30S, dtype: int64
|
| Upsample the series into 30 second bins and fill the
| ``NaN`` values using the ``bfill`` method.
|
| >>> series.resample('30S').bfill()[0:5]
| 2000-01-01 00:00:00 0
| 2000-01-01 00:00:30 1
| 2000-01-01 00:01:00 1
| 2000-01-01 00:01:30 2
| 2000-01-01 00:02:00 2
| Freq: 30S, dtype: int64
|
| Pass a custom function via ``apply``
|
| >>> def custom_resampler(arraylike):
| ... return np.sum(arraylike) + 5
| ...
| >>> series.resample('3T').apply(custom_resampler)
| 2000-01-01 00:00:00 8
| 2000-01-01 00:03:00 17
| 2000-01-01 00:06:00 26
| Freq: 3T, dtype: int64
|
| For a Series with a PeriodIndex, the keyword `convention` can be
| used to control whether to use the start or end of `rule`.
|
| Resample a year by quarter using 'start' `convention`. Values are
| assigned to the first quarter of the period.
|
| >>> s = pd.Series([1, 2], index=pd.period_range('2012-01-01',
| ... freq='A',
| ... periods=2))
| >>> s
| 2012 1
| 2013 2
| Freq: A-DEC, dtype: int64
| >>> s.resample('Q', convention='start').asfreq()
| 2012Q1 1.0
| 2012Q2 NaN
| 2012Q3 NaN
| 2012Q4 NaN
| 2013Q1 2.0
| 2013Q2 NaN
| 2013Q3 NaN
| 2013Q4 NaN
| Freq: Q-DEC, dtype: float64
|
| Resample quarters by month using 'end' `convention`. Values are
| assigned to the last month of the period.
|
| >>> q = pd.Series([1, 2, 3, 4], index=pd.period_range('2018-01-01',
| ... freq='Q',
| ... periods=4))
| >>> q
| 2018Q1 1
| 2018Q2 2
| 2018Q3 3
| 2018Q4 4
| Freq: Q-DEC, dtype: int64
| >>> q.resample('M', convention='end').asfreq()
| 2018-03 1.0
| 2018-04 NaN
| 2018-05 NaN
| 2018-06 2.0
| 2018-07 NaN
| 2018-08 NaN
| 2018-09 3.0
| 2018-10 NaN
| 2018-11 NaN
| 2018-12 4.0
| Freq: M, dtype: float64
|
| For DataFrame objects, the keyword `on` can be used to specify the
| column instead of the index for resampling.
|
| >>> d = {'price': [10, 11, 9, 13, 14, 18, 17, 19],
| ... 'volume': [50, 60, 40, 100, 50, 100, 40, 50]}
| >>> df = pd.DataFrame(d)
| >>> df['week_starting'] = pd.date_range('01/01/2018',
| ... periods=8,
| ... freq='W')
| >>> df
| price volume week_starting
| 0 10 50 2018-01-07
| 1 11 60 2018-01-14
| 2 9 40 2018-01-21
| 3 13 100 2018-01-28
| 4 14 50 2018-02-04
| 5 18 100 2018-02-11
| 6 17 40 2018-02-18
| 7 19 50 2018-02-25
| >>> df.resample('M', on='week_starting').mean()
| price volume
| week_starting
| 2018-01-31 10.75 62.5
| 2018-02-28 17.00 60.0
|
| For a DataFrame with MultiIndex, the keyword `level` can be used to
| specify on which level the resampling needs to take place.
|
| >>> days = pd.date_range('1/1/2000', periods=4, freq='D')
| >>> d2 = {'price': [10, 11, 9, 13, 14, 18, 17, 19],
| ... 'volume': [50, 60, 40, 100, 50, 100, 40, 50]}
| >>> df2 = pd.DataFrame(
| ... d2,
| ... index=pd.MultiIndex.from_product(
| ... [days, ['morning', 'afternoon']]
| ... )
| ... )
| >>> df2
| price volume
| 2000-01-01 morning 10 50
| afternoon 11 60
| 2000-01-02 morning 9 40
| afternoon 13 100
| 2000-01-03 morning 14 50
| afternoon 18 100
| 2000-01-04 morning 17 40
| afternoon 19 50
| >>> df2.resample('D', level=0).sum()
| price volume
| 2000-01-01 21 110
| 2000-01-02 22 140
| 2000-01-03 32 150
| 2000-01-04 36 90
|
| If you want to adjust the start of the bins based on a fixed timestamp:
|
| >>> start, end = '2000-10-01 23:30:00', '2000-10-02 00:30:00'
| >>> rng = pd.date_range(start, end, freq='7min')
| >>> ts = pd.Series(np.arange(len(rng)) * 3, index=rng)
| >>> ts
| 2000-10-01 23:30:00 0
| 2000-10-01 23:37:00 3
| 2000-10-01 23:44:00 6
| 2000-10-01 23:51:00 9
| 2000-10-01 23:58:00 12
| 2000-10-02 00:05:00 15
| 2000-10-02 00:12:00 18
| 2000-10-02 00:19:00 21
| 2000-10-02 00:26:00 24
| Freq: 7T, dtype: int64
|
| >>> ts.resample('17min').sum()
| 2000-10-01 23:14:00 0
| 2000-10-01 23:31:00 9
| 2000-10-01 23:48:00 21
| 2000-10-02 00:05:00 54
| 2000-10-02 00:22:00 24
| Freq: 17T, dtype: int64
|
| >>> ts.resample('17min', origin='epoch').sum()
| 2000-10-01 23:18:00 0
| 2000-10-01 23:35:00 18
| 2000-10-01 23:52:00 27
| 2000-10-02 00:09:00 39
| 2000-10-02 00:26:00 24
| Freq: 17T, dtype: int64
|
| >>> ts.resample('17min', origin='2000-01-01').sum()
| 2000-10-01 23:24:00 3
| 2000-10-01 23:41:00 15
| 2000-10-01 23:58:00 45
| 2000-10-02 00:15:00 45
| Freq: 17T, dtype: int64
|
| If you want to adjust the start of the bins with an `offset` Timedelta, the two
| following lines are equivalent:
|
| >>> ts.resample('17min', origin='start').sum()
| 2000-10-01 23:30:00 9
| 2000-10-01 23:47:00 21
| 2000-10-02 00:04:00 54
| 2000-10-02 00:21:00 24
| Freq: 17T, dtype: int64
|
| >>> ts.resample('17min', offset='23h30min').sum()
| 2000-10-01 23:30:00 9
| 2000-10-01 23:47:00 21
| 2000-10-02 00:04:00 54
| 2000-10-02 00:21:00 24
| Freq: 17T, dtype: int64
|
| If you want to take the largest Timestamp as the end of the bins:
|
| >>> ts.resample('17min', origin='end').sum()
| 2000-10-01 23:35:00 0
| 2000-10-01 23:52:00 18
| 2000-10-02 00:09:00 27
| 2000-10-02 00:26:00 63
| Freq: 17T, dtype: int64
|
| In contrast with the `start_day`, you can use `end_day` to take the ceiling
| midnight of the largest Timestamp as the end of the bins and drop the bins
| not containing data:
|
| >>> ts.resample('17min', origin='end_day').sum()
| 2000-10-01 23:38:00 3
| 2000-10-01 23:55:00 15
| 2000-10-02 00:12:00 45
| 2000-10-02 00:29:00 45
| Freq: 17T, dtype: int64
|
| To replace the use of the deprecated `base` argument, you can now use `offset`,
| in this example it is equivalent to have `base=2`:
|
| >>> ts.resample('17min', offset='2min').sum()
| 2000-10-01 23:16:00 0
| 2000-10-01 23:33:00 9
| 2000-10-01 23:50:00 36
| 2000-10-02 00:07:00 39
| 2000-10-02 00:24:00 24
| Freq: 17T, dtype: int64
|
| To replace the use of the deprecated `loffset` argument:
|
| >>> from pandas.tseries.frequencies import to_offset
| >>> loffset = '19min'
| >>> ts_out = ts.resample('17min').sum()
| >>> ts_out.index = ts_out.index + to_offset(loffset)
| >>> ts_out
| 2000-10-01 23:33:00 0
| 2000-10-01 23:50:00 9
| 2000-10-02 00:07:00 21
| 2000-10-02 00:24:00 54
| 2000-10-02 00:41:00 24
| Freq: 17T, dtype: int64
|
| reset_index(self, level: 'Hashable | Sequence[Hashable] | None' = None, drop: 'bool' = False, inplace: 'bool' = False, col_level: 'Hashable' = 0, col_fill: 'Hashable' = '') -> 'DataFrame | None'
| Reset the index, or a level of it.
|
| Reset the index of the DataFrame, and use the default one instead.
| If the DataFrame has a MultiIndex, this method can remove one or more
| levels.
|
| Parameters
| ----------
| level : int, str, tuple, or list, default None
| Only remove the given levels from the index. Removes all levels by
| default.
| drop : bool, default False
| Do not try to insert index into dataframe columns. This resets
| the index to the default integer index.
| inplace : bool, default False
| Modify the DataFrame in place (do not create a new object).
| col_level : int or str, default 0
| If the columns have multiple levels, determines which level the
| labels are inserted into. By default it is inserted into the first
| level.
| col_fill : object, default ''
| If the columns have multiple levels, determines how the other
| levels are named. If None then the index name is repeated.
|
| Returns
| -------
| DataFrame or None
| DataFrame with the new index or None if ``inplace=True``.
|
| See Also
| --------
| DataFrame.set_index : Opposite of reset_index.
| DataFrame.reindex : Change to new indices or expand indices.
| DataFrame.reindex_like : Change to same indices as other DataFrame.
|
| Examples
| --------
| >>> df = pd.DataFrame([('bird', 389.0),
| ... ('bird', 24.0),
| ... ('mammal', 80.5),
| ... ('mammal', np.nan)],
| ... index=['falcon', 'parrot', 'lion', 'monkey'],
| ... columns=('class', 'max_speed'))
| >>> df
| class max_speed
| falcon bird 389.0
| parrot bird 24.0
| lion mammal 80.5
| monkey mammal NaN
|
| When we reset the index, the old index is added as a column, and a
| new sequential index is used:
|
| >>> df.reset_index()
| index class max_speed
| 0 falcon bird 389.0
| 1 parrot bird 24.0
| 2 lion mammal 80.5
| 3 monkey mammal NaN
|
| We can use the `drop` parameter to avoid the old index being added as
| a column:
|
| >>> df.reset_index(drop=True)
| class max_speed
| 0 bird 389.0
| 1 bird 24.0
| 2 mammal 80.5
| 3 mammal NaN
|
| You can also use `reset_index` with `MultiIndex`.
|
| >>> index = pd.MultiIndex.from_tuples([('bird', 'falcon'),
| ... ('bird', 'parrot'),
| ... ('mammal', 'lion'),
| ... ('mammal', 'monkey')],
| ... names=['class', 'name'])
| >>> columns = pd.MultiIndex.from_tuples([('speed', 'max'),
| ... ('species', 'type')])
| >>> df = pd.DataFrame([(389.0, 'fly'),
| ... ( 24.0, 'fly'),
| ... ( 80.5, 'run'),
| ... (np.nan, 'jump')],
| ... index=index,
| ... columns=columns)
| >>> df
| speed species
| max type
| class name
| bird falcon 389.0 fly
| parrot 24.0 fly
| mammal lion 80.5 run
| monkey NaN jump
|
| If the index has multiple levels, we can reset a subset of them:
|
| >>> df.reset_index(level='class')
| class speed species
| max type
| name
| falcon bird 389.0 fly
| parrot bird 24.0 fly
| lion mammal 80.5 run
| monkey mammal NaN jump
|
| If we are not dropping the index, by default, it is placed in the top
| level. We can place it in another level:
|
| >>> df.reset_index(level='class', col_level=1)
| speed species
| class max type
| name
| falcon bird 389.0 fly
| parrot bird 24.0 fly
| lion mammal 80.5 run
| monkey mammal NaN jump
|
| When the index is inserted under another level, we can specify under
| which one with the parameter `col_fill`:
|
| >>> df.reset_index(level='class', col_level=1, col_fill='species')
| species speed species
| class max type
| name
| falcon bird 389.0 fly
| parrot bird 24.0 fly
| lion mammal 80.5 run
| monkey mammal NaN jump
|
| If we specify a nonexistent level for `col_fill`, it is created:
|
| >>> df.reset_index(level='class', col_level=1, col_fill='genus')
| genus speed species
| class max type
| name
| falcon bird 389.0 fly
| parrot bird 24.0 fly
| lion mammal 80.5 run
| monkey mammal NaN jump
|
| rfloordiv(self, other, axis='columns', level=None, fill_value=None)
| Get Integer division of dataframe and other, element-wise (binary operator `rfloordiv`).
|
| Equivalent to ``other // dataframe``, but with support to substitute a fill_value
| for missing data in one of the inputs. With reverse version, `floordiv`.
|
| Among flexible wrappers (`add`, `sub`, `mul`, `div`, `mod`, `pow`) to
| arithmetic operators: `+`, `-`, `*`, `/`, `//`, `%`, `**`.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns'). For Series input, axis to match Series index on.
| level : int or label
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| fill_value : float or None, default None
| Fill existing missing (NaN) values, and any new element needed for
| successful DataFrame alignment, with this value before computation.
| If data in both corresponding DataFrame locations is missing
| the result will be missing.
|
| Returns
| -------
| DataFrame
| Result of the arithmetic operation.
|
| See Also
| --------
| DataFrame.add : Add DataFrames.
| DataFrame.sub : Subtract DataFrames.
| DataFrame.mul : Multiply DataFrames.
| DataFrame.div : Divide DataFrames (float division).
| DataFrame.truediv : Divide DataFrames (float division).
| DataFrame.floordiv : Divide DataFrames (integer division).
| DataFrame.mod : Calculate modulo (remainder after division).
| DataFrame.pow : Calculate exponential power.
|
| Notes
| -----
| Mismatched indices will be unioned together.
|
| Examples
| --------
| >>> df = pd.DataFrame({'angles': [0, 3, 4],
| ... 'degrees': [360, 180, 360]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> df
| angles degrees
| circle 0 360
| triangle 3 180
| rectangle 4 360
|
| Add a scalar with operator version which return the same
| results.
|
| >>> df + 1
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| >>> df.add(1)
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| Divide by constant with reverse version.
|
| >>> df.div(10)
| angles degrees
| circle 0.0 36.0
| triangle 0.3 18.0
| rectangle 0.4 36.0
|
| >>> df.rdiv(10)
| angles degrees
| circle inf 0.027778
| triangle 3.333333 0.055556
| rectangle 2.500000 0.027778
|
| Subtract a list and Series by axis with operator version.
|
| >>> df - [1, 2]
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub([1, 2], axis='columns')
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub(pd.Series([1, 1, 1], index=['circle', 'triangle', 'rectangle']),
| ... axis='index')
| angles degrees
| circle -1 359
| triangle 2 179
| rectangle 3 359
|
| Multiply a DataFrame of different shape with operator version.
|
| >>> other = pd.DataFrame({'angles': [0, 3, 4]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> other
| angles
| circle 0
| triangle 3
| rectangle 4
|
| >>> df * other
| angles degrees
| circle 0 NaN
| triangle 9 NaN
| rectangle 16 NaN
|
| >>> df.mul(other, fill_value=0)
| angles degrees
| circle 0 0.0
| triangle 9 0.0
| rectangle 16 0.0
|
| Divide by a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'angles': [0, 3, 4, 4, 5, 6],
| ... 'degrees': [360, 180, 360, 360, 540, 720]},
| ... index=[['A', 'A', 'A', 'B', 'B', 'B'],
| ... ['circle', 'triangle', 'rectangle',
| ... 'square', 'pentagon', 'hexagon']])
| >>> df_multindex
| angles degrees
| A circle 0 360
| triangle 3 180
| rectangle 4 360
| B square 4 360
| pentagon 5 540
| hexagon 6 720
|
| >>> df.div(df_multindex, level=1, fill_value=0)
| angles degrees
| A circle NaN 1.0
| triangle 1.0 1.0
| rectangle 1.0 1.0
| B square 0.0 0.0
| pentagon 0.0 0.0
| hexagon 0.0 0.0
|
| rmod(self, other, axis='columns', level=None, fill_value=None)
| Get Modulo of dataframe and other, element-wise (binary operator `rmod`).
|
| Equivalent to ``other % dataframe``, but with support to substitute a fill_value
| for missing data in one of the inputs. With reverse version, `mod`.
|
| Among flexible wrappers (`add`, `sub`, `mul`, `div`, `mod`, `pow`) to
| arithmetic operators: `+`, `-`, `*`, `/`, `//`, `%`, `**`.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns'). For Series input, axis to match Series index on.
| level : int or label
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| fill_value : float or None, default None
| Fill existing missing (NaN) values, and any new element needed for
| successful DataFrame alignment, with this value before computation.
| If data in both corresponding DataFrame locations is missing
| the result will be missing.
|
| Returns
| -------
| DataFrame
| Result of the arithmetic operation.
|
| See Also
| --------
| DataFrame.add : Add DataFrames.
| DataFrame.sub : Subtract DataFrames.
| DataFrame.mul : Multiply DataFrames.
| DataFrame.div : Divide DataFrames (float division).
| DataFrame.truediv : Divide DataFrames (float division).
| DataFrame.floordiv : Divide DataFrames (integer division).
| DataFrame.mod : Calculate modulo (remainder after division).
| DataFrame.pow : Calculate exponential power.
|
| Notes
| -----
| Mismatched indices will be unioned together.
|
| Examples
| --------
| >>> df = pd.DataFrame({'angles': [0, 3, 4],
| ... 'degrees': [360, 180, 360]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> df
| angles degrees
| circle 0 360
| triangle 3 180
| rectangle 4 360
|
| Add a scalar with operator version which return the same
| results.
|
| >>> df + 1
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| >>> df.add(1)
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| Divide by constant with reverse version.
|
| >>> df.div(10)
| angles degrees
| circle 0.0 36.0
| triangle 0.3 18.0
| rectangle 0.4 36.0
|
| >>> df.rdiv(10)
| angles degrees
| circle inf 0.027778
| triangle 3.333333 0.055556
| rectangle 2.500000 0.027778
|
| Subtract a list and Series by axis with operator version.
|
| >>> df - [1, 2]
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub([1, 2], axis='columns')
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub(pd.Series([1, 1, 1], index=['circle', 'triangle', 'rectangle']),
| ... axis='index')
| angles degrees
| circle -1 359
| triangle 2 179
| rectangle 3 359
|
| Multiply a DataFrame of different shape with operator version.
|
| >>> other = pd.DataFrame({'angles': [0, 3, 4]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> other
| angles
| circle 0
| triangle 3
| rectangle 4
|
| >>> df * other
| angles degrees
| circle 0 NaN
| triangle 9 NaN
| rectangle 16 NaN
|
| >>> df.mul(other, fill_value=0)
| angles degrees
| circle 0 0.0
| triangle 9 0.0
| rectangle 16 0.0
|
| Divide by a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'angles': [0, 3, 4, 4, 5, 6],
| ... 'degrees': [360, 180, 360, 360, 540, 720]},
| ... index=[['A', 'A', 'A', 'B', 'B', 'B'],
| ... ['circle', 'triangle', 'rectangle',
| ... 'square', 'pentagon', 'hexagon']])
| >>> df_multindex
| angles degrees
| A circle 0 360
| triangle 3 180
| rectangle 4 360
| B square 4 360
| pentagon 5 540
| hexagon 6 720
|
| >>> df.div(df_multindex, level=1, fill_value=0)
| angles degrees
| A circle NaN 1.0
| triangle 1.0 1.0
| rectangle 1.0 1.0
| B square 0.0 0.0
| pentagon 0.0 0.0
| hexagon 0.0 0.0
|
| rmul(self, other, axis='columns', level=None, fill_value=None)
| Get Multiplication of dataframe and other, element-wise (binary operator `rmul`).
|
| Equivalent to ``other * dataframe``, but with support to substitute a fill_value
| for missing data in one of the inputs. With reverse version, `mul`.
|
| Among flexible wrappers (`add`, `sub`, `mul`, `div`, `mod`, `pow`) to
| arithmetic operators: `+`, `-`, `*`, `/`, `//`, `%`, `**`.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns'). For Series input, axis to match Series index on.
| level : int or label
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| fill_value : float or None, default None
| Fill existing missing (NaN) values, and any new element needed for
| successful DataFrame alignment, with this value before computation.
| If data in both corresponding DataFrame locations is missing
| the result will be missing.
|
| Returns
| -------
| DataFrame
| Result of the arithmetic operation.
|
| See Also
| --------
| DataFrame.add : Add DataFrames.
| DataFrame.sub : Subtract DataFrames.
| DataFrame.mul : Multiply DataFrames.
| DataFrame.div : Divide DataFrames (float division).
| DataFrame.truediv : Divide DataFrames (float division).
| DataFrame.floordiv : Divide DataFrames (integer division).
| DataFrame.mod : Calculate modulo (remainder after division).
| DataFrame.pow : Calculate exponential power.
|
| Notes
| -----
| Mismatched indices will be unioned together.
|
| Examples
| --------
| >>> df = pd.DataFrame({'angles': [0, 3, 4],
| ... 'degrees': [360, 180, 360]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> df
| angles degrees
| circle 0 360
| triangle 3 180
| rectangle 4 360
|
| Add a scalar with operator version which return the same
| results.
|
| >>> df + 1
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| >>> df.add(1)
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| Divide by constant with reverse version.
|
| >>> df.div(10)
| angles degrees
| circle 0.0 36.0
| triangle 0.3 18.0
| rectangle 0.4 36.0
|
| >>> df.rdiv(10)
| angles degrees
| circle inf 0.027778
| triangle 3.333333 0.055556
| rectangle 2.500000 0.027778
|
| Subtract a list and Series by axis with operator version.
|
| >>> df - [1, 2]
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub([1, 2], axis='columns')
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub(pd.Series([1, 1, 1], index=['circle', 'triangle', 'rectangle']),
| ... axis='index')
| angles degrees
| circle -1 359
| triangle 2 179
| rectangle 3 359
|
| Multiply a DataFrame of different shape with operator version.
|
| >>> other = pd.DataFrame({'angles': [0, 3, 4]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> other
| angles
| circle 0
| triangle 3
| rectangle 4
|
| >>> df * other
| angles degrees
| circle 0 NaN
| triangle 9 NaN
| rectangle 16 NaN
|
| >>> df.mul(other, fill_value=0)
| angles degrees
| circle 0 0.0
| triangle 9 0.0
| rectangle 16 0.0
|
| Divide by a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'angles': [0, 3, 4, 4, 5, 6],
| ... 'degrees': [360, 180, 360, 360, 540, 720]},
| ... index=[['A', 'A', 'A', 'B', 'B', 'B'],
| ... ['circle', 'triangle', 'rectangle',
| ... 'square', 'pentagon', 'hexagon']])
| >>> df_multindex
| angles degrees
| A circle 0 360
| triangle 3 180
| rectangle 4 360
| B square 4 360
| pentagon 5 540
| hexagon 6 720
|
| >>> df.div(df_multindex, level=1, fill_value=0)
| angles degrees
| A circle NaN 1.0
| triangle 1.0 1.0
| rectangle 1.0 1.0
| B square 0.0 0.0
| pentagon 0.0 0.0
| hexagon 0.0 0.0
|
| round(self, decimals: 'int | dict[IndexLabel, int] | Series' = 0, *args, **kwargs) -> 'DataFrame'
| Round a DataFrame to a variable number of decimal places.
|
| Parameters
| ----------
| decimals : int, dict, Series
| Number of decimal places to round each column to. If an int is
| given, round each column to the same number of places.
| Otherwise dict and Series round to variable numbers of places.
| Column names should be in the keys if `decimals` is a
| dict-like, or in the index if `decimals` is a Series. Any
| columns not included in `decimals` will be left as is. Elements
| of `decimals` which are not columns of the input will be
| ignored.
| *args
| Additional keywords have no effect but might be accepted for
| compatibility with numpy.
| **kwargs
| Additional keywords have no effect but might be accepted for
| compatibility with numpy.
|
| Returns
| -------
| DataFrame
| A DataFrame with the affected columns rounded to the specified
| number of decimal places.
|
| See Also
| --------
| numpy.around : Round a numpy array to the given number of decimals.
| Series.round : Round a Series to the given number of decimals.
|
| Examples
| --------
| >>> df = pd.DataFrame([(.21, .32), (.01, .67), (.66, .03), (.21, .18)],
| ... columns=['dogs', 'cats'])
| >>> df
| dogs cats
| 0 0.21 0.32
| 1 0.01 0.67
| 2 0.66 0.03
| 3 0.21 0.18
|
| By providing an integer each column is rounded to the same number
| of decimal places
|
| >>> df.round(1)
| dogs cats
| 0 0.2 0.3
| 1 0.0 0.7
| 2 0.7 0.0
| 3 0.2 0.2
|
| With a dict, the number of places for specific columns can be
| specified with the column names as key and the number of decimal
| places as value
|
| >>> df.round({'dogs': 1, 'cats': 0})
| dogs cats
| 0 0.2 0.0
| 1 0.0 1.0
| 2 0.7 0.0
| 3 0.2 0.0
|
| Using a Series, the number of places for specific columns can be
| specified with the column names as index and the number of
| decimal places as value
|
| >>> decimals = pd.Series([0, 1], index=['cats', 'dogs'])
| >>> df.round(decimals)
| dogs cats
| 0 0.2 0.0
| 1 0.0 1.0
| 2 0.7 0.0
| 3 0.2 0.0
|
| rpow(self, other, axis='columns', level=None, fill_value=None)
| Get Exponential power of dataframe and other, element-wise (binary operator `rpow`).
|
| Equivalent to ``other ** dataframe``, but with support to substitute a fill_value
| for missing data in one of the inputs. With reverse version, `pow`.
|
| Among flexible wrappers (`add`, `sub`, `mul`, `div`, `mod`, `pow`) to
| arithmetic operators: `+`, `-`, `*`, `/`, `//`, `%`, `**`.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns'). For Series input, axis to match Series index on.
| level : int or label
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| fill_value : float or None, default None
| Fill existing missing (NaN) values, and any new element needed for
| successful DataFrame alignment, with this value before computation.
| If data in both corresponding DataFrame locations is missing
| the result will be missing.
|
| Returns
| -------
| DataFrame
| Result of the arithmetic operation.
|
| See Also
| --------
| DataFrame.add : Add DataFrames.
| DataFrame.sub : Subtract DataFrames.
| DataFrame.mul : Multiply DataFrames.
| DataFrame.div : Divide DataFrames (float division).
| DataFrame.truediv : Divide DataFrames (float division).
| DataFrame.floordiv : Divide DataFrames (integer division).
| DataFrame.mod : Calculate modulo (remainder after division).
| DataFrame.pow : Calculate exponential power.
|
| Notes
| -----
| Mismatched indices will be unioned together.
|
| Examples
| --------
| >>> df = pd.DataFrame({'angles': [0, 3, 4],
| ... 'degrees': [360, 180, 360]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> df
| angles degrees
| circle 0 360
| triangle 3 180
| rectangle 4 360
|
| Add a scalar with operator version which return the same
| results.
|
| >>> df + 1
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| >>> df.add(1)
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| Divide by constant with reverse version.
|
| >>> df.div(10)
| angles degrees
| circle 0.0 36.0
| triangle 0.3 18.0
| rectangle 0.4 36.0
|
| >>> df.rdiv(10)
| angles degrees
| circle inf 0.027778
| triangle 3.333333 0.055556
| rectangle 2.500000 0.027778
|
| Subtract a list and Series by axis with operator version.
|
| >>> df - [1, 2]
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub([1, 2], axis='columns')
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub(pd.Series([1, 1, 1], index=['circle', 'triangle', 'rectangle']),
| ... axis='index')
| angles degrees
| circle -1 359
| triangle 2 179
| rectangle 3 359
|
| Multiply a DataFrame of different shape with operator version.
|
| >>> other = pd.DataFrame({'angles': [0, 3, 4]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> other
| angles
| circle 0
| triangle 3
| rectangle 4
|
| >>> df * other
| angles degrees
| circle 0 NaN
| triangle 9 NaN
| rectangle 16 NaN
|
| >>> df.mul(other, fill_value=0)
| angles degrees
| circle 0 0.0
| triangle 9 0.0
| rectangle 16 0.0
|
| Divide by a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'angles': [0, 3, 4, 4, 5, 6],
| ... 'degrees': [360, 180, 360, 360, 540, 720]},
| ... index=[['A', 'A', 'A', 'B', 'B', 'B'],
| ... ['circle', 'triangle', 'rectangle',
| ... 'square', 'pentagon', 'hexagon']])
| >>> df_multindex
| angles degrees
| A circle 0 360
| triangle 3 180
| rectangle 4 360
| B square 4 360
| pentagon 5 540
| hexagon 6 720
|
| >>> df.div(df_multindex, level=1, fill_value=0)
| angles degrees
| A circle NaN 1.0
| triangle 1.0 1.0
| rectangle 1.0 1.0
| B square 0.0 0.0
| pentagon 0.0 0.0
| hexagon 0.0 0.0
|
| rsub(self, other, axis='columns', level=None, fill_value=None)
| Get Subtraction of dataframe and other, element-wise (binary operator `rsub`).
|
| Equivalent to ``other - dataframe``, but with support to substitute a fill_value
| for missing data in one of the inputs. With reverse version, `sub`.
|
| Among flexible wrappers (`add`, `sub`, `mul`, `div`, `mod`, `pow`) to
| arithmetic operators: `+`, `-`, `*`, `/`, `//`, `%`, `**`.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns'). For Series input, axis to match Series index on.
| level : int or label
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| fill_value : float or None, default None
| Fill existing missing (NaN) values, and any new element needed for
| successful DataFrame alignment, with this value before computation.
| If data in both corresponding DataFrame locations is missing
| the result will be missing.
|
| Returns
| -------
| DataFrame
| Result of the arithmetic operation.
|
| See Also
| --------
| DataFrame.add : Add DataFrames.
| DataFrame.sub : Subtract DataFrames.
| DataFrame.mul : Multiply DataFrames.
| DataFrame.div : Divide DataFrames (float division).
| DataFrame.truediv : Divide DataFrames (float division).
| DataFrame.floordiv : Divide DataFrames (integer division).
| DataFrame.mod : Calculate modulo (remainder after division).
| DataFrame.pow : Calculate exponential power.
|
| Notes
| -----
| Mismatched indices will be unioned together.
|
| Examples
| --------
| >>> df = pd.DataFrame({'angles': [0, 3, 4],
| ... 'degrees': [360, 180, 360]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> df
| angles degrees
| circle 0 360
| triangle 3 180
| rectangle 4 360
|
| Add a scalar with operator version which return the same
| results.
|
| >>> df + 1
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| >>> df.add(1)
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| Divide by constant with reverse version.
|
| >>> df.div(10)
| angles degrees
| circle 0.0 36.0
| triangle 0.3 18.0
| rectangle 0.4 36.0
|
| >>> df.rdiv(10)
| angles degrees
| circle inf 0.027778
| triangle 3.333333 0.055556
| rectangle 2.500000 0.027778
|
| Subtract a list and Series by axis with operator version.
|
| >>> df - [1, 2]
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub([1, 2], axis='columns')
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub(pd.Series([1, 1, 1], index=['circle', 'triangle', 'rectangle']),
| ... axis='index')
| angles degrees
| circle -1 359
| triangle 2 179
| rectangle 3 359
|
| Multiply a DataFrame of different shape with operator version.
|
| >>> other = pd.DataFrame({'angles': [0, 3, 4]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> other
| angles
| circle 0
| triangle 3
| rectangle 4
|
| >>> df * other
| angles degrees
| circle 0 NaN
| triangle 9 NaN
| rectangle 16 NaN
|
| >>> df.mul(other, fill_value=0)
| angles degrees
| circle 0 0.0
| triangle 9 0.0
| rectangle 16 0.0
|
| Divide by a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'angles': [0, 3, 4, 4, 5, 6],
| ... 'degrees': [360, 180, 360, 360, 540, 720]},
| ... index=[['A', 'A', 'A', 'B', 'B', 'B'],
| ... ['circle', 'triangle', 'rectangle',
| ... 'square', 'pentagon', 'hexagon']])
| >>> df_multindex
| angles degrees
| A circle 0 360
| triangle 3 180
| rectangle 4 360
| B square 4 360
| pentagon 5 540
| hexagon 6 720
|
| >>> df.div(df_multindex, level=1, fill_value=0)
| angles degrees
| A circle NaN 1.0
| triangle 1.0 1.0
| rectangle 1.0 1.0
| B square 0.0 0.0
| pentagon 0.0 0.0
| hexagon 0.0 0.0
|
| rtruediv(self, other, axis='columns', level=None, fill_value=None)
| Get Floating division of dataframe and other, element-wise (binary operator `rtruediv`).
|
| Equivalent to ``other / dataframe``, but with support to substitute a fill_value
| for missing data in one of the inputs. With reverse version, `truediv`.
|
| Among flexible wrappers (`add`, `sub`, `mul`, `div`, `mod`, `pow`) to
| arithmetic operators: `+`, `-`, `*`, `/`, `//`, `%`, `**`.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns'). For Series input, axis to match Series index on.
| level : int or label
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| fill_value : float or None, default None
| Fill existing missing (NaN) values, and any new element needed for
| successful DataFrame alignment, with this value before computation.
| If data in both corresponding DataFrame locations is missing
| the result will be missing.
|
| Returns
| -------
| DataFrame
| Result of the arithmetic operation.
|
| See Also
| --------
| DataFrame.add : Add DataFrames.
| DataFrame.sub : Subtract DataFrames.
| DataFrame.mul : Multiply DataFrames.
| DataFrame.div : Divide DataFrames (float division).
| DataFrame.truediv : Divide DataFrames (float division).
| DataFrame.floordiv : Divide DataFrames (integer division).
| DataFrame.mod : Calculate modulo (remainder after division).
| DataFrame.pow : Calculate exponential power.
|
| Notes
| -----
| Mismatched indices will be unioned together.
|
| Examples
| --------
| >>> df = pd.DataFrame({'angles': [0, 3, 4],
| ... 'degrees': [360, 180, 360]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> df
| angles degrees
| circle 0 360
| triangle 3 180
| rectangle 4 360
|
| Add a scalar with operator version which return the same
| results.
|
| >>> df + 1
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| >>> df.add(1)
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| Divide by constant with reverse version.
|
| >>> df.div(10)
| angles degrees
| circle 0.0 36.0
| triangle 0.3 18.0
| rectangle 0.4 36.0
|
| >>> df.rdiv(10)
| angles degrees
| circle inf 0.027778
| triangle 3.333333 0.055556
| rectangle 2.500000 0.027778
|
| Subtract a list and Series by axis with operator version.
|
| >>> df - [1, 2]
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub([1, 2], axis='columns')
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub(pd.Series([1, 1, 1], index=['circle', 'triangle', 'rectangle']),
| ... axis='index')
| angles degrees
| circle -1 359
| triangle 2 179
| rectangle 3 359
|
| Multiply a DataFrame of different shape with operator version.
|
| >>> other = pd.DataFrame({'angles': [0, 3, 4]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> other
| angles
| circle 0
| triangle 3
| rectangle 4
|
| >>> df * other
| angles degrees
| circle 0 NaN
| triangle 9 NaN
| rectangle 16 NaN
|
| >>> df.mul(other, fill_value=0)
| angles degrees
| circle 0 0.0
| triangle 9 0.0
| rectangle 16 0.0
|
| Divide by a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'angles': [0, 3, 4, 4, 5, 6],
| ... 'degrees': [360, 180, 360, 360, 540, 720]},
| ... index=[['A', 'A', 'A', 'B', 'B', 'B'],
| ... ['circle', 'triangle', 'rectangle',
| ... 'square', 'pentagon', 'hexagon']])
| >>> df_multindex
| angles degrees
| A circle 0 360
| triangle 3 180
| rectangle 4 360
| B square 4 360
| pentagon 5 540
| hexagon 6 720
|
| >>> df.div(df_multindex, level=1, fill_value=0)
| angles degrees
| A circle NaN 1.0
| triangle 1.0 1.0
| rectangle 1.0 1.0
| B square 0.0 0.0
| pentagon 0.0 0.0
| hexagon 0.0 0.0
|
| select_dtypes(self, include=None, exclude=None) -> 'DataFrame'
| Return a subset of the DataFrame's columns based on the column dtypes.
|
| Parameters
| ----------
| include, exclude : scalar or list-like
| A selection of dtypes or strings to be included/excluded. At least
| one of these parameters must be supplied.
|
| Returns
| -------
| DataFrame
| The subset of the frame including the dtypes in ``include`` and
| excluding the dtypes in ``exclude``.
|
| Raises
| ------
| ValueError
| * If both of ``include`` and ``exclude`` are empty
| * If ``include`` and ``exclude`` have overlapping elements
| * If any kind of string dtype is passed in.
|
| See Also
| --------
| DataFrame.dtypes: Return Series with the data type of each column.
|
| Notes
| -----
| * To select all *numeric* types, use ``np.number`` or ``'number'``
| * To select strings you must use the ``object`` dtype, but note that
| this will return *all* object dtype columns
| * See the `numpy dtype hierarchy
| <https://numpy.org/doc/stable/reference/arrays.scalars.html>`__
| * To select datetimes, use ``np.datetime64``, ``'datetime'`` or
| ``'datetime64'``
| * To select timedeltas, use ``np.timedelta64``, ``'timedelta'`` or
| ``'timedelta64'``
| * To select Pandas categorical dtypes, use ``'category'``
| * To select Pandas datetimetz dtypes, use ``'datetimetz'`` (new in
| 0.20.0) or ``'datetime64[ns, tz]'``
|
| Examples
| --------
| >>> df = pd.DataFrame({'a': [1, 2] * 3,
| ... 'b': [True, False] * 3,
| ... 'c': [1.0, 2.0] * 3})
| >>> df
| a b c
| 0 1 True 1.0
| 1 2 False 2.0
| 2 1 True 1.0
| 3 2 False 2.0
| 4 1 True 1.0
| 5 2 False 2.0
|
| >>> df.select_dtypes(include='bool')
| b
| 0 True
| 1 False
| 2 True
| 3 False
| 4 True
| 5 False
|
| >>> df.select_dtypes(include=['float64'])
| c
| 0 1.0
| 1 2.0
| 2 1.0
| 3 2.0
| 4 1.0
| 5 2.0
|
| >>> df.select_dtypes(exclude=['int64'])
| b c
| 0 True 1.0
| 1 False 2.0
| 2 True 1.0
| 3 False 2.0
| 4 True 1.0
| 5 False 2.0
|
| sem(self, axis=None, skipna=None, level=None, ddof=1, numeric_only=None, **kwargs)
| Return unbiased standard error of the mean over requested axis.
|
| Normalized by N-1 by default. This can be changed using the ddof argument
|
| Parameters
| ----------
| axis : {index (0), columns (1)}
| skipna : bool, default True
| Exclude NA/null values. If an entire row/column is NA, the result
| will be NA.
| level : int or level name, default None
| If the axis is a MultiIndex (hierarchical), count along a
| particular level, collapsing into a Series.
| ddof : int, default 1
| Delta Degrees of Freedom. The divisor used in calculations is N - ddof,
| where N represents the number of elements.
| numeric_only : bool, default None
| Include only float, int, boolean columns. If None, will attempt to use
| everything, then use only numeric data. Not implemented for Series.
|
| Returns
| -------
| Series or DataFrame (if level specified)
|
| Notes
| -----
| To have the same behaviour as `numpy.std`, use `ddof=0` (instead of the
| default `ddof=1`)
|
| set_axis(self, labels, axis: 'Axis' = 0, inplace: 'bool' = False)
| Assign desired index to given axis.
|
| Indexes for column or row labels can be changed by assigning
| a list-like or Index.
|
| Parameters
| ----------
| labels : list-like, Index
| The values for the new index.
|
| axis : {0 or 'index', 1 or 'columns'}, default 0
| The axis to update. The value 0 identifies the rows, and 1 identifies the columns.
|
| inplace : bool, default False
| Whether to return a new DataFrame instance.
|
| Returns
| -------
| renamed : DataFrame or None
| An object of type DataFrame or None if ``inplace=True``.
|
| See Also
| --------
| DataFrame.rename_axis : Alter the name of the index or columns.
|
| Examples
| --------
| >>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
|
| Change the row labels.
|
| >>> df.set_axis(['a', 'b', 'c'], axis='index')
| A B
| a 1 4
| b 2 5
| c 3 6
|
| Change the column labels.
|
| >>> df.set_axis(['I', 'II'], axis='columns')
| I II
| 0 1 4
| 1 2 5
| 2 3 6
|
| Now, update the labels inplace.
|
| >>> df.set_axis(['i', 'ii'], axis='columns', inplace=True)
| >>> df
| i ii
| 0 1 4
| 1 2 5
| 2 3 6
|
| set_index(self, keys, drop: 'bool' = True, append: 'bool' = False, inplace: 'bool' = False, verify_integrity: 'bool' = False)
| Set the DataFrame index using existing columns.
|
| Set the DataFrame index (row labels) using one or more existing
| columns or arrays (of the correct length). The index can replace the
| existing index or expand on it.
|
| Parameters
| ----------
| keys : label or array-like or list of labels/arrays
| This parameter can be either a single column key, a single array of
| the same length as the calling DataFrame, or a list containing an
| arbitrary combination of column keys and arrays. Here, "array"
| encompasses :class:`Series`, :class:`Index`, ``np.ndarray``, and
| instances of :class:`~collections.abc.Iterator`.
| drop : bool, default True
| Delete columns to be used as the new index.
| append : bool, default False
| Whether to append columns to existing index.
| inplace : bool, default False
| If True, modifies the DataFrame in place (do not create a new object).
| verify_integrity : bool, default False
| Check the new index for duplicates. Otherwise defer the check until
| necessary. Setting to False will improve the performance of this
| method.
|
| Returns
| -------
| DataFrame or None
| Changed row labels or None if ``inplace=True``.
|
| See Also
| --------
| DataFrame.reset_index : Opposite of set_index.
| DataFrame.reindex : Change to new indices or expand indices.
| DataFrame.reindex_like : Change to same indices as other DataFrame.
|
| Examples
| --------
| >>> df = pd.DataFrame({'month': [1, 4, 7, 10],
| ... 'year': [2012, 2014, 2013, 2014],
| ... 'sale': [55, 40, 84, 31]})
| >>> df
| month year sale
| 0 1 2012 55
| 1 4 2014 40
| 2 7 2013 84
| 3 10 2014 31
|
| Set the index to become the 'month' column:
|
| >>> df.set_index('month')
| year sale
| month
| 1 2012 55
| 4 2014 40
| 7 2013 84
| 10 2014 31
|
| Create a MultiIndex using columns 'year' and 'month':
|
| >>> df.set_index(['year', 'month'])
| sale
| year month
| 2012 1 55
| 2014 4 40
| 2013 7 84
| 2014 10 31
|
| Create a MultiIndex using an Index and a column:
|
| >>> df.set_index([pd.Index([1, 2, 3, 4]), 'year'])
| month sale
| year
| 1 2012 1 55
| 2 2014 4 40
| 3 2013 7 84
| 4 2014 10 31
|
| Create a MultiIndex using two Series:
|
| >>> s = pd.Series([1, 2, 3, 4])
| >>> df.set_index([s, s**2])
| month year sale
| 1 1 1 2012 55
| 2 4 4 2014 40
| 3 9 7 2013 84
| 4 16 10 2014 31
|
| shift(self, periods=1, freq: 'Frequency | None' = None, axis: 'Axis' = 0, fill_value=<no_default>) -> 'DataFrame'
| Shift index by desired number of periods with an optional time `freq`.
|
| When `freq` is not passed, shift the index without realigning the data.
| If `freq` is passed (in this case, the index must be date or datetime,
| or it will raise a `NotImplementedError`), the index will be
| increased using the periods and the `freq`. `freq` can be inferred
| when specified as "infer" as long as either freq or inferred_freq
| attribute is set in the index.
|
| Parameters
| ----------
| periods : int
| Number of periods to shift. Can be positive or negative.
| freq : DateOffset, tseries.offsets, timedelta, or str, optional
| Offset to use from the tseries module or time rule (e.g. 'EOM').
| If `freq` is specified then the index values are shifted but the
| data is not realigned. That is, use `freq` if you would like to
| extend the index when shifting and preserve the original data.
| If `freq` is specified as "infer" then it will be inferred from
| the freq or inferred_freq attributes of the index. If neither of
| those attributes exist, a ValueError is thrown.
| axis : {0 or 'index', 1 or 'columns', None}, default None
| Shift direction.
| fill_value : object, optional
| The scalar value to use for newly introduced missing values.
| the default depends on the dtype of `self`.
| For numeric data, ``np.nan`` is used.
| For datetime, timedelta, or period data, etc. :attr:`NaT` is used.
| For extension dtypes, ``self.dtype.na_value`` is used.
|
| .. versionchanged:: 1.1.0
|
| Returns
| -------
| DataFrame
| Copy of input object, shifted.
|
| See Also
| --------
| Index.shift : Shift values of Index.
| DatetimeIndex.shift : Shift values of DatetimeIndex.
| PeriodIndex.shift : Shift values of PeriodIndex.
| tshift : Shift the time index, using the index's frequency if
| available.
|
| Examples
| --------
| >>> df = pd.DataFrame({"Col1": [10, 20, 15, 30, 45],
| ... "Col2": [13, 23, 18, 33, 48],
| ... "Col3": [17, 27, 22, 37, 52]},
| ... index=pd.date_range("2020-01-01", "2020-01-05"))
| >>> df
| Col1 Col2 Col3
| 2020-01-01 10 13 17
| 2020-01-02 20 23 27
| 2020-01-03 15 18 22
| 2020-01-04 30 33 37
| 2020-01-05 45 48 52
|
| >>> df.shift(periods=3)
| Col1 Col2 Col3
| 2020-01-01 NaN NaN NaN
| 2020-01-02 NaN NaN NaN
| 2020-01-03 NaN NaN NaN
| 2020-01-04 10.0 13.0 17.0
| 2020-01-05 20.0 23.0 27.0
|
| >>> df.shift(periods=1, axis="columns")
| Col1 Col2 Col3
| 2020-01-01 NaN 10 13
| 2020-01-02 NaN 20 23
| 2020-01-03 NaN 15 18
| 2020-01-04 NaN 30 33
| 2020-01-05 NaN 45 48
|
| >>> df.shift(periods=3, fill_value=0)
| Col1 Col2 Col3
| 2020-01-01 0 0 0
| 2020-01-02 0 0 0
| 2020-01-03 0 0 0
| 2020-01-04 10 13 17
| 2020-01-05 20 23 27
|
| >>> df.shift(periods=3, freq="D")
| Col1 Col2 Col3
| 2020-01-04 10 13 17
| 2020-01-05 20 23 27
| 2020-01-06 15 18 22
| 2020-01-07 30 33 37
| 2020-01-08 45 48 52
|
| >>> df.shift(periods=3, freq="infer")
| Col1 Col2 Col3
| 2020-01-04 10 13 17
| 2020-01-05 20 23 27
| 2020-01-06 15 18 22
| 2020-01-07 30 33 37
| 2020-01-08 45 48 52
|
| skew(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs)
| Return unbiased skew over requested axis.
|
| Normalized by N-1.
|
| Parameters
| ----------
| axis : {index (0), columns (1)}
| Axis for the function to be applied on.
| skipna : bool, default True
| Exclude NA/null values when computing the result.
| level : int or level name, default None
| If the axis is a MultiIndex (hierarchical), count along a
| particular level, collapsing into a Series.
| numeric_only : bool, default None
| Include only float, int, boolean columns. If None, will attempt to use
| everything, then use only numeric data. Not implemented for Series.
| **kwargs
| Additional keyword arguments to be passed to the function.
|
| Returns
| -------
| Series or DataFrame (if level specified)
|
| sort_index(self, axis: 'Axis' = 0, level: 'Level | None' = None, ascending: 'bool | int | Sequence[bool | int]' = True, inplace: 'bool' = False, kind: 'str' = 'quicksort', na_position: 'str' = 'last', sort_remaining: 'bool' = True, ignore_index: 'bool' = False, key: 'IndexKeyFunc' = None)
| Sort object by labels (along an axis).
|
| Returns a new DataFrame sorted by label if `inplace` argument is
| ``False``, otherwise updates the original DataFrame and returns None.
|
| Parameters
| ----------
| axis : {0 or 'index', 1 or 'columns'}, default 0
| The axis along which to sort. The value 0 identifies the rows,
| and 1 identifies the columns.
| level : int or level name or list of ints or list of level names
| If not None, sort on values in specified index level(s).
| ascending : bool or list-like of bools, default True
| Sort ascending vs. descending. When the index is a MultiIndex the
| sort direction can be controlled for each level individually.
| inplace : bool, default False
| If True, perform operation in-place.
| kind : {'quicksort', 'mergesort', 'heapsort', 'stable'}, default 'quicksort'
| Choice of sorting algorithm. See also :func:`numpy.sort` for more
| information. `mergesort` and `stable` are the only stable algorithms. For
| DataFrames, this option is only applied when sorting on a single
| column or label.
| na_position : {'first', 'last'}, default 'last'
| Puts NaNs at the beginning if `first`; `last` puts NaNs at the end.
| Not implemented for MultiIndex.
| sort_remaining : bool, default True
| If True and sorting by level and index is multilevel, sort by other
| levels too (in order) after sorting by specified level.
| ignore_index : bool, default False
| If True, the resulting axis will be labeled 0, 1, …, n - 1.
|
| .. versionadded:: 1.0.0
|
| key : callable, optional
| If not None, apply the key function to the index values
| before sorting. This is similar to the `key` argument in the
| builtin :meth:`sorted` function, with the notable difference that
| this `key` function should be *vectorized*. It should expect an
| ``Index`` and return an ``Index`` of the same shape. For MultiIndex
| inputs, the key is applied *per level*.
|
| .. versionadded:: 1.1.0
|
| Returns
| -------
| DataFrame or None
| The original DataFrame sorted by the labels or None if ``inplace=True``.
|
| See Also
| --------
| Series.sort_index : Sort Series by the index.
| DataFrame.sort_values : Sort DataFrame by the value.
| Series.sort_values : Sort Series by the value.
|
| Examples
| --------
| >>> df = pd.DataFrame([1, 2, 3, 4, 5], index=[100, 29, 234, 1, 150],
| ... columns=['A'])
| >>> df.sort_index()
| A
| 1 4
| 29 2
| 100 1
| 150 5
| 234 3
|
| By default, it sorts in ascending order, to sort in descending order,
| use ``ascending=False``
|
| >>> df.sort_index(ascending=False)
| A
| 234 3
| 150 5
| 100 1
| 29 2
| 1 4
|
| A key function can be specified which is applied to the index before
| sorting. For a ``MultiIndex`` this is applied to each level separately.
|
| >>> df = pd.DataFrame({"a": [1, 2, 3, 4]}, index=['A', 'b', 'C', 'd'])
| >>> df.sort_index(key=lambda x: x.str.lower())
| a
| A 1
| b 2
| C 3
| d 4
|
| sort_values(self, by, axis: 'Axis' = 0, ascending=True, inplace: 'bool' = False, kind: 'str' = 'quicksort', na_position: 'str' = 'last', ignore_index: 'bool' = False, key: 'ValueKeyFunc' = None)
| Sort by the values along either axis.
|
| Parameters
| ----------
| by : str or list of str
| Name or list of names to sort by.
|
| - if `axis` is 0 or `'index'` then `by` may contain index
| levels and/or column labels.
| - if `axis` is 1 or `'columns'` then `by` may contain column
| levels and/or index labels.
| axis : {0 or 'index', 1 or 'columns'}, default 0
| Axis to be sorted.
| ascending : bool or list of bool, default True
| Sort ascending vs. descending. Specify list for multiple sort
| orders. If this is a list of bools, must match the length of
| the by.
| inplace : bool, default False
| If True, perform operation in-place.
| kind : {'quicksort', 'mergesort', 'heapsort', 'stable'}, default 'quicksort'
| Choice of sorting algorithm. See also :func:`numpy.sort` for more
| information. `mergesort` and `stable` are the only stable algorithms. For
| DataFrames, this option is only applied when sorting on a single
| column or label.
| na_position : {'first', 'last'}, default 'last'
| Puts NaNs at the beginning if `first`; `last` puts NaNs at the
| end.
| ignore_index : bool, default False
| If True, the resulting axis will be labeled 0, 1, …, n - 1.
|
| .. versionadded:: 1.0.0
|
| key : callable, optional
| Apply the key function to the values
| before sorting. This is similar to the `key` argument in the
| builtin :meth:`sorted` function, with the notable difference that
| this `key` function should be *vectorized*. It should expect a
| ``Series`` and return a Series with the same shape as the input.
| It will be applied to each column in `by` independently.
|
| .. versionadded:: 1.1.0
|
| Returns
| -------
| DataFrame or None
| DataFrame with sorted values or None if ``inplace=True``.
|
| See Also
| --------
| DataFrame.sort_index : Sort a DataFrame by the index.
| Series.sort_values : Similar method for a Series.
|
| Examples
| --------
| >>> df = pd.DataFrame({
| ... 'col1': ['A', 'A', 'B', np.nan, 'D', 'C'],
| ... 'col2': [2, 1, 9, 8, 7, 4],
| ... 'col3': [0, 1, 9, 4, 2, 3],
| ... 'col4': ['a', 'B', 'c', 'D', 'e', 'F']
| ... })
| >>> df
| col1 col2 col3 col4
| 0 A 2 0 a
| 1 A 1 1 B
| 2 B 9 9 c
| 3 NaN 8 4 D
| 4 D 7 2 e
| 5 C 4 3 F
|
| Sort by col1
|
| >>> df.sort_values(by=['col1'])
| col1 col2 col3 col4
| 0 A 2 0 a
| 1 A 1 1 B
| 2 B 9 9 c
| 5 C 4 3 F
| 4 D 7 2 e
| 3 NaN 8 4 D
|
| Sort by multiple columns
|
| >>> df.sort_values(by=['col1', 'col2'])
| col1 col2 col3 col4
| 1 A 1 1 B
| 0 A 2 0 a
| 2 B 9 9 c
| 5 C 4 3 F
| 4 D 7 2 e
| 3 NaN 8 4 D
|
| Sort Descending
|
| >>> df.sort_values(by='col1', ascending=False)
| col1 col2 col3 col4
| 4 D 7 2 e
| 5 C 4 3 F
| 2 B 9 9 c
| 0 A 2 0 a
| 1 A 1 1 B
| 3 NaN 8 4 D
|
| Putting NAs first
|
| >>> df.sort_values(by='col1', ascending=False, na_position='first')
| col1 col2 col3 col4
| 3 NaN 8 4 D
| 4 D 7 2 e
| 5 C 4 3 F
| 2 B 9 9 c
| 0 A 2 0 a
| 1 A 1 1 B
|
| Sorting with a key function
|
| >>> df.sort_values(by='col4', key=lambda col: col.str.lower())
| col1 col2 col3 col4
| 0 A 2 0 a
| 1 A 1 1 B
| 2 B 9 9 c
| 3 NaN 8 4 D
| 4 D 7 2 e
| 5 C 4 3 F
|
| Natural sort with the key argument,
| using the `natsort <https://github.com/SethMMorton/natsort>` package.
|
| >>> df = pd.DataFrame({
| ... "time": ['0hr', '128hr', '72hr', '48hr', '96hr'],
| ... "value": [10, 20, 30, 40, 50]
| ... })
| >>> df
| time value
| 0 0hr 10
| 1 128hr 20
| 2 72hr 30
| 3 48hr 40
| 4 96hr 50
| >>> from natsort import index_natsorted
| >>> df.sort_values(
| ... by="time",
| ... key=lambda x: np.argsort(index_natsorted(df["time"]))
| ... )
| time value
| 0 0hr 10
| 3 48hr 40
| 2 72hr 30
| 4 96hr 50
| 1 128hr 20
|
| stack(self, level: 'Level' = -1, dropna: 'bool' = True)
| Stack the prescribed level(s) from columns to index.
|
| Return a reshaped DataFrame or Series having a multi-level
| index with one or more new inner-most levels compared to the current
| DataFrame. The new inner-most levels are created by pivoting the
| columns of the current dataframe:
|
| - if the columns have a single level, the output is a Series;
| - if the columns have multiple levels, the new index
| level(s) is (are) taken from the prescribed level(s) and
| the output is a DataFrame.
|
| Parameters
| ----------
| level : int, str, list, default -1
| Level(s) to stack from the column axis onto the index
| axis, defined as one index or label, or a list of indices
| or labels.
| dropna : bool, default True
| Whether to drop rows in the resulting Frame/Series with
| missing values. Stacking a column level onto the index
| axis can create combinations of index and column values
| that are missing from the original dataframe. See Examples
| section.
|
| Returns
| -------
| DataFrame or Series
| Stacked dataframe or series.
|
| See Also
| --------
| DataFrame.unstack : Unstack prescribed level(s) from index axis
| onto column axis.
| DataFrame.pivot : Reshape dataframe from long format to wide
| format.
| DataFrame.pivot_table : Create a spreadsheet-style pivot table
| as a DataFrame.
|
| Notes
| -----
| The function is named by analogy with a collection of books
| being reorganized from being side by side on a horizontal
| position (the columns of the dataframe) to being stacked
| vertically on top of each other (in the index of the
| dataframe).
|
| Examples
| --------
| **Single level columns**
|
| >>> df_single_level_cols = pd.DataFrame([[0, 1], [2, 3]],
| ... index=['cat', 'dog'],
| ... columns=['weight', 'height'])
|
| Stacking a dataframe with a single level column axis returns a Series:
|
| >>> df_single_level_cols
| weight height
| cat 0 1
| dog 2 3
| >>> df_single_level_cols.stack()
| cat weight 0
| height 1
| dog weight 2
| height 3
| dtype: int64
|
| **Multi level columns: simple case**
|
| >>> multicol1 = pd.MultiIndex.from_tuples([('weight', 'kg'),
| ... ('weight', 'pounds')])
| >>> df_multi_level_cols1 = pd.DataFrame([[1, 2], [2, 4]],
| ... index=['cat', 'dog'],
| ... columns=multicol1)
|
| Stacking a dataframe with a multi-level column axis:
|
| >>> df_multi_level_cols1
| weight
| kg pounds
| cat 1 2
| dog 2 4
| >>> df_multi_level_cols1.stack()
| weight
| cat kg 1
| pounds 2
| dog kg 2
| pounds 4
|
| **Missing values**
|
| >>> multicol2 = pd.MultiIndex.from_tuples([('weight', 'kg'),
| ... ('height', 'm')])
| >>> df_multi_level_cols2 = pd.DataFrame([[1.0, 2.0], [3.0, 4.0]],
| ... index=['cat', 'dog'],
| ... columns=multicol2)
|
| It is common to have missing values when stacking a dataframe
| with multi-level columns, as the stacked dataframe typically
| has more values than the original dataframe. Missing values
| are filled with NaNs:
|
| >>> df_multi_level_cols2
| weight height
| kg m
| cat 1.0 2.0
| dog 3.0 4.0
| >>> df_multi_level_cols2.stack()
| height weight
| cat kg NaN 1.0
| m 2.0 NaN
| dog kg NaN 3.0
| m 4.0 NaN
|
| **Prescribing the level(s) to be stacked**
|
| The first parameter controls which level or levels are stacked:
|
| >>> df_multi_level_cols2.stack(0)
| kg m
| cat height NaN 2.0
| weight 1.0 NaN
| dog height NaN 4.0
| weight 3.0 NaN
| >>> df_multi_level_cols2.stack([0, 1])
| cat height m 2.0
| weight kg 1.0
| dog height m 4.0
| weight kg 3.0
| dtype: float64
|
| **Dropping missing values**
|
| >>> df_multi_level_cols3 = pd.DataFrame([[None, 1.0], [2.0, 3.0]],
| ... index=['cat', 'dog'],
| ... columns=multicol2)
|
| Note that rows where all values are missing are dropped by
| default but this behaviour can be controlled via the dropna
| keyword parameter:
|
| >>> df_multi_level_cols3
| weight height
| kg m
| cat NaN 1.0
| dog 2.0 3.0
| >>> df_multi_level_cols3.stack(dropna=False)
| height weight
| cat kg NaN NaN
| m 1.0 NaN
| dog kg NaN 2.0
| m 3.0 NaN
| >>> df_multi_level_cols3.stack(dropna=True)
| height weight
| cat m 1.0 NaN
| dog kg NaN 2.0
| m 3.0 NaN
|
| std(self, axis=None, skipna=None, level=None, ddof=1, numeric_only=None, **kwargs)
| Return sample standard deviation over requested axis.
|
| Normalized by N-1 by default. This can be changed using the ddof argument
|
| Parameters
| ----------
| axis : {index (0), columns (1)}
| skipna : bool, default True
| Exclude NA/null values. If an entire row/column is NA, the result
| will be NA.
| level : int or level name, default None
| If the axis is a MultiIndex (hierarchical), count along a
| particular level, collapsing into a Series.
| ddof : int, default 1
| Delta Degrees of Freedom. The divisor used in calculations is N - ddof,
| where N represents the number of elements.
| numeric_only : bool, default None
| Include only float, int, boolean columns. If None, will attempt to use
| everything, then use only numeric data. Not implemented for Series.
|
| Returns
| -------
| Series or DataFrame (if level specified)
|
| Notes
| -----
| To have the same behaviour as `numpy.std`, use `ddof=0` (instead of the
| default `ddof=1`)
|
| sub(self, other, axis='columns', level=None, fill_value=None)
| Get Subtraction of dataframe and other, element-wise (binary operator `sub`).
|
| Equivalent to ``dataframe - other``, but with support to substitute a fill_value
| for missing data in one of the inputs. With reverse version, `rsub`.
|
| Among flexible wrappers (`add`, `sub`, `mul`, `div`, `mod`, `pow`) to
| arithmetic operators: `+`, `-`, `*`, `/`, `//`, `%`, `**`.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns'). For Series input, axis to match Series index on.
| level : int or label
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| fill_value : float or None, default None
| Fill existing missing (NaN) values, and any new element needed for
| successful DataFrame alignment, with this value before computation.
| If data in both corresponding DataFrame locations is missing
| the result will be missing.
|
| Returns
| -------
| DataFrame
| Result of the arithmetic operation.
|
| See Also
| --------
| DataFrame.add : Add DataFrames.
| DataFrame.sub : Subtract DataFrames.
| DataFrame.mul : Multiply DataFrames.
| DataFrame.div : Divide DataFrames (float division).
| DataFrame.truediv : Divide DataFrames (float division).
| DataFrame.floordiv : Divide DataFrames (integer division).
| DataFrame.mod : Calculate modulo (remainder after division).
| DataFrame.pow : Calculate exponential power.
|
| Notes
| -----
| Mismatched indices will be unioned together.
|
| Examples
| --------
| >>> df = pd.DataFrame({'angles': [0, 3, 4],
| ... 'degrees': [360, 180, 360]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> df
| angles degrees
| circle 0 360
| triangle 3 180
| rectangle 4 360
|
| Add a scalar with operator version which return the same
| results.
|
| >>> df + 1
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| >>> df.add(1)
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| Divide by constant with reverse version.
|
| >>> df.div(10)
| angles degrees
| circle 0.0 36.0
| triangle 0.3 18.0
| rectangle 0.4 36.0
|
| >>> df.rdiv(10)
| angles degrees
| circle inf 0.027778
| triangle 3.333333 0.055556
| rectangle 2.500000 0.027778
|
| Subtract a list and Series by axis with operator version.
|
| >>> df - [1, 2]
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub([1, 2], axis='columns')
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub(pd.Series([1, 1, 1], index=['circle', 'triangle', 'rectangle']),
| ... axis='index')
| angles degrees
| circle -1 359
| triangle 2 179
| rectangle 3 359
|
| Multiply a DataFrame of different shape with operator version.
|
| >>> other = pd.DataFrame({'angles': [0, 3, 4]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> other
| angles
| circle 0
| triangle 3
| rectangle 4
|
| >>> df * other
| angles degrees
| circle 0 NaN
| triangle 9 NaN
| rectangle 16 NaN
|
| >>> df.mul(other, fill_value=0)
| angles degrees
| circle 0 0.0
| triangle 9 0.0
| rectangle 16 0.0
|
| Divide by a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'angles': [0, 3, 4, 4, 5, 6],
| ... 'degrees': [360, 180, 360, 360, 540, 720]},
| ... index=[['A', 'A', 'A', 'B', 'B', 'B'],
| ... ['circle', 'triangle', 'rectangle',
| ... 'square', 'pentagon', 'hexagon']])
| >>> df_multindex
| angles degrees
| A circle 0 360
| triangle 3 180
| rectangle 4 360
| B square 4 360
| pentagon 5 540
| hexagon 6 720
|
| >>> df.div(df_multindex, level=1, fill_value=0)
| angles degrees
| A circle NaN 1.0
| triangle 1.0 1.0
| rectangle 1.0 1.0
| B square 0.0 0.0
| pentagon 0.0 0.0
| hexagon 0.0 0.0
|
| subtract = sub(self, other, axis='columns', level=None, fill_value=None)
|
| sum(self, axis=None, skipna=None, level=None, numeric_only=None, min_count=0, **kwargs)
| Return the sum of the values over the requested axis.
|
| This is equivalent to the method ``numpy.sum``.
|
| Parameters
| ----------
| axis : {index (0), columns (1)}
| Axis for the function to be applied on.
| skipna : bool, default True
| Exclude NA/null values when computing the result.
| level : int or level name, default None
| If the axis is a MultiIndex (hierarchical), count along a
| particular level, collapsing into a Series.
| numeric_only : bool, default None
| Include only float, int, boolean columns. If None, will attempt to use
| everything, then use only numeric data. Not implemented for Series.
| min_count : int, default 0
| The required number of valid values to perform the operation. If fewer than
| ``min_count`` non-NA values are present the result will be NA.
| **kwargs
| Additional keyword arguments to be passed to the function.
|
| Returns
| -------
| Series or DataFrame (if level specified)
|
| See Also
| --------
| Series.sum : Return the sum.
| Series.min : Return the minimum.
| Series.max : Return the maximum.
| Series.idxmin : Return the index of the minimum.
| Series.idxmax : Return the index of the maximum.
| DataFrame.sum : Return the sum over the requested axis.
| DataFrame.min : Return the minimum over the requested axis.
| DataFrame.max : Return the maximum over the requested axis.
| DataFrame.idxmin : Return the index of the minimum over the requested axis.
| DataFrame.idxmax : Return the index of the maximum over the requested axis.
|
| Examples
| --------
| >>> idx = pd.MultiIndex.from_arrays([
| ... ['warm', 'warm', 'cold', 'cold'],
| ... ['dog', 'falcon', 'fish', 'spider']],
| ... names=['blooded', 'animal'])
| >>> s = pd.Series([4, 2, 0, 8], name='legs', index=idx)
| >>> s
| blooded animal
| warm dog 4
| falcon 2
| cold fish 0
| spider 8
| Name: legs, dtype: int64
|
| >>> s.sum()
| 14
|
| By default, the sum of an empty or all-NA Series is ``0``.
|
| >>> pd.Series([], dtype="float64").sum() # min_count=0 is the default
| 0.0
|
| This can be controlled with the ``min_count`` parameter. For example, if
| you'd like the sum of an empty series to be NaN, pass ``min_count=1``.
|
| >>> pd.Series([], dtype="float64").sum(min_count=1)
| nan
|
| Thanks to the ``skipna`` parameter, ``min_count`` handles all-NA and
| empty series identically.
|
| >>> pd.Series([np.nan]).sum()
| 0.0
|
| >>> pd.Series([np.nan]).sum(min_count=1)
| nan
|
| swaplevel(self, i: 'Axis' = -2, j: 'Axis' = -1, axis: 'Axis' = 0) -> 'DataFrame'
| Swap levels i and j in a :class:`MultiIndex`.
|
| Default is to swap the two innermost levels of the index.
|
| Parameters
| ----------
| i, j : int or str
| Levels of the indices to be swapped. Can pass level name as string.
| axis : {0 or 'index', 1 or 'columns'}, default 0
| The axis to swap levels on. 0 or 'index' for row-wise, 1 or
| 'columns' for column-wise.
|
| Returns
| -------
| DataFrame
| DataFrame with levels swapped in MultiIndex.
|
| Examples
| --------
| >>> df = pd.DataFrame(
| ... {"Grade": ["A", "B", "A", "C"]},
| ... index=[
| ... ["Final exam", "Final exam", "Coursework", "Coursework"],
| ... ["History", "Geography", "History", "Geography"],
| ... ["January", "February", "March", "April"],
| ... ],
| ... )
| >>> df
| Grade
| Final exam History January A
| Geography February B
| Coursework History March A
| Geography April C
|
| In the following example, we will swap the levels of the indices.
| Here, we will swap the levels column-wise, but levels can be swapped row-wise
| in a similar manner. Note that column-wise is the default behaviour.
| By not supplying any arguments for i and j, we swap the last and second to
| last indices.
|
| >>> df.swaplevel()
| Grade
| Final exam January History A
| February Geography B
| Coursework March History A
| April Geography C
|
| By supplying one argument, we can choose which index to swap the last
| index with. We can for example swap the first index with the last one as
| follows.
|
| >>> df.swaplevel(0)
| Grade
| January History Final exam A
| February Geography Final exam B
| March History Coursework A
| April Geography Coursework C
|
| We can also define explicitly which indices we want to swap by supplying values
| for both i and j. Here, we for example swap the first and second indices.
|
| >>> df.swaplevel(0, 1)
| Grade
| History Final exam January A
| Geography Final exam February B
| History Coursework March A
| Geography Coursework April C
|
| to_dict(self, orient: 'str' = 'dict', into=<class 'dict'>)
| Convert the DataFrame to a dictionary.
|
| The type of the key-value pairs can be customized with the parameters
| (see below).
|
| Parameters
| ----------
| orient : str {'dict', 'list', 'series', 'split', 'records', 'index'}
| Determines the type of the values of the dictionary.
|
| - 'dict' (default) : dict like {column -> {index -> value}}
| - 'list' : dict like {column -> [values]}
| - 'series' : dict like {column -> Series(values)}
| - 'split' : dict like
| {'index' -> [index], 'columns' -> [columns], 'data' -> [values]}
| - 'records' : list like
| [{column -> value}, ... , {column -> value}]
| - 'index' : dict like {index -> {column -> value}}
|
| Abbreviations are allowed. `s` indicates `series` and `sp`
| indicates `split`.
|
| into : class, default dict
| The collections.abc.Mapping subclass used for all Mappings
| in the return value. Can be the actual class or an empty
| instance of the mapping type you want. If you want a
| collections.defaultdict, you must pass it initialized.
|
| Returns
| -------
| dict, list or collections.abc.Mapping
| Return a collections.abc.Mapping object representing the DataFrame.
| The resulting transformation depends on the `orient` parameter.
|
| See Also
| --------
| DataFrame.from_dict: Create a DataFrame from a dictionary.
| DataFrame.to_json: Convert a DataFrame to JSON format.
|
| Examples
| --------
| >>> df = pd.DataFrame({'col1': [1, 2],
| ... 'col2': [0.5, 0.75]},
| ... index=['row1', 'row2'])
| >>> df
| col1 col2
| row1 1 0.50
| row2 2 0.75
| >>> df.to_dict()
| {'col1': {'row1': 1, 'row2': 2}, 'col2': {'row1': 0.5, 'row2': 0.75}}
|
| You can specify the return orientation.
|
| >>> df.to_dict('series')
| {'col1': row1 1
| row2 2
| Name: col1, dtype: int64,
| 'col2': row1 0.50
| row2 0.75
| Name: col2, dtype: float64}
|
| >>> df.to_dict('split')
| {'index': ['row1', 'row2'], 'columns': ['col1', 'col2'],
| 'data': [[1, 0.5], [2, 0.75]]}
|
| >>> df.to_dict('records')
| [{'col1': 1, 'col2': 0.5}, {'col1': 2, 'col2': 0.75}]
|
| >>> df.to_dict('index')
| {'row1': {'col1': 1, 'col2': 0.5}, 'row2': {'col1': 2, 'col2': 0.75}}
|
| You can also specify the mapping type.
|
| >>> from collections import OrderedDict, defaultdict
| >>> df.to_dict(into=OrderedDict)
| OrderedDict([('col1', OrderedDict([('row1', 1), ('row2', 2)])),
| ('col2', OrderedDict([('row1', 0.5), ('row2', 0.75)]))])
|
| If you want a `defaultdict`, you need to initialize it:
|
| >>> dd = defaultdict(list)
| >>> df.to_dict('records', into=dd)
| [defaultdict(<class 'list'>, {'col1': 1, 'col2': 0.5}),
| defaultdict(<class 'list'>, {'col1': 2, 'col2': 0.75})]
|
| to_feather(self, path: 'FilePathOrBuffer[AnyStr]', **kwargs) -> 'None'
| Write a DataFrame to the binary Feather format.
|
| Parameters
| ----------
| path : str or file-like object
| If a string, it will be used as Root Directory path.
| **kwargs :
| Additional keywords passed to :func:`pyarrow.feather.write_feather`.
| Starting with pyarrow 0.17, this includes the `compression`,
| `compression_level`, `chunksize` and `version` keywords.
|
| .. versionadded:: 1.1.0
|
| to_gbq(self, destination_table: 'str', project_id: 'str | None' = None, chunksize: 'int | None' = None, reauth: 'bool' = False, if_exists: 'str' = 'fail', auth_local_webserver: 'bool' = False, table_schema: 'list[dict[str, str]] | None' = None, location: 'str | None' = None, progress_bar: 'bool' = True, credentials=None) -> 'None'
| Write a DataFrame to a Google BigQuery table.
|
| This function requires the `pandas-gbq package
| <https://pandas-gbq.readthedocs.io>`__.
|
| See the `How to authenticate with Google BigQuery
| <https://pandas-gbq.readthedocs.io/en/latest/howto/authentication.html>`__
| guide for authentication instructions.
|
| Parameters
| ----------
| destination_table : str
| Name of table to be written, in the form ``dataset.tablename``.
| project_id : str, optional
| Google BigQuery Account project ID. Optional when available from
| the environment.
| chunksize : int, optional
| Number of rows to be inserted in each chunk from the dataframe.
| Set to ``None`` to load the whole dataframe at once.
| reauth : bool, default False
| Force Google BigQuery to re-authenticate the user. This is useful
| if multiple accounts are used.
| if_exists : str, default 'fail'
| Behavior when the destination table exists. Value can be one of:
|
| ``'fail'``
| If table exists raise pandas_gbq.gbq.TableCreationError.
| ``'replace'``
| If table exists, drop it, recreate it, and insert data.
| ``'append'``
| If table exists, insert data. Create if does not exist.
| auth_local_webserver : bool, default False
| Use the `local webserver flow`_ instead of the `console flow`_
| when getting user credentials.
|
| .. _local webserver flow:
| https://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_local_server
| .. _console flow:
| https://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_console
|
| *New in version 0.2.0 of pandas-gbq*.
| table_schema : list of dicts, optional
| List of BigQuery table fields to which according DataFrame
| columns conform to, e.g. ``[{'name': 'col1', 'type':
| 'STRING'},...]``. If schema is not provided, it will be
| generated according to dtypes of DataFrame columns. See
| BigQuery API documentation on available names of a field.
|
| *New in version 0.3.1 of pandas-gbq*.
| location : str, optional
| Location where the load job should run. See the `BigQuery locations
| documentation
| <https://cloud.google.com/bigquery/docs/dataset-locations>`__ for a
| list of available locations. The location must match that of the
| target dataset.
|
| *New in version 0.5.0 of pandas-gbq*.
| progress_bar : bool, default True
| Use the library `tqdm` to show the progress bar for the upload,
| chunk by chunk.
|
| *New in version 0.5.0 of pandas-gbq*.
| credentials : google.auth.credentials.Credentials, optional
| Credentials for accessing Google APIs. Use this parameter to
| override default credentials, such as to use Compute Engine
| :class:`google.auth.compute_engine.Credentials` or Service
| Account :class:`google.oauth2.service_account.Credentials`
| directly.
|
| *New in version 0.8.0 of pandas-gbq*.
|
| See Also
| --------
| pandas_gbq.to_gbq : This function in the pandas-gbq library.
| read_gbq : Read a DataFrame from Google BigQuery.
|
| to_html(self, buf: 'FilePathOrBuffer[str] | None' = None, columns: 'Sequence[str] | None' = None, col_space: 'ColspaceArgType | None' = None, header: 'bool | Sequence[str]' = True, index: 'bool' = True, na_rep: 'str' = 'NaN', formatters: 'FormattersType | None' = None, float_format: 'FloatFormatType | None' = None, sparsify: 'bool | None' = None, index_names: 'bool' = True, justify: 'str | None' = None, max_rows: 'int | None' = None, max_cols: 'int | None' = None, show_dimensions: 'bool | str' = False, decimal: 'str' = '.', bold_rows: 'bool' = True, classes: 'str | list | tuple | None' = None, escape: 'bool' = True, notebook: 'bool' = False, border: 'int | None' = None, table_id: 'str | None' = None, render_links: 'bool' = False, encoding: 'str | None' = None)
| Render a DataFrame as an HTML table.
|
| Parameters
| ----------
| buf : str, Path or StringIO-like, optional, default None
| Buffer to write to. If None, the output is returned as a string.
| columns : sequence, optional, default None
| The subset of columns to write. Writes all columns by default.
| col_space : str or int, list or dict of int or str, optional
| The minimum width of each column in CSS length units. An int is assumed to be px units.
|
| .. versionadded:: 0.25.0
| Ability to use str.
| header : bool, optional
| Whether to print column labels, default True.
| index : bool, optional, default True
| Whether to print index (row) labels.
| na_rep : str, optional, default 'NaN'
| String representation of ``NaN`` to use.
| formatters : list, tuple or dict of one-param. functions, optional
| Formatter functions to apply to columns' elements by position or
| name.
| The result of each function must be a unicode string.
| List/tuple must be of length equal to the number of columns.
| float_format : one-parameter function, optional, default None
| Formatter function to apply to columns' elements if they are
| floats. This function must return a unicode string and will be
| applied only to the non-``NaN`` elements, with ``NaN`` being
| handled by ``na_rep``.
|
| .. versionchanged:: 1.2.0
|
| sparsify : bool, optional, default True
| Set to False for a DataFrame with a hierarchical index to print
| every multiindex key at each row.
| index_names : bool, optional, default True
| Prints the names of the indexes.
| justify : str, default None
| How to justify the column labels. If None uses the option from
| the print configuration (controlled by set_option), 'right' out
| of the box. Valid values are
|
| * left
| * right
| * center
| * justify
| * justify-all
| * start
| * end
| * inherit
| * match-parent
| * initial
| * unset.
| max_rows : int, optional
| Maximum number of rows to display in the console.
| min_rows : int, optional
| The number of rows to display in the console in a truncated repr
| (when number of rows is above `max_rows`).
| max_cols : int, optional
| Maximum number of columns to display in the console.
| show_dimensions : bool, default False
| Display DataFrame dimensions (number of rows by number of columns).
| decimal : str, default '.'
| Character recognized as decimal separator, e.g. ',' in Europe.
|
| bold_rows : bool, default True
| Make the row labels bold in the output.
| classes : str or list or tuple, default None
| CSS class(es) to apply to the resulting html table.
| escape : bool, default True
| Convert the characters <, >, and & to HTML-safe sequences.
| notebook : {True, False}, default False
| Whether the generated HTML is for IPython Notebook.
| border : int
| A ``border=border`` attribute is included in the opening
| `<table>` tag. Default ``pd.options.display.html.border``.
| encoding : str, default "utf-8"
| Set character encoding.
|
| .. versionadded:: 1.0
|
| table_id : str, optional
| A css id is included in the opening `<table>` tag if specified.
| render_links : bool, default False
| Convert URLs to HTML links.
|
| Returns
| -------
| str or None
| If buf is None, returns the result as a string. Otherwise returns
| None.
|
| See Also
| --------
| to_string : Convert DataFrame to a string.
|
| to_markdown(self, buf: 'IO[str] | str | None' = None, mode: 'str' = 'wt', index: 'bool' = True, storage_options: 'StorageOptions' = None, **kwargs) -> 'str | None'
| Print DataFrame in Markdown-friendly format.
|
| .. versionadded:: 1.0.0
|
| Parameters
| ----------
| buf : str, Path or StringIO-like, optional, default None
| Buffer to write to. If None, the output is returned as a string.
| mode : str, optional
| Mode in which file is opened, "wt" by default.
| index : bool, optional, default True
| Add index (row) labels.
|
| .. versionadded:: 1.1.0
| storage_options : dict, optional
| Extra options that make sense for a particular storage connection, e.g.
| host, port, username, password, etc. For HTTP(S) URLs the key-value pairs
| are forwarded to ``urllib`` as header options. For other URLs (e.g.
| starting with "s3://", and "gcs://") the key-value pairs are forwarded to
| ``fsspec``. Please see ``fsspec`` and ``urllib`` for more details.
|
| .. versionadded:: 1.2.0
|
| **kwargs
| These parameters will be passed to `tabulate <https://pypi.org/project/tabulate>`_.
|
| Returns
| -------
| str
| DataFrame in Markdown-friendly format.
|
| Notes
| -----
| Requires the `tabulate <https://pypi.org/project/tabulate>`_ package.
|
| Examples
| --------
| >>> s = pd.Series(["elk", "pig", "dog", "quetzal"], name="animal")
| >>> print(s.to_markdown())
| | | animal |
| |---:|:---------|
| | 0 | elk |
| | 1 | pig |
| | 2 | dog |
| | 3 | quetzal |
|
| Output markdown with a tabulate option.
|
| >>> print(s.to_markdown(tablefmt="grid"))
| +----+----------+
| | | animal |
| +====+==========+
| | 0 | elk |
| +----+----------+
| | 1 | pig |
| +----+----------+
| | 2 | dog |
| +----+----------+
| | 3 | quetzal |
| +----+----------+
|
| to_numpy(self, dtype: 'NpDtype | None' = None, copy: 'bool' = False, na_value=<no_default>) -> 'np.ndarray'
| Convert the DataFrame to a NumPy array.
|
| By default, the dtype of the returned array will be the common NumPy
| dtype of all types in the DataFrame. For example, if the dtypes are
| ``float16`` and ``float32``, the results dtype will be ``float32``.
| This may require copying data and coercing values, which may be
| expensive.
|
| Parameters
| ----------
| dtype : str or numpy.dtype, optional
| The dtype to pass to :meth:`numpy.asarray`.
| copy : bool, default False
| Whether to ensure that the returned value is not a view on
| another array. Note that ``copy=False`` does not *ensure* that
| ``to_numpy()`` is no-copy. Rather, ``copy=True`` ensure that
| a copy is made, even if not strictly necessary.
| na_value : Any, optional
| The value to use for missing values. The default value depends
| on `dtype` and the dtypes of the DataFrame columns.
|
| .. versionadded:: 1.1.0
|
| Returns
| -------
| numpy.ndarray
|
| See Also
| --------
| Series.to_numpy : Similar method for Series.
|
| Examples
| --------
| >>> pd.DataFrame({"A": [1, 2], "B": [3, 4]}).to_numpy()
| array([[1, 3],
| [2, 4]])
|
| With heterogeneous data, the lowest common type will have to
| be used.
|
| >>> df = pd.DataFrame({"A": [1, 2], "B": [3.0, 4.5]})
| >>> df.to_numpy()
| array([[1. , 3. ],
| [2. , 4.5]])
|
| For a mix of numeric and non-numeric types, the output array will
| have object dtype.
|
| >>> df['C'] = pd.date_range('2000', periods=2)
| >>> df.to_numpy()
| array([[1, 3.0, Timestamp('2000-01-01 00:00:00')],
| [2, 4.5, Timestamp('2000-01-02 00:00:00')]], dtype=object)
|
| to_parquet(self, path: 'FilePathOrBuffer | None' = None, engine: 'str' = 'auto', compression: 'str | None' = 'snappy', index: 'bool | None' = None, partition_cols: 'list[str] | None' = None, storage_options: 'StorageOptions' = None, **kwargs) -> 'bytes | None'
| Write a DataFrame to the binary parquet format.
|
| This function writes the dataframe as a `parquet file
| <https://parquet.apache.org/>`_. You can choose different parquet
| backends, and have the option of compression. See
| :ref:`the user guide <io.parquet>` for more details.
|
| Parameters
| ----------
| path : str or file-like object, default None
| If a string, it will be used as Root Directory path
| when writing a partitioned dataset. By file-like object,
| we refer to objects with a write() method, such as a file handle
| (e.g. via builtin open function) or io.BytesIO. The engine
| fastparquet does not accept file-like objects. If path is None,
| a bytes object is returned.
|
| .. versionchanged:: 1.2.0
|
| Previously this was "fname"
|
| engine : {'auto', 'pyarrow', 'fastparquet'}, default 'auto'
| Parquet library to use. If 'auto', then the option
| ``io.parquet.engine`` is used. The default ``io.parquet.engine``
| behavior is to try 'pyarrow', falling back to 'fastparquet' if
| 'pyarrow' is unavailable.
| compression : {'snappy', 'gzip', 'brotli', None}, default 'snappy'
| Name of the compression to use. Use ``None`` for no compression.
| index : bool, default None
| If ``True``, include the dataframe's index(es) in the file output.
| If ``False``, they will not be written to the file.
| If ``None``, similar to ``True`` the dataframe's index(es)
| will be saved. However, instead of being saved as values,
| the RangeIndex will be stored as a range in the metadata so it
| doesn't require much space and is faster. Other indexes will
| be included as columns in the file output.
| partition_cols : list, optional, default None
| Column names by which to partition the dataset.
| Columns are partitioned in the order they are given.
| Must be None if path is not a string.
| storage_options : dict, optional
| Extra options that make sense for a particular storage connection, e.g.
| host, port, username, password, etc. For HTTP(S) URLs the key-value pairs
| are forwarded to ``urllib`` as header options. For other URLs (e.g.
| starting with "s3://", and "gcs://") the key-value pairs are forwarded to
| ``fsspec``. Please see ``fsspec`` and ``urllib`` for more details.
|
| .. versionadded:: 1.2.0
|
| **kwargs
| Additional arguments passed to the parquet library. See
| :ref:`pandas io <io.parquet>` for more details.
|
| Returns
| -------
| bytes if no path argument is provided else None
|
| See Also
| --------
| read_parquet : Read a parquet file.
| DataFrame.to_csv : Write a csv file.
| DataFrame.to_sql : Write to a sql table.
| DataFrame.to_hdf : Write to hdf.
|
| Notes
| -----
| This function requires either the `fastparquet
| <https://pypi.org/project/fastparquet>`_ or `pyarrow
| <https://arrow.apache.org/docs/python/>`_ library.
|
| Examples
| --------
| >>> df = pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]})
| >>> df.to_parquet('df.parquet.gzip',
| ... compression='gzip') # doctest: +SKIP
| >>> pd.read_parquet('df.parquet.gzip') # doctest: +SKIP
| col1 col2
| 0 1 3
| 1 2 4
|
| If you want to get a buffer to the parquet content you can use a io.BytesIO
| object, as long as you don't use partition_cols, which creates multiple files.
|
| >>> import io
| >>> f = io.BytesIO()
| >>> df.to_parquet(f)
| >>> f.seek(0)
| 0
| >>> content = f.read()
|
| to_period(self, freq: 'Frequency | None' = None, axis: 'Axis' = 0, copy: 'bool' = True) -> 'DataFrame'
| Convert DataFrame from DatetimeIndex to PeriodIndex.
|
| Convert DataFrame from DatetimeIndex to PeriodIndex with desired
| frequency (inferred from index if not passed).
|
| Parameters
| ----------
| freq : str, default
| Frequency of the PeriodIndex.
| axis : {0 or 'index', 1 or 'columns'}, default 0
| The axis to convert (the index by default).
| copy : bool, default True
| If False then underlying input data is not copied.
|
| Returns
| -------
| DataFrame with PeriodIndex
|
| to_records(self, index=True, column_dtypes=None, index_dtypes=None) -> 'np.recarray'
| Convert DataFrame to a NumPy record array.
|
| Index will be included as the first field of the record array if
| requested.
|
| Parameters
| ----------
| index : bool, default True
| Include index in resulting record array, stored in 'index'
| field or using the index label, if set.
| column_dtypes : str, type, dict, default None
| If a string or type, the data type to store all columns. If
| a dictionary, a mapping of column names and indices (zero-indexed)
| to specific data types.
| index_dtypes : str, type, dict, default None
| If a string or type, the data type to store all index levels. If
| a dictionary, a mapping of index level names and indices
| (zero-indexed) to specific data types.
|
| This mapping is applied only if `index=True`.
|
| Returns
| -------
| numpy.recarray
| NumPy ndarray with the DataFrame labels as fields and each row
| of the DataFrame as entries.
|
| See Also
| --------
| DataFrame.from_records: Convert structured or record ndarray
| to DataFrame.
| numpy.recarray: An ndarray that allows field access using
| attributes, analogous to typed columns in a
| spreadsheet.
|
| Examples
| --------
| >>> df = pd.DataFrame({'A': [1, 2], 'B': [0.5, 0.75]},
| ... index=['a', 'b'])
| >>> df
| A B
| a 1 0.50
| b 2 0.75
| >>> df.to_records()
| rec.array([('a', 1, 0.5 ), ('b', 2, 0.75)],
| dtype=[('index', 'O'), ('A', '<i8'), ('B', '<f8')])
|
| If the DataFrame index has no label then the recarray field name
| is set to 'index'. If the index has a label then this is used as the
| field name:
|
| >>> df.index = df.index.rename("I")
| >>> df.to_records()
| rec.array([('a', 1, 0.5 ), ('b', 2, 0.75)],
| dtype=[('I', 'O'), ('A', '<i8'), ('B', '<f8')])
|
| The index can be excluded from the record array:
|
| >>> df.to_records(index=False)
| rec.array([(1, 0.5 ), (2, 0.75)],
| dtype=[('A', '<i8'), ('B', '<f8')])
|
| Data types can be specified for the columns:
|
| >>> df.to_records(column_dtypes={"A": "int32"})
| rec.array([('a', 1, 0.5 ), ('b', 2, 0.75)],
| dtype=[('I', 'O'), ('A', '<i4'), ('B', '<f8')])
|
| As well as for the index:
|
| >>> df.to_records(index_dtypes="<S2")
| rec.array([(b'a', 1, 0.5 ), (b'b', 2, 0.75)],
| dtype=[('I', 'S2'), ('A', '<i8'), ('B', '<f8')])
|
| >>> index_dtypes = f"<S{df.index.str.len().max()}"
| >>> df.to_records(index_dtypes=index_dtypes)
| rec.array([(b'a', 1, 0.5 ), (b'b', 2, 0.75)],
| dtype=[('I', 'S1'), ('A', '<i8'), ('B', '<f8')])
|
| to_stata(self, path: 'FilePathOrBuffer', convert_dates: 'dict[Hashable, str] | None' = None, write_index: 'bool' = True, byteorder: 'str | None' = None, time_stamp: 'datetime.datetime | None' = None, data_label: 'str | None' = None, variable_labels: 'dict[Hashable, str] | None' = None, version: 'int | None' = 114, convert_strl: 'Sequence[Hashable] | None' = None, compression: 'CompressionOptions' = 'infer', storage_options: 'StorageOptions' = None) -> 'None'
| Export DataFrame object to Stata dta format.
|
| Writes the DataFrame to a Stata dataset file.
| "dta" files contain a Stata dataset.
|
| Parameters
| ----------
| path : str, buffer or path object
| String, path object (pathlib.Path or py._path.local.LocalPath) or
| object implementing a binary write() function. If using a buffer
| then the buffer will not be automatically closed after the file
| data has been written.
|
| .. versionchanged:: 1.0.0
|
| Previously this was "fname"
|
| convert_dates : dict
| Dictionary mapping columns containing datetime types to stata
| internal format to use when writing the dates. Options are 'tc',
| 'td', 'tm', 'tw', 'th', 'tq', 'ty'. Column can be either an integer
| or a name. Datetime columns that do not have a conversion type
| specified will be converted to 'tc'. Raises NotImplementedError if
| a datetime column has timezone information.
| write_index : bool
| Write the index to Stata dataset.
| byteorder : str
| Can be ">", "<", "little", or "big". default is `sys.byteorder`.
| time_stamp : datetime
| A datetime to use as file creation date. Default is the current
| time.
| data_label : str, optional
| A label for the data set. Must be 80 characters or smaller.
| variable_labels : dict
| Dictionary containing columns as keys and variable labels as
| values. Each label must be 80 characters or smaller.
| version : {114, 117, 118, 119, None}, default 114
| Version to use in the output dta file. Set to None to let pandas
| decide between 118 or 119 formats depending on the number of
| columns in the frame. Version 114 can be read by Stata 10 and
| later. Version 117 can be read by Stata 13 or later. Version 118
| is supported in Stata 14 and later. Version 119 is supported in
| Stata 15 and later. Version 114 limits string variables to 244
| characters or fewer while versions 117 and later allow strings
| with lengths up to 2,000,000 characters. Versions 118 and 119
| support Unicode characters, and version 119 supports more than
| 32,767 variables.
|
| Version 119 should usually only be used when the number of
| variables exceeds the capacity of dta format 118. Exporting
| smaller datasets in format 119 may have unintended consequences,
| and, as of November 2020, Stata SE cannot read version 119 files.
|
| .. versionchanged:: 1.0.0
|
| Added support for formats 118 and 119.
|
| convert_strl : list, optional
| List of column names to convert to string columns to Stata StrL
| format. Only available if version is 117. Storing strings in the
| StrL format can produce smaller dta files if strings have more than
| 8 characters and values are repeated.
| compression : str or dict, default 'infer'
| For on-the-fly compression of the output dta. If string, specifies
| compression mode. If dict, value at key 'method' specifies
| compression mode. Compression mode must be one of {'infer', 'gzip',
| 'bz2', 'zip', 'xz', None}. If compression mode is 'infer' and
| `fname` is path-like, then detect compression from the following
| extensions: '.gz', '.bz2', '.zip', or '.xz' (otherwise no
| compression). If dict and compression mode is one of {'zip',
| 'gzip', 'bz2'}, or inferred as one of the above, other entries
| passed as additional compression options.
|
| .. versionadded:: 1.1.0
|
| storage_options : dict, optional
| Extra options that make sense for a particular storage connection, e.g.
| host, port, username, password, etc. For HTTP(S) URLs the key-value pairs
| are forwarded to ``urllib`` as header options. For other URLs (e.g.
| starting with "s3://", and "gcs://") the key-value pairs are forwarded to
| ``fsspec``. Please see ``fsspec`` and ``urllib`` for more details.
|
| .. versionadded:: 1.2.0
|
| Raises
| ------
| NotImplementedError
| * If datetimes contain timezone information
| * Column dtype is not representable in Stata
| ValueError
| * Columns listed in convert_dates are neither datetime64[ns]
| or datetime.datetime
| * Column listed in convert_dates is not in DataFrame
| * Categorical label contains more than 32,000 characters
|
| See Also
| --------
| read_stata : Import Stata data files.
| io.stata.StataWriter : Low-level writer for Stata data files.
| io.stata.StataWriter117 : Low-level writer for version 117 files.
|
| Examples
| --------
| >>> df = pd.DataFrame({'animal': ['falcon', 'parrot', 'falcon',
| ... 'parrot'],
| ... 'speed': [350, 18, 361, 15]})
| >>> df.to_stata('animals.dta') # doctest: +SKIP
|
| to_string(self, buf: 'FilePathOrBuffer[str] | None' = None, columns: 'Sequence[str] | None' = None, col_space: 'int | None' = None, header: 'bool | Sequence[str]' = True, index: 'bool' = True, na_rep: 'str' = 'NaN', formatters: 'fmt.FormattersType | None' = None, float_format: 'fmt.FloatFormatType | None' = None, sparsify: 'bool | None' = None, index_names: 'bool' = True, justify: 'str | None' = None, max_rows: 'int | None' = None, min_rows: 'int | None' = None, max_cols: 'int | None' = None, show_dimensions: 'bool' = False, decimal: 'str' = '.', line_width: 'int | None' = None, max_colwidth: 'int | None' = None, encoding: 'str | None' = None) -> 'str | None'
| Render a DataFrame to a console-friendly tabular output.
|
| Parameters
| ----------
| buf : str, Path or StringIO-like, optional, default None
| Buffer to write to. If None, the output is returned as a string.
| columns : sequence, optional, default None
| The subset of columns to write. Writes all columns by default.
| col_space : int, list or dict of int, optional
| The minimum width of each column.
| header : bool or sequence, optional
| Write out the column names. If a list of strings is given, it is assumed to be aliases for the column names.
| index : bool, optional, default True
| Whether to print index (row) labels.
| na_rep : str, optional, default 'NaN'
| String representation of ``NaN`` to use.
| formatters : list, tuple or dict of one-param. functions, optional
| Formatter functions to apply to columns' elements by position or
| name.
| The result of each function must be a unicode string.
| List/tuple must be of length equal to the number of columns.
| float_format : one-parameter function, optional, default None
| Formatter function to apply to columns' elements if they are
| floats. This function must return a unicode string and will be
| applied only to the non-``NaN`` elements, with ``NaN`` being
| handled by ``na_rep``.
|
| .. versionchanged:: 1.2.0
|
| sparsify : bool, optional, default True
| Set to False for a DataFrame with a hierarchical index to print
| every multiindex key at each row.
| index_names : bool, optional, default True
| Prints the names of the indexes.
| justify : str, default None
| How to justify the column labels. If None uses the option from
| the print configuration (controlled by set_option), 'right' out
| of the box. Valid values are
|
| * left
| * right
| * center
| * justify
| * justify-all
| * start
| * end
| * inherit
| * match-parent
| * initial
| * unset.
| max_rows : int, optional
| Maximum number of rows to display in the console.
| min_rows : int, optional
| The number of rows to display in the console in a truncated repr
| (when number of rows is above `max_rows`).
| max_cols : int, optional
| Maximum number of columns to display in the console.
| show_dimensions : bool, default False
| Display DataFrame dimensions (number of rows by number of columns).
| decimal : str, default '.'
| Character recognized as decimal separator, e.g. ',' in Europe.
|
| line_width : int, optional
| Width to wrap a line in characters.
| max_colwidth : int, optional
| Max width to truncate each column in characters. By default, no limit.
|
| .. versionadded:: 1.0.0
| encoding : str, default "utf-8"
| Set character encoding.
|
| .. versionadded:: 1.0
|
| Returns
| -------
| str or None
| If buf is None, returns the result as a string. Otherwise returns
| None.
|
| See Also
| --------
| to_html : Convert DataFrame to HTML.
|
| Examples
| --------
| >>> d = {'col1': [1, 2, 3], 'col2': [4, 5, 6]}
| >>> df = pd.DataFrame(d)
| >>> print(df.to_string())
| col1 col2
| 0 1 4
| 1 2 5
| 2 3 6
|
| to_timestamp(self, freq: 'Frequency | None' = None, how: 'str' = 'start', axis: 'Axis' = 0, copy: 'bool' = True) -> 'DataFrame'
| Cast to DatetimeIndex of timestamps, at *beginning* of period.
|
| Parameters
| ----------
| freq : str, default frequency of PeriodIndex
| Desired frequency.
| how : {'s', 'e', 'start', 'end'}
| Convention for converting period to timestamp; start of period
| vs. end.
| axis : {0 or 'index', 1 or 'columns'}, default 0
| The axis to convert (the index by default).
| copy : bool, default True
| If False then underlying input data is not copied.
|
| Returns
| -------
| DataFrame with DatetimeIndex
|
| to_xml(self, path_or_buffer: 'FilePathOrBuffer | None' = None, index: 'bool' = True, root_name: 'str | None' = 'data', row_name: 'str | None' = 'row', na_rep: 'str | None' = None, attr_cols: 'str | list[str] | None' = None, elem_cols: 'str | list[str] | None' = None, namespaces: 'dict[str | None, str] | None' = None, prefix: 'str | None' = None, encoding: 'str' = 'utf-8', xml_declaration: 'bool | None' = True, pretty_print: 'bool | None' = True, parser: 'str | None' = 'lxml', stylesheet: 'FilePathOrBuffer | None' = None, compression: 'CompressionOptions' = 'infer', storage_options: 'StorageOptions' = None) -> 'str | None'
| Render a DataFrame to an XML document.
|
| .. versionadded:: 1.3.0
|
| Parameters
| ----------
| path_or_buffer : str, path object or file-like object, optional
| File to write output to. If None, the output is returned as a
| string.
| index : bool, default True
| Whether to include index in XML document.
| root_name : str, default 'data'
| The name of root element in XML document.
| row_name : str, default 'row'
| The name of row element in XML document.
| na_rep : str, optional
| Missing data representation.
| attr_cols : list-like, optional
| List of columns to write as attributes in row element.
| Hierarchical columns will be flattened with underscore
| delimiting the different levels.
| elem_cols : list-like, optional
| List of columns to write as children in row element. By default,
| all columns output as children of row element. Hierarchical
| columns will be flattened with underscore delimiting the
| different levels.
| namespaces : dict, optional
| All namespaces to be defined in root element. Keys of dict
| should be prefix names and values of dict corresponding URIs.
| Default namespaces should be given empty string key. For
| example, ::
|
| namespaces = {"": "https://example.com"}
|
| prefix : str, optional
| Namespace prefix to be used for every element and/or attribute
| in document. This should be one of the keys in ``namespaces``
| dict.
| encoding : str, default 'utf-8'
| Encoding of the resulting document.
| xml_declaration : bool, default True
| Whether to include the XML declaration at start of document.
| pretty_print : bool, default True
| Whether output should be pretty printed with indentation and
| line breaks.
| parser : {'lxml','etree'}, default 'lxml'
| Parser module to use for building of tree. Only 'lxml' and
| 'etree' are supported. With 'lxml', the ability to use XSLT
| stylesheet is supported.
| stylesheet : str, path object or file-like object, optional
| A URL, file-like object, or a raw string containing an XSLT
| script used to transform the raw XML output. Script should use
| layout of elements and attributes from original output. This
| argument requires ``lxml`` to be installed. Only XSLT 1.0
| scripts and not later versions is currently supported.
| compression : {'infer', 'gzip', 'bz2', 'zip', 'xz', None}, default 'infer'
| For on-the-fly decompression of on-disk data. If 'infer', then use
| gzip, bz2, zip or xz if path_or_buffer is a string ending in
| '.gz', '.bz2', '.zip', or 'xz', respectively, and no decompression
| otherwise. If using 'zip', the ZIP file must contain only one data
| file to be read in. Set to None for no decompression.
| storage_options : dict, optional
| Extra options that make sense for a particular storage connection, e.g.
| host, port, username, password, etc. For HTTP(S) URLs the key-value pairs
| are forwarded to ``urllib`` as header options. For other URLs (e.g.
| starting with "s3://", and "gcs://") the key-value pairs are forwarded to
| ``fsspec``. Please see ``fsspec`` and ``urllib`` for more details.
|
| Returns
| -------
| None or str
| If ``io`` is None, returns the resulting XML format as a
| string. Otherwise returns None.
|
| See Also
| --------
| to_json : Convert the pandas object to a JSON string.
| to_html : Convert DataFrame to a html.
|
| Examples
| --------
| >>> df = pd.DataFrame({'shape': ['square', 'circle', 'triangle'],
| ... 'degrees': [360, 360, 180],
| ... 'sides': [4, np.nan, 3]})
|
| >>> df.to_xml() # doctest: +SKIP
| <?xml version='1.0' encoding='utf-8'?>
| <data>
| <row>
| <index>0</index>
| <shape>square</shape>
| <degrees>360</degrees>
| <sides>4.0</sides>
| </row>
| <row>
| <index>1</index>
| <shape>circle</shape>
| <degrees>360</degrees>
| <sides/>
| </row>
| <row>
| <index>2</index>
| <shape>triangle</shape>
| <degrees>180</degrees>
| <sides>3.0</sides>
| </row>
| </data>
|
| >>> df.to_xml(attr_cols=[
| ... 'index', 'shape', 'degrees', 'sides'
| ... ]) # doctest: +SKIP
| <?xml version='1.0' encoding='utf-8'?>
| <data>
| <row index="0" shape="square" degrees="360" sides="4.0"/>
| <row index="1" shape="circle" degrees="360"/>
| <row index="2" shape="triangle" degrees="180" sides="3.0"/>
| </data>
|
| >>> df.to_xml(namespaces={"doc": "https://example.com"},
| ... prefix="doc") # doctest: +SKIP
| <?xml version='1.0' encoding='utf-8'?>
| <doc:data xmlns:doc="https://example.com">
| <doc:row>
| <doc:index>0</doc:index>
| <doc:shape>square</doc:shape>
| <doc:degrees>360</doc:degrees>
| <doc:sides>4.0</doc:sides>
| </doc:row>
| <doc:row>
| <doc:index>1</doc:index>
| <doc:shape>circle</doc:shape>
| <doc:degrees>360</doc:degrees>
| <doc:sides/>
| </doc:row>
| <doc:row>
| <doc:index>2</doc:index>
| <doc:shape>triangle</doc:shape>
| <doc:degrees>180</doc:degrees>
| <doc:sides>3.0</doc:sides>
| </doc:row>
| </doc:data>
|
| transform(self, func: 'AggFuncType', axis: 'Axis' = 0, *args, **kwargs) -> 'DataFrame'
| Call ``func`` on self producing a DataFrame with transformed values.
|
| Produced DataFrame will have same axis length as self.
|
| Parameters
| ----------
| func : function, str, list-like or dict-like
| Function to use for transforming the data. If a function, must either
| work when passed a DataFrame or when passed to DataFrame.apply. If func
| is both list-like and dict-like, dict-like behavior takes precedence.
|
| Accepted combinations are:
|
| - function
| - string function name
| - list-like of functions and/or function names, e.g. ``[np.exp, 'sqrt']``
| - dict-like of axis labels -> functions, function names or list-like of such.
| axis : {0 or 'index', 1 or 'columns'}, default 0
| If 0 or 'index': apply function to each column.
| If 1 or 'columns': apply function to each row.
| *args
| Positional arguments to pass to `func`.
| **kwargs
| Keyword arguments to pass to `func`.
|
| Returns
| -------
| DataFrame
| A DataFrame that must have the same length as self.
|
| Raises
| ------
| ValueError : If the returned DataFrame has a different length than self.
|
| See Also
| --------
| DataFrame.agg : Only perform aggregating type operations.
| DataFrame.apply : Invoke function on a DataFrame.
|
| Notes
| -----
| Functions that mutate the passed object can produce unexpected
| behavior or errors and are not supported. See :ref:`gotchas.udf-mutation`
| for more details.
|
| Examples
| --------
| >>> df = pd.DataFrame({'A': range(3), 'B': range(1, 4)})
| >>> df
| A B
| 0 0 1
| 1 1 2
| 2 2 3
| >>> df.transform(lambda x: x + 1)
| A B
| 0 1 2
| 1 2 3
| 2 3 4
|
| Even though the resulting DataFrame must have the same length as the
| input DataFrame, it is possible to provide several input functions:
|
| >>> s = pd.Series(range(3))
| >>> s
| 0 0
| 1 1
| 2 2
| dtype: int64
| >>> s.transform([np.sqrt, np.exp])
| sqrt exp
| 0 0.000000 1.000000
| 1 1.000000 2.718282
| 2 1.414214 7.389056
|
| You can call transform on a GroupBy object:
|
| >>> df = pd.DataFrame({
| ... "Date": [
| ... "2015-05-08", "2015-05-07", "2015-05-06", "2015-05-05",
| ... "2015-05-08", "2015-05-07", "2015-05-06", "2015-05-05"],
| ... "Data": [5, 8, 6, 1, 50, 100, 60, 120],
| ... })
| >>> df
| Date Data
| 0 2015-05-08 5
| 1 2015-05-07 8
| 2 2015-05-06 6
| 3 2015-05-05 1
| 4 2015-05-08 50
| 5 2015-05-07 100
| 6 2015-05-06 60
| 7 2015-05-05 120
| >>> df.groupby('Date')['Data'].transform('sum')
| 0 55
| 1 108
| 2 66
| 3 121
| 4 55
| 5 108
| 6 66
| 7 121
| Name: Data, dtype: int64
|
| >>> df = pd.DataFrame({
| ... "c": [1, 1, 1, 2, 2, 2, 2],
| ... "type": ["m", "n", "o", "m", "m", "n", "n"]
| ... })
| >>> df
| c type
| 0 1 m
| 1 1 n
| 2 1 o
| 3 2 m
| 4 2 m
| 5 2 n
| 6 2 n
| >>> df['size'] = df.groupby('c')['type'].transform(len)
| >>> df
| c type size
| 0 1 m 3
| 1 1 n 3
| 2 1 o 3
| 3 2 m 4
| 4 2 m 4
| 5 2 n 4
| 6 2 n 4
|
| transpose(self, *args, copy: 'bool' = False) -> 'DataFrame'
| Transpose index and columns.
|
| Reflect the DataFrame over its main diagonal by writing rows as columns
| and vice-versa. The property :attr:`.T` is an accessor to the method
| :meth:`transpose`.
|
| Parameters
| ----------
| *args : tuple, optional
| Accepted for compatibility with NumPy.
| copy : bool, default False
| Whether to copy the data after transposing, even for DataFrames
| with a single dtype.
|
| Note that a copy is always required for mixed dtype DataFrames,
| or for DataFrames with any extension types.
|
| Returns
| -------
| DataFrame
| The transposed DataFrame.
|
| See Also
| --------
| numpy.transpose : Permute the dimensions of a given array.
|
| Notes
| -----
| Transposing a DataFrame with mixed dtypes will result in a homogeneous
| DataFrame with the `object` dtype. In such a case, a copy of the data
| is always made.
|
| Examples
| --------
| **Square DataFrame with homogeneous dtype**
|
| >>> d1 = {'col1': [1, 2], 'col2': [3, 4]}
| >>> df1 = pd.DataFrame(data=d1)
| >>> df1
| col1 col2
| 0 1 3
| 1 2 4
|
| >>> df1_transposed = df1.T # or df1.transpose()
| >>> df1_transposed
| 0 1
| col1 1 2
| col2 3 4
|
| When the dtype is homogeneous in the original DataFrame, we get a
| transposed DataFrame with the same dtype:
|
| >>> df1.dtypes
| col1 int64
| col2 int64
| dtype: object
| >>> df1_transposed.dtypes
| 0 int64
| 1 int64
| dtype: object
|
| **Non-square DataFrame with mixed dtypes**
|
| >>> d2 = {'name': ['Alice', 'Bob'],
| ... 'score': [9.5, 8],
| ... 'employed': [False, True],
| ... 'kids': [0, 0]}
| >>> df2 = pd.DataFrame(data=d2)
| >>> df2
| name score employed kids
| 0 Alice 9.5 False 0
| 1 Bob 8.0 True 0
|
| >>> df2_transposed = df2.T # or df2.transpose()
| >>> df2_transposed
| 0 1
| name Alice Bob
| score 9.5 8.0
| employed False True
| kids 0 0
|
| When the DataFrame has mixed dtypes, we get a transposed DataFrame with
| the `object` dtype:
|
| >>> df2.dtypes
| name object
| score float64
| employed bool
| kids int64
| dtype: object
| >>> df2_transposed.dtypes
| 0 object
| 1 object
| dtype: object
|
| truediv(self, other, axis='columns', level=None, fill_value=None)
| Get Floating division of dataframe and other, element-wise (binary operator `truediv`).
|
| Equivalent to ``dataframe / other``, but with support to substitute a fill_value
| for missing data in one of the inputs. With reverse version, `rtruediv`.
|
| Among flexible wrappers (`add`, `sub`, `mul`, `div`, `mod`, `pow`) to
| arithmetic operators: `+`, `-`, `*`, `/`, `//`, `%`, `**`.
|
| Parameters
| ----------
| other : scalar, sequence, Series, or DataFrame
| Any single or multiple element data structure, or list-like object.
| axis : {0 or 'index', 1 or 'columns'}
| Whether to compare by the index (0 or 'index') or columns
| (1 or 'columns'). For Series input, axis to match Series index on.
| level : int or label
| Broadcast across a level, matching Index values on the
| passed MultiIndex level.
| fill_value : float or None, default None
| Fill existing missing (NaN) values, and any new element needed for
| successful DataFrame alignment, with this value before computation.
| If data in both corresponding DataFrame locations is missing
| the result will be missing.
|
| Returns
| -------
| DataFrame
| Result of the arithmetic operation.
|
| See Also
| --------
| DataFrame.add : Add DataFrames.
| DataFrame.sub : Subtract DataFrames.
| DataFrame.mul : Multiply DataFrames.
| DataFrame.div : Divide DataFrames (float division).
| DataFrame.truediv : Divide DataFrames (float division).
| DataFrame.floordiv : Divide DataFrames (integer division).
| DataFrame.mod : Calculate modulo (remainder after division).
| DataFrame.pow : Calculate exponential power.
|
| Notes
| -----
| Mismatched indices will be unioned together.
|
| Examples
| --------
| >>> df = pd.DataFrame({'angles': [0, 3, 4],
| ... 'degrees': [360, 180, 360]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> df
| angles degrees
| circle 0 360
| triangle 3 180
| rectangle 4 360
|
| Add a scalar with operator version which return the same
| results.
|
| >>> df + 1
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| >>> df.add(1)
| angles degrees
| circle 1 361
| triangle 4 181
| rectangle 5 361
|
| Divide by constant with reverse version.
|
| >>> df.div(10)
| angles degrees
| circle 0.0 36.0
| triangle 0.3 18.0
| rectangle 0.4 36.0
|
| >>> df.rdiv(10)
| angles degrees
| circle inf 0.027778
| triangle 3.333333 0.055556
| rectangle 2.500000 0.027778
|
| Subtract a list and Series by axis with operator version.
|
| >>> df - [1, 2]
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub([1, 2], axis='columns')
| angles degrees
| circle -1 358
| triangle 2 178
| rectangle 3 358
|
| >>> df.sub(pd.Series([1, 1, 1], index=['circle', 'triangle', 'rectangle']),
| ... axis='index')
| angles degrees
| circle -1 359
| triangle 2 179
| rectangle 3 359
|
| Multiply a DataFrame of different shape with operator version.
|
| >>> other = pd.DataFrame({'angles': [0, 3, 4]},
| ... index=['circle', 'triangle', 'rectangle'])
| >>> other
| angles
| circle 0
| triangle 3
| rectangle 4
|
| >>> df * other
| angles degrees
| circle 0 NaN
| triangle 9 NaN
| rectangle 16 NaN
|
| >>> df.mul(other, fill_value=0)
| angles degrees
| circle 0 0.0
| triangle 9 0.0
| rectangle 16 0.0
|
| Divide by a MultiIndex by level.
|
| >>> df_multindex = pd.DataFrame({'angles': [0, 3, 4, 4, 5, 6],
| ... 'degrees': [360, 180, 360, 360, 540, 720]},
| ... index=[['A', 'A', 'A', 'B', 'B', 'B'],
| ... ['circle', 'triangle', 'rectangle',
| ... 'square', 'pentagon', 'hexagon']])
| >>> df_multindex
| angles degrees
| A circle 0 360
| triangle 3 180
| rectangle 4 360
| B square 4 360
| pentagon 5 540
| hexagon 6 720
|
| >>> df.div(df_multindex, level=1, fill_value=0)
| angles degrees
| A circle NaN 1.0
| triangle 1.0 1.0
| rectangle 1.0 1.0
| B square 0.0 0.0
| pentagon 0.0 0.0
| hexagon 0.0 0.0
|
| unstack(self, level: 'Level' = -1, fill_value=None)
| Pivot a level of the (necessarily hierarchical) index labels.
|
| Returns a DataFrame having a new level of column labels whose inner-most level
| consists of the pivoted index labels.
|
| If the index is not a MultiIndex, the output will be a Series
| (the analogue of stack when the columns are not a MultiIndex).
|
| Parameters
| ----------
| level : int, str, or list of these, default -1 (last level)
| Level(s) of index to unstack, can pass level name.
| fill_value : int, str or dict
| Replace NaN with this value if the unstack produces missing values.
|
| Returns
| -------
| Series or DataFrame
|
| See Also
| --------
| DataFrame.pivot : Pivot a table based on column values.
| DataFrame.stack : Pivot a level of the column labels (inverse operation
| from `unstack`).
|
| Examples
| --------
| >>> index = pd.MultiIndex.from_tuples([('one', 'a'), ('one', 'b'),
| ... ('two', 'a'), ('two', 'b')])
| >>> s = pd.Series(np.arange(1.0, 5.0), index=index)
| >>> s
| one a 1.0
| b 2.0
| two a 3.0
| b 4.0
| dtype: float64
|
| >>> s.unstack(level=-1)
| a b
| one 1.0 2.0
| two 3.0 4.0
|
| >>> s.unstack(level=0)
| one two
| a 1.0 3.0
| b 2.0 4.0
|
| >>> df = s.unstack(level=0)
| >>> df.unstack()
| one a 1.0
| b 2.0
| two a 3.0
| b 4.0
| dtype: float64
|
| update(self, other, join: 'str' = 'left', overwrite: 'bool' = True, filter_func=None, errors: 'str' = 'ignore') -> 'None'
| Modify in place using non-NA values from another DataFrame.
|
| Aligns on indices. There is no return value.
|
| Parameters
| ----------
| other : DataFrame, or object coercible into a DataFrame
| Should have at least one matching index/column label
| with the original DataFrame. If a Series is passed,
| its name attribute must be set, and that will be
| used as the column name to align with the original DataFrame.
| join : {'left'}, default 'left'
| Only left join is implemented, keeping the index and columns of the
| original object.
| overwrite : bool, default True
| How to handle non-NA values for overlapping keys:
|
| * True: overwrite original DataFrame's values
| with values from `other`.
| * False: only update values that are NA in
| the original DataFrame.
|
| filter_func : callable(1d-array) -> bool 1d-array, optional
| Can choose to replace values other than NA. Return True for values
| that should be updated.
| errors : {'raise', 'ignore'}, default 'ignore'
| If 'raise', will raise a ValueError if the DataFrame and `other`
| both contain non-NA data in the same place.
|
| Returns
| -------
| None : method directly changes calling object
|
| Raises
| ------
| ValueError
| * When `errors='raise'` and there's overlapping non-NA data.
| * When `errors` is not either `'ignore'` or `'raise'`
| NotImplementedError
| * If `join != 'left'`
|
| See Also
| --------
| dict.update : Similar method for dictionaries.
| DataFrame.merge : For column(s)-on-column(s) operations.
|
| Examples
| --------
| >>> df = pd.DataFrame({'A': [1, 2, 3],
| ... 'B': [400, 500, 600]})
| >>> new_df = pd.DataFrame({'B': [4, 5, 6],
| ... 'C': [7, 8, 9]})
| >>> df.update(new_df)
| >>> df
| A B
| 0 1 4
| 1 2 5
| 2 3 6
|
| The DataFrame's length does not increase as a result of the update,
| only values at matching index/column labels are updated.
|
| >>> df = pd.DataFrame({'A': ['a', 'b', 'c'],
| ... 'B': ['x', 'y', 'z']})
| >>> new_df = pd.DataFrame({'B': ['d', 'e', 'f', 'g', 'h', 'i']})
| >>> df.update(new_df)
| >>> df
| A B
| 0 a d
| 1 b e
| 2 c f
|
| For Series, its name attribute must be set.
|
| >>> df = pd.DataFrame({'A': ['a', 'b', 'c'],
| ... 'B': ['x', 'y', 'z']})
| >>> new_column = pd.Series(['d', 'e'], name='B', index=[0, 2])
| >>> df.update(new_column)
| >>> df
| A B
| 0 a d
| 1 b y
| 2 c e
| >>> df = pd.DataFrame({'A': ['a', 'b', 'c'],
| ... 'B': ['x', 'y', 'z']})
| >>> new_df = pd.DataFrame({'B': ['d', 'e']}, index=[1, 2])
| >>> df.update(new_df)
| >>> df
| A B
| 0 a x
| 1 b d
| 2 c e
|
| If `other` contains NaNs the corresponding values are not updated
| in the original dataframe.
|
| >>> df = pd.DataFrame({'A': [1, 2, 3],
| ... 'B': [400, 500, 600]})
| >>> new_df = pd.DataFrame({'B': [4, np.nan, 6]})
| >>> df.update(new_df)
| >>> df
| A B
| 0 1 4.0
| 1 2 500.0
| 2 3 6.0
|
| value_counts(self, subset: 'Sequence[Hashable] | None' = None, normalize: 'bool' = False, sort: 'bool' = True, ascending: 'bool' = False, dropna: 'bool' = True)
| Return a Series containing counts of unique rows in the DataFrame.
|
| .. versionadded:: 1.1.0
|
| Parameters
| ----------
| subset : list-like, optional
| Columns to use when counting unique combinations.
| normalize : bool, default False
| Return proportions rather than frequencies.
| sort : bool, default True
| Sort by frequencies.
| ascending : bool, default False
| Sort in ascending order.
| dropna : bool, default True
| Don’t include counts of rows that contain NA values.
|
| .. versionadded:: 1.3.0
|
| Returns
| -------
| Series
|
| See Also
| --------
| Series.value_counts: Equivalent method on Series.
|
| Notes
| -----
| The returned Series will have a MultiIndex with one level per input
| column. By default, rows that contain any NA values are omitted from
| the result. By default, the resulting Series will be in descending
| order so that the first element is the most frequently-occurring row.
|
| Examples
| --------
| >>> df = pd.DataFrame({'num_legs': [2, 4, 4, 6],
| ... 'num_wings': [2, 0, 0, 0]},
| ... index=['falcon', 'dog', 'cat', 'ant'])
| >>> df
| num_legs num_wings
| falcon 2 2
| dog 4 0
| cat 4 0
| ant 6 0
|
| >>> df.value_counts()
| num_legs num_wings
| 4 0 2
| 2 2 1
| 6 0 1
| dtype: int64
|
| >>> df.value_counts(sort=False)
| num_legs num_wings
| 2 2 1
| 4 0 2
| 6 0 1
| dtype: int64
|
| >>> df.value_counts(ascending=True)
| num_legs num_wings
| 2 2 1
| 6 0 1
| 4 0 2
| dtype: int64
|
| >>> df.value_counts(normalize=True)
| num_legs num_wings
| 4 0 0.50
| 2 2 0.25
| 6 0 0.25
| dtype: float64
|
| With `dropna` set to `False` we can also count rows with NA values.
|
| >>> df = pd.DataFrame({'first_name': ['John', 'Anne', 'John', 'Beth'],
| ... 'middle_name': ['Smith', pd.NA, pd.NA, 'Louise']})
| >>> df
| first_name middle_name
| 0 John Smith
| 1 Anne <NA>
| 2 John <NA>
| 3 Beth Louise
|
| >>> df.value_counts()
| first_name middle_name
| Beth Louise 1
| John Smith 1
| dtype: int64
|
| >>> df.value_counts(dropna=False)
| first_name middle_name
| Anne NaN 1
| Beth Louise 1
| John Smith 1
| NaN 1
| dtype: int64
|
| var(self, axis=None, skipna=None, level=None, ddof=1, numeric_only=None, **kwargs)
| Return unbiased variance over requested axis.
|
| Normalized by N-1 by default. This can be changed using the ddof argument
|
| Parameters
| ----------
| axis : {index (0), columns (1)}
| skipna : bool, default True
| Exclude NA/null values. If an entire row/column is NA, the result
| will be NA.
| level : int or level name, default None
| If the axis is a MultiIndex (hierarchical), count along a
| particular level, collapsing into a Series.
| ddof : int, default 1
| Delta Degrees of Freedom. The divisor used in calculations is N - ddof,
| where N represents the number of elements.
| numeric_only : bool, default None
| Include only float, int, boolean columns. If None, will attempt to use
| everything, then use only numeric data. Not implemented for Series.
|
| Returns
| -------
| Series or DataFrame (if level specified)
|
| Notes
| -----
| To have the same behaviour as `numpy.std`, use `ddof=0` (instead of the
| default `ddof=1`)
|
| where(self, cond, other=nan, inplace=False, axis=None, level=None, errors='raise', try_cast=<no_default>)
| Replace values where the condition is False.
|
| Parameters
| ----------
| cond : bool Series/DataFrame, array-like, or callable
| Where `cond` is True, keep the original value. Where
| False, replace with corresponding value from `other`.
| If `cond` is callable, it is computed on the Series/DataFrame and
| should return boolean Series/DataFrame or array. The callable must
| not change input Series/DataFrame (though pandas doesn't check it).
| other : scalar, Series/DataFrame, or callable
| Entries where `cond` is False are replaced with
| corresponding value from `other`.
| If other is callable, it is computed on the Series/DataFrame and
| should return scalar or Series/DataFrame. The callable must not
| change input Series/DataFrame (though pandas doesn't check it).
| inplace : bool, default False
| Whether to perform the operation in place on the data.
| axis : int, default None
| Alignment axis if needed.
| level : int, default None
| Alignment level if needed.
| errors : str, {'raise', 'ignore'}, default 'raise'
| Note that currently this parameter won't affect
| the results and will always coerce to a suitable dtype.
|
| - 'raise' : allow exceptions to be raised.
| - 'ignore' : suppress exceptions. On error return original object.
|
| try_cast : bool, default None
| Try to cast the result back to the input type (if possible).
|
| .. deprecated:: 1.3.0
| Manually cast back if necessary.
|
| Returns
| -------
| Same type as caller or None if ``inplace=True``.
|
| See Also
| --------
| :func:`DataFrame.mask` : Return an object of same shape as
| self.
|
| Notes
| -----
| The where method is an application of the if-then idiom. For each
| element in the calling DataFrame, if ``cond`` is ``True`` the
| element is used; otherwise the corresponding element from the DataFrame
| ``other`` is used.
|
| The signature for :func:`DataFrame.where` differs from
| :func:`numpy.where`. Roughly ``df1.where(m, df2)`` is equivalent to
| ``np.where(m, df1, df2)``.
|
| For further details and examples see the ``where`` documentation in
| :ref:`indexing <indexing.where_mask>`.
|
| Examples
| --------
| >>> s = pd.Series(range(5))
| >>> s.where(s > 0)
| 0 NaN
| 1 1.0
| 2 2.0
| 3 3.0
| 4 4.0
| dtype: float64
| >>> s.mask(s > 0)
| 0 0.0
| 1 NaN
| 2 NaN
| 3 NaN
| 4 NaN
| dtype: float64
|
| >>> s.where(s > 1, 10)
| 0 10
| 1 10
| 2 2
| 3 3
| 4 4
| dtype: int64
| >>> s.mask(s > 1, 10)
| 0 0
| 1 1
| 2 10
| 3 10
| 4 10
| dtype: int64
|
| >>> df = pd.DataFrame(np.arange(10).reshape(-1, 2), columns=['A', 'B'])
| >>> df
| A B
| 0 0 1
| 1 2 3
| 2 4 5
| 3 6 7
| 4 8 9
| >>> m = df % 3 == 0
| >>> df.where(m, -df)
| A B
| 0 0 -1
| 1 -2 3
| 2 -4 -5
| 3 6 -7
| 4 -8 9
| >>> df.where(m, -df) == np.where(m, df, -df)
| A B
| 0 True True
| 1 True True
| 2 True True
| 3 True True
| 4 True True
| >>> df.where(m, -df) == df.mask(~m, -df)
| A B
| 0 True True
| 1 True True
| 2 True True
| 3 True True
| 4 True True
|
| ----------------------------------------------------------------------
| Class methods defined here:
|
| from_dict(data, orient: 'str' = 'columns', dtype: 'Dtype | None' = None, columns=None) -> 'DataFrame' from builtins.type
| Construct DataFrame from dict of array-like or dicts.
|
| Creates DataFrame object from dictionary by columns or by index
| allowing dtype specification.
|
| Parameters
| ----------
| data : dict
| Of the form {field : array-like} or {field : dict}.
| orient : {'columns', 'index'}, default 'columns'
| The "orientation" of the data. If the keys of the passed dict
| should be the columns of the resulting DataFrame, pass 'columns'
| (default). Otherwise if the keys should be rows, pass 'index'.
| dtype : dtype, default None
| Data type to force, otherwise infer.
| columns : list, default None
| Column labels to use when ``orient='index'``. Raises a ValueError
| if used with ``orient='columns'``.
|
| Returns
| -------
| DataFrame
|
| See Also
| --------
| DataFrame.from_records : DataFrame from structured ndarray, sequence
| of tuples or dicts, or DataFrame.
| DataFrame : DataFrame object creation using constructor.
|
| Examples
| --------
| By default the keys of the dict become the DataFrame columns:
|
| >>> data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
| >>> pd.DataFrame.from_dict(data)
| col_1 col_2
| 0 3 a
| 1 2 b
| 2 1 c
| 3 0 d
|
| Specify ``orient='index'`` to create the DataFrame using dictionary
| keys as rows:
|
| >>> data = {'row_1': [3, 2, 1, 0], 'row_2': ['a', 'b', 'c', 'd']}
| >>> pd.DataFrame.from_dict(data, orient='index')
| 0 1 2 3
| row_1 3 2 1 0
| row_2 a b c d
|
| When using the 'index' orientation, the column names can be
| specified manually:
|
| >>> pd.DataFrame.from_dict(data, orient='index',
| ... columns=['A', 'B', 'C', 'D'])
| A B C D
| row_1 3 2 1 0
| row_2 a b c d
|
| from_records(data, index=None, exclude=None, columns=None, coerce_float: 'bool' = False, nrows: 'int | None' = None) -> 'DataFrame' from builtins.type
| Convert structured or record ndarray to DataFrame.
|
| Creates a DataFrame object from a structured ndarray, sequence of
| tuples or dicts, or DataFrame.
|
| Parameters
| ----------
| data : structured ndarray, sequence of tuples or dicts, or DataFrame
| Structured input data.
| index : str, list of fields, array-like
| Field of array to use as the index, alternately a specific set of
| input labels to use.
| exclude : sequence, default None
| Columns or fields to exclude.
| columns : sequence, default None
| Column names to use. If the passed data do not have names
| associated with them, this argument provides names for the
| columns. Otherwise this argument indicates the order of the columns
| in the result (any names not found in the data will become all-NA
| columns).
| coerce_float : bool, default False
| Attempt to convert values of non-string, non-numeric objects (like
| decimal.Decimal) to floating point, useful for SQL result sets.
| nrows : int, default None
| Number of rows to read if data is an iterator.
|
| Returns
| -------
| DataFrame
|
| See Also
| --------
| DataFrame.from_dict : DataFrame from dict of array-like or dicts.
| DataFrame : DataFrame object creation using constructor.
|
| Examples
| --------
| Data can be provided as a structured ndarray:
|
| >>> data = np.array([(3, 'a'), (2, 'b'), (1, 'c'), (0, 'd')],
| ... dtype=[('col_1', 'i4'), ('col_2', 'U1')])
| >>> pd.DataFrame.from_records(data)
| col_1 col_2
| 0 3 a
| 1 2 b
| 2 1 c
| 3 0 d
|
| Data can be provided as a list of dicts:
|
| >>> data = [{'col_1': 3, 'col_2': 'a'},
| ... {'col_1': 2, 'col_2': 'b'},
| ... {'col_1': 1, 'col_2': 'c'},
| ... {'col_1': 0, 'col_2': 'd'}]
| >>> pd.DataFrame.from_records(data)
| col_1 col_2
| 0 3 a
| 1 2 b
| 2 1 c
| 3 0 d
|
| Data can be provided as a list of tuples with corresponding columns:
|
| >>> data = [(3, 'a'), (2, 'b'), (1, 'c'), (0, 'd')]
| >>> pd.DataFrame.from_records(data, columns=['col_1', 'col_2'])
| col_1 col_2
| 0 3 a
| 1 2 b
| 2 1 c
| 3 0 d
|
| ----------------------------------------------------------------------
| Readonly properties defined here:
|
| T
|
| axes
| Return a list representing the axes of the DataFrame.
|
| It has the row axis labels and column axis labels as the only members.
| They are returned in that order.
|
| Examples
| --------
| >>> df = pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})
| >>> df.axes
| [RangeIndex(start=0, stop=2, step=1), Index(['col1', 'col2'],
| dtype='object')]
|
| shape
| Return a tuple representing the dimensionality of the DataFrame.
|
| See Also
| --------
| ndarray.shape : Tuple of array dimensions.
|
| Examples
| --------
| >>> df = pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})
| >>> df.shape
| (2, 2)
|
| >>> df = pd.DataFrame({'col1': [1, 2], 'col2': [3, 4],
| ... 'col3': [5, 6]})
| >>> df.shape
| (2, 3)
|
| style
| Returns a Styler object.
|
| Contains methods for building a styled HTML representation of the DataFrame.
|
| See Also
| --------
| io.formats.style.Styler : Helps style a DataFrame or Series according to the
| data with HTML and CSS.
|
| values
| Return a Numpy representation of the DataFrame.
|
| .. warning::
|
| We recommend using :meth:`DataFrame.to_numpy` instead.
|
| Only the values in the DataFrame will be returned, the axes labels
| will be removed.
|
| Returns
| -------
| numpy.ndarray
| The values of the DataFrame.
|
| See Also
| --------
| DataFrame.to_numpy : Recommended alternative to this method.
| DataFrame.index : Retrieve the index labels.
| DataFrame.columns : Retrieving the column names.
|
| Notes
| -----
| The dtype will be a lower-common-denominator dtype (implicit
| upcasting); that is to say if the dtypes (even of numeric types)
| are mixed, the one that accommodates all will be chosen. Use this
| with care if you are not dealing with the blocks.
|
| e.g. If the dtypes are float16 and float32, dtype will be upcast to
| float32. If dtypes are int32 and uint8, dtype will be upcast to
| int32. By :func:`numpy.find_common_type` convention, mixing int64
| and uint64 will result in a float64 dtype.
|
| Examples
| --------
| A DataFrame where all columns are the same type (e.g., int64) results
| in an array of the same type.
|
| >>> df = pd.DataFrame({'age': [ 3, 29],
| ... 'height': [94, 170],
| ... 'weight': [31, 115]})
| >>> df
| age height weight
| 0 3 94 31
| 1 29 170 115
| >>> df.dtypes
| age int64
| height int64
| weight int64
| dtype: object
| >>> df.values
| array([[ 3, 94, 31],
| [ 29, 170, 115]])
|
| A DataFrame with mixed type columns(e.g., str/object, int64, float32)
| results in an ndarray of the broadest type that accommodates these
| mixed types (e.g., object).
|
| >>> df2 = pd.DataFrame([('parrot', 24.0, 'second'),
| ... ('lion', 80.5, 1),
| ... ('monkey', np.nan, None)],
| ... columns=('name', 'max_speed', 'rank'))
| >>> df2.dtypes
| name object
| max_speed float64
| rank object
| dtype: object
| >>> df2.values
| array([['parrot', 24.0, 'second'],
| ['lion', 80.5, 1],
| ['monkey', nan, None]], dtype=object)
|
| ----------------------------------------------------------------------
| Data descriptors defined here:
|
| columns
| The column labels of the DataFrame.
|
| index
| The index (row labels) of the DataFrame.
|
| ----------------------------------------------------------------------
| Data and other attributes defined here:
|
| __annotations__ = {'_AXIS_TO_AXIS_NUMBER': 'dict[Axis, int]', '_access...
|
| plot = <class 'pandas.plotting._core.PlotAccessor'>
| Make plots of Series or DataFrame.
|
| Uses the backend specified by the
| option ``plotting.backend``. By default, matplotlib is used.
|
| Parameters
| ----------
| data : Series or DataFrame
| The object for which the method is called.
| x : label or position, default None
| Only used if data is a DataFrame.
| y : label, position or list of label, positions, default None
| Allows plotting of one column versus another. Only used if data is a
| DataFrame.
| kind : str
| The kind of plot to produce:
|
| - 'line' : line plot (default)
| - 'bar' : vertical bar plot
| - 'barh' : horizontal bar plot
| - 'hist' : histogram
| - 'box' : boxplot
| - 'kde' : Kernel Density Estimation plot
| - 'density' : same as 'kde'
| - 'area' : area plot
| - 'pie' : pie plot
| - 'scatter' : scatter plot (DataFrame only)
| - 'hexbin' : hexbin plot (DataFrame only)
| ax : matplotlib axes object, default None
| An axes of the current figure.
| subplots : bool, default False
| Make separate subplots for each column.
| sharex : bool, default True if ax is None else False
| In case ``subplots=True``, share x axis and set some x axis labels
| to invisible; defaults to True if ax is None otherwise False if
| an ax is passed in; Be aware, that passing in both an ax and
| ``sharex=True`` will alter all x axis labels for all axis in a figure.
| sharey : bool, default False
| In case ``subplots=True``, share y axis and set some y axis labels to invisible.
| layout : tuple, optional
| (rows, columns) for the layout of subplots.
| figsize : a tuple (width, height) in inches
| Size of a figure object.
| use_index : bool, default True
| Use index as ticks for x axis.
| title : str or list
| Title to use for the plot. If a string is passed, print the string
| at the top of the figure. If a list is passed and `subplots` is
| True, print each item in the list above the corresponding subplot.
| grid : bool, default None (matlab style default)
| Axis grid lines.
| legend : bool or {'reverse'}
| Place legend on axis subplots.
| style : list or dict
| The matplotlib line style per column.
| logx : bool or 'sym', default False
| Use log scaling or symlog scaling on x axis.
| .. versionchanged:: 0.25.0
|
| logy : bool or 'sym' default False
| Use log scaling or symlog scaling on y axis.
| .. versionchanged:: 0.25.0
|
| loglog : bool or 'sym', default False
| Use log scaling or symlog scaling on both x and y axes.
| .. versionchanged:: 0.25.0
|
| xticks : sequence
| Values to use for the xticks.
| yticks : sequence
| Values to use for the yticks.
| xlim : 2-tuple/list
| Set the x limits of the current axes.
| ylim : 2-tuple/list
| Set the y limits of the current axes.
| xlabel : label, optional
| Name to use for the xlabel on x-axis. Default uses index name as xlabel, or the
| x-column name for planar plots.
|
| .. versionadded:: 1.1.0
|
| .. versionchanged:: 1.2.0
|
| Now applicable to planar plots (`scatter`, `hexbin`).
|
| ylabel : label, optional
| Name to use for the ylabel on y-axis. Default will show no ylabel, or the
| y-column name for planar plots.
|
| .. versionadded:: 1.1.0
|
| .. versionchanged:: 1.2.0
|
| Now applicable to planar plots (`scatter`, `hexbin`).
|
| rot : int, default None
| Rotation for ticks (xticks for vertical, yticks for horizontal
| plots).
| fontsize : int, default None
| Font size for xticks and yticks.
| colormap : str or matplotlib colormap object, default None
| Colormap to select colors from. If string, load colormap with that
| name from matplotlib.
| colorbar : bool, optional
| If True, plot colorbar (only relevant for 'scatter' and 'hexbin'
| plots).
| position : float
| Specify relative alignments for bar plot layout.
| From 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5
| (center).
| table : bool, Series or DataFrame, default False
| If True, draw a table using the data in the DataFrame and the data
| will be transposed to meet matplotlib's default layout.
| If a Series or DataFrame is passed, use passed data to draw a
| table.
| yerr : DataFrame, Series, array-like, dict and str
| See :ref:`Plotting with Error Bars <visualization.errorbars>` for
| detail.
| xerr : DataFrame, Series, array-like, dict and str
| Equivalent to yerr.
| stacked : bool, default False in line and bar plots, and True in area plot
| If True, create stacked plot.
| sort_columns : bool, default False
| Sort column names to determine plot ordering.
| secondary_y : bool or sequence, default False
| Whether to plot on the secondary y-axis if a list/tuple, which
| columns to plot on secondary y-axis.
| mark_right : bool, default True
| When using a secondary_y axis, automatically mark the column
| labels with "(right)" in the legend.
| include_bool : bool, default is False
| If True, boolean values can be plotted.
| backend : str, default None
| Backend to use instead of the backend specified in the option
| ``plotting.backend``. For instance, 'matplotlib'. Alternatively, to
| specify the ``plotting.backend`` for the whole session, set
| ``pd.options.plotting.backend``.
|
| .. versionadded:: 1.0.0
|
| **kwargs
| Options to pass to matplotlib plotting method.
|
| Returns
| -------
| :class:`matplotlib.axes.Axes` or numpy.ndarray of them
| If the backend is not the default matplotlib one, the return value
| will be the object returned by the backend.
|
| Notes
| -----
| - See matplotlib documentation online for more on this subject
| - If `kind` = 'bar' or 'barh', you can specify relative alignments
| for bar plot layout by `position` keyword.
| From 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5
| (center)
|
| sparse = <class 'pandas.core.arrays.sparse.accessor.SparseFrameAccesso...
| DataFrame accessor for sparse data.
|
| .. versionadded:: 0.25.0
|
| ----------------------------------------------------------------------
| Methods inherited from pandas.core.generic.NDFrame:
|
| __abs__(self: 'FrameOrSeries') -> 'FrameOrSeries'
|
| __array__(self, dtype: 'NpDtype | None' = None) -> 'np.ndarray'
|
| __array_ufunc__(self, ufunc: 'np.ufunc', method: 'str', *inputs: 'Any', **kwargs: 'Any')
|
| __array_wrap__(self, result: 'np.ndarray', context: 'tuple[Callable, tuple[Any, ...], int] | None' = None)
| Gets called after a ufunc and other functions.
|
| Parameters
| ----------
| result: np.ndarray
| The result of the ufunc or other function called on the NumPy array
| returned by __array__
| context: tuple of (func, tuple, int)
| This parameter is returned by ufuncs as a 3-element tuple: (name of the
| ufunc, arguments of the ufunc, domain of the ufunc), but is not set by
| other numpy functions.q
|
| Notes
| -----
| Series implements __array_ufunc_ so this not called for ufunc on Series.
|
| __bool__ = __nonzero__(self)
|
| __contains__(self, key) -> 'bool_t'
| True if the key is in the info axis
|
| __copy__(self: 'FrameOrSeries', deep: 'bool_t' = True) -> 'FrameOrSeries'
|
| __deepcopy__(self: 'FrameOrSeries', memo=None) -> 'FrameOrSeries'
| Parameters
| ----------
| memo, default None
| Standard signature. Unused
|
| __delitem__(self, key) -> 'None'
| Delete item
|
| __finalize__(self: 'FrameOrSeries', other, method: 'str | None' = None, **kwargs) -> 'FrameOrSeries'
| Propagate metadata from other to self.
|
| Parameters
| ----------
| other : the object from which to get the attributes that we are going
| to propagate
| method : str, optional
| A passed method name providing context on where ``__finalize__``
| was called.
|
| .. warning::
|
| The value passed as `method` are not currently considered
| stable across pandas releases.
|
| __getattr__(self, name: 'str')
| After regular attribute access, try looking up the name
| This allows simpler access to columns for interactive use.
|
| __getstate__(self) -> 'dict[str, Any]'
|
| __iadd__(self, other)
|
| __iand__(self, other)
|
| __ifloordiv__(self, other)
|
| __imod__(self, other)
|
| __imul__(self, other)
|
| __invert__(self)
|
| __ior__(self, other)
|
| __ipow__(self, other)
|
| __isub__(self, other)
|
| __iter__(self)
| Iterate over info axis.
|
| Returns
| -------
| iterator
| Info axis as iterator.
|
| __itruediv__(self, other)
|
| __ixor__(self, other)
|
| __neg__(self)
|
| __nonzero__(self)
|
| __pos__(self)
|
| __round__(self: 'FrameOrSeries', decimals: 'int' = 0) -> 'FrameOrSeries'
|
| __setattr__(self, name: 'str', value) -> 'None'
| After regular attribute access, try setting the name
| This allows simpler access to columns for interactive use.
|
| __setstate__(self, state)
|
| abs(self: 'FrameOrSeries') -> 'FrameOrSeries'
| Return a Series/DataFrame with absolute numeric value of each element.
|
| This function only applies to elements that are all numeric.
|
| Returns
| -------
| abs
| Series/DataFrame containing the absolute value of each element.
|
| See Also
| --------
| numpy.absolute : Calculate the absolute value element-wise.
|
| Notes
| -----
| For ``complex`` inputs, ``1.2 + 1j``, the absolute value is
| :math:`\sqrt{ a^2 + b^2 }`.
|
| Examples
| --------
| Absolute numeric values in a Series.
|
| >>> s = pd.Series([-1.10, 2, -3.33, 4])
| >>> s.abs()
| 0 1.10
| 1 2.00
| 2 3.33
| 3 4.00
| dtype: float64
|
| Absolute numeric values in a Series with complex numbers.
|
| >>> s = pd.Series([1.2 + 1j])
| >>> s.abs()
| 0 1.56205
| dtype: float64
|
| Absolute numeric values in a Series with a Timedelta element.
|
| >>> s = pd.Series([pd.Timedelta('1 days')])
| >>> s.abs()
| 0 1 days
| dtype: timedelta64[ns]
|
| Select rows with data closest to certain value using argsort (from
| `StackOverflow <https://stackoverflow.com/a/17758115>`__).
|
| >>> df = pd.DataFrame({
| ... 'a': [4, 5, 6, 7],
| ... 'b': [10, 20, 30, 40],
| ... 'c': [100, 50, -30, -50]
| ... })
| >>> df
| a b c
| 0 4 10 100
| 1 5 20 50
| 2 6 30 -30
| 3 7 40 -50
| >>> df.loc[(df.c - 43).abs().argsort()]
| a b c
| 1 5 20 50
| 0 4 10 100
| 2 6 30 -30
| 3 7 40 -50
|
| add_prefix(self: 'FrameOrSeries', prefix: 'str') -> 'FrameOrSeries'
| Prefix labels with string `prefix`.
|
| For Series, the row labels are prefixed.
| For DataFrame, the column labels are prefixed.
|
| Parameters
| ----------
| prefix : str
| The string to add before each label.
|
| Returns
| -------
| Series or DataFrame
| New Series or DataFrame with updated labels.
|
| See Also
| --------
| Series.add_suffix: Suffix row labels with string `suffix`.
| DataFrame.add_suffix: Suffix column labels with string `suffix`.
|
| Examples
| --------
| >>> s = pd.Series([1, 2, 3, 4])
| >>> s
| 0 1
| 1 2
| 2 3
| 3 4
| dtype: int64
|
| >>> s.add_prefix('item_')
| item_0 1
| item_1 2
| item_2 3
| item_3 4
| dtype: int64
|
| >>> df = pd.DataFrame({'A': [1, 2, 3, 4], 'B': [3, 4, 5, 6]})
| >>> df
| A B
| 0 1 3
| 1 2 4
| 2 3 5
| 3 4 6
|
| >>> df.add_prefix('col_')
| col_A col_B
| 0 1 3
| 1 2 4
| 2 3 5
| 3 4 6
|
| add_suffix(self: 'FrameOrSeries', suffix: 'str') -> 'FrameOrSeries'
| Suffix labels with string `suffix`.
|
| For Series, the row labels are suffixed.
| For DataFrame, the column labels are suffixed.
|
| Parameters
| ----------
| suffix : str
| The string to add after each label.
|
| Returns
| -------
| Series or DataFrame
| New Series or DataFrame with updated labels.
|
| See Also
| --------
| Series.add_prefix: Prefix row labels with string `prefix`.
| DataFrame.add_prefix: Prefix column labels with string `prefix`.
|
| Examples
| --------
| >>> s = pd.Series([1, 2, 3, 4])
| >>> s
| 0 1
| 1 2
| 2 3
| 3 4
| dtype: int64
|
| >>> s.add_suffix('_item')
| 0_item 1
| 1_item 2
| 2_item 3
| 3_item 4
| dtype: int64
|
| >>> df = pd.DataFrame({'A': [1, 2, 3, 4], 'B': [3, 4, 5, 6]})
| >>> df
| A B
| 0 1 3
| 1 2 4
| 2 3 5
| 3 4 6
|
| >>> df.add_suffix('_col')
| A_col B_col
| 0 1 3
| 1 2 4
| 2 3 5
| 3 4 6
|
| asof(self, where, subset=None)
| Return the last row(s) without any NaNs before `where`.
|
| The last row (for each element in `where`, if list) without any
| NaN is taken.
| In case of a :class:`~pandas.DataFrame`, the last row without NaN
| considering only the subset of columns (if not `None`)
|
| If there is no good value, NaN is returned for a Series or
| a Series of NaN values for a DataFrame
|
| Parameters
| ----------
| where : date or array-like of dates
| Date(s) before which the last row(s) are returned.
| subset : str or array-like of str, default `None`
| For DataFrame, if not `None`, only use these columns to
| check for NaNs.
|
| Returns
| -------
| scalar, Series, or DataFrame
|
| The return can be:
|
| * scalar : when `self` is a Series and `where` is a scalar
| * Series: when `self` is a Series and `where` is an array-like,
| or when `self` is a DataFrame and `where` is a scalar
| * DataFrame : when `self` is a DataFrame and `where` is an
| array-like
|
| Return scalar, Series, or DataFrame.
|
| See Also
| --------
| merge_asof : Perform an asof merge. Similar to left join.
|
| Notes
| -----
| Dates are assumed to be sorted. Raises if this is not the case.
|
| Examples
| --------
| A Series and a scalar `where`.
|
| >>> s = pd.Series([1, 2, np.nan, 4], index=[10, 20, 30, 40])
| >>> s
| 10 1.0
| 20 2.0
| 30 NaN
| 40 4.0
| dtype: float64
|
| >>> s.asof(20)
| 2.0
|
| For a sequence `where`, a Series is returned. The first value is
| NaN, because the first element of `where` is before the first
| index value.
|
| >>> s.asof([5, 20])
| 5 NaN
| 20 2.0
| dtype: float64
|
| Missing values are not considered. The following is ``2.0``, not
| NaN, even though NaN is at the index location for ``30``.
|
| >>> s.asof(30)
| 2.0
|
| Take all columns into consideration
|
| >>> df = pd.DataFrame({'a': [10, 20, 30, 40, 50],
| ... 'b': [None, None, None, None, 500]},
| ... index=pd.DatetimeIndex(['2018-02-27 09:01:00',
| ... '2018-02-27 09:02:00',
| ... '2018-02-27 09:03:00',
| ... '2018-02-27 09:04:00',
| ... '2018-02-27 09:05:00']))
| >>> df.asof(pd.DatetimeIndex(['2018-02-27 09:03:30',
| ... '2018-02-27 09:04:30']))
| a b
| 2018-02-27 09:03:30 NaN NaN
| 2018-02-27 09:04:30 NaN NaN
|
| Take a single column into consideration
|
| >>> df.asof(pd.DatetimeIndex(['2018-02-27 09:03:30',
| ... '2018-02-27 09:04:30']),
| ... subset=['a'])
| a b
| 2018-02-27 09:03:30 30.0 NaN
| 2018-02-27 09:04:30 40.0 NaN
|
| astype(self: 'FrameOrSeries', dtype, copy: 'bool_t' = True, errors: 'str' = 'raise') -> 'FrameOrSeries'
| Cast a pandas object to a specified dtype ``dtype``.
|
| Parameters
| ----------
| dtype : data type, or dict of column name -> data type
| Use a numpy.dtype or Python type to cast entire pandas object to
| the same type. Alternatively, use {col: dtype, ...}, where col is a
| column label and dtype is a numpy.dtype or Python type to cast one
| or more of the DataFrame's columns to column-specific types.
| copy : bool, default True
| Return a copy when ``copy=True`` (be very careful setting
| ``copy=False`` as changes to values then may propagate to other
| pandas objects).
| errors : {'raise', 'ignore'}, default 'raise'
| Control raising of exceptions on invalid data for provided dtype.
|
| - ``raise`` : allow exceptions to be raised
| - ``ignore`` : suppress exceptions. On error return original object.
|
| Returns
| -------
| casted : same type as caller
|
| See Also
| --------
| to_datetime : Convert argument to datetime.
| to_timedelta : Convert argument to timedelta.
| to_numeric : Convert argument to a numeric type.
| numpy.ndarray.astype : Cast a numpy array to a specified type.
|
| Notes
| -----
| .. deprecated:: 1.3.0
|
| Using ``astype`` to convert from timezone-naive dtype to
| timezone-aware dtype is deprecated and will raise in a
| future version. Use :meth:`Series.dt.tz_localize` instead.
|
| Examples
| --------
| Create a DataFrame:
|
| >>> d = {'col1': [1, 2], 'col2': [3, 4]}
| >>> df = pd.DataFrame(data=d)
| >>> df.dtypes
| col1 int64
| col2 int64
| dtype: object
|
| Cast all columns to int32:
|
| >>> df.astype('int32').dtypes
| col1 int32
| col2 int32
| dtype: object
|
| Cast col1 to int32 using a dictionary:
|
| >>> df.astype({'col1': 'int32'}).dtypes
| col1 int32
| col2 int64
| dtype: object
|
| Create a series:
|
| >>> ser = pd.Series([1, 2], dtype='int32')
| >>> ser
| 0 1
| 1 2
| dtype: int32
| >>> ser.astype('int64')
| 0 1
| 1 2
| dtype: int64
|
| Convert to categorical type:
|
| >>> ser.astype('category')
| 0 1
| 1 2
| dtype: category
| Categories (2, int64): [1, 2]
|
| Convert to ordered categorical type with custom ordering:
|
| >>> from pandas.api.types import CategoricalDtype
| >>> cat_dtype = CategoricalDtype(
| ... categories=[2, 1], ordered=True)
| >>> ser.astype(cat_dtype)
| 0 1
| 1 2
| dtype: category
| Categories (2, int64): [2 < 1]
|
| Note that using ``copy=False`` and changing data on a new
| pandas object may propagate changes:
|
| >>> s1 = pd.Series([1, 2])
| >>> s2 = s1.astype('int64', copy=False)
| >>> s2[0] = 10
| >>> s1 # note that s1[0] has changed too
| 0 10
| 1 2
| dtype: int64
|
| Create a series of dates:
|
| >>> ser_date = pd.Series(pd.date_range('20200101', periods=3))
| >>> ser_date
| 0 2020-01-01
| 1 2020-01-02
| 2 2020-01-03
| dtype: datetime64[ns]
|
| at_time(self: 'FrameOrSeries', time, asof: 'bool_t' = False, axis=None) -> 'FrameOrSeries'
| Select values at particular time of day (e.g., 9:30AM).
|
| Parameters
| ----------
| time : datetime.time or str
| axis : {0 or 'index', 1 or 'columns'}, default 0
|
| Returns
| -------
| Series or DataFrame
|
| Raises
| ------
| TypeError
| If the index is not a :class:`DatetimeIndex`
|
| See Also
| --------
| between_time : Select values between particular times of the day.
| first : Select initial periods of time series based on a date offset.
| last : Select final periods of time series based on a date offset.
| DatetimeIndex.indexer_at_time : Get just the index locations for
| values at particular time of the day.
|
| Examples
| --------
| >>> i = pd.date_range('2018-04-09', periods=4, freq='12H')
| >>> ts = pd.DataFrame({'A': [1, 2, 3, 4]}, index=i)
| >>> ts
| A
| 2018-04-09 00:00:00 1
| 2018-04-09 12:00:00 2
| 2018-04-10 00:00:00 3
| 2018-04-10 12:00:00 4
|
| >>> ts.at_time('12:00')
| A
| 2018-04-09 12:00:00 2
| 2018-04-10 12:00:00 4
|
| backfill = bfill(self: 'FrameOrSeries', axis: 'None | Axis' = None, inplace: 'bool_t' = False, limit: 'None | int' = None, downcast=None) -> 'FrameOrSeries | None'
| Synonym for :meth:`DataFrame.fillna` with ``method='bfill'``.
|
| Returns
| -------
| Series/DataFrame or None
| Object with missing values filled or None if ``inplace=True``.
|
| between_time(self: 'FrameOrSeries', start_time, end_time, include_start: 'bool_t' = True, include_end: 'bool_t' = True, axis=None) -> 'FrameOrSeries'
| Select values between particular times of the day (e.g., 9:00-9:30 AM).
|
| By setting ``start_time`` to be later than ``end_time``,
| you can get the times that are *not* between the two times.
|
| Parameters
| ----------
| start_time : datetime.time or str
| Initial time as a time filter limit.
| end_time : datetime.time or str
| End time as a time filter limit.
| include_start : bool, default True
| Whether the start time needs to be included in the result.
| include_end : bool, default True
| Whether the end time needs to be included in the result.
| axis : {0 or 'index', 1 or 'columns'}, default 0
| Determine range time on index or columns value.
|
| Returns
| -------
| Series or DataFrame
| Data from the original object filtered to the specified dates range.
|
| Raises
| ------
| TypeError
| If the index is not a :class:`DatetimeIndex`
|
| See Also
| --------
| at_time : Select values at a particular time of the day.
| first : Select initial periods of time series based on a date offset.
| last : Select final periods of time series based on a date offset.
| DatetimeIndex.indexer_between_time : Get just the index locations for
| values between particular times of the day.
|
| Examples
| --------
| >>> i = pd.date_range('2018-04-09', periods=4, freq='1D20min')
| >>> ts = pd.DataFrame({'A': [1, 2, 3, 4]}, index=i)
| >>> ts
| A
| 2018-04-09 00:00:00 1
| 2018-04-10 00:20:00 2
| 2018-04-11 00:40:00 3
| 2018-04-12 01:00:00 4
|
| >>> ts.between_time('0:15', '0:45')
| A
| 2018-04-10 00:20:00 2
| 2018-04-11 00:40:00 3
|
| You get the times that are *not* between two times by setting
| ``start_time`` later than ``end_time``:
|
| >>> ts.between_time('0:45', '0:15')
| A
| 2018-04-09 00:00:00 1
| 2018-04-12 01:00:00 4
|
| bool(self)
| Return the bool of a single element Series or DataFrame.
|
| This must be a boolean scalar value, either True or False. It will raise a
| ValueError if the Series or DataFrame does not have exactly 1 element, or that
| element is not boolean (integer values 0 and 1 will also raise an exception).
|
| Returns
| -------
| bool
| The value in the Series or DataFrame.
|
| See Also
| --------
| Series.astype : Change the data type of a Series, including to boolean.
| DataFrame.astype : Change the data type of a DataFrame, including to boolean.
| numpy.bool_ : NumPy boolean data type, used by pandas for boolean values.
|
| Examples
| --------
| The method will only work for single element objects with a boolean value:
|
| >>> pd.Series([True]).bool()
| True
| >>> pd.Series([False]).bool()
| False
|
| >>> pd.DataFrame({'col': [True]}).bool()
| True
| >>> pd.DataFrame({'col': [False]}).bool()
| False
|
| convert_dtypes(self: 'FrameOrSeries', infer_objects: 'bool_t' = True, convert_string: 'bool_t' = True, convert_integer: 'bool_t' = True, convert_boolean: 'bool_t' = True, convert_floating: 'bool_t' = True) -> 'FrameOrSeries'
| Convert columns to best possible dtypes using dtypes supporting ``pd.NA``.
|
| .. versionadded:: 1.0.0
|
| Parameters
| ----------
| infer_objects : bool, default True
| Whether object dtypes should be converted to the best possible types.
| convert_string : bool, default True
| Whether object dtypes should be converted to ``StringDtype()``.
| convert_integer : bool, default True
| Whether, if possible, conversion can be done to integer extension types.
| convert_boolean : bool, defaults True
| Whether object dtypes should be converted to ``BooleanDtypes()``.
| convert_floating : bool, defaults True
| Whether, if possible, conversion can be done to floating extension types.
| If `convert_integer` is also True, preference will be give to integer
| dtypes if the floats can be faithfully casted to integers.
|
| .. versionadded:: 1.2.0
|
| Returns
| -------
| Series or DataFrame
| Copy of input object with new dtype.
|
| See Also
| --------
| infer_objects : Infer dtypes of objects.
| to_datetime : Convert argument to datetime.
| to_timedelta : Convert argument to timedelta.
| to_numeric : Convert argument to a numeric type.
|
| Notes
| -----
| By default, ``convert_dtypes`` will attempt to convert a Series (or each
| Series in a DataFrame) to dtypes that support ``pd.NA``. By using the options
| ``convert_string``, ``convert_integer``, ``convert_boolean`` and
| ``convert_boolean``, it is possible to turn off individual conversions
| to ``StringDtype``, the integer extension types, ``BooleanDtype``
| or floating extension types, respectively.
|
| For object-dtyped columns, if ``infer_objects`` is ``True``, use the inference
| rules as during normal Series/DataFrame construction. Then, if possible,
| convert to ``StringDtype``, ``BooleanDtype`` or an appropriate integer
| or floating extension type, otherwise leave as ``object``.
|
| If the dtype is integer, convert to an appropriate integer extension type.
|
| If the dtype is numeric, and consists of all integers, convert to an
| appropriate integer extension type. Otherwise, convert to an
| appropriate floating extension type.
|
| .. versionchanged:: 1.2
| Starting with pandas 1.2, this method also converts float columns
| to the nullable floating extension type.
|
| In the future, as new dtypes are added that support ``pd.NA``, the results
| of this method will change to support those new dtypes.
|
| Examples
| --------
| >>> df = pd.DataFrame(
| ... {
| ... "a": pd.Series([1, 2, 3], dtype=np.dtype("int32")),
| ... "b": pd.Series(["x", "y", "z"], dtype=np.dtype("O")),
| ... "c": pd.Series([True, False, np.nan], dtype=np.dtype("O")),
| ... "d": pd.Series(["h", "i", np.nan], dtype=np.dtype("O")),
| ... "e": pd.Series([10, np.nan, 20], dtype=np.dtype("float")),
| ... "f": pd.Series([np.nan, 100.5, 200], dtype=np.dtype("float")),
| ... }
| ... )
|
| Start with a DataFrame with default dtypes.
|
| >>> df
| a b c d e f
| 0 1 x True h 10.0 NaN
| 1 2 y False i NaN 100.5
| 2 3 z NaN NaN 20.0 200.0
|
| >>> df.dtypes
| a int32
| b object
| c object
| d object
| e float64
| f float64
| dtype: object
|
| Convert the DataFrame to use best possible dtypes.
|
| >>> dfn = df.convert_dtypes()
| >>> dfn
| a b c d e f
| 0 1 x True h 10 <NA>
| 1 2 y False i <NA> 100.5
| 2 3 z <NA> <NA> 20 200.0
|
| >>> dfn.dtypes
| a Int32
| b string
| c boolean
| d string
| e Int64
| f Float64
| dtype: object
|
| Start with a Series of strings and missing data represented by ``np.nan``.
|
| >>> s = pd.Series(["a", "b", np.nan])
| >>> s
| 0 a
| 1 b
| 2 NaN
| dtype: object
|
| Obtain a Series with dtype ``StringDtype``.
|
| >>> s.convert_dtypes()
| 0 a
| 1 b
| 2 <NA>
| dtype: string
|
| copy(self: 'FrameOrSeries', deep: 'bool_t' = True) -> 'FrameOrSeries'
| Make a copy of this object's indices and data.
|
| When ``deep=True`` (default), a new object will be created with a
| copy of the calling object's data and indices. Modifications to
| the data or indices of the copy will not be reflected in the
| original object (see notes below).
|
| When ``deep=False``, a new object will be created without copying
| the calling object's data or index (only references to the data
| and index are copied). Any changes to the data of the original
| will be reflected in the shallow copy (and vice versa).
|
| Parameters
| ----------
| deep : bool, default True
| Make a deep copy, including a copy of the data and the indices.
| With ``deep=False`` neither the indices nor the data are copied.
|
| Returns
| -------
| copy : Series or DataFrame
| Object type matches caller.
|
| Notes
| -----
| When ``deep=True``, data is copied but actual Python objects
| will not be copied recursively, only the reference to the object.
| This is in contrast to `copy.deepcopy` in the Standard Library,
| which recursively copies object data (see examples below).
|
| While ``Index`` objects are copied when ``deep=True``, the underlying
| numpy array is not copied for performance reasons. Since ``Index`` is
| immutable, the underlying data can be safely shared and a copy
| is not needed.
|
| Examples
| --------
| >>> s = pd.Series([1, 2], index=["a", "b"])
| >>> s
| a 1
| b 2
| dtype: int64
|
| >>> s_copy = s.copy()
| >>> s_copy
| a 1
| b 2
| dtype: int64
|
| **Shallow copy versus default (deep) copy:**
|
| >>> s = pd.Series([1, 2], index=["a", "b"])
| >>> deep = s.copy()
| >>> shallow = s.copy(deep=False)
|
| Shallow copy shares data and index with original.
|
| >>> s is shallow
| False
| >>> s.values is shallow.values and s.index is shallow.index
| True
|
| Deep copy has own copy of data and index.
|
| >>> s is deep
| False
| >>> s.values is deep.values or s.index is deep.index
| False
|
| Updates to the data shared by shallow copy and original is reflected
| in both; deep copy remains unchanged.
|
| >>> s[0] = 3
| >>> shallow[1] = 4
| >>> s
| a 3
| b 4
| dtype: int64
| >>> shallow
| a 3
| b 4
| dtype: int64
| >>> deep
| a 1
| b 2
| dtype: int64
|
| Note that when copying an object containing Python objects, a deep copy
| will copy the data, but will not do so recursively. Updating a nested
| data object will be reflected in the deep copy.
|
| >>> s = pd.Series([[1, 2], [3, 4]])
| >>> deep = s.copy()
| >>> s[0][0] = 10
| >>> s
| 0 [10, 2]
| 1 [3, 4]
| dtype: object
| >>> deep
| 0 [10, 2]
| 1 [3, 4]
| dtype: object
|
| describe(self: 'FrameOrSeries', percentiles=None, include=None, exclude=None, datetime_is_numeric=False) -> 'FrameOrSeries'
| Generate descriptive statistics.
|
| Descriptive statistics include those that summarize the central
| tendency, dispersion and shape of a
| dataset's distribution, excluding ``NaN`` values.
|
| Analyzes both numeric and object series, as well
| as ``DataFrame`` column sets of mixed data types. The output
| will vary depending on what is provided. Refer to the notes
| below for more detail.
|
| Parameters
| ----------
| percentiles : list-like of numbers, optional
| The percentiles to include in the output. All should
| fall between 0 and 1. The default is
| ``[.25, .5, .75]``, which returns the 25th, 50th, and
| 75th percentiles.
| include : 'all', list-like of dtypes or None (default), optional
| A white list of data types to include in the result. Ignored
| for ``Series``. Here are the options:
|
| - 'all' : All columns of the input will be included in the output.
| - A list-like of dtypes : Limits the results to the
| provided data types.
| To limit the result to numeric types submit
| ``numpy.number``. To limit it instead to object columns submit
| the ``numpy.object`` data type. Strings
| can also be used in the style of
| ``select_dtypes`` (e.g. ``df.describe(include=['O'])``). To
| select pandas categorical columns, use ``'category'``
| - None (default) : The result will include all numeric columns.
| exclude : list-like of dtypes or None (default), optional,
| A black list of data types to omit from the result. Ignored
| for ``Series``. Here are the options:
|
| - A list-like of dtypes : Excludes the provided data types
| from the result. To exclude numeric types submit
| ``numpy.number``. To exclude object columns submit the data
| type ``numpy.object``. Strings can also be used in the style of
| ``select_dtypes`` (e.g. ``df.describe(include=['O'])``). To
| exclude pandas categorical columns, use ``'category'``
| - None (default) : The result will exclude nothing.
| datetime_is_numeric : bool, default False
| Whether to treat datetime dtypes as numeric. This affects statistics
| calculated for the column. For DataFrame input, this also
| controls whether datetime columns are included by default.
|
| .. versionadded:: 1.1.0
|
| Returns
| -------
| Series or DataFrame
| Summary statistics of the Series or Dataframe provided.
|
| See Also
| --------
| DataFrame.count: Count number of non-NA/null observations.
| DataFrame.max: Maximum of the values in the object.
| DataFrame.min: Minimum of the values in the object.
| DataFrame.mean: Mean of the values.
| DataFrame.std: Standard deviation of the observations.
| DataFrame.select_dtypes: Subset of a DataFrame including/excluding
| columns based on their dtype.
|
| Notes
| -----
| For numeric data, the result's index will include ``count``,
| ``mean``, ``std``, ``min``, ``max`` as well as lower, ``50`` and
| upper percentiles. By default the lower percentile is ``25`` and the
| upper percentile is ``75``. The ``50`` percentile is the
| same as the median.
|
| For object data (e.g. strings or timestamps), the result's index
| will include ``count``, ``unique``, ``top``, and ``freq``. The ``top``
| is the most common value. The ``freq`` is the most common value's
| frequency. Timestamps also include the ``first`` and ``last`` items.
|
| If multiple object values have the highest count, then the
| ``count`` and ``top`` results will be arbitrarily chosen from
| among those with the highest count.
|
| For mixed data types provided via a ``DataFrame``, the default is to
| return only an analysis of numeric columns. If the dataframe consists
| only of object and categorical data without any numeric columns, the
| default is to return an analysis of both the object and categorical
| columns. If ``include='all'`` is provided as an option, the result
| will include a union of attributes of each type.
|
| The `include` and `exclude` parameters can be used to limit
| which columns in a ``DataFrame`` are analyzed for the output.
| The parameters are ignored when analyzing a ``Series``.
|
| Examples
| --------
| Describing a numeric ``Series``.
|
| >>> s = pd.Series([1, 2, 3])
| >>> s.describe()
| count 3.0
| mean 2.0
| std 1.0
| min 1.0
| 25% 1.5
| 50% 2.0
| 75% 2.5
| max 3.0
| dtype: float64
|
| Describing a categorical ``Series``.
|
| >>> s = pd.Series(['a', 'a', 'b', 'c'])
| >>> s.describe()
| count 4
| unique 3
| top a
| freq 2
| dtype: object
|
| Describing a timestamp ``Series``.
|
| >>> s = pd.Series([
| ... np.datetime64("2000-01-01"),
| ... np.datetime64("2010-01-01"),
| ... np.datetime64("2010-01-01")
| ... ])
| >>> s.describe(datetime_is_numeric=True)
| count 3
| mean 2006-09-01 08:00:00
| min 2000-01-01 00:00:00
| 25% 2004-12-31 12:00:00
| 50% 2010-01-01 00:00:00
| 75% 2010-01-01 00:00:00
| max 2010-01-01 00:00:00
| dtype: object
|
| Describing a ``DataFrame``. By default only numeric fields
| are returned.
|
| >>> df = pd.DataFrame({'categorical': pd.Categorical(['d','e','f']),
| ... 'numeric': [1, 2, 3],
| ... 'object': ['a', 'b', 'c']
| ... })
| >>> df.describe()
| numeric
| count 3.0
| mean 2.0
| std 1.0
| min 1.0
| 25% 1.5
| 50% 2.0
| 75% 2.5
| max 3.0
|
| Describing all columns of a ``DataFrame`` regardless of data type.
|
| >>> df.describe(include='all') # doctest: +SKIP
| categorical numeric object
| count 3 3.0 3
| unique 3 NaN 3
| top f NaN a
| freq 1 NaN 1
| mean NaN 2.0 NaN
| std NaN 1.0 NaN
| min NaN 1.0 NaN
| 25% NaN 1.5 NaN
| 50% NaN 2.0 NaN
| 75% NaN 2.5 NaN
| max NaN 3.0 NaN
|
| Describing a column from a ``DataFrame`` by accessing it as
| an attribute.
|
| >>> df.numeric.describe()
| count 3.0
| mean 2.0
| std 1.0
| min 1.0
| 25% 1.5
| 50% 2.0
| 75% 2.5
| max 3.0
| Name: numeric, dtype: float64
|
| Including only numeric columns in a ``DataFrame`` description.
|
| >>> df.describe(include=[np.number])
| numeric
| count 3.0
| mean 2.0
| std 1.0
| min 1.0
| 25% 1.5
| 50% 2.0
| 75% 2.5
| max 3.0
|
| Including only string columns in a ``DataFrame`` description.
|
| >>> df.describe(include=[object]) # doctest: +SKIP
| object
| count 3
| unique 3
| top a
| freq 1
|
| Including only categorical columns from a ``DataFrame`` description.
|
| >>> df.describe(include=['category'])
| categorical
| count 3
| unique 3
| top d
| freq 1
|
| Excluding numeric columns from a ``DataFrame`` description.
|
| >>> df.describe(exclude=[np.number]) # doctest: +SKIP
| categorical object
| count 3 3
| unique 3 3
| top f a
| freq 1 1
|
| Excluding object columns from a ``DataFrame`` description.
|
| >>> df.describe(exclude=[object]) # doctest: +SKIP
| categorical numeric
| count 3 3.0
| unique 3 NaN
| top f NaN
| freq 1 NaN
| mean NaN 2.0
| std NaN 1.0
| min NaN 1.0
| 25% NaN 1.5
| 50% NaN 2.0
| 75% NaN 2.5
| max NaN 3.0
|
| droplevel(self: 'FrameOrSeries', level, axis=0) -> 'FrameOrSeries'
| Return Series/DataFrame with requested index / column level(s) removed.
|
| Parameters
| ----------
| level : int, str, or list-like
| If a string is given, must be the name of a level
| If list-like, elements must be names or positional indexes
| of levels.
|
| axis : {0 or 'index', 1 or 'columns'}, default 0
| Axis along which the level(s) is removed:
|
| * 0 or 'index': remove level(s) in column.
| * 1 or 'columns': remove level(s) in row.
|
| Returns
| -------
| Series/DataFrame
| Series/DataFrame with requested index / column level(s) removed.
|
| Examples
| --------
| >>> df = pd.DataFrame([
| ... [1, 2, 3, 4],
| ... [5, 6, 7, 8],
| ... [9, 10, 11, 12]
| ... ]).set_index([0, 1]).rename_axis(['a', 'b'])
|
| >>> df.columns = pd.MultiIndex.from_tuples([
| ... ('c', 'e'), ('d', 'f')
| ... ], names=['level_1', 'level_2'])
|
| >>> df
| level_1 c d
| level_2 e f
| a b
| 1 2 3 4
| 5 6 7 8
| 9 10 11 12
|
| >>> df.droplevel('a')
| level_1 c d
| level_2 e f
| b
| 2 3 4
| 6 7 8
| 10 11 12
|
| >>> df.droplevel('level_2', axis=1)
| level_1 c d
| a b
| 1 2 3 4
| 5 6 7 8
| 9 10 11 12
|
| equals(self, other: 'object') -> 'bool_t'
| Test whether two objects contain the same elements.
|
| This function allows two Series or DataFrames to be compared against
| each other to see if they have the same shape and elements. NaNs in
| the same location are considered equal.
|
| The row/column index do not need to have the same type, as long
| as the values are considered equal. Corresponding columns must be of
| the same dtype.
|
| Parameters
| ----------
| other : Series or DataFrame
| The other Series or DataFrame to be compared with the first.
|
| Returns
| -------
| bool
| True if all elements are the same in both objects, False
| otherwise.
|
| See Also
| --------
| Series.eq : Compare two Series objects of the same length
| and return a Series where each element is True if the element
| in each Series is equal, False otherwise.
| DataFrame.eq : Compare two DataFrame objects of the same shape and
| return a DataFrame where each element is True if the respective
| element in each DataFrame is equal, False otherwise.
| testing.assert_series_equal : Raises an AssertionError if left and
| right are not equal. Provides an easy interface to ignore
| inequality in dtypes, indexes and precision among others.
| testing.assert_frame_equal : Like assert_series_equal, but targets
| DataFrames.
| numpy.array_equal : Return True if two arrays have the same shape
| and elements, False otherwise.
|
| Examples
| --------
| >>> df = pd.DataFrame({1: [10], 2: [20]})
| >>> df
| 1 2
| 0 10 20
|
| DataFrames df and exactly_equal have the same types and values for
| their elements and column labels, which will return True.
|
| >>> exactly_equal = pd.DataFrame({1: [10], 2: [20]})
| >>> exactly_equal
| 1 2
| 0 10 20
| >>> df.equals(exactly_equal)
| True
|
| DataFrames df and different_column_type have the same element
| types and values, but have different types for the column labels,
| which will still return True.
|
| >>> different_column_type = pd.DataFrame({1.0: [10], 2.0: [20]})
| >>> different_column_type
| 1.0 2.0
| 0 10 20
| >>> df.equals(different_column_type)
| True
|
| DataFrames df and different_data_type have different types for the
| same values for their elements, and will return False even though
| their column labels are the same values and types.
|
| >>> different_data_type = pd.DataFrame({1: [10.0], 2: [20.0]})
| >>> different_data_type
| 1 2
| 0 10.0 20.0
| >>> df.equals(different_data_type)
| False
|
| ewm(self, com: 'float | None' = None, span: 'float | None' = None, halflife: 'float | TimedeltaConvertibleTypes | None' = None, alpha: 'float | None' = None, min_periods: 'int | None' = 0, adjust: 'bool_t' = True, ignore_na: 'bool_t' = False, axis: 'Axis' = 0, times: 'str | np.ndarray | FrameOrSeries | None' = None) -> 'ExponentialMovingWindow'
| Provide exponential weighted (EW) functions.
|
| Available EW functions: ``mean()``, ``var()``, ``std()``, ``corr()``, ``cov()``.
|
| Exactly one parameter: ``com``, ``span``, ``halflife``, or ``alpha`` must be
| provided.
|
| Parameters
| ----------
| com : float, optional
| Specify decay in terms of center of mass,
| :math:`\alpha = 1 / (1 + com)`, for :math:`com \geq 0`.
| span : float, optional
| Specify decay in terms of span,
| :math:`\alpha = 2 / (span + 1)`, for :math:`span \geq 1`.
| halflife : float, str, timedelta, optional
| Specify decay in terms of half-life,
| :math:`\alpha = 1 - \exp\left(-\ln(2) / halflife\right)`, for
| :math:`halflife > 0`.
|
| If ``times`` is specified, the time unit (str or timedelta) over which an
| observation decays to half its value. Only applicable to ``mean()``
| and halflife value will not apply to the other functions.
|
| .. versionadded:: 1.1.0
|
| alpha : float, optional
| Specify smoothing factor :math:`\alpha` directly,
| :math:`0 < \alpha \leq 1`.
| min_periods : int, default 0
| Minimum number of observations in window required to have a value
| (otherwise result is NA).
| adjust : bool, default True
| Divide by decaying adjustment factor in beginning periods to account
| for imbalance in relative weightings (viewing EWMA as a moving average).
|
| - When ``adjust=True`` (default), the EW function is calculated using weights
| :math:`w_i = (1 - \alpha)^i`. For example, the EW moving average of the series
| [:math:`x_0, x_1, ..., x_t`] would be:
|
| .. math::
| y_t = \frac{x_t + (1 - \alpha)x_{t-1} + (1 - \alpha)^2 x_{t-2} + ... + (1 -
| \alpha)^t x_0}{1 + (1 - \alpha) + (1 - \alpha)^2 + ... + (1 - \alpha)^t}
|
| - When ``adjust=False``, the exponentially weighted function is calculated
| recursively:
|
| .. math::
| \begin{split}
| y_0 &= x_0\\
| y_t &= (1 - \alpha) y_{t-1} + \alpha x_t,
| \end{split}
| ignore_na : bool, default False
| Ignore missing values when calculating weights; specify ``True`` to reproduce
| pre-0.15.0 behavior.
|
| - When ``ignore_na=False`` (default), weights are based on absolute positions.
| For example, the weights of :math:`x_0` and :math:`x_2` used in calculating
| the final weighted average of [:math:`x_0`, None, :math:`x_2`] are
| :math:`(1-\alpha)^2` and :math:`1` if ``adjust=True``, and
| :math:`(1-\alpha)^2` and :math:`\alpha` if ``adjust=False``.
|
| - When ``ignore_na=True`` (reproducing pre-0.15.0 behavior), weights are based
| on relative positions. For example, the weights of :math:`x_0` and :math:`x_2`
| used in calculating the final weighted average of
| [:math:`x_0`, None, :math:`x_2`] are :math:`1-\alpha` and :math:`1` if
| ``adjust=True``, and :math:`1-\alpha` and :math:`\alpha` if ``adjust=False``.
| axis : {0, 1}, default 0
| The axis to use. The value 0 identifies the rows, and 1
| identifies the columns.
| times : str, np.ndarray, Series, default None
|
| .. versionadded:: 1.1.0
|
| Times corresponding to the observations. Must be monotonically increasing and
| ``datetime64[ns]`` dtype.
|
| If str, the name of the column in the DataFrame representing the times.
|
| If 1-D array like, a sequence with the same shape as the observations.
|
| Only applicable to ``mean()``.
|
| Returns
| -------
| DataFrame
| A Window sub-classed for the particular operation.
|
| See Also
| --------
| rolling : Provides rolling window calculations.
| expanding : Provides expanding transformations.
|
| Notes
| -----
|
| More details can be found at:
| :ref:`Exponentially weighted windows <window.exponentially_weighted>`.
|
| Examples
| --------
| >>> df = pd.DataFrame({'B': [0, 1, 2, np.nan, 4]})
| >>> df
| B
| 0 0.0
| 1 1.0
| 2 2.0
| 3 NaN
| 4 4.0
|
| >>> df.ewm(com=0.5).mean()
| B
| 0 0.000000
| 1 0.750000
| 2 1.615385
| 3 1.615385
| 4 3.670213
|
| Specifying ``times`` with a timedelta ``halflife`` when computing mean.
|
| >>> times = ['2020-01-01', '2020-01-03', '2020-01-10', '2020-01-15', '2020-01-17']
| >>> df.ewm(halflife='4 days', times=pd.DatetimeIndex(times)).mean()
| B
| 0 0.000000
| 1 0.585786
| 2 1.523889
| 3 1.523889
| 4 3.233686
|
| expanding(self, min_periods: 'int' = 1, center: 'bool_t | None' = None, axis: 'Axis' = 0, method: 'str' = 'single') -> 'Expanding'
| Provide expanding transformations.
|
| Parameters
| ----------
| min_periods : int, default 1
| Minimum number of observations in window required to have a value
| (otherwise result is NA).
| center : bool, default False
| Set the labels at the center of the window.
| axis : int or str, default 0
| method : str {'single', 'table'}, default 'single'
| Execute the rolling operation per single column or row (``'single'``)
| or over the entire object (``'table'``).
|
| This argument is only implemented when specifying ``engine='numba'``
| in the method call.
|
| .. versionadded:: 1.3.0
|
| Returns
| -------
| a Window sub-classed for the particular operation
|
| See Also
| --------
| rolling : Provides rolling window calculations.
| ewm : Provides exponential weighted functions.
|
| Notes
| -----
| By default, the result is set to the right edge of the window. This can be
| changed to the center of the window by setting ``center=True``.
|
| Examples
| --------
| >>> df = pd.DataFrame({"B": [0, 1, 2, np.nan, 4]})
| >>> df
| B
| 0 0.0
| 1 1.0
| 2 2.0
| 3 NaN
| 4 4.0
|
| >>> df.expanding(2).sum()
| B
| 0 NaN
| 1 1.0
| 2 3.0
| 3 3.0
| 4 7.0
|
| filter(self: 'FrameOrSeries', items=None, like: 'str | None' = None, regex: 'str | None' = None, axis=None) -> 'FrameOrSeries'
| Subset the dataframe rows or columns according to the specified index labels.
|
| Note that this routine does not filter a dataframe on its
| contents. The filter is applied to the labels of the index.
|
| Parameters
| ----------
| items : list-like
| Keep labels from axis which are in items.
| like : str
| Keep labels from axis for which "like in label == True".
| regex : str (regular expression)
| Keep labels from axis for which re.search(regex, label) == True.
| axis : {0 or ‘index’, 1 or ‘columns’, None}, default None
| The axis to filter on, expressed either as an index (int)
| or axis name (str). By default this is the info axis,
| 'index' for Series, 'columns' for DataFrame.
|
| Returns
| -------
| same type as input object
|
| See Also
| --------
| DataFrame.loc : Access a group of rows and columns
| by label(s) or a boolean array.
|
| Notes
| -----
| The ``items``, ``like``, and ``regex`` parameters are
| enforced to be mutually exclusive.
|
| ``axis`` defaults to the info axis that is used when indexing
| with ``[]``.
|
| Examples
| --------
| >>> df = pd.DataFrame(np.array(([1, 2, 3], [4, 5, 6])),
| ... index=['mouse', 'rabbit'],
| ... columns=['one', 'two', 'three'])
| >>> df
| one two three
| mouse 1 2 3
| rabbit 4 5 6
|
| >>> # select columns by name
| >>> df.filter(items=['one', 'three'])
| one three
| mouse 1 3
| rabbit 4 6
|
| >>> # select columns by regular expression
| >>> df.filter(regex='e$', axis=1)
| one three
| mouse 1 3
| rabbit 4 6
|
| >>> # select rows containing 'bbi'
| >>> df.filter(like='bbi', axis=0)
| one two three
| rabbit 4 5 6
|
| first(self: 'FrameOrSeries', offset) -> 'FrameOrSeries'
| Select initial periods of time series data based on a date offset.
|
| When having a DataFrame with dates as index, this function can
| select the first few rows based on a date offset.
|
| Parameters
| ----------
| offset : str, DateOffset or dateutil.relativedelta
| The offset length of the data that will be selected. For instance,
| '1M' will display all the rows having their index within the first month.
|
| Returns
| -------
| Series or DataFrame
| A subset of the caller.
|
| Raises
| ------
| TypeError
| If the index is not a :class:`DatetimeIndex`
|
| See Also
| --------
| last : Select final periods of time series based on a date offset.
| at_time : Select values at a particular time of the day.
| between_time : Select values between particular times of the day.
|
| Examples
| --------
| >>> i = pd.date_range('2018-04-09', periods=4, freq='2D')
| >>> ts = pd.DataFrame({'A': [1, 2, 3, 4]}, index=i)
| >>> ts
| A
| 2018-04-09 1
| 2018-04-11 2
| 2018-04-13 3
| 2018-04-15 4
|
| Get the rows for the first 3 days:
|
| >>> ts.first('3D')
| A
| 2018-04-09 1
| 2018-04-11 2
|
| Notice the data for 3 first calendar days were returned, not the first
| 3 days observed in the dataset, and therefore data for 2018-04-13 was
| not returned.
|
| first_valid_index(self) -> 'Hashable | None'
| Return index for first non-NA value or None, if no NA value is found.
|
| Returns
| -------
| scalar : type of index
|
| Notes
| -----
| If all elements are non-NA/null, returns None.
| Also returns None for empty Series/DataFrame.
|
| get(self, key, default=None)
| Get item from object for given key (ex: DataFrame column).
|
| Returns default value if not found.
|
| Parameters
| ----------
| key : object
|
| Returns
| -------
| value : same type as items contained in object
|
| head(self: 'FrameOrSeries', n: 'int' = 5) -> 'FrameOrSeries'
| Return the first `n` rows.
|
| This function returns the first `n` rows for the object based
| on position. It is useful for quickly testing if your object
| has the right type of data in it.
|
| For negative values of `n`, this function returns all rows except
| the last `n` rows, equivalent to ``df[:-n]``.
|
| Parameters
| ----------
| n : int, default 5
| Number of rows to select.
|
| Returns
| -------
| same type as caller
| The first `n` rows of the caller object.
|
| See Also
| --------
| DataFrame.tail: Returns the last `n` rows.
|
| Examples
| --------
| >>> df = pd.DataFrame({'animal': ['alligator', 'bee', 'falcon', 'lion',
| ... 'monkey', 'parrot', 'shark', 'whale', 'zebra']})
| >>> df
| animal
| 0 alligator
| 1 bee
| 2 falcon
| 3 lion
| 4 monkey
| 5 parrot
| 6 shark
| 7 whale
| 8 zebra
|
| Viewing the first 5 lines
|
| >>> df.head()
| animal
| 0 alligator
| 1 bee
| 2 falcon
| 3 lion
| 4 monkey
|
| Viewing the first `n` lines (three in this case)
|
| >>> df.head(3)
| animal
| 0 alligator
| 1 bee
| 2 falcon
|
| For negative values of `n`
|
| >>> df.head(-3)
| animal
| 0 alligator
| 1 bee
| 2 falcon
| 3 lion
| 4 monkey
| 5 parrot
|
| infer_objects(self: 'FrameOrSeries') -> 'FrameOrSeries'
| Attempt to infer better dtypes for object columns.
|
| Attempts soft conversion of object-dtyped
| columns, leaving non-object and unconvertible
| columns unchanged. The inference rules are the
| same as during normal Series/DataFrame construction.
|
| Returns
| -------
| converted : same type as input object
|
| See Also
| --------
| to_datetime : Convert argument to datetime.
| to_timedelta : Convert argument to timedelta.
| to_numeric : Convert argument to numeric type.
| convert_dtypes : Convert argument to best possible dtype.
|
| Examples
| --------
| >>> df = pd.DataFrame({"A": ["a", 1, 2, 3]})
| >>> df = df.iloc[1:]
| >>> df
| A
| 1 1
| 2 2
| 3 3
|
| >>> df.dtypes
| A object
| dtype: object
|
| >>> df.infer_objects().dtypes
| A int64
| dtype: object
|
| keys(self)
| Get the 'info axis' (see Indexing for more).
|
| This is index for Series, columns for DataFrame.
|
| Returns
| -------
| Index
| Info axis.
|
| last(self: 'FrameOrSeries', offset) -> 'FrameOrSeries'
| Select final periods of time series data based on a date offset.
|
| For a DataFrame with a sorted DatetimeIndex, this function
| selects the last few rows based on a date offset.
|
| Parameters
| ----------
| offset : str, DateOffset, dateutil.relativedelta
| The offset length of the data that will be selected. For instance,
| '3D' will display all the rows having their index within the last 3 days.
|
| Returns
| -------
| Series or DataFrame
| A subset of the caller.
|
| Raises
| ------
| TypeError
| If the index is not a :class:`DatetimeIndex`
|
| See Also
| --------
| first : Select initial periods of time series based on a date offset.
| at_time : Select values at a particular time of the day.
| between_time : Select values between particular times of the day.
|
| Examples
| --------
| >>> i = pd.date_range('2018-04-09', periods=4, freq='2D')
| >>> ts = pd.DataFrame({'A': [1, 2, 3, 4]}, index=i)
| >>> ts
| A
| 2018-04-09 1
| 2018-04-11 2
| 2018-04-13 3
| 2018-04-15 4
|
| Get the rows for the last 3 days:
|
| >>> ts.last('3D')
| A
| 2018-04-13 3
| 2018-04-15 4
|
| Notice the data for 3 last calendar days were returned, not the last
| 3 observed days in the dataset, and therefore data for 2018-04-11 was
| not returned.
|
| last_valid_index(self) -> 'Hashable | None'
| Return index for last non-NA value or None, if no NA value is found.
|
| Returns
| -------
| scalar : type of index
|
| Notes
| -----
| If all elements are non-NA/null, returns None.
| Also returns None for empty Series/DataFrame.
|
| pad = ffill(self: 'FrameOrSeries', axis: 'None | Axis' = None, inplace: 'bool_t' = False, limit: 'None | int' = None, downcast=None) -> 'FrameOrSeries | None'
| Synonym for :meth:`DataFrame.fillna` with ``method='ffill'``.
|
| Returns
| -------
| Series/DataFrame or None
| Object with missing values filled or None if ``inplace=True``.
|
| pct_change(self: 'FrameOrSeries', periods=1, fill_method='pad', limit=None, freq=None, **kwargs) -> 'FrameOrSeries'
| Percentage change between the current and a prior element.
|
| Computes the percentage change from the immediately previous row by
| default. This is useful in comparing the percentage of change in a time
| series of elements.
|
| Parameters
| ----------
| periods : int, default 1
| Periods to shift for forming percent change.
| fill_method : str, default 'pad'
| How to handle NAs before computing percent changes.
| limit : int, default None
| The number of consecutive NAs to fill before stopping.
| freq : DateOffset, timedelta, or str, optional
| Increment to use from time series API (e.g. 'M' or BDay()).
| **kwargs
| Additional keyword arguments are passed into
| `DataFrame.shift` or `Series.shift`.
|
| Returns
| -------
| chg : Series or DataFrame
| The same type as the calling object.
|
| See Also
| --------
| Series.diff : Compute the difference of two elements in a Series.
| DataFrame.diff : Compute the difference of two elements in a DataFrame.
| Series.shift : Shift the index by some number of periods.
| DataFrame.shift : Shift the index by some number of periods.
|
| Examples
| --------
| **Series**
|
| >>> s = pd.Series([90, 91, 85])
| >>> s
| 0 90
| 1 91
| 2 85
| dtype: int64
|
| >>> s.pct_change()
| 0 NaN
| 1 0.011111
| 2 -0.065934
| dtype: float64
|
| >>> s.pct_change(periods=2)
| 0 NaN
| 1 NaN
| 2 -0.055556
| dtype: float64
|
| See the percentage change in a Series where filling NAs with last
| valid observation forward to next valid.
|
| >>> s = pd.Series([90, 91, None, 85])
| >>> s
| 0 90.0
| 1 91.0
| 2 NaN
| 3 85.0
| dtype: float64
|
| >>> s.pct_change(fill_method='ffill')
| 0 NaN
| 1 0.011111
| 2 0.000000
| 3 -0.065934
| dtype: float64
|
| **DataFrame**
|
| Percentage change in French franc, Deutsche Mark, and Italian lira from
| 1980-01-01 to 1980-03-01.
|
| >>> df = pd.DataFrame({
| ... 'FR': [4.0405, 4.0963, 4.3149],
| ... 'GR': [1.7246, 1.7482, 1.8519],
| ... 'IT': [804.74, 810.01, 860.13]},
| ... index=['1980-01-01', '1980-02-01', '1980-03-01'])
| >>> df
| FR GR IT
| 1980-01-01 4.0405 1.7246 804.74
| 1980-02-01 4.0963 1.7482 810.01
| 1980-03-01 4.3149 1.8519 860.13
|
| >>> df.pct_change()
| FR GR IT
| 1980-01-01 NaN NaN NaN
| 1980-02-01 0.013810 0.013684 0.006549
| 1980-03-01 0.053365 0.059318 0.061876
|
| Percentage of change in GOOG and APPL stock volume. Shows computing
| the percentage change between columns.
|
| >>> df = pd.DataFrame({
| ... '2016': [1769950, 30586265],
| ... '2015': [1500923, 40912316],
| ... '2014': [1371819, 41403351]},
| ... index=['GOOG', 'APPL'])
| >>> df
| 2016 2015 2014
| GOOG 1769950 1500923 1371819
| APPL 30586265 40912316 41403351
|
| >>> df.pct_change(axis='columns', periods=-1)
| 2016 2015 2014
| GOOG 0.179241 0.094112 NaN
| APPL -0.252395 -0.011860 NaN
|
| pipe(self, func: 'Callable[..., T] | tuple[Callable[..., T], str]', *args, **kwargs) -> 'T'
| Apply func(self, \*args, \*\*kwargs).
|
| Parameters
| ----------
| func : function
| Function to apply to the Series/DataFrame.
| ``args``, and ``kwargs`` are passed into ``func``.
| Alternatively a ``(callable, data_keyword)`` tuple where
| ``data_keyword`` is a string indicating the keyword of
| ``callable`` that expects the Series/DataFrame.
| args : iterable, optional
| Positional arguments passed into ``func``.
| kwargs : mapping, optional
| A dictionary of keyword arguments passed into ``func``.
|
| Returns
| -------
| object : the return type of ``func``.
|
| See Also
| --------
| DataFrame.apply : Apply a function along input axis of DataFrame.
| DataFrame.applymap : Apply a function elementwise on a whole DataFrame.
| Series.map : Apply a mapping correspondence on a
| :class:`~pandas.Series`.
|
| Notes
| -----
| Use ``.pipe`` when chaining together functions that expect
| Series, DataFrames or GroupBy objects. Instead of writing
|
| >>> func(g(h(df), arg1=a), arg2=b, arg3=c) # doctest: +SKIP
|
| You can write
|
| >>> (df.pipe(h)
| ... .pipe(g, arg1=a)
| ... .pipe(func, arg2=b, arg3=c)
| ... ) # doctest: +SKIP
|
| If you have a function that takes the data as (say) the second
| argument, pass a tuple indicating which keyword expects the
| data. For example, suppose ``f`` takes its data as ``arg2``:
|
| >>> (df.pipe(h)
| ... .pipe(g, arg1=a)
| ... .pipe((func, 'arg2'), arg1=a, arg3=c)
| ... ) # doctest: +SKIP
|
| rank(self: 'FrameOrSeries', axis=0, method: 'str' = 'average', numeric_only: 'bool_t | None' = None, na_option: 'str' = 'keep', ascending: 'bool_t' = True, pct: 'bool_t' = False) -> 'FrameOrSeries'
| Compute numerical data ranks (1 through n) along axis.
|
| By default, equal values are assigned a rank that is the average of the
| ranks of those values.
|
| Parameters
| ----------
| axis : {0 or 'index', 1 or 'columns'}, default 0
| Index to direct ranking.
| method : {'average', 'min', 'max', 'first', 'dense'}, default 'average'
| How to rank the group of records that have the same value (i.e. ties):
|
| * average: average rank of the group
| * min: lowest rank in the group
| * max: highest rank in the group
| * first: ranks assigned in order they appear in the array
| * dense: like 'min', but rank always increases by 1 between groups.
|
| numeric_only : bool, optional
| For DataFrame objects, rank only numeric columns if set to True.
| na_option : {'keep', 'top', 'bottom'}, default 'keep'
| How to rank NaN values:
|
| * keep: assign NaN rank to NaN values
| * top: assign lowest rank to NaN values
| * bottom: assign highest rank to NaN values
|
| ascending : bool, default True
| Whether or not the elements should be ranked in ascending order.
| pct : bool, default False
| Whether or not to display the returned rankings in percentile
| form.
|
| Returns
| -------
| same type as caller
| Return a Series or DataFrame with data ranks as values.
|
| See Also
| --------
| core.groupby.GroupBy.rank : Rank of values within each group.
|
| Examples
| --------
| >>> df = pd.DataFrame(data={'Animal': ['cat', 'penguin', 'dog',
| ... 'spider', 'snake'],
| ... 'Number_legs': [4, 2, 4, 8, np.nan]})
| >>> df
| Animal Number_legs
| 0 cat 4.0
| 1 penguin 2.0
| 2 dog 4.0
| 3 spider 8.0
| 4 snake NaN
|
| The following example shows how the method behaves with the above
| parameters:
|
| * default_rank: this is the default behaviour obtained without using
| any parameter.
| * max_rank: setting ``method = 'max'`` the records that have the
| same values are ranked using the highest rank (e.g.: since 'cat'
| and 'dog' are both in the 2nd and 3rd position, rank 3 is assigned.)
| * NA_bottom: choosing ``na_option = 'bottom'``, if there are records
| with NaN values they are placed at the bottom of the ranking.
| * pct_rank: when setting ``pct = True``, the ranking is expressed as
| percentile rank.
|
| >>> df['default_rank'] = df['Number_legs'].rank()
| >>> df['max_rank'] = df['Number_legs'].rank(method='max')
| >>> df['NA_bottom'] = df['Number_legs'].rank(na_option='bottom')
| >>> df['pct_rank'] = df['Number_legs'].rank(pct=True)
| >>> df
| Animal Number_legs default_rank max_rank NA_bottom pct_rank
| 0 cat 4.0 2.5 3.0 2.5 0.625
| 1 penguin 2.0 1.0 1.0 1.0 0.250
| 2 dog 4.0 2.5 3.0 2.5 0.625
| 3 spider 8.0 4.0 4.0 4.0 1.000
| 4 snake NaN NaN NaN 5.0 NaN
|
| reindex_like(self: 'FrameOrSeries', other, method: 'str | None' = None, copy: 'bool_t' = True, limit=None, tolerance=None) -> 'FrameOrSeries'
| Return an object with matching indices as other object.
|
| Conform the object to the same index on all axes. Optional
| filling logic, placing NaN in locations having no value
| in the previous index. A new object is produced unless the
| new index is equivalent to the current one and copy=False.
|
| Parameters
| ----------
| other : Object of the same data type
| Its row and column indices are used to define the new indices
| of this object.
| method : {None, 'backfill'/'bfill', 'pad'/'ffill', 'nearest'}
| Method to use for filling holes in reindexed DataFrame.
| Please note: this is only applicable to DataFrames/Series with a
| monotonically increasing/decreasing index.
|
| * None (default): don't fill gaps
| * pad / ffill: propagate last valid observation forward to next
| valid
| * backfill / bfill: use next valid observation to fill gap
| * nearest: use nearest valid observations to fill gap.
|
| copy : bool, default True
| Return a new object, even if the passed indexes are the same.
| limit : int, default None
| Maximum number of consecutive labels to fill for inexact matches.
| tolerance : optional
| Maximum distance between original and new labels for inexact
| matches. The values of the index at the matching locations must
| satisfy the equation ``abs(index[indexer] - target) <= tolerance``.
|
| Tolerance may be a scalar value, which applies the same tolerance
| to all values, or list-like, which applies variable tolerance per
| element. List-like includes list, tuple, array, Series, and must be
| the same size as the index and its dtype must exactly match the
| index's type.
|
| Returns
| -------
| Series or DataFrame
| Same type as caller, but with changed indices on each axis.
|
| See Also
| --------
| DataFrame.set_index : Set row labels.
| DataFrame.reset_index : Remove row labels or move them to new columns.
| DataFrame.reindex : Change to new indices or expand indices.
|
| Notes
| -----
| Same as calling
| ``.reindex(index=other.index, columns=other.columns,...)``.
|
| Examples
| --------
| >>> df1 = pd.DataFrame([[24.3, 75.7, 'high'],
| ... [31, 87.8, 'high'],
| ... [22, 71.6, 'medium'],
| ... [35, 95, 'medium']],
| ... columns=['temp_celsius', 'temp_fahrenheit',
| ... 'windspeed'],
| ... index=pd.date_range(start='2014-02-12',
| ... end='2014-02-15', freq='D'))
|
| >>> df1
| temp_celsius temp_fahrenheit windspeed
| 2014-02-12 24.3 75.7 high
| 2014-02-13 31.0 87.8 high
| 2014-02-14 22.0 71.6 medium
| 2014-02-15 35.0 95.0 medium
|
| >>> df2 = pd.DataFrame([[28, 'low'],
| ... [30, 'low'],
| ... [35.1, 'medium']],
| ... columns=['temp_celsius', 'windspeed'],
| ... index=pd.DatetimeIndex(['2014-02-12', '2014-02-13',
| ... '2014-02-15']))
|
| >>> df2
| temp_celsius windspeed
| 2014-02-12 28.0 low
| 2014-02-13 30.0 low
| 2014-02-15 35.1 medium
|
| >>> df2.reindex_like(df1)
| temp_celsius temp_fahrenheit windspeed
| 2014-02-12 28.0 NaN low
| 2014-02-13 30.0 NaN low
| 2014-02-14 NaN NaN NaN
| 2014-02-15 35.1 NaN medium
|
| rename_axis(self, mapper=None, index=None, columns=None, axis=None, copy=True, inplace=False)
| Set the name of the axis for the index or columns.
|
| Parameters
| ----------
| mapper : scalar, list-like, optional
| Value to set the axis name attribute.
| index, columns : scalar, list-like, dict-like or function, optional
| A scalar, list-like, dict-like or functions transformations to
| apply to that axis' values.
| Note that the ``columns`` parameter is not allowed if the
| object is a Series. This parameter only apply for DataFrame
| type objects.
|
| Use either ``mapper`` and ``axis`` to
| specify the axis to target with ``mapper``, or ``index``
| and/or ``columns``.
| axis : {0 or 'index', 1 or 'columns'}, default 0
| The axis to rename.
| copy : bool, default True
| Also copy underlying data.
| inplace : bool, default False
| Modifies the object directly, instead of creating a new Series
| or DataFrame.
|
| Returns
| -------
| Series, DataFrame, or None
| The same type as the caller or None if ``inplace=True``.
|
| See Also
| --------
| Series.rename : Alter Series index labels or name.
| DataFrame.rename : Alter DataFrame index labels or name.
| Index.rename : Set new names on index.
|
| Notes
| -----
| ``DataFrame.rename_axis`` supports two calling conventions
|
| * ``(index=index_mapper, columns=columns_mapper, ...)``
| * ``(mapper, axis={'index', 'columns'}, ...)``
|
| The first calling convention will only modify the names of
| the index and/or the names of the Index object that is the columns.
| In this case, the parameter ``copy`` is ignored.
|
| The second calling convention will modify the names of the
| corresponding index if mapper is a list or a scalar.
| However, if mapper is dict-like or a function, it will use the
| deprecated behavior of modifying the axis *labels*.
|
| We *highly* recommend using keyword arguments to clarify your
| intent.
|
| Examples
| --------
| **Series**
|
| >>> s = pd.Series(["dog", "cat", "monkey"])
| >>> s
| 0 dog
| 1 cat
| 2 monkey
| dtype: object
| >>> s.rename_axis("animal")
| animal
| 0 dog
| 1 cat
| 2 monkey
| dtype: object
|
| **DataFrame**
|
| >>> df = pd.DataFrame({"num_legs": [4, 4, 2],
| ... "num_arms": [0, 0, 2]},
| ... ["dog", "cat", "monkey"])
| >>> df
| num_legs num_arms
| dog 4 0
| cat 4 0
| monkey 2 2
| >>> df = df.rename_axis("animal")
| >>> df
| num_legs num_arms
| animal
| dog 4 0
| cat 4 0
| monkey 2 2
| >>> df = df.rename_axis("limbs", axis="columns")
| >>> df
| limbs num_legs num_arms
| animal
| dog 4 0
| cat 4 0
| monkey 2 2
|
| **MultiIndex**
|
| >>> df.index = pd.MultiIndex.from_product([['mammal'],
| ... ['dog', 'cat', 'monkey']],
| ... names=['type', 'name'])
| >>> df
| limbs num_legs num_arms
| type name
| mammal dog 4 0
| cat 4 0
| monkey 2 2
|
| >>> df.rename_axis(index={'type': 'class'})
| limbs num_legs num_arms
| class name
| mammal dog 4 0
| cat 4 0
| monkey 2 2
|
| >>> df.rename_axis(columns=str.upper)
| LIMBS num_legs num_arms
| type name
| mammal dog 4 0
| cat 4 0
| monkey 2 2
|
| rolling(self, window: 'int | timedelta | BaseOffset | BaseIndexer', min_periods: 'int | None' = None, center: 'bool_t' = False, win_type: 'str | None' = None, on: 'str | None' = None, axis: 'Axis' = 0, closed: 'str | None' = None, method: 'str' = 'single')
| Provide rolling window calculations.
|
| Parameters
| ----------
| window : int, offset, or BaseIndexer subclass
| Size of the moving window. This is the number of observations used for
| calculating the statistic. Each window will be a fixed size.
|
| If its an offset then this will be the time period of each window. Each
| window will be a variable sized based on the observations included in
| the time-period. This is only valid for datetimelike indexes.
|
| If a BaseIndexer subclass is passed, calculates the window boundaries
| based on the defined ``get_window_bounds`` method. Additional rolling
| keyword arguments, namely `min_periods`, `center`, and
| `closed` will be passed to `get_window_bounds`.
| min_periods : int, default None
| Minimum number of observations in window required to have a value
| (otherwise result is NA). For a window that is specified by an offset,
| `min_periods` will default to 1. Otherwise, `min_periods` will default
| to the size of the window.
| center : bool, default False
| Set the labels at the center of the window.
| win_type : str, default None
| Provide a window type. If ``None``, all points are evenly weighted.
| See the notes below for further information.
| on : str, optional
| For a DataFrame, a datetime-like column or Index level on which
| to calculate the rolling window, rather than the DataFrame's index.
| Provided integer column is ignored and excluded from result since
| an integer index is not used to calculate the rolling window.
| axis : int or str, default 0
| closed : str, default None
| Make the interval closed on the 'right', 'left', 'both' or
| 'neither' endpoints. Defaults to 'right'.
|
| .. versionchanged:: 1.2.0
|
| The closed parameter with fixed windows is now supported.
| method : str {'single', 'table'}, default 'single'
| Execute the rolling operation per single column or row (``'single'``)
| or over the entire object (``'table'``).
|
| This argument is only implemented when specifying ``engine='numba'``
| in the method call.
|
| .. versionadded:: 1.3.0
|
| Returns
| -------
| a Window or Rolling sub-classed for the particular operation
|
| See Also
| --------
| expanding : Provides expanding transformations.
| ewm : Provides exponential weighted functions.
|
| Notes
| -----
| By default, the result is set to the right edge of the window. This can be
| changed to the center of the window by setting ``center=True``.
|
| To learn more about the offsets & frequency strings, please see `this link
| <https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
|
| If ``win_type=None``, all points are evenly weighted; otherwise, ``win_type``
| can accept a string of any `scipy.signal window function
| <https://docs.scipy.org/doc/scipy/reference/signal.windows.html#module-scipy.signal.windows>`__.
|
| Certain Scipy window types require additional parameters to be passed
| in the aggregation function. The additional parameters must match
| the keywords specified in the Scipy window type method signature.
| Please see the third example below on how to add the additional parameters.
|
| Examples
| --------
| >>> df = pd.DataFrame({'B': [0, 1, 2, np.nan, 4]})
| >>> df
| B
| 0 0.0
| 1 1.0
| 2 2.0
| 3 NaN
| 4 4.0
|
| Rolling sum with a window length of 2, using the 'triang'
| window type.
|
| >>> df.rolling(2, win_type='triang').sum()
| B
| 0 NaN
| 1 0.5
| 2 1.5
| 3 NaN
| 4 NaN
|
| Rolling sum with a window length of 2, using the 'gaussian'
| window type (note how we need to specify std).
|
| >>> df.rolling(2, win_type='gaussian').sum(std=3)
| B
| 0 NaN
| 1 0.986207
| 2 2.958621
| 3 NaN
| 4 NaN
|
| Rolling sum with a window length of 2, min_periods defaults
| to the window length.
|
| >>> df.rolling(2).sum()
| B
| 0 NaN
| 1 1.0
| 2 3.0
| 3 NaN
| 4 NaN
|
| Same as above, but explicitly set the min_periods
|
| >>> df.rolling(2, min_periods=1).sum()
| B
| 0 0.0
| 1 1.0
| 2 3.0
| 3 2.0
| 4 4.0
|
| Same as above, but with forward-looking windows
|
| >>> indexer = pd.api.indexers.FixedForwardWindowIndexer(window_size=2)
| >>> df.rolling(window=indexer, min_periods=1).sum()
| B
| 0 1.0
| 1 3.0
| 2 2.0
| 3 4.0
| 4 4.0
|
| A ragged (meaning not-a-regular frequency), time-indexed DataFrame
|
| >>> df = pd.DataFrame({'B': [0, 1, 2, np.nan, 4]},
| ... index = [pd.Timestamp('20130101 09:00:00'),
| ... pd.Timestamp('20130101 09:00:02'),
| ... pd.Timestamp('20130101 09:00:03'),
| ... pd.Timestamp('20130101 09:00:05'),
| ... pd.Timestamp('20130101 09:00:06')])
|
| >>> df
| B
| 2013-01-01 09:00:00 0.0
| 2013-01-01 09:00:02 1.0
| 2013-01-01 09:00:03 2.0
| 2013-01-01 09:00:05 NaN
| 2013-01-01 09:00:06 4.0
|
| Contrasting to an integer rolling window, this will roll a variable
| length window corresponding to the time period.
| The default for min_periods is 1.
|
| >>> df.rolling('2s').sum()
| B
| 2013-01-01 09:00:00 0.0
| 2013-01-01 09:00:02 1.0
| 2013-01-01 09:00:03 3.0
| 2013-01-01 09:00:05 NaN
| 2013-01-01 09:00:06 4.0
|
| sample(self: 'FrameOrSeries', n=None, frac: 'float | None' = None, replace: 'bool_t' = False, weights=None, random_state=None, axis: 'Axis | None' = None, ignore_index: 'bool_t' = False) -> 'FrameOrSeries'
| Return a random sample of items from an axis of object.
|
| You can use `random_state` for reproducibility.
|
| Parameters
| ----------
| n : int, optional
| Number of items from axis to return. Cannot be used with `frac`.
| Default = 1 if `frac` = None.
| frac : float, optional
| Fraction of axis items to return. Cannot be used with `n`.
| replace : bool, default False
| Allow or disallow sampling of the same row more than once.
| weights : str or ndarray-like, optional
| Default 'None' results in equal probability weighting.
| If passed a Series, will align with target object on index. Index
| values in weights not found in sampled object will be ignored and
| index values in sampled object not in weights will be assigned
| weights of zero.
| If called on a DataFrame, will accept the name of a column
| when axis = 0.
| Unless weights are a Series, weights must be same length as axis
| being sampled.
| If weights do not sum to 1, they will be normalized to sum to 1.
| Missing values in the weights column will be treated as zero.
| Infinite values not allowed.
| random_state : int, array-like, BitGenerator, np.random.RandomState, optional
| If int, array-like, or BitGenerator (NumPy>=1.17), seed for
| random number generator
| If np.random.RandomState, use as numpy RandomState object.
|
| .. versionchanged:: 1.1.0
|
| array-like and BitGenerator (for NumPy>=1.17) object now passed to
| np.random.RandomState() as seed
|
| axis : {0 or ‘index’, 1 or ‘columns’, None}, default None
| Axis to sample. Accepts axis number or name. Default is stat axis
| for given data type (0 for Series and DataFrames).
| ignore_index : bool, default False
| If True, the resulting index will be labeled 0, 1, …, n - 1.
|
| .. versionadded:: 1.3.0
|
| Returns
| -------
| Series or DataFrame
| A new object of same type as caller containing `n` items randomly
| sampled from the caller object.
|
| See Also
| --------
| DataFrameGroupBy.sample: Generates random samples from each group of a
| DataFrame object.
| SeriesGroupBy.sample: Generates random samples from each group of a
| Series object.
| numpy.random.choice: Generates a random sample from a given 1-D numpy
| array.
|
| Notes
| -----
| If `frac` > 1, `replacement` should be set to `True`.
|
| Examples
| --------
| >>> df = pd.DataFrame({'num_legs': [2, 4, 8, 0],
| ... 'num_wings': [2, 0, 0, 0],
| ... 'num_specimen_seen': [10, 2, 1, 8]},
| ... index=['falcon', 'dog', 'spider', 'fish'])
| >>> df
| num_legs num_wings num_specimen_seen
| falcon 2 2 10
| dog 4 0 2
| spider 8 0 1
| fish 0 0 8
|
| Extract 3 random elements from the ``Series`` ``df['num_legs']``:
| Note that we use `random_state` to ensure the reproducibility of
| the examples.
|
| >>> df['num_legs'].sample(n=3, random_state=1)
| fish 0
| spider 8
| falcon 2
| Name: num_legs, dtype: int64
|
| A random 50% sample of the ``DataFrame`` with replacement:
|
| >>> df.sample(frac=0.5, replace=True, random_state=1)
| num_legs num_wings num_specimen_seen
| dog 4 0 2
| fish 0 0 8
|
| An upsample sample of the ``DataFrame`` with replacement:
| Note that `replace` parameter has to be `True` for `frac` parameter > 1.
|
| >>> df.sample(frac=2, replace=True, random_state=1)
| num_legs num_wings num_specimen_seen
| dog 4 0 2
| fish 0 0 8
| falcon 2 2 10
| falcon 2 2 10
| fish 0 0 8
| dog 4 0 2
| fish 0 0 8
| dog 4 0 2
|
| Using a DataFrame column as weights. Rows with larger value in the
| `num_specimen_seen` column are more likely to be sampled.
|
| >>> df.sample(n=2, weights='num_specimen_seen', random_state=1)
| num_legs num_wings num_specimen_seen
| falcon 2 2 10
| fish 0 0 8
|
| set_flags(self: 'FrameOrSeries', *, copy: 'bool_t' = False, allows_duplicate_labels: 'bool_t | None' = None) -> 'FrameOrSeries'
| Return a new object with updated flags.
|
| Parameters
| ----------
| allows_duplicate_labels : bool, optional
| Whether the returned object allows duplicate labels.
|
| Returns
| -------
| Series or DataFrame
| The same type as the caller.
|
| See Also
| --------
| DataFrame.attrs : Global metadata applying to this dataset.
| DataFrame.flags : Global flags applying to this object.
|
| Notes
| -----
| This method returns a new object that's a view on the same data
| as the input. Mutating the input or the output values will be reflected
| in the other.
|
| This method is intended to be used in method chains.
|
| "Flags" differ from "metadata". Flags reflect properties of the
| pandas object (the Series or DataFrame). Metadata refer to properties
| of the dataset, and should be stored in :attr:`DataFrame.attrs`.
|
| Examples
| --------
| >>> df = pd.DataFrame({"A": [1, 2]})
| >>> df.flags.allows_duplicate_labels
| True
| >>> df2 = df.set_flags(allows_duplicate_labels=False)
| >>> df2.flags.allows_duplicate_labels
| False
|
| slice_shift(self: 'FrameOrSeries', periods: 'int' = 1, axis=0) -> 'FrameOrSeries'
| Equivalent to `shift` without copying data.
| The shifted data will not include the dropped periods and the
| shifted axis will be smaller than the original.
|
| .. deprecated:: 1.2.0
| slice_shift is deprecated,
| use DataFrame/Series.shift instead.
|
| Parameters
| ----------
| periods : int
| Number of periods to move, can be positive or negative.
|
| Returns
| -------
| shifted : same type as caller
|
| Notes
| -----
| While the `slice_shift` is faster than `shift`, you may pay for it
| later during alignment.
|
| squeeze(self, axis=None)
| Squeeze 1 dimensional axis objects into scalars.
|
| Series or DataFrames with a single element are squeezed to a scalar.
| DataFrames with a single column or a single row are squeezed to a
| Series. Otherwise the object is unchanged.
|
| This method is most useful when you don't know if your
| object is a Series or DataFrame, but you do know it has just a single
| column. In that case you can safely call `squeeze` to ensure you have a
| Series.
|
| Parameters
| ----------
| axis : {0 or 'index', 1 or 'columns', None}, default None
| A specific axis to squeeze. By default, all length-1 axes are
| squeezed.
|
| Returns
| -------
| DataFrame, Series, or scalar
| The projection after squeezing `axis` or all the axes.
|
| See Also
| --------
| Series.iloc : Integer-location based indexing for selecting scalars.
| DataFrame.iloc : Integer-location based indexing for selecting Series.
| Series.to_frame : Inverse of DataFrame.squeeze for a
| single-column DataFrame.
|
| Examples
| --------
| >>> primes = pd.Series([2, 3, 5, 7])
|
| Slicing might produce a Series with a single value:
|
| >>> even_primes = primes[primes % 2 == 0]
| >>> even_primes
| 0 2
| dtype: int64
|
| >>> even_primes.squeeze()
| 2
|
| Squeezing objects with more than one value in every axis does nothing:
|
| >>> odd_primes = primes[primes % 2 == 1]
| >>> odd_primes
| 1 3
| 2 5
| 3 7
| dtype: int64
|
| >>> odd_primes.squeeze()
| 1 3
| 2 5
| 3 7
| dtype: int64
|
| Squeezing is even more effective when used with DataFrames.
|
| >>> df = pd.DataFrame([[1, 2], [3, 4]], columns=['a', 'b'])
| >>> df
| a b
| 0 1 2
| 1 3 4
|
| Slicing a single column will produce a DataFrame with the columns
| having only one value:
|
| >>> df_a = df[['a']]
| >>> df_a
| a
| 0 1
| 1 3
|
| So the columns can be squeezed down, resulting in a Series:
|
| >>> df_a.squeeze('columns')
| 0 1
| 1 3
| Name: a, dtype: int64
|
| Slicing a single row from a single column will produce a single
| scalar DataFrame:
|
| >>> df_0a = df.loc[df.index < 1, ['a']]
| >>> df_0a
| a
| 0 1
|
| Squeezing the rows produces a single scalar Series:
|
| >>> df_0a.squeeze('rows')
| a 1
| Name: 0, dtype: int64
|
| Squeezing all axes will project directly into a scalar:
|
| >>> df_0a.squeeze()
| 1
|
| swapaxes(self: 'FrameOrSeries', axis1, axis2, copy=True) -> 'FrameOrSeries'
| Interchange axes and swap values axes appropriately.
|
| Returns
| -------
| y : same as input
|
| tail(self: 'FrameOrSeries', n: 'int' = 5) -> 'FrameOrSeries'
| Return the last `n` rows.
|
| This function returns last `n` rows from the object based on
| position. It is useful for quickly verifying data, for example,
| after sorting or appending rows.
|
| For negative values of `n`, this function returns all rows except
| the first `n` rows, equivalent to ``df[n:]``.
|
| Parameters
| ----------
| n : int, default 5
| Number of rows to select.
|
| Returns
| -------
| type of caller
| The last `n` rows of the caller object.
|
| See Also
| --------
| DataFrame.head : The first `n` rows of the caller object.
|
| Examples
| --------
| >>> df = pd.DataFrame({'animal': ['alligator', 'bee', 'falcon', 'lion',
| ... 'monkey', 'parrot', 'shark', 'whale', 'zebra']})
| >>> df
| animal
| 0 alligator
| 1 bee
| 2 falcon
| 3 lion
| 4 monkey
| 5 parrot
| 6 shark
| 7 whale
| 8 zebra
|
| Viewing the last 5 lines
|
| >>> df.tail()
| animal
| 4 monkey
| 5 parrot
| 6 shark
| 7 whale
| 8 zebra
|
| Viewing the last `n` lines (three in this case)
|
| >>> df.tail(3)
| animal
| 6 shark
| 7 whale
| 8 zebra
|
| For negative values of `n`
|
| >>> df.tail(-3)
| animal
| 3 lion
| 4 monkey
| 5 parrot
| 6 shark
| 7 whale
| 8 zebra
|
| take(self: 'FrameOrSeries', indices, axis=0, is_copy: 'bool_t | None' = None, **kwargs) -> 'FrameOrSeries'
| Return the elements in the given *positional* indices along an axis.
|
| This means that we are not indexing according to actual values in
| the index attribute of the object. We are indexing according to the
| actual position of the element in the object.
|
| Parameters
| ----------
| indices : array-like
| An array of ints indicating which positions to take.
| axis : {0 or 'index', 1 or 'columns', None}, default 0
| The axis on which to select elements. ``0`` means that we are
| selecting rows, ``1`` means that we are selecting columns.
| is_copy : bool
| Before pandas 1.0, ``is_copy=False`` can be specified to ensure
| that the return value is an actual copy. Starting with pandas 1.0,
| ``take`` always returns a copy, and the keyword is therefore
| deprecated.
|
| .. deprecated:: 1.0.0
| **kwargs
| For compatibility with :meth:`numpy.take`. Has no effect on the
| output.
|
| Returns
| -------
| taken : same type as caller
| An array-like containing the elements taken from the object.
|
| See Also
| --------
| DataFrame.loc : Select a subset of a DataFrame by labels.
| DataFrame.iloc : Select a subset of a DataFrame by positions.
| numpy.take : Take elements from an array along an axis.
|
| Examples
| --------
| >>> df = pd.DataFrame([('falcon', 'bird', 389.0),
| ... ('parrot', 'bird', 24.0),
| ... ('lion', 'mammal', 80.5),
| ... ('monkey', 'mammal', np.nan)],
| ... columns=['name', 'class', 'max_speed'],
| ... index=[0, 2, 3, 1])
| >>> df
| name class max_speed
| 0 falcon bird 389.0
| 2 parrot bird 24.0
| 3 lion mammal 80.5
| 1 monkey mammal NaN
|
| Take elements at positions 0 and 3 along the axis 0 (default).
|
| Note how the actual indices selected (0 and 1) do not correspond to
| our selected indices 0 and 3. That's because we are selecting the 0th
| and 3rd rows, not rows whose indices equal 0 and 3.
|
| >>> df.take([0, 3])
| name class max_speed
| 0 falcon bird 389.0
| 1 monkey mammal NaN
|
| Take elements at indices 1 and 2 along the axis 1 (column selection).
|
| >>> df.take([1, 2], axis=1)
| class max_speed
| 0 bird 389.0
| 2 bird 24.0
| 3 mammal 80.5
| 1 mammal NaN
|
| We may take elements using negative integers for positive indices,
| starting from the end of the object, just like with Python lists.
|
| >>> df.take([-1, -2])
| name class max_speed
| 1 monkey mammal NaN
| 3 lion mammal 80.5
|
| to_clipboard(self, excel: 'bool_t' = True, sep: 'str | None' = None, **kwargs) -> 'None'
| Copy object to the system clipboard.
|
| Write a text representation of object to the system clipboard.
| This can be pasted into Excel, for example.
|
| Parameters
| ----------
| excel : bool, default True
| Produce output in a csv format for easy pasting into excel.
|
| - True, use the provided separator for csv pasting.
| - False, write a string representation of the object to the clipboard.
|
| sep : str, default ``'\t'``
| Field delimiter.
| **kwargs
| These parameters will be passed to DataFrame.to_csv.
|
| See Also
| --------
| DataFrame.to_csv : Write a DataFrame to a comma-separated values
| (csv) file.
| read_clipboard : Read text from clipboard and pass to read_table.
|
| Notes
| -----
| Requirements for your platform.
|
| - Linux : `xclip`, or `xsel` (with `PyQt4` modules)
| - Windows : none
| - OS X : none
|
| Examples
| --------
| Copy the contents of a DataFrame to the clipboard.
|
| >>> df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=['A', 'B', 'C'])
|
| >>> df.to_clipboard(sep=',') # doctest: +SKIP
| ... # Wrote the following to the system clipboard:
| ... # ,A,B,C
| ... # 0,1,2,3
| ... # 1,4,5,6
|
| We can omit the index by passing the keyword `index` and setting
| it to false.
|
| >>> df.to_clipboard(sep=',', index=False) # doctest: +SKIP
| ... # Wrote the following to the system clipboard:
| ... # A,B,C
| ... # 1,2,3
| ... # 4,5,6
|
| to_csv(self, path_or_buf: 'FilePathOrBuffer[AnyStr] | None' = None, sep: 'str' = ',', na_rep: 'str' = '', float_format: 'str | None' = None, columns: 'Sequence[Hashable] | None' = None, header: 'bool_t | list[str]' = True, index: 'bool_t' = True, index_label: 'IndexLabel | None' = None, mode: 'str' = 'w', encoding: 'str | None' = None, compression: 'CompressionOptions' = 'infer', quoting: 'int | None' = None, quotechar: 'str' = '"', line_terminator: 'str | None' = None, chunksize: 'int | None' = None, date_format: 'str | None' = None, doublequote: 'bool_t' = True, escapechar: 'str | None' = None, decimal: 'str' = '.', errors: 'str' = 'strict', storage_options: 'StorageOptions' = None) -> 'str | None'
| Write object to a comma-separated values (csv) file.
|
| Parameters
| ----------
| path_or_buf : str or file handle, default None
| File path or object, if None is provided the result is returned as
| a string. If a non-binary file object is passed, it should be opened
| with `newline=''`, disabling universal newlines. If a binary
| file object is passed, `mode` might need to contain a `'b'`.
|
| .. versionchanged:: 1.2.0
|
| Support for binary file objects was introduced.
|
| sep : str, default ','
| String of length 1. Field delimiter for the output file.
| na_rep : str, default ''
| Missing data representation.
| float_format : str, default None
| Format string for floating point numbers.
| columns : sequence, optional
| Columns to write.
| header : bool or list of str, default True
| Write out the column names. If a list of strings is given it is
| assumed to be aliases for the column names.
| index : bool, default True
| Write row names (index).
| index_label : str or sequence, or False, default None
| Column label for index column(s) if desired. If None is given, and
| `header` and `index` are True, then the index names are used. A
| sequence should be given if the object uses MultiIndex. If
| False do not print fields for index names. Use index_label=False
| for easier importing in R.
| mode : str
| Python write mode, default 'w'.
| encoding : str, optional
| A string representing the encoding to use in the output file,
| defaults to 'utf-8'. `encoding` is not supported if `path_or_buf`
| is a non-binary file object.
| compression : str or dict, default 'infer'
| If str, represents compression mode. If dict, value at 'method' is
| the compression mode. Compression mode may be any of the following
| possible values: {'infer', 'gzip', 'bz2', 'zip', 'xz', None}. If
| compression mode is 'infer' and `path_or_buf` is path-like, then
| detect compression mode from the following extensions: '.gz',
| '.bz2', '.zip' or '.xz'. (otherwise no compression). If dict given
| and mode is one of {'zip', 'gzip', 'bz2'}, or inferred as
| one of the above, other entries passed as
| additional compression options.
|
| .. versionchanged:: 1.0.0
|
| May now be a dict with key 'method' as compression mode
| and other entries as additional compression options if
| compression mode is 'zip'.
|
| .. versionchanged:: 1.1.0
|
| Passing compression options as keys in dict is
| supported for compression modes 'gzip' and 'bz2'
| as well as 'zip'.
|
| .. versionchanged:: 1.2.0
|
| Compression is supported for binary file objects.
|
| .. versionchanged:: 1.2.0
|
| Previous versions forwarded dict entries for 'gzip' to
| `gzip.open` instead of `gzip.GzipFile` which prevented
| setting `mtime`.
|
| quoting : optional constant from csv module
| Defaults to csv.QUOTE_MINIMAL. If you have set a `float_format`
| then floats are converted to strings and thus csv.QUOTE_NONNUMERIC
| will treat them as non-numeric.
| quotechar : str, default '\"'
| String of length 1. Character used to quote fields.
| line_terminator : str, optional
| The newline character or character sequence to use in the output
| file. Defaults to `os.linesep`, which depends on the OS in which
| this method is called ('\\n' for linux, '\\r\\n' for Windows, i.e.).
| chunksize : int or None
| Rows to write at a time.
| date_format : str, default None
| Format string for datetime objects.
| doublequote : bool, default True
| Control quoting of `quotechar` inside a field.
| escapechar : str, default None
| String of length 1. Character used to escape `sep` and `quotechar`
| when appropriate.
| decimal : str, default '.'
| Character recognized as decimal separator. E.g. use ',' for
| European data.
| errors : str, default 'strict'
| Specifies how encoding and decoding errors are to be handled.
| See the errors argument for :func:`open` for a full list
| of options.
|
| .. versionadded:: 1.1.0
|
| storage_options : dict, optional
| Extra options that make sense for a particular storage connection, e.g.
| host, port, username, password, etc. For HTTP(S) URLs the key-value pairs
| are forwarded to ``urllib`` as header options. For other URLs (e.g.
| starting with "s3://", and "gcs://") the key-value pairs are forwarded to
| ``fsspec``. Please see ``fsspec`` and ``urllib`` for more details.
|
| .. versionadded:: 1.2.0
|
| Returns
| -------
| None or str
| If path_or_buf is None, returns the resulting csv format as a
| string. Otherwise returns None.
|
| See Also
| --------
| read_csv : Load a CSV file into a DataFrame.
| to_excel : Write DataFrame to an Excel file.
|
| Examples
| --------
| >>> df = pd.DataFrame({'name': ['Raphael', 'Donatello'],
| ... 'mask': ['red', 'purple'],
| ... 'weapon': ['sai', 'bo staff']})
| >>> df.to_csv(index=False)
| 'name,mask,weapon\nRaphael,red,sai\nDonatello,purple,bo staff\n'
|
| Create 'out.zip' containing 'out.csv'
|
| >>> compression_opts = dict(method='zip',
| ... archive_name='out.csv') # doctest: +SKIP
| >>> df.to_csv('out.zip', index=False,
| ... compression=compression_opts) # doctest: +SKIP
|
| to_excel(self, excel_writer, sheet_name: 'str' = 'Sheet1', na_rep: 'str' = '', float_format: 'str | None' = None, columns=None, header=True, index=True, index_label=None, startrow=0, startcol=0, engine=None, merge_cells=True, encoding=None, inf_rep='inf', verbose=True, freeze_panes=None, storage_options: 'StorageOptions' = None) -> 'None'
| Write object to an Excel sheet.
|
| To write a single object to an Excel .xlsx file it is only necessary to
| specify a target file name. To write to multiple sheets it is necessary to
| create an `ExcelWriter` object with a target file name, and specify a sheet
| in the file to write to.
|
| Multiple sheets may be written to by specifying unique `sheet_name`.
| With all data written to the file it is necessary to save the changes.
| Note that creating an `ExcelWriter` object with a file name that already
| exists will result in the contents of the existing file being erased.
|
| Parameters
| ----------
| excel_writer : path-like, file-like, or ExcelWriter object
| File path or existing ExcelWriter.
| sheet_name : str, default 'Sheet1'
| Name of sheet which will contain DataFrame.
| na_rep : str, default ''
| Missing data representation.
| float_format : str, optional
| Format string for floating point numbers. For example
| ``float_format="%.2f"`` will format 0.1234 to 0.12.
| columns : sequence or list of str, optional
| Columns to write.
| header : bool or list of str, default True
| Write out the column names. If a list of string is given it is
| assumed to be aliases for the column names.
| index : bool, default True
| Write row names (index).
| index_label : str or sequence, optional
| Column label for index column(s) if desired. If not specified, and
| `header` and `index` are True, then the index names are used. A
| sequence should be given if the DataFrame uses MultiIndex.
| startrow : int, default 0
| Upper left cell row to dump data frame.
| startcol : int, default 0
| Upper left cell column to dump data frame.
| engine : str, optional
| Write engine to use, 'openpyxl' or 'xlsxwriter'. You can also set this
| via the options ``io.excel.xlsx.writer``, ``io.excel.xls.writer``, and
| ``io.excel.xlsm.writer``.
|
| .. deprecated:: 1.2.0
|
| As the `xlwt <https://pypi.org/project/xlwt/>`__ package is no longer
| maintained, the ``xlwt`` engine will be removed in a future version
| of pandas.
|
| merge_cells : bool, default True
| Write MultiIndex and Hierarchical Rows as merged cells.
| encoding : str, optional
| Encoding of the resulting excel file. Only necessary for xlwt,
| other writers support unicode natively.
| inf_rep : str, default 'inf'
| Representation for infinity (there is no native representation for
| infinity in Excel).
| verbose : bool, default True
| Display more information in the error logs.
| freeze_panes : tuple of int (length 2), optional
| Specifies the one-based bottommost row and rightmost column that
| is to be frozen.
| storage_options : dict, optional
| Extra options that make sense for a particular storage connection, e.g.
| host, port, username, password, etc. For HTTP(S) URLs the key-value pairs
| are forwarded to ``urllib`` as header options. For other URLs (e.g.
| starting with "s3://", and "gcs://") the key-value pairs are forwarded to
| ``fsspec``. Please see ``fsspec`` and ``urllib`` for more details.
|
| .. versionadded:: 1.2.0
|
| See Also
| --------
| to_csv : Write DataFrame to a comma-separated values (csv) file.
| ExcelWriter : Class for writing DataFrame objects into excel sheets.
| read_excel : Read an Excel file into a pandas DataFrame.
| read_csv : Read a comma-separated values (csv) file into DataFrame.
|
| Notes
| -----
| For compatibility with :meth:`~DataFrame.to_csv`,
| to_excel serializes lists and dicts to strings before writing.
|
| Once a workbook has been saved it is not possible to write further
| data without rewriting the whole workbook.
|
| Examples
| --------
|
| Create, write to and save a workbook:
|
| >>> df1 = pd.DataFrame([['a', 'b'], ['c', 'd']],
| ... index=['row 1', 'row 2'],
| ... columns=['col 1', 'col 2'])
| >>> df1.to_excel("output.xlsx") # doctest: +SKIP
|
| To specify the sheet name:
|
| >>> df1.to_excel("output.xlsx",
| ... sheet_name='Sheet_name_1') # doctest: +SKIP
|
| If you wish to write to more than one sheet in the workbook, it is
| necessary to specify an ExcelWriter object:
|
| >>> df2 = df1.copy()
| >>> with pd.ExcelWriter('output.xlsx') as writer: # doctest: +SKIP
| ... df1.to_excel(writer, sheet_name='Sheet_name_1')
| ... df2.to_excel(writer, sheet_name='Sheet_name_2')
|
| ExcelWriter can also be used to append to an existing Excel file:
|
| >>> with pd.ExcelWriter('output.xlsx',
| ... mode='a') as writer: # doctest: +SKIP
| ... df.to_excel(writer, sheet_name='Sheet_name_3')
|
| To set the library that is used to write the Excel file,
| you can pass the `engine` keyword (the default engine is
| automatically chosen depending on the file extension):
|
| >>> df1.to_excel('output1.xlsx', engine='xlsxwriter') # doctest: +SKIP
|
| to_hdf(self, path_or_buf, key: 'str', mode: 'str' = 'a', complevel: 'int | None' = None, complib: 'str | None' = None, append: 'bool_t' = False, format: 'str | None' = None, index: 'bool_t' = True, min_itemsize: 'int | dict[str, int] | None' = None, nan_rep=None, dropna: 'bool_t | None' = None, data_columns: 'bool_t | list[str] | None' = None, errors: 'str' = 'strict', encoding: 'str' = 'UTF-8') -> 'None'
| Write the contained data to an HDF5 file using HDFStore.
|
| Hierarchical Data Format (HDF) is self-describing, allowing an
| application to interpret the structure and contents of a file with
| no outside information. One HDF file can hold a mix of related objects
| which can be accessed as a group or as individual objects.
|
| In order to add another DataFrame or Series to an existing HDF file
| please use append mode and a different a key.
|
| .. warning::
|
| One can store a subclass of ``DataFrame`` or ``Series`` to HDF5,
| but the type of the subclass is lost upon storing.
|
| For more information see the :ref:`user guide <io.hdf5>`.
|
| Parameters
| ----------
| path_or_buf : str or pandas.HDFStore
| File path or HDFStore object.
| key : str
| Identifier for the group in the store.
| mode : {'a', 'w', 'r+'}, default 'a'
| Mode to open file:
|
| - 'w': write, a new file is created (an existing file with
| the same name would be deleted).
| - 'a': append, an existing file is opened for reading and
| writing, and if the file does not exist it is created.
| - 'r+': similar to 'a', but the file must already exist.
| complevel : {0-9}, optional
| Specifies a compression level for data.
| A value of 0 disables compression.
| complib : {'zlib', 'lzo', 'bzip2', 'blosc'}, default 'zlib'
| Specifies the compression library to be used.
| As of v0.20.2 these additional compressors for Blosc are supported
| (default if no compressor specified: 'blosc:blosclz'):
| {'blosc:blosclz', 'blosc:lz4', 'blosc:lz4hc', 'blosc:snappy',
| 'blosc:zlib', 'blosc:zstd'}.
| Specifying a compression library which is not available issues
| a ValueError.
| append : bool, default False
| For Table formats, append the input data to the existing.
| format : {'fixed', 'table', None}, default 'fixed'
| Possible values:
|
| - 'fixed': Fixed format. Fast writing/reading. Not-appendable,
| nor searchable.
| - 'table': Table format. Write as a PyTables Table structure
| which may perform worse but allow more flexible operations
| like searching / selecting subsets of the data.
| - If None, pd.get_option('io.hdf.default_format') is checked,
| followed by fallback to "fixed"
| errors : str, default 'strict'
| Specifies how encoding and decoding errors are to be handled.
| See the errors argument for :func:`open` for a full list
| of options.
| encoding : str, default "UTF-8"
| min_itemsize : dict or int, optional
| Map column names to minimum string sizes for columns.
| nan_rep : Any, optional
| How to represent null values as str.
| Not allowed with append=True.
| data_columns : list of columns or True, optional
| List of columns to create as indexed data columns for on-disk
| queries, or True to use all columns. By default only the axes
| of the object are indexed. See :ref:`io.hdf5-query-data-columns`.
| Applicable only to format='table'.
|
| See Also
| --------
| read_hdf : Read from HDF file.
| DataFrame.to_parquet : Write a DataFrame to the binary parquet format.
| DataFrame.to_sql : Write to a SQL table.
| DataFrame.to_feather : Write out feather-format for DataFrames.
| DataFrame.to_csv : Write out to a csv file.
|
| Examples
| --------
| >>> df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]},
| ... index=['a', 'b', 'c'])
| >>> df.to_hdf('data.h5', key='df', mode='w')
|
| We can add another object to the same file:
|
| >>> s = pd.Series([1, 2, 3, 4])
| >>> s.to_hdf('data.h5', key='s')
|
| Reading from HDF file:
|
| >>> pd.read_hdf('data.h5', 'df')
| A B
| a 1 4
| b 2 5
| c 3 6
| >>> pd.read_hdf('data.h5', 's')
| 0 1
| 1 2
| 2 3
| 3 4
| dtype: int64
|
| Deleting file with data:
|
| >>> import os
| >>> os.remove('data.h5')
|
| to_json(self, path_or_buf: 'FilePathOrBuffer | None' = None, orient: 'str | None' = None, date_format: 'str | None' = None, double_precision: 'int' = 10, force_ascii: 'bool_t' = True, date_unit: 'str' = 'ms', default_handler: 'Callable[[Any], JSONSerializable] | None' = None, lines: 'bool_t' = False, compression: 'CompressionOptions' = 'infer', index: 'bool_t' = True, indent: 'int | None' = None, storage_options: 'StorageOptions' = None) -> 'str | None'
| Convert the object to a JSON string.
|
| Note NaN's and None will be converted to null and datetime objects
| will be converted to UNIX timestamps.
|
| Parameters
| ----------
| path_or_buf : str or file handle, optional
| File path or object. If not specified, the result is returned as
| a string.
| orient : str
| Indication of expected JSON string format.
|
| * Series:
|
| - default is 'index'
| - allowed values are: {'split', 'records', 'index', 'table'}.
|
| * DataFrame:
|
| - default is 'columns'
| - allowed values are: {'split', 'records', 'index', 'columns',
| 'values', 'table'}.
|
| * The format of the JSON string:
|
| - 'split' : dict like {'index' -> [index], 'columns' -> [columns],
| 'data' -> [values]}
| - 'records' : list like [{column -> value}, ... , {column -> value}]
| - 'index' : dict like {index -> {column -> value}}
| - 'columns' : dict like {column -> {index -> value}}
| - 'values' : just the values array
| - 'table' : dict like {'schema': {schema}, 'data': {data}}
|
| Describing the data, where data component is like ``orient='records'``.
|
| date_format : {None, 'epoch', 'iso'}
| Type of date conversion. 'epoch' = epoch milliseconds,
| 'iso' = ISO8601. The default depends on the `orient`. For
| ``orient='table'``, the default is 'iso'. For all other orients,
| the default is 'epoch'.
| double_precision : int, default 10
| The number of decimal places to use when encoding
| floating point values.
| force_ascii : bool, default True
| Force encoded string to be ASCII.
| date_unit : str, default 'ms' (milliseconds)
| The time unit to encode to, governs timestamp and ISO8601
| precision. One of 's', 'ms', 'us', 'ns' for second, millisecond,
| microsecond, and nanosecond respectively.
| default_handler : callable, default None
| Handler to call if object cannot otherwise be converted to a
| suitable format for JSON. Should receive a single argument which is
| the object to convert and return a serialisable object.
| lines : bool, default False
| If 'orient' is 'records' write out line-delimited json format. Will
| throw ValueError if incorrect 'orient' since others are not
| list-like.
|
| compression : {'infer', 'gzip', 'bz2', 'zip', 'xz', None}
|
| A string representing the compression to use in the output file,
| only used when the first argument is a filename. By default, the
| compression is inferred from the filename.
| index : bool, default True
| Whether to include the index values in the JSON string. Not
| including the index (``index=False``) is only supported when
| orient is 'split' or 'table'.
| indent : int, optional
| Length of whitespace used to indent each record.
|
| .. versionadded:: 1.0.0
|
| storage_options : dict, optional
| Extra options that make sense for a particular storage connection, e.g.
| host, port, username, password, etc. For HTTP(S) URLs the key-value pairs
| are forwarded to ``urllib`` as header options. For other URLs (e.g.
| starting with "s3://", and "gcs://") the key-value pairs are forwarded to
| ``fsspec``. Please see ``fsspec`` and ``urllib`` for more details.
|
| .. versionadded:: 1.2.0
|
| Returns
| -------
| None or str
| If path_or_buf is None, returns the resulting json format as a
| string. Otherwise returns None.
|
| See Also
| --------
| read_json : Convert a JSON string to pandas object.
|
| Notes
| -----
| The behavior of ``indent=0`` varies from the stdlib, which does not
| indent the output but does insert newlines. Currently, ``indent=0``
| and the default ``indent=None`` are equivalent in pandas, though this
| may change in a future release.
|
| ``orient='table'`` contains a 'pandas_version' field under 'schema'.
| This stores the version of `pandas` used in the latest revision of the
| schema.
|
| Examples
| --------
| >>> import json
| >>> df = pd.DataFrame(
| ... [["a", "b"], ["c", "d"]],
| ... index=["row 1", "row 2"],
| ... columns=["col 1", "col 2"],
| ... )
|
| >>> result = df.to_json(orient="split")
| >>> parsed = json.loads(result)
| >>> json.dumps(parsed, indent=4) # doctest: +SKIP
| {
| "columns": [
| "col 1",
| "col 2"
| ],
| "index": [
| "row 1",
| "row 2"
| ],
| "data": [
| [
| "a",
| "b"
| ],
| [
| "c",
| "d"
| ]
| ]
| }
|
| Encoding/decoding a Dataframe using ``'records'`` formatted JSON.
| Note that index labels are not preserved with this encoding.
|
| >>> result = df.to_json(orient="records")
| >>> parsed = json.loads(result)
| >>> json.dumps(parsed, indent=4) # doctest: +SKIP
| [
| {
| "col 1": "a",
| "col 2": "b"
| },
| {
| "col 1": "c",
| "col 2": "d"
| }
| ]
|
| Encoding/decoding a Dataframe using ``'index'`` formatted JSON:
|
| >>> result = df.to_json(orient="index")
| >>> parsed = json.loads(result)
| >>> json.dumps(parsed, indent=4) # doctest: +SKIP
| {
| "row 1": {
| "col 1": "a",
| "col 2": "b"
| },
| "row 2": {
| "col 1": "c",
| "col 2": "d"
| }
| }
|
| Encoding/decoding a Dataframe using ``'columns'`` formatted JSON:
|
| >>> result = df.to_json(orient="columns")
| >>> parsed = json.loads(result)
| >>> json.dumps(parsed, indent=4) # doctest: +SKIP
| {
| "col 1": {
| "row 1": "a",
| "row 2": "c"
| },
| "col 2": {
| "row 1": "b",
| "row 2": "d"
| }
| }
|
| Encoding/decoding a Dataframe using ``'values'`` formatted JSON:
|
| >>> result = df.to_json(orient="values")
| >>> parsed = json.loads(result)
| >>> json.dumps(parsed, indent=4) # doctest: +SKIP
| [
| [
| "a",
| "b"
| ],
| [
| "c",
| "d"
| ]
| ]
|
| Encoding with Table Schema:
|
| >>> result = df.to_json(orient="table")
| >>> parsed = json.loads(result)
| >>> json.dumps(parsed, indent=4) # doctest: +SKIP
| {
| "schema": {
| "fields": [
| {
| "name": "index",
| "type": "string"
| },
| {
| "name": "col 1",
| "type": "string"
| },
| {
| "name": "col 2",
| "type": "string"
| }
| ],
| "primaryKey": [
| "index"
| ],
| "pandas_version": "0.20.0"
| },
| "data": [
| {
| "index": "row 1",
| "col 1": "a",
| "col 2": "b"
| },
| {
| "index": "row 2",
| "col 1": "c",
| "col 2": "d"
| }
| ]
| }
|
| to_latex(self, buf=None, columns=None, col_space=None, header=True, index=True, na_rep='NaN', formatters=None, float_format=None, sparsify=None, index_names=True, bold_rows=False, column_format=None, longtable=None, escape=None, encoding=None, decimal='.', multicolumn=None, multicolumn_format=None, multirow=None, caption=None, label=None, position=None)
| Render object to a LaTeX tabular, longtable, or nested table/tabular.
|
| Requires ``\usepackage{booktabs}``. The output can be copy/pasted
| into a main LaTeX document or read from an external file
| with ``\input{table.tex}``.
|
| .. versionchanged:: 1.0.0
| Added caption and label arguments.
|
| .. versionchanged:: 1.2.0
| Added position argument, changed meaning of caption argument.
|
| Parameters
| ----------
| buf : str, Path or StringIO-like, optional, default None
| Buffer to write to. If None, the output is returned as a string.
| columns : list of label, optional
| The subset of columns to write. Writes all columns by default.
| col_space : int, optional
| The minimum width of each column.
| header : bool or list of str, default True
| Write out the column names. If a list of strings is given,
| it is assumed to be aliases for the column names.
| index : bool, default True
| Write row names (index).
| na_rep : str, default 'NaN'
| Missing data representation.
| formatters : list of functions or dict of {str: function}, optional
| Formatter functions to apply to columns' elements by position or
| name. The result of each function must be a unicode string.
| List must be of length equal to the number of columns.
| float_format : one-parameter function or str, optional, default None
| Formatter for floating point numbers. For example
| ``float_format="%.2f"`` and ``float_format="{:0.2f}".format`` will
| both result in 0.1234 being formatted as 0.12.
| sparsify : bool, optional
| Set to False for a DataFrame with a hierarchical index to print
| every multiindex key at each row. By default, the value will be
| read from the config module.
| index_names : bool, default True
| Prints the names of the indexes.
| bold_rows : bool, default False
| Make the row labels bold in the output.
| column_format : str, optional
| The columns format as specified in `LaTeX table format
| <https://en.wikibooks.org/wiki/LaTeX/Tables>`__ e.g. 'rcl' for 3
| columns. By default, 'l' will be used for all columns except
| columns of numbers, which default to 'r'.
| longtable : bool, optional
| By default, the value will be read from the pandas config
| module. Use a longtable environment instead of tabular. Requires
| adding a \usepackage{longtable} to your LaTeX preamble.
| escape : bool, optional
| By default, the value will be read from the pandas config
| module. When set to False prevents from escaping latex special
| characters in column names.
| encoding : str, optional
| A string representing the encoding to use in the output file,
| defaults to 'utf-8'.
| decimal : str, default '.'
| Character recognized as decimal separator, e.g. ',' in Europe.
| multicolumn : bool, default True
| Use \multicolumn to enhance MultiIndex columns.
| The default will be read from the config module.
| multicolumn_format : str, default 'l'
| The alignment for multicolumns, similar to `column_format`
| The default will be read from the config module.
| multirow : bool, default False
| Use \multirow to enhance MultiIndex rows. Requires adding a
| \usepackage{multirow} to your LaTeX preamble. Will print
| centered labels (instead of top-aligned) across the contained
| rows, separating groups via clines. The default will be read
| from the pandas config module.
| caption : str or tuple, optional
| Tuple (full_caption, short_caption),
| which results in ``\caption[short_caption]{full_caption}``;
| if a single string is passed, no short caption will be set.
|
| .. versionadded:: 1.0.0
|
| .. versionchanged:: 1.2.0
| Optionally allow caption to be a tuple ``(full_caption, short_caption)``.
|
| label : str, optional
| The LaTeX label to be placed inside ``\label{}`` in the output.
| This is used with ``\ref{}`` in the main ``.tex`` file.
|
| .. versionadded:: 1.0.0
| position : str, optional
| The LaTeX positional argument for tables, to be placed after
| ``\begin{}`` in the output.
|
| .. versionadded:: 1.2.0
|
| Returns
| -------
| str or None
| If buf is None, returns the result as a string. Otherwise returns
| None.
|
| See Also
| --------
| DataFrame.to_string : Render a DataFrame to a console-friendly
| tabular output.
| DataFrame.to_html : Render a DataFrame as an HTML table.
|
| Examples
| --------
| >>> df = pd.DataFrame(dict(name=['Raphael', 'Donatello'],
| ... mask=['red', 'purple'],
| ... weapon=['sai', 'bo staff']))
| >>> print(df.to_latex(index=False)) # doctest: +NORMALIZE_WHITESPACE
| \begin{tabular}{lll}
| \toprule
| name & mask & weapon \\
| \midrule
| Raphael & red & sai \\
| Donatello & purple & bo staff \\
| \bottomrule
| \end{tabular}
|
| to_pickle(self, path, compression: 'CompressionOptions' = 'infer', protocol: 'int' = 5, storage_options: 'StorageOptions' = None) -> 'None'
| Pickle (serialize) object to file.
|
| Parameters
| ----------
| path : str
| File path where the pickled object will be stored.
| compression : {'infer', 'gzip', 'bz2', 'zip', 'xz', None}, default 'infer'
| A string representing the compression to use in the output file. By
| default, infers from the file extension in specified path.
| Compression mode may be any of the following possible
| values: {‘infer’, ‘gzip’, ‘bz2’, ‘zip’, ‘xz’, None}. If compression
| mode is ‘infer’ and path_or_buf is path-like, then detect
| compression mode from the following extensions:
| ‘.gz’, ‘.bz2’, ‘.zip’ or ‘.xz’. (otherwise no compression).
| If dict given and mode is ‘zip’ or inferred as ‘zip’, other entries
| passed as additional compression options.
| protocol : int
| Int which indicates which protocol should be used by the pickler,
| default HIGHEST_PROTOCOL (see [1]_ paragraph 12.1.2). The possible
| values are 0, 1, 2, 3, 4, 5. A negative value for the protocol
| parameter is equivalent to setting its value to HIGHEST_PROTOCOL.
|
| .. [1] https://docs.python.org/3/library/pickle.html.
|
| storage_options : dict, optional
| Extra options that make sense for a particular storage connection, e.g.
| host, port, username, password, etc. For HTTP(S) URLs the key-value pairs
| are forwarded to ``urllib`` as header options. For other URLs (e.g.
| starting with "s3://", and "gcs://") the key-value pairs are forwarded to
| ``fsspec``. Please see ``fsspec`` and ``urllib`` for more details.
|
| .. versionadded:: 1.2.0
|
| See Also
| --------
| read_pickle : Load pickled pandas object (or any object) from file.
| DataFrame.to_hdf : Write DataFrame to an HDF5 file.
| DataFrame.to_sql : Write DataFrame to a SQL database.
| DataFrame.to_parquet : Write a DataFrame to the binary parquet format.
|
| Examples
| --------
| >>> original_df = pd.DataFrame({"foo": range(5), "bar": range(5, 10)})
| >>> original_df
| foo bar
| 0 0 5
| 1 1 6
| 2 2 7
| 3 3 8
| 4 4 9
| >>> original_df.to_pickle("./dummy.pkl")
|
| >>> unpickled_df = pd.read_pickle("./dummy.pkl")
| >>> unpickled_df
| foo bar
| 0 0 5
| 1 1 6
| 2 2 7
| 3 3 8
| 4 4 9
|
| >>> import os
| >>> os.remove("./dummy.pkl")
|
| to_sql(self, name: 'str', con, schema=None, if_exists: 'str' = 'fail', index: 'bool_t' = True, index_label=None, chunksize=None, dtype: 'DtypeArg | None' = None, method=None) -> 'None'
| Write records stored in a DataFrame to a SQL database.
|
| Databases supported by SQLAlchemy [1]_ are supported. Tables can be
| newly created, appended to, or overwritten.
|
| Parameters
| ----------
| name : str
| Name of SQL table.
| con : sqlalchemy.engine.(Engine or Connection) or sqlite3.Connection
| Using SQLAlchemy makes it possible to use any DB supported by that
| library. Legacy support is provided for sqlite3.Connection objects. The user
| is responsible for engine disposal and connection closure for the SQLAlchemy
| connectable See `here <https://docs.sqlalchemy.org/en/13/core/connections.html>`_.
|
| schema : str, optional
| Specify the schema (if database flavor supports this). If None, use
| default schema.
| if_exists : {'fail', 'replace', 'append'}, default 'fail'
| How to behave if the table already exists.
|
| * fail: Raise a ValueError.
| * replace: Drop the table before inserting new values.
| * append: Insert new values to the existing table.
|
| index : bool, default True
| Write DataFrame index as a column. Uses `index_label` as the column
| name in the table.
| index_label : str or sequence, default None
| Column label for index column(s). If None is given (default) and
| `index` is True, then the index names are used.
| A sequence should be given if the DataFrame uses MultiIndex.
| chunksize : int, optional
| Specify the number of rows in each batch to be written at a time.
| By default, all rows will be written at once.
| dtype : dict or scalar, optional
| Specifying the datatype for columns. If a dictionary is used, the
| keys should be the column names and the values should be the
| SQLAlchemy types or strings for the sqlite3 legacy mode. If a
| scalar is provided, it will be applied to all columns.
| method : {None, 'multi', callable}, optional
| Controls the SQL insertion clause used:
|
| * None : Uses standard SQL ``INSERT`` clause (one per row).
| * 'multi': Pass multiple values in a single ``INSERT`` clause.
| * callable with signature ``(pd_table, conn, keys, data_iter)``.
|
| Details and a sample callable implementation can be found in the
| section :ref:`insert method <io.sql.method>`.
|
| Raises
| ------
| ValueError
| When the table already exists and `if_exists` is 'fail' (the
| default).
|
| See Also
| --------
| read_sql : Read a DataFrame from a table.
|
| Notes
| -----
| Timezone aware datetime columns will be written as
| ``Timestamp with timezone`` type with SQLAlchemy if supported by the
| database. Otherwise, the datetimes will be stored as timezone unaware
| timestamps local to the original timezone.
|
| References
| ----------
| .. [1] https://docs.sqlalchemy.org
| .. [2] https://www.python.org/dev/peps/pep-0249/
|
| Examples
| --------
| Create an in-memory SQLite database.
|
| >>> from sqlalchemy import create_engine
| >>> engine = create_engine('sqlite://', echo=False)
|
| Create a table from scratch with 3 rows.
|
| >>> df = pd.DataFrame({'name' : ['User 1', 'User 2', 'User 3']})
| >>> df
| name
| 0 User 1
| 1 User 2
| 2 User 3
|
| >>> df.to_sql('users', con=engine)
| >>> engine.execute("SELECT * FROM users").fetchall()
| [(0, 'User 1'), (1, 'User 2'), (2, 'User 3')]
|
| An `sqlalchemy.engine.Connection` can also be passed to `con`:
|
| >>> with engine.begin() as connection:
| ... df1 = pd.DataFrame({'name' : ['User 4', 'User 5']})
| ... df1.to_sql('users', con=connection, if_exists='append')
|
| This is allowed to support operations that require that the same
| DBAPI connection is used for the entire operation.
|
| >>> df2 = pd.DataFrame({'name' : ['User 6', 'User 7']})
| >>> df2.to_sql('users', con=engine, if_exists='append')
| >>> engine.execute("SELECT * FROM users").fetchall()
| [(0, 'User 1'), (1, 'User 2'), (2, 'User 3'),
| (0, 'User 4'), (1, 'User 5'), (0, 'User 6'),
| (1, 'User 7')]
|
| Overwrite the table with just ``df2``.
|
| >>> df2.to_sql('users', con=engine, if_exists='replace',
| ... index_label='id')
| >>> engine.execute("SELECT * FROM users").fetchall()
| [(0, 'User 6'), (1, 'User 7')]
|
| Specify the dtype (especially useful for integers with missing values).
| Notice that while pandas is forced to store the data as floating point,
| the database supports nullable integers. When fetching the data with
| Python, we get back integer scalars.
|
| >>> df = pd.DataFrame({"A": [1, None, 2]})
| >>> df
| A
| 0 1.0
| 1 NaN
| 2 2.0
|
| >>> from sqlalchemy.types import Integer
| >>> df.to_sql('integers', con=engine, index=False,
| ... dtype={"A": Integer()})
|
| >>> engine.execute("SELECT * FROM integers").fetchall()
| [(1,), (None,), (2,)]
|
| to_xarray(self)
| Return an xarray object from the pandas object.
|
| Returns
| -------
| xarray.DataArray or xarray.Dataset
| Data in the pandas structure converted to Dataset if the object is
| a DataFrame, or a DataArray if the object is a Series.
|
| See Also
| --------
| DataFrame.to_hdf : Write DataFrame to an HDF5 file.
| DataFrame.to_parquet : Write a DataFrame to the binary parquet format.
|
| Notes
| -----
| See the `xarray docs <https://xarray.pydata.org/en/stable/>`__
|
| Examples
| --------
| >>> df = pd.DataFrame([('falcon', 'bird', 389.0, 2),
| ... ('parrot', 'bird', 24.0, 2),
| ... ('lion', 'mammal', 80.5, 4),
| ... ('monkey', 'mammal', np.nan, 4)],
| ... columns=['name', 'class', 'max_speed',
| ... 'num_legs'])
| >>> df
| name class max_speed num_legs
| 0 falcon bird 389.0 2
| 1 parrot bird 24.0 2
| 2 lion mammal 80.5 4
| 3 monkey mammal NaN 4
|
| >>> df.to_xarray()
| <xarray.Dataset>
| Dimensions: (index: 4)
| Coordinates:
| * index (index) int64 0 1 2 3
| Data variables:
| name (index) object 'falcon' 'parrot' 'lion' 'monkey'
| class (index) object 'bird' 'bird' 'mammal' 'mammal'
| max_speed (index) float64 389.0 24.0 80.5 nan
| num_legs (index) int64 2 2 4 4
|
| >>> df['max_speed'].to_xarray()
| <xarray.DataArray 'max_speed' (index: 4)>
| array([389. , 24. , 80.5, nan])
| Coordinates:
| * index (index) int64 0 1 2 3
|
| >>> dates = pd.to_datetime(['2018-01-01', '2018-01-01',
| ... '2018-01-02', '2018-01-02'])
| >>> df_multiindex = pd.DataFrame({'date': dates,
| ... 'animal': ['falcon', 'parrot',
| ... 'falcon', 'parrot'],
| ... 'speed': [350, 18, 361, 15]})
| >>> df_multiindex = df_multiindex.set_index(['date', 'animal'])
|
| >>> df_multiindex
| speed
| date animal
| 2018-01-01 falcon 350
| parrot 18
| 2018-01-02 falcon 361
| parrot 15
|
| >>> df_multiindex.to_xarray()
| <xarray.Dataset>
| Dimensions: (animal: 2, date: 2)
| Coordinates:
| * date (date) datetime64[ns] 2018-01-01 2018-01-02
| * animal (animal) object 'falcon' 'parrot'
| Data variables:
| speed (date, animal) int64 350 18 361 15
|
| truncate(self: 'FrameOrSeries', before=None, after=None, axis=None, copy: 'bool_t' = True) -> 'FrameOrSeries'
| Truncate a Series or DataFrame before and after some index value.
|
| This is a useful shorthand for boolean indexing based on index
| values above or below certain thresholds.
|
| Parameters
| ----------
| before : date, str, int
| Truncate all rows before this index value.
| after : date, str, int
| Truncate all rows after this index value.
| axis : {0 or 'index', 1 or 'columns'}, optional
| Axis to truncate. Truncates the index (rows) by default.
| copy : bool, default is True,
| Return a copy of the truncated section.
|
| Returns
| -------
| type of caller
| The truncated Series or DataFrame.
|
| See Also
| --------
| DataFrame.loc : Select a subset of a DataFrame by label.
| DataFrame.iloc : Select a subset of a DataFrame by position.
|
| Notes
| -----
| If the index being truncated contains only datetime values,
| `before` and `after` may be specified as strings instead of
| Timestamps.
|
| Examples
| --------
| >>> df = pd.DataFrame({'A': ['a', 'b', 'c', 'd', 'e'],
| ... 'B': ['f', 'g', 'h', 'i', 'j'],
| ... 'C': ['k', 'l', 'm', 'n', 'o']},
| ... index=[1, 2, 3, 4, 5])
| >>> df
| A B C
| 1 a f k
| 2 b g l
| 3 c h m
| 4 d i n
| 5 e j o
|
| >>> df.truncate(before=2, after=4)
| A B C
| 2 b g l
| 3 c h m
| 4 d i n
|
| The columns of a DataFrame can be truncated.
|
| >>> df.truncate(before="A", after="B", axis="columns")
| A B
| 1 a f
| 2 b g
| 3 c h
| 4 d i
| 5 e j
|
| For Series, only rows can be truncated.
|
| >>> df['A'].truncate(before=2, after=4)
| 2 b
| 3 c
| 4 d
| Name: A, dtype: object
|
| The index values in ``truncate`` can be datetimes or string
| dates.
|
| >>> dates = pd.date_range('2016-01-01', '2016-02-01', freq='s')
| >>> df = pd.DataFrame(index=dates, data={'A': 1})
| >>> df.tail()
| A
| 2016-01-31 23:59:56 1
| 2016-01-31 23:59:57 1
| 2016-01-31 23:59:58 1
| 2016-01-31 23:59:59 1
| 2016-02-01 00:00:00 1
|
| >>> df.truncate(before=pd.Timestamp('2016-01-05'),
| ... after=pd.Timestamp('2016-01-10')).tail()
| A
| 2016-01-09 23:59:56 1
| 2016-01-09 23:59:57 1
| 2016-01-09 23:59:58 1
| 2016-01-09 23:59:59 1
| 2016-01-10 00:00:00 1
|
| Because the index is a DatetimeIndex containing only dates, we can
| specify `before` and `after` as strings. They will be coerced to
| Timestamps before truncation.
|
| >>> df.truncate('2016-01-05', '2016-01-10').tail()
| A
| 2016-01-09 23:59:56 1
| 2016-01-09 23:59:57 1
| 2016-01-09 23:59:58 1
| 2016-01-09 23:59:59 1
| 2016-01-10 00:00:00 1
|
| Note that ``truncate`` assumes a 0 value for any unspecified time
| component (midnight). This differs from partial string slicing, which
| returns any partially matching dates.
|
| >>> df.loc['2016-01-05':'2016-01-10', :].tail()
| A
| 2016-01-10 23:59:55 1
| 2016-01-10 23:59:56 1
| 2016-01-10 23:59:57 1
| 2016-01-10 23:59:58 1
| 2016-01-10 23:59:59 1
|
| tshift(self: 'FrameOrSeries', periods: 'int' = 1, freq=None, axis: 'Axis' = 0) -> 'FrameOrSeries'
| Shift the time index, using the index's frequency if available.
|
| .. deprecated:: 1.1.0
| Use `shift` instead.
|
| Parameters
| ----------
| periods : int
| Number of periods to move, can be positive or negative.
| freq : DateOffset, timedelta, or str, default None
| Increment to use from the tseries module
| or time rule expressed as a string (e.g. 'EOM').
| axis : {0 or ‘index’, 1 or ‘columns’, None}, default 0
| Corresponds to the axis that contains the Index.
|
| Returns
| -------
| shifted : Series/DataFrame
|
| Notes
| -----
| If freq is not specified then tries to use the freq or inferred_freq
| attributes of the index. If neither of those attributes exist, a
| ValueError is thrown
|
| tz_convert(self: 'FrameOrSeries', tz, axis=0, level=None, copy: 'bool_t' = True) -> 'FrameOrSeries'
| Convert tz-aware axis to target time zone.
|
| Parameters
| ----------
| tz : str or tzinfo object
| axis : the axis to convert
| level : int, str, default None
| If axis is a MultiIndex, convert a specific level. Otherwise
| must be None.
| copy : bool, default True
| Also make a copy of the underlying data.
|
| Returns
| -------
| {klass}
| Object with time zone converted axis.
|
| Raises
| ------
| TypeError
| If the axis is tz-naive.
|
| tz_localize(self: 'FrameOrSeries', tz, axis=0, level=None, copy: 'bool_t' = True, ambiguous='raise', nonexistent: 'str' = 'raise') -> 'FrameOrSeries'
| Localize tz-naive index of a Series or DataFrame to target time zone.
|
| This operation localizes the Index. To localize the values in a
| timezone-naive Series, use :meth:`Series.dt.tz_localize`.
|
| Parameters
| ----------
| tz : str or tzinfo
| axis : the axis to localize
| level : int, str, default None
| If axis ia a MultiIndex, localize a specific level. Otherwise
| must be None.
| copy : bool, default True
| Also make a copy of the underlying data.
| ambiguous : 'infer', bool-ndarray, 'NaT', default 'raise'
| When clocks moved backward due to DST, ambiguous times may arise.
| For example in Central European Time (UTC+01), when going from
| 03:00 DST to 02:00 non-DST, 02:30:00 local time occurs both at
| 00:30:00 UTC and at 01:30:00 UTC. In such a situation, the
| `ambiguous` parameter dictates how ambiguous times should be
| handled.
|
| - 'infer' will attempt to infer fall dst-transition hours based on
| order
| - bool-ndarray where True signifies a DST time, False designates
| a non-DST time (note that this flag is only applicable for
| ambiguous times)
| - 'NaT' will return NaT where there are ambiguous times
| - 'raise' will raise an AmbiguousTimeError if there are ambiguous
| times.
| nonexistent : str, default 'raise'
| A nonexistent time does not exist in a particular timezone
| where clocks moved forward due to DST. Valid values are:
|
| - 'shift_forward' will shift the nonexistent time forward to the
| closest existing time
| - 'shift_backward' will shift the nonexistent time backward to the
| closest existing time
| - 'NaT' will return NaT where there are nonexistent times
| - timedelta objects will shift nonexistent times by the timedelta
| - 'raise' will raise an NonExistentTimeError if there are
| nonexistent times.
|
| Returns
| -------
| Series or DataFrame
| Same type as the input.
|
| Raises
| ------
| TypeError
| If the TimeSeries is tz-aware and tz is not None.
|
| Examples
| --------
| Localize local times:
|
| >>> s = pd.Series([1],
| ... index=pd.DatetimeIndex(['2018-09-15 01:30:00']))
| >>> s.tz_localize('CET')
| 2018-09-15 01:30:00+02:00 1
| dtype: int64
|
| Be careful with DST changes. When there is sequential data, pandas
| can infer the DST time:
|
| >>> s = pd.Series(range(7),
| ... index=pd.DatetimeIndex(['2018-10-28 01:30:00',
| ... '2018-10-28 02:00:00',
| ... '2018-10-28 02:30:00',
| ... '2018-10-28 02:00:00',
| ... '2018-10-28 02:30:00',
| ... '2018-10-28 03:00:00',
| ... '2018-10-28 03:30:00']))
| >>> s.tz_localize('CET', ambiguous='infer')
| 2018-10-28 01:30:00+02:00 0
| 2018-10-28 02:00:00+02:00 1
| 2018-10-28 02:30:00+02:00 2
| 2018-10-28 02:00:00+01:00 3
| 2018-10-28 02:30:00+01:00 4
| 2018-10-28 03:00:00+01:00 5
| 2018-10-28 03:30:00+01:00 6
| dtype: int64
|
| In some cases, inferring the DST is impossible. In such cases, you can
| pass an ndarray to the ambiguous parameter to set the DST explicitly
|
| >>> s = pd.Series(range(3),
| ... index=pd.DatetimeIndex(['2018-10-28 01:20:00',
| ... '2018-10-28 02:36:00',
| ... '2018-10-28 03:46:00']))
| >>> s.tz_localize('CET', ambiguous=np.array([True, True, False]))
| 2018-10-28 01:20:00+02:00 0
| 2018-10-28 02:36:00+02:00 1
| 2018-10-28 03:46:00+01:00 2
| dtype: int64
|
| If the DST transition causes nonexistent times, you can shift these
| dates forward or backward with a timedelta object or `'shift_forward'`
| or `'shift_backward'`.
|
| >>> s = pd.Series(range(2),
| ... index=pd.DatetimeIndex(['2015-03-29 02:30:00',
| ... '2015-03-29 03:30:00']))
| >>> s.tz_localize('Europe/Warsaw', nonexistent='shift_forward')
| 2015-03-29 03:00:00+02:00 0
| 2015-03-29 03:30:00+02:00 1
| dtype: int64
| >>> s.tz_localize('Europe/Warsaw', nonexistent='shift_backward')
| 2015-03-29 01:59:59.999999999+01:00 0
| 2015-03-29 03:30:00+02:00 1
| dtype: int64
| >>> s.tz_localize('Europe/Warsaw', nonexistent=pd.Timedelta('1H'))
| 2015-03-29 03:30:00+02:00 0
| 2015-03-29 03:30:00+02:00 1
| dtype: int64
|
| xs(self, key, axis=0, level=None, drop_level: 'bool_t' = True)
| Return cross-section from the Series/DataFrame.
|
| This method takes a `key` argument to select data at a particular
| level of a MultiIndex.
|
| Parameters
| ----------
| key : label or tuple of label
| Label contained in the index, or partially in a MultiIndex.
| axis : {0 or 'index', 1 or 'columns'}, default 0
| Axis to retrieve cross-section on.
| level : object, defaults to first n levels (n=1 or len(key))
| In case of a key partially contained in a MultiIndex, indicate
| which levels are used. Levels can be referred by label or position.
| drop_level : bool, default True
| If False, returns object with same levels as self.
|
| Returns
| -------
| Series or DataFrame
| Cross-section from the original Series or DataFrame
| corresponding to the selected index levels.
|
| See Also
| --------
| DataFrame.loc : Access a group of rows and columns
| by label(s) or a boolean array.
| DataFrame.iloc : Purely integer-location based indexing
| for selection by position.
|
| Notes
| -----
| `xs` can not be used to set values.
|
| MultiIndex Slicers is a generic way to get/set values on
| any level or levels.
| It is a superset of `xs` functionality, see
| :ref:`MultiIndex Slicers <advanced.mi_slicers>`.
|
| Examples
| --------
| >>> d = {'num_legs': [4, 4, 2, 2],
| ... 'num_wings': [0, 0, 2, 2],
| ... 'class': ['mammal', 'mammal', 'mammal', 'bird'],
| ... 'animal': ['cat', 'dog', 'bat', 'penguin'],
| ... 'locomotion': ['walks', 'walks', 'flies', 'walks']}
| >>> df = pd.DataFrame(data=d)
| >>> df = df.set_index(['class', 'animal', 'locomotion'])
| >>> df
| num_legs num_wings
| class animal locomotion
| mammal cat walks 4 0
| dog walks 4 0
| bat flies 2 2
| bird penguin walks 2 2
|
| Get values at specified index
|
| >>> df.xs('mammal')
| num_legs num_wings
| animal locomotion
| cat walks 4 0
| dog walks 4 0
| bat flies 2 2
|
| Get values at several indexes
|
| >>> df.xs(('mammal', 'dog'))
| num_legs num_wings
| locomotion
| walks 4 0
|
| Get values at specified index and level
|
| >>> df.xs('cat', level=1)
| num_legs num_wings
| class locomotion
| mammal walks 4 0
|
| Get values at several indexes and levels
|
| >>> df.xs(('bird', 'walks'),
| ... level=[0, 'locomotion'])
| num_legs num_wings
| animal
| penguin 2 2
|
| Get values at specified column and axis
|
| >>> df.xs('num_wings', axis=1)
| class animal locomotion
| mammal cat walks 0
| dog walks 0
| bat flies 2
| bird penguin walks 2
| Name: num_wings, dtype: int64
|
| ----------------------------------------------------------------------
| Readonly properties inherited from pandas.core.generic.NDFrame:
|
| dtypes
| Return the dtypes in the DataFrame.
|
| This returns a Series with the data type of each column.
| The result's index is the original DataFrame's columns. Columns
| with mixed types are stored with the ``object`` dtype. See
| :ref:`the User Guide <basics.dtypes>` for more.
|
| Returns
| -------
| pandas.Series
| The data type of each column.
|
| Examples
| --------
| >>> df = pd.DataFrame({'float': [1.0],
| ... 'int': [1],
| ... 'datetime': [pd.Timestamp('20180310')],
| ... 'string': ['foo']})
| >>> df.dtypes
| float float64
| int int64
| datetime datetime64[ns]
| string object
| dtype: object
|
| empty
| Indicator whether DataFrame is empty.
|
| True if DataFrame is entirely empty (no items), meaning any of the
| axes are of length 0.
|
| Returns
| -------
| bool
| If DataFrame is empty, return True, if not return False.
|
| See Also
| --------
| Series.dropna : Return series without null values.
| DataFrame.dropna : Return DataFrame with labels on given axis omitted
| where (all or any) data are missing.
|
| Notes
| -----
| If DataFrame contains only NaNs, it is still not considered empty. See
| the example below.
|
| Examples
| --------
| An example of an actual empty DataFrame. Notice the index is empty:
|
| >>> df_empty = pd.DataFrame({'A' : []})
| >>> df_empty
| Empty DataFrame
| Columns: [A]
| Index: []
| >>> df_empty.empty
| True
|
| If we only have NaNs in our DataFrame, it is not considered empty! We
| will need to drop the NaNs to make the DataFrame empty:
|
| >>> df = pd.DataFrame({'A' : [np.nan]})
| >>> df
| A
| 0 NaN
| >>> df.empty
| False
| >>> df.dropna().empty
| True
|
| flags
| Get the properties associated with this pandas object.
|
| The available flags are
|
| * :attr:`Flags.allows_duplicate_labels`
|
| See Also
| --------
| Flags : Flags that apply to pandas objects.
| DataFrame.attrs : Global metadata applying to this dataset.
|
| Notes
| -----
| "Flags" differ from "metadata". Flags reflect properties of the
| pandas object (the Series or DataFrame). Metadata refer to properties
| of the dataset, and should be stored in :attr:`DataFrame.attrs`.
|
| Examples
| --------
| >>> df = pd.DataFrame({"A": [1, 2]})
| >>> df.flags
| <Flags(allows_duplicate_labels=True)>
|
| Flags can be get or set using ``.``
|
| >>> df.flags.allows_duplicate_labels
| True
| >>> df.flags.allows_duplicate_labels = False
|
| Or by slicing with a key
|
| >>> df.flags["allows_duplicate_labels"]
| False
| >>> df.flags["allows_duplicate_labels"] = True
|
| ndim
| Return an int representing the number of axes / array dimensions.
|
| Return 1 if Series. Otherwise return 2 if DataFrame.
|
| See Also
| --------
| ndarray.ndim : Number of array dimensions.
|
| Examples
| --------
| >>> s = pd.Series({'a': 1, 'b': 2, 'c': 3})
| >>> s.ndim
| 1
|
| >>> df = pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})
| >>> df.ndim
| 2
|
| size
| Return an int representing the number of elements in this object.
|
| Return the number of rows if Series. Otherwise return the number of
| rows times number of columns if DataFrame.
|
| See Also
| --------
| ndarray.size : Number of elements in the array.
|
| Examples
| --------
| >>> s = pd.Series({'a': 1, 'b': 2, 'c': 3})
| >>> s.size
| 3
|
| >>> df = pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})
| >>> df.size
| 4
|
| ----------------------------------------------------------------------
| Data descriptors inherited from pandas.core.generic.NDFrame:
|
| attrs
| Dictionary of global attributes of this dataset.
|
| .. warning::
|
| attrs is experimental and may change without warning.
|
| See Also
| --------
| DataFrame.flags : Global flags applying to this object.
|
| ----------------------------------------------------------------------
| Data and other attributes inherited from pandas.core.generic.NDFrame:
|
| __array_priority__ = 1000
|
| ----------------------------------------------------------------------
| Methods inherited from pandas.core.base.PandasObject:
|
| __sizeof__(self) -> 'int'
| Generates the total memory usage for an object that returns
| either a value or Series of values
|
| ----------------------------------------------------------------------
| Methods inherited from pandas.core.accessor.DirNamesMixin:
|
| __dir__(self) -> 'list[str]'
| Provide method name lookup and completion.
|
| Notes
| -----
| Only provide 'public' methods.
|
| ----------------------------------------------------------------------
| Data descriptors inherited from pandas.core.accessor.DirNamesMixin:
|
| __dict__
| dictionary for instance variables (if defined)
|
| __weakref__
| list of weak references to the object (if defined)
|
| ----------------------------------------------------------------------
| Readonly properties inherited from pandas.core.indexing.IndexingMixin:
|
| at
| Access a single value for a row/column label pair.
|
| Similar to ``loc``, in that both provide label-based lookups. Use
| ``at`` if you only need to get or set a single value in a DataFrame
| or Series.
|
| Raises
| ------
| KeyError
| If 'label' does not exist in DataFrame.
|
| See Also
| --------
| DataFrame.iat : Access a single value for a row/column pair by integer
| position.
| DataFrame.loc : Access a group of rows and columns by label(s).
| Series.at : Access a single value using a label.
|
| Examples
| --------
| >>> df = pd.DataFrame([[0, 2, 3], [0, 4, 1], [10, 20, 30]],
| ... index=[4, 5, 6], columns=['A', 'B', 'C'])
| >>> df
| A B C
| 4 0 2 3
| 5 0 4 1
| 6 10 20 30
|
| Get value at specified row/column pair
|
| >>> df.at[4, 'B']
| 2
|
| Set value at specified row/column pair
|
| >>> df.at[4, 'B'] = 10
| >>> df.at[4, 'B']
| 10
|
| Get value within a Series
|
| >>> df.loc[5].at['B']
| 4
|
| iat
| Access a single value for a row/column pair by integer position.
|
| Similar to ``iloc``, in that both provide integer-based lookups. Use
| ``iat`` if you only need to get or set a single value in a DataFrame
| or Series.
|
| Raises
| ------
| IndexError
| When integer position is out of bounds.
|
| See Also
| --------
| DataFrame.at : Access a single value for a row/column label pair.
| DataFrame.loc : Access a group of rows and columns by label(s).
| DataFrame.iloc : Access a group of rows and columns by integer position(s).
|
| Examples
| --------
| >>> df = pd.DataFrame([[0, 2, 3], [0, 4, 1], [10, 20, 30]],
| ... columns=['A', 'B', 'C'])
| >>> df
| A B C
| 0 0 2 3
| 1 0 4 1
| 2 10 20 30
|
| Get value at specified row/column pair
|
| >>> df.iat[1, 2]
| 1
|
| Set value at specified row/column pair
|
| >>> df.iat[1, 2] = 10
| >>> df.iat[1, 2]
| 10
|
| Get value within a series
|
| >>> df.loc[0].iat[1]
| 2
|
| iloc
| Purely integer-location based indexing for selection by position.
|
| ``.iloc[]`` is primarily integer position based (from ``0`` to
| ``length-1`` of the axis), but may also be used with a boolean
| array.
|
| Allowed inputs are:
|
| - An integer, e.g. ``5``.
| - A list or array of integers, e.g. ``[4, 3, 0]``.
| - A slice object with ints, e.g. ``1:7``.
| - A boolean array.
| - A ``callable`` function with one argument (the calling Series or
| DataFrame) and that returns valid output for indexing (one of the above).
| This is useful in method chains, when you don't have a reference to the
| calling object, but would like to base your selection on some value.
|
| ``.iloc`` will raise ``IndexError`` if a requested indexer is
| out-of-bounds, except *slice* indexers which allow out-of-bounds
| indexing (this conforms with python/numpy *slice* semantics).
|
| See more at :ref:`Selection by Position <indexing.integer>`.
|
| See Also
| --------
| DataFrame.iat : Fast integer location scalar accessor.
| DataFrame.loc : Purely label-location based indexer for selection by label.
| Series.iloc : Purely integer-location based indexing for
| selection by position.
|
| Examples
| --------
| >>> mydict = [{'a': 1, 'b': 2, 'c': 3, 'd': 4},
| ... {'a': 100, 'b': 200, 'c': 300, 'd': 400},
| ... {'a': 1000, 'b': 2000, 'c': 3000, 'd': 4000 }]
| >>> df = pd.DataFrame(mydict)
| >>> df
| a b c d
| 0 1 2 3 4
| 1 100 200 300 400
| 2 1000 2000 3000 4000
|
| **Indexing just the rows**
|
| With a scalar integer.
|
| >>> type(df.iloc[0])
| <class 'pandas.core.series.Series'>
| >>> df.iloc[0]
| a 1
| b 2
| c 3
| d 4
| Name: 0, dtype: int64
|
| With a list of integers.
|
| >>> df.iloc[[0]]
| a b c d
| 0 1 2 3 4
| >>> type(df.iloc[[0]])
| <class 'pandas.core.frame.DataFrame'>
|
| >>> df.iloc[[0, 1]]
| a b c d
| 0 1 2 3 4
| 1 100 200 300 400
|
| With a `slice` object.
|
| >>> df.iloc[:3]
| a b c d
| 0 1 2 3 4
| 1 100 200 300 400
| 2 1000 2000 3000 4000
|
| With a boolean mask the same length as the index.
|
| >>> df.iloc[[True, False, True]]
| a b c d
| 0 1 2 3 4
| 2 1000 2000 3000 4000
|
| With a callable, useful in method chains. The `x` passed
| to the ``lambda`` is the DataFrame being sliced. This selects
| the rows whose index label even.
|
| >>> df.iloc[lambda x: x.index % 2 == 0]
| a b c d
| 0 1 2 3 4
| 2 1000 2000 3000 4000
|
| **Indexing both axes**
|
| You can mix the indexer types for the index and columns. Use ``:`` to
| select the entire axis.
|
| With scalar integers.
|
| >>> df.iloc[0, 1]
| 2
|
| With lists of integers.
|
| >>> df.iloc[[0, 2], [1, 3]]
| b d
| 0 2 4
| 2 2000 4000
|
| With `slice` objects.
|
| >>> df.iloc[1:3, 0:3]
| a b c
| 1 100 200 300
| 2 1000 2000 3000
|
| With a boolean array whose length matches the columns.
|
| >>> df.iloc[:, [True, False, True, False]]
| a c
| 0 1 3
| 1 100 300
| 2 1000 3000
|
| With a callable function that expects the Series or DataFrame.
|
| >>> df.iloc[:, lambda df: [0, 2]]
| a c
| 0 1 3
| 1 100 300
| 2 1000 3000
|
| loc
| Access a group of rows and columns by label(s) or a boolean array.
|
| ``.loc[]`` is primarily label based, but may also be used with a
| boolean array.
|
| Allowed inputs are:
|
| - A single label, e.g. ``5`` or ``'a'``, (note that ``5`` is
| interpreted as a *label* of the index, and **never** as an
| integer position along the index).
| - A list or array of labels, e.g. ``['a', 'b', 'c']``.
| - A slice object with labels, e.g. ``'a':'f'``.
|
| .. warning:: Note that contrary to usual python slices, **both** the
| start and the stop are included
|
| - A boolean array of the same length as the axis being sliced,
| e.g. ``[True, False, True]``.
| - An alignable boolean Series. The index of the key will be aligned before
| masking.
| - An alignable Index. The Index of the returned selection will be the input.
| - A ``callable`` function with one argument (the calling Series or
| DataFrame) and that returns valid output for indexing (one of the above)
|
| See more at :ref:`Selection by Label <indexing.label>`.
|
| Raises
| ------
| KeyError
| If any items are not found.
| IndexingError
| If an indexed key is passed and its index is unalignable to the frame index.
|
| See Also
| --------
| DataFrame.at : Access a single value for a row/column label pair.
| DataFrame.iloc : Access group of rows and columns by integer position(s).
| DataFrame.xs : Returns a cross-section (row(s) or column(s)) from the
| Series/DataFrame.
| Series.loc : Access group of values using labels.
|
| Examples
| --------
| **Getting values**
|
| >>> df = pd.DataFrame([[1, 2], [4, 5], [7, 8]],
| ... index=['cobra', 'viper', 'sidewinder'],
| ... columns=['max_speed', 'shield'])
| >>> df
| max_speed shield
| cobra 1 2
| viper 4 5
| sidewinder 7 8
|
| Single label. Note this returns the row as a Series.
|
| >>> df.loc['viper']
| max_speed 4
| shield 5
| Name: viper, dtype: int64
|
| List of labels. Note using ``[[]]`` returns a DataFrame.
|
| >>> df.loc[['viper', 'sidewinder']]
| max_speed shield
| viper 4 5
| sidewinder 7 8
|
| Single label for row and column
|
| >>> df.loc['cobra', 'shield']
| 2
|
| Slice with labels for row and single label for column. As mentioned
| above, note that both the start and stop of the slice are included.
|
| >>> df.loc['cobra':'viper', 'max_speed']
| cobra 1
| viper 4
| Name: max_speed, dtype: int64
|
| Boolean list with the same length as the row axis
|
| >>> df.loc[[False, False, True]]
| max_speed shield
| sidewinder 7 8
|
| Alignable boolean Series:
|
| >>> df.loc[pd.Series([False, True, False],
| ... index=['viper', 'sidewinder', 'cobra'])]
| max_speed shield
| sidewinder 7 8
|
| Index (same behavior as ``df.reindex``)
|
| >>> df.loc[pd.Index(["cobra", "viper"], name="foo")]
| max_speed shield
| foo
| cobra 1 2
| viper 4 5
|
| Conditional that returns a boolean Series
|
| >>> df.loc[df['shield'] > 6]
| max_speed shield
| sidewinder 7 8
|
| Conditional that returns a boolean Series with column labels specified
|
| >>> df.loc[df['shield'] > 6, ['max_speed']]
| max_speed
| sidewinder 7
|
| Callable that returns a boolean Series
|
| >>> df.loc[lambda df: df['shield'] == 8]
| max_speed shield
| sidewinder 7 8
|
| **Setting values**
|
| Set value for all items matching the list of labels
|
| >>> df.loc[['viper', 'sidewinder'], ['shield']] = 50
| >>> df
| max_speed shield
| cobra 1 2
| viper 4 50
| sidewinder 7 50
|
| Set value for an entire row
|
| >>> df.loc['cobra'] = 10
| >>> df
| max_speed shield
| cobra 10 10
| viper 4 50
| sidewinder 7 50
|
| Set value for an entire column
|
| >>> df.loc[:, 'max_speed'] = 30
| >>> df
| max_speed shield
| cobra 30 10
| viper 30 50
| sidewinder 30 50
|
| Set value for rows matching callable condition
|
| >>> df.loc[df['shield'] > 35] = 0
| >>> df
| max_speed shield
| cobra 30 10
| viper 0 0
| sidewinder 0 0
|
| **Getting values on a DataFrame with an index that has integer labels**
|
| Another example using integers for the index
|
| >>> df = pd.DataFrame([[1, 2], [4, 5], [7, 8]],
| ... index=[7, 8, 9], columns=['max_speed', 'shield'])
| >>> df
| max_speed shield
| 7 1 2
| 8 4 5
| 9 7 8
|
| Slice with integer labels for rows. As mentioned above, note that both
| the start and stop of the slice are included.
|
| >>> df.loc[7:9]
| max_speed shield
| 7 1 2
| 8 4 5
| 9 7 8
|
| **Getting values with a MultiIndex**
|
| A number of examples using a DataFrame with a MultiIndex
|
| >>> tuples = [
| ... ('cobra', 'mark i'), ('cobra', 'mark ii'),
| ... ('sidewinder', 'mark i'), ('sidewinder', 'mark ii'),
| ... ('viper', 'mark ii'), ('viper', 'mark iii')
| ... ]
| >>> index = pd.MultiIndex.from_tuples(tuples)
| >>> values = [[12, 2], [0, 4], [10, 20],
| ... [1, 4], [7, 1], [16, 36]]
| >>> df = pd.DataFrame(values, columns=['max_speed', 'shield'], index=index)
| >>> df
| max_speed shield
| cobra mark i 12 2
| mark ii 0 4
| sidewinder mark i 10 20
| mark ii 1 4
| viper mark ii 7 1
| mark iii 16 36
|
| Single label. Note this returns a DataFrame with a single index.
|
| >>> df.loc['cobra']
| max_speed shield
| mark i 12 2
| mark ii 0 4
|
| Single index tuple. Note this returns a Series.
|
| >>> df.loc[('cobra', 'mark ii')]
| max_speed 0
| shield 4
| Name: (cobra, mark ii), dtype: int64
|
| Single label for row and column. Similar to passing in a tuple, this
| returns a Series.
|
| >>> df.loc['cobra', 'mark i']
| max_speed 12
| shield 2
| Name: (cobra, mark i), dtype: int64
|
| Single tuple. Note using ``[[]]`` returns a DataFrame.
|
| >>> df.loc[[('cobra', 'mark ii')]]
| max_speed shield
| cobra mark ii 0 4
|
| Single tuple for the index with a single label for the column
|
| >>> df.loc[('cobra', 'mark i'), 'shield']
| 2
|
| Slice from index tuple to single label
|
| >>> df.loc[('cobra', 'mark i'):'viper']
| max_speed shield
| cobra mark i 12 2
| mark ii 0 4
| sidewinder mark i 10 20
| mark ii 1 4
| viper mark ii 7 1
| mark iii 16 36
|
| Slice from index tuple to index tuple
|
| >>> df.loc[('cobra', 'mark i'):('viper', 'mark ii')]
| max_speed shield
| cobra mark i 12 2
| mark ii 0 4
| sidewinder mark i 10 20
| mark ii 1 4
| viper mark ii 7 1
|
| ----------------------------------------------------------------------
| Methods inherited from pandas.core.arraylike.OpsMixin:
|
| __add__(self, other)
|
| __and__(self, other)
|
| __eq__(self, other)
| Return self==value.
|
| __floordiv__(self, other)
|
| __ge__(self, other)
| Return self>=value.
|
| __gt__(self, other)
| Return self>value.
|
| __le__(self, other)
| Return self<=value.
|
| __lt__(self, other)
| Return self<value.
|
| __mod__(self, other)
|
| __mul__(self, other)
|
| __ne__(self, other)
| Return self!=value.
|
| __or__(self, other)
|
| __pow__(self, other)
|
| __radd__(self, other)
|
| __rand__(self, other)
|
| __rfloordiv__(self, other)
|
| __rmod__(self, other)
|
| __rmul__(self, other)
|
| __ror__(self, other)
|
| __rpow__(self, other)
|
| __rsub__(self, other)
|
| __rtruediv__(self, other)
|
| __rxor__(self, other)
|
| __sub__(self, other)
|
| __truediv__(self, other)
|
| __xor__(self, other)
|
| ----------------------------------------------------------------------
| Data and other attributes inherited from pandas.core.arraylike.OpsMixin:
|
| __hash__ = None
df.to_csv("output.csv") #csv 저장해줌
df.to_excel("data0923.xlsx") #excel 파일 저장해줌
#39분
import os
os.listdir(".")
['.ipynb_checkpoints',
'0908a.ipynb',
'0908b.ipynb',
'3주차강의.ipynb',
'4주차강의.ipynb',
'california_housing_test.csv',
'data.txt',
'data.xls',
'data0923.xls',
'data0923.xlsx',
'data1.txt',
'download.wget',
'index.do',
'output.csv',
'응용']
import glob
glob.glob("./*.csv") #./*.
['.\\california_housing_test.csv', '.\\output.csv']
df[["longitude"]] #[[" "]]는 데이터프레임 형태로 보여줌
| longitude | |
|---|---|
| 0 | -122.05 |
| 1 | -118.30 |
| 2 | -117.81 |
| 3 | -118.36 |
| 4 | -119.67 |
| ... | ... |
| 2995 | -119.86 |
| 2996 | -118.14 |
| 2997 | -119.70 |
| 2998 | -117.12 |
| 2999 | -119.63 |
3000 rows × 1 columns
df["longitude"]
0 -122.05
1 -118.30
2 -117.81
3 -118.36
4 -119.67
...
2995 -119.86
2996 -118.14
2997 -119.70
2998 -117.12
2999 -119.63
Name: longitude, Length: 3000, dtype: float64
df["latitude"] + df["longitude"]
0 -84.68
1 -84.04
2 -84.03
3 -84.54
4 -83.34
...
2995 -85.44
2996 -84.08
2997 -83.40
2998 -83.02
2999 -85.21
Length: 3000, dtype: float64
df[["longitude","latitude"]]
| longitude | latitude | |
|---|---|---|
| 0 | -122.05 | 37.37 |
| 1 | -118.30 | 34.26 |
| 2 | -117.81 | 33.78 |
| 3 | -118.36 | 33.82 |
| 4 | -119.67 | 36.33 |
| ... | ... | ... |
| 2995 | -119.86 | 34.42 |
| 2996 | -118.14 | 34.06 |
| 2997 | -119.70 | 36.30 |
| 2998 | -117.12 | 34.10 |
| 2999 | -119.63 | 34.42 |
3000 rows × 2 columns
df["longitude"] * df["latitude"]
0 -4561.0085
1 -4052.9580
2 -3979.6218
3 -4002.9352
4 -4347.6111
...
2995 -4125.5812
2996 -4023.8484
2997 -4345.1100
2998 -3993.7920
2999 -4117.6646
Length: 3000, dtype: float64
df["xxx"] = df["longitude"] * df["latitude"]
df
| longitude | latitude | housing_median_age | total_rooms | total_bedrooms | population | households | median_income | median_house_value | xxx | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | -122.05 | 37.37 | 27.0 | 3885.0 | 661.0 | 1537.0 | 606.0 | 6.6085 | 344700.0 | -4561.0085 |
| 1 | -118.30 | 34.26 | 43.0 | 1510.0 | 310.0 | 809.0 | 277.0 | 3.5990 | 176500.0 | -4052.9580 |
| 2 | -117.81 | 33.78 | 27.0 | 3589.0 | 507.0 | 1484.0 | 495.0 | 5.7934 | 270500.0 | -3979.6218 |
| 3 | -118.36 | 33.82 | 28.0 | 67.0 | 15.0 | 49.0 | 11.0 | 6.1359 | 330000.0 | -4002.9352 |
| 4 | -119.67 | 36.33 | 19.0 | 1241.0 | 244.0 | 850.0 | 237.0 | 2.9375 | 81700.0 | -4347.6111 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 2995 | -119.86 | 34.42 | 23.0 | 1450.0 | 642.0 | 1258.0 | 607.0 | 1.1790 | 225000.0 | -4125.5812 |
| 2996 | -118.14 | 34.06 | 27.0 | 5257.0 | 1082.0 | 3496.0 | 1036.0 | 3.3906 | 237200.0 | -4023.8484 |
| 2997 | -119.70 | 36.30 | 10.0 | 956.0 | 201.0 | 693.0 | 220.0 | 2.2895 | 62000.0 | -4345.1100 |
| 2998 | -117.12 | 34.10 | 40.0 | 96.0 | 14.0 | 46.0 | 14.0 | 3.2708 | 162500.0 | -3993.7920 |
| 2999 | -119.63 | 34.42 | 42.0 | 1765.0 | 263.0 | 753.0 | 260.0 | 8.5608 | 500001.0 | -4117.6646 |
3000 rows × 10 columns
df.to_json("data.json") #json 으로 담기
pd.read_json("data.json") #json으로 읽기
| longitude | latitude | housing_median_age | total_rooms | total_bedrooms | population | households | median_income | median_house_value | xxx | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | -122.05 | 37.37 | 27 | 3885 | 661 | 1537 | 606 | 6.6085 | 344700 | -4561.0085 |
| 1 | -118.30 | 34.26 | 43 | 1510 | 310 | 809 | 277 | 3.5990 | 176500 | -4052.9580 |
| 2 | -117.81 | 33.78 | 27 | 3589 | 507 | 1484 | 495 | 5.7934 | 270500 | -3979.6218 |
| 3 | -118.36 | 33.82 | 28 | 67 | 15 | 49 | 11 | 6.1359 | 330000 | -4002.9352 |
| 4 | -119.67 | 36.33 | 19 | 1241 | 244 | 850 | 237 | 2.9375 | 81700 | -4347.6111 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 2995 | -119.86 | 34.42 | 23 | 1450 | 642 | 1258 | 607 | 1.1790 | 225000 | -4125.5812 |
| 2996 | -118.14 | 34.06 | 27 | 5257 | 1082 | 3496 | 1036 | 3.3906 | 237200 | -4023.8484 |
| 2997 | -119.70 | 36.30 | 10 | 956 | 201 | 693 | 220 | 2.2895 | 62000 | -4345.1100 |
| 2998 | -117.12 | 34.10 | 40 | 96 | 14 | 46 | 14 | 3.2708 | 162500 | -3993.7920 |
| 2999 | -119.63 | 34.42 | 42 | 1765 | 263 | 753 | 260 | 8.5608 | 500001 | -4117.6646 |
3000 rows × 10 columns
df.to_hdf("data.h5","data") #바이너리 형태로 저장되있음
import h5py
f = h5py.File("data.h5")
f['data']
<HDF5 group "/data" (4 members)>
f['data'].keys()
<KeysViewHDF5 ['axis0', 'axis1', 'block0_items', 'block0_values']>
f['data/axis0'][1]
b'latitude'
f['data/axis1'][1]
1