<p>저도 처음 보는 함수인데, 날짜로 제목이 구성된 일련의csv파일을 날짜별로 sort해주는 함수이다.</p><p> </p><p><a href="https://thispointer.com/python-get-list-of-files-in-directory-sorted-by-date-and-time/" target="_top" class="ke-link">Python: Get list of files in directory sorted by date and time – thispointer.com</a></p><div class="figure-open" contenteditable="false" data-ke-type="opengraph" data-ke-align="alignCenter" data-og-type="website" data-og-title="Python: Get list of files in directory sorted by date and time – thispointer.com" data-og-description="In this article, we will discuss different ways to get list of all files in a directory / folder sorted by date and time in python. Table of contents Get list of files in directory sorted by date using glob() In python, the glob module provides a function " data-og-host="thispointer.com" data-og-source-url="https://thispointer.com/python-get-list-of-files-in-directory-sorted-by-date-and-time/" data-og-url="https://thispointer.com/python-get-list-of-files-in-directory-sorted-by-date-and-time/" data-og-image=""><a href="https://thispointer.com/python-get-list-of-files-in-directory-sorted-by-date-and-time/" target="_blank" data-source-url="https://thispointer.com/python-get-list-of-files-in-directory-sorted-by-date-and-time/"><div class="og-image" style="background-image:url()"></div><div class="og-text"><p class="og-title">Python: Get list of files in directory sorted by date and time – thispointer.com</p><p class="og-desc">In this article, we will discuss different ways to get list of all files in a directory / folder sorted by date and time in python. Table of contents Get list of files in directory sorted by date using glob() In python, the glob module provides a function </p><p class="og-host">thispointer.com</p></div></a></div><p> </p><p>가령 다음 싸이트에서 대충 5개 정도의 파일을 다운로드 한다. 그리고 지정한 폴더로 다시 이동시킨다.</p><p>그리고 sort한다.</p><p> </p><p>import glob</p><p> </p><div class="figure-img" data-ke-type="image" data-ke-style="alignCenter" data-ke-mobilestyle="widthOrigin"><img src="https://t1.daumcdn.net/cafeattach/1LOU5/948b7d2bbcbe9a268058303274cd5d685ac3f48e" class="txc-image" data-img-src="https://t1.daumcdn.net/cafeattach/1LOU5/948b7d2bbcbe9a268058303274cd5d685ac3f48e" data-origin-width="755" data-origin-height="259"></div><p>그리고 파일을 1개의 dataframe으로 병합한다.</p><p> </p><p>df = pd.concat(map(pd.read_csv, files)) <br>df.shape</p><p> </p><p>이제 이 data file로 여러분이 1개의 csv 파일에서 불러온 데치터 처럼 여러 분석이 가능하다. </p><p> </p><p>그리고 인공지능을 통한 예측에 관심이 있다면 다음 링크에서 직접 공부를 더 해보자.</p><p><a href="https://towardsdatascience.com/lstm-for-time-series-prediction-de8aeb26f2ca" target="_top" class="ke-link">https://towardsdatascience.com/lstm-for-time-series-prediction-de8aeb26f2ca</a></p>
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