{"id":4212,"date":"2023-07-12T19:54:48","date_gmt":"2023-07-12T19:54:48","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e5%b0%86%e7%ba%aa%e5%85%83%e8%bd%ac%e6%8d%a2%e4%b8%ba%e6%97%a5%e6%9c%9f%e6%97%b6%e9%97%b4\/"},"modified":"2023-07-12T19:54:48","modified_gmt":"2023-07-12T19:54:48","slug":"pandas-%e5%b0%86%e7%ba%aa%e5%85%83%e8%bd%ac%e6%8d%a2%e4%b8%ba%e6%97%a5%e6%9c%9f%e6%97%b6%e9%97%b4","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e5%b0%86%e7%ba%aa%e5%85%83%e8%bd%ac%e6%8d%a2%e4%b8%ba%e6%97%a5%e6%9c%9f%e6%97%b6%e9%97%b4\/","title":{"rendered":"Pandas\uff1a\u5982\u4f55\u5c06\u7eaa\u5143\u8f6c\u6362\u4e3a\u65e5\u671f\/\u65f6\u95f4"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5c06\u65f6\u95f4\u8f6c\u6362\u4e3a pandas \u4e2d\u53ef\u8bc6\u522b\u7684\u65e5\u671f\/\u65f6\u95f4\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">date_column<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #ff0000;\">date_column<\/span> '], unit=' <span style=\"color: #ff0000;\">s<\/span> ')\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u6b64\u8bed\u6cd5\u4f1a\u5c06\u7eaa\u5143\u65f6\u95f4<strong>1655439422<\/strong>\u8f6c\u6362\u4e3a pandas \u65e5\u671f\u65f6\u95f4<strong>2022-06-17 04:17:02<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8fd9\u79cd\u683c\u5f0f\u66f4\u5bb9\u6613\u88ab\u8bc6\u522b\u4e3a\u65e5\u671f\u548c\u65f6\u95f4\uff0c\u800c\u4e0d\u662f\u4e00\u957f\u4e32\u6570\u5b57\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u8bed\u6cd5\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u5c06\u7eaa\u5143\u8f6c\u6362\u4e3a Pandas \u4e2d\u7684\u65e5\u671f\u548c\u65f6\u95f4<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas Dataframe\uff0c\u5176\u4e2d\u5305\u542b\u6709\u5173\u7279\u5b9a\u65e5\u671f\u548c\u65f6\u95f4\u67d0\u4e9b\u4ea7\u54c1\u7684\u603b\u9500\u552e\u989d\u7684\u4fe1\u606f\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">date<\/span> ': ['1655439422', '1655638422', '1664799422',\n                            '1668439411', '1669939422', '1669993948'],\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [120, 150, 224, 290, 340, 184]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n         dirty dates\n0 1655439422 120\n1 1655638422 150\n2 1664799422 224\n3 1668439411 290\n4 1669939422 340\n5 1669993948 184<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u76ee\u524d\uff0c<b>\u65e5\u671f<\/b>\u5217\u503c\u91c7\u7528\u7eaa\u5143\u65f6\u95f4\u683c\u5f0f\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8981\u5c06\u7eaa\u5143\u65f6\u95f4\u8f6c\u6362\u4e3a pandas \u65e5\u671f\u65f6\u95f4\u683c\u5f0f\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#convert values in date column from epoch to datetime<\/span>\ndf[' <span style=\"color: #ff0000;\">date<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #ff0000;\">date<\/span> '], unit=' <span style=\"color: #ff0000;\">s<\/span> ')\n\n<span style=\"color: #008080;\">#view updated DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df)\n\n                 dirty date\n0 2022-06-17 04:17:02 120\n1 2022-06-19 11:33:42 150\n2 2022-10-03 12:17:02 224\n3 2022-11-14 15:23:31 290\n4 2022-12-02 00:03:42 340\n5 2022-12-02 15:12:28 184\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c<strong>\u65e5\u671f<\/strong>\u5217\u4e2d\u7684\u503c\u73b0\u5728\u662f\u53ef\u8bc6\u522b\u7684\u65e5\u671f\u548c\u65f6\u95f4\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u5927\u591a\u6570\u65f6\u95f4\u90fd\u5b58\u50a8\u4e3a\u81ea 1970 \u5e74 1 \u6708 1 \u65e5\u4ee5\u6765\u7684\u79d2\u6570\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u901a\u8fc7\u5728<strong>to_datetime()<\/strong>\u51fd\u6570\u4e2d\u4f7f\u7528<strong>unit=&#8217;s&#8217;<\/strong>\u53c2\u6570\uff0c\u6211\u4eec\u660e\u786e\u544a\u8bc9 pandas \u901a\u8fc7\u8ba1\u7b97\u81ea 1970 \u5e74 1 \u6708 1 \u65e5\u4ee5\u6765\u7684\u79d2\u6570\u5c06\u7eaa\u5143\u8f6c\u6362\u4e3a\u65e5\u671f\u65f6\u95f4\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\"><strong>\u6ce8\u610f<\/strong>\uff1a\u60a8\u53ef\u4ee5<a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.to_datetime.html\" target=\"_blank\" rel=\"noopener\">\u5728\u6b64\u5904<\/a>\u627e\u5230 pandas <strong>to_datetime()<\/strong>\u51fd\u6570\u7684\u5b8c\u6574\u6587\u6863\u3002<\/span><\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 pandas \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u718a\u732b\u65f6\u95f4\u6233\u65e5\u671f\u65f6\u95f4\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Pandas \u4e2d\u5c06\u65f6\u95f4\u6233\u8f6c\u6362\u4e3a\u65e5\u671f\/\u65f6\u95f4<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u5c06\u65e5\u671f\u65f6\u95f4\u8f6c\u6362\u4e3a\u65e5\u671f\u718a\u732b\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5c06 DateTime \u8f6c\u6362\u4e3a Pandas \u4e2d\u7684\u65e5\u671f<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u5c06\u65e5\u671f\u65f6\u95f4\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5c06 Pandas \u4e2d\u7684\u65e5\u671f\u65f6\u95f4\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5c06\u65f6\u95f4\u8f6c\u6362\u4e3a pandas \u4e2d\u53ef\u8bc6\u522b\u7684\u65e5\u671f\/\u65f6\u95f4\uff1a df[&#8216; date_column &#8216; [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-4212","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pandas\uff1a\u5982\u4f55\u5c06\u7eaa\u5143\u8f6c\u6362\u4e3a DateTime \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u5728 pandas \u4e2d\u5c06\u7eaa\u5143\u65f6\u95f4\u8f6c\u6362\u4e3a\u65e5\u671f\/\u65f6\u95f4\uff0c\u5305\u62ec\u4e00\u4e2a\u793a\u4f8b\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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