{"id":4208,"date":"2023-07-12T19:54:48","date_gmt":"2023-07-12T19:54:48","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%bf%d0%b5%d1%80%d0%b5%d1%82%d0%b2%d0%be%d1%80%d1%8e%d1%8e%d1%82%d1%8c-%d0%b5%d0%bf%d0%be%d1%85%d1%83-%d0%bd%d0%b0-%d0%b4%d0%b0%d1%82%d1%83-%d0%b8-%d1%87%d0%b0%d1%81\/"},"modified":"2023-07-12T19:54:48","modified_gmt":"2023-07-12T19:54:48","slug":"%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%bf%d0%b5%d1%80%d0%b5%d1%82%d0%b2%d0%be%d1%80%d1%8e%d1%8e%d1%82%d1%8c-%d0%b5%d0%bf%d0%be%d1%85%d1%83-%d0%bd%d0%b0-%d0%b4%d0%b0%d1%82%d1%83-%d0%b8-%d1%87%d0%b0%d1%81","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%bf%d0%b5%d1%80%d0%b5%d1%82%d0%b2%d0%be%d1%80%d1%8e%d1%8e%d1%82%d1%8c-%d0%b5%d0%bf%d0%be%d1%85%d1%83-%d0%bd%d0%b0-%d0%b4%d0%b0%d1%82%d1%83-%d0%b8-%d1%87%d0%b0%d1%81\/","title":{"rendered":"Pandas: \u044f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0435\u043f\u043e\u0445\u0443 \u043d\u0430 \u0434\u0430\u0442\u0443\/\u0447\u0430\u0441"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0447\u0430\u0441 \u043d\u0430 \u0440\u043e\u0437\u043f\u0456\u0437\u043d\u0430\u0432\u0430\u043d\u0443 \u0434\u0430\u0442\u0443\/\u0447\u0430\u0441 \u0443 pandas:<\/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;\">\u041d\u0430\u043f\u0440\u0438\u043a\u043b\u0430\u0434, \u0446\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u044c \u0447\u0430\u0441 \u0435\u043f\u043e\u0445\u0438 <strong>1655439422<\/strong> \u043d\u0430 \u0434\u0430\u0442\u0443 \u0442\u0430 \u0447\u0430\u0441 pandas <strong>2022-06-17 04:17:02<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0426\u0435\u0439 \u0444\u043e\u0440\u043c\u0430\u0442 \u043a\u0440\u0430\u0449\u0435 \u0440\u043e\u0437\u043f\u0456\u0437\u043d\u0430\u0454\u0442\u044c\u0441\u044f \u044f\u043a \u0434\u0430\u0442\u0430 \u0439 \u0447\u0430\u0441, \u0430 \u043d\u0435 \u044f\u043a \u0434\u043e\u0432\u0433\u0438\u0439 \u0440\u044f\u0434\u043e\u043a \u0447\u0438\u0441\u0435\u043b.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0446\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434: \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0435\u043f\u043e\u0445\u0443 \u043d\u0430 \u0434\u0430\u0442\u0443 \u0439 \u0447\u0430\u0441 \u0443 Pandas<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041f\u0440\u0438\u043f\u0443\u0441\u0442\u0456\u043c\u043e, \u0449\u043e \u0443 \u043d\u0430\u0441 \u0454 \u0442\u0430\u043a\u0438\u0439 \u0444\u0440\u0435\u0439\u043c \u0434\u0430\u043d\u0438\u0445 pandas, \u044f\u043a\u0438\u0439 \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0456\u044e \u043f\u0440\u043e \u0437\u0430\u0433\u0430\u043b\u044c\u043d\u0438\u0439 \u043e\u0431\u0441\u044f\u0433 \u043f\u0440\u043e\u0434\u0430\u0436\u0456\u0432 \u043f\u0435\u0432\u043d\u0438\u0445 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0456\u0432 \u0443 \u043f\u0435\u0432\u043d\u0456 \u0434\u0430\u0442\u0438 \u0442\u0430 \u0447\u0430\u0441:<\/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;\">\u0412 \u0434\u0430\u043d\u0438\u0439 \u0447\u0430\u0441 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f <b>\u0434\u0430\u0442\u0438<\/b> \u0432\u0456\u0434\u0444\u043e\u0440\u043c\u0430\u0442\u043e\u0432\u0430\u043d\u043e \u0432 \u0447\u0430\u0441\u0456 \u0435\u043f\u043e\u0445\u0438.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0429\u043e\u0431 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0447\u0430\u0441 \u0435\u043f\u043e\u0445\u0438 \u0443 \u0444\u043e\u0440\u043c\u0430\u0442 \u0434\u0430\u0442\u0438 \u0442\u0430 \u0447\u0430\u0441\u0443 pandas, \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0442\u0430\u043a\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441:<\/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;\">\u0417\u0432\u0435\u0440\u043d\u0456\u0442\u044c \u0443\u0432\u0430\u0433\u0443, \u0449\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 <strong>\u0434\u0430\u0442\u0438<\/strong> \u0442\u0435\u043f\u0435\u0440 \u0454 \u0440\u043e\u0437\u043f\u0456\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u043c\u0438 \u0434\u0430\u0442\u043e\u044e \u0442\u0430 \u0447\u0430\u0441\u043e\u043c.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u0430\u0443\u0432\u0430\u0436\u0442\u0435, \u0449\u043e \u0431\u0456\u043b\u044c\u0448\u0456\u0441\u0442\u044c \u0447\u0430\u0441\u0443 \u0437\u0431\u0435\u0440\u0456\u0433\u0430\u0454\u0442\u044c\u0441\u044f \u044f\u043a \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0441\u0435\u043a\u0443\u043d\u0434 \u0437 1\/1\/1970.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u044e\u0447\u0438 \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 <strong>unit=&#8217;s<\/strong> \u0443 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 <strong>to_datetime()<\/strong> , \u043c\u0438 \u044f\u0432\u043d\u043e \u043f\u043e\u0432\u0456\u0434\u043e\u043c\u043b\u044f\u0454\u043c\u043e pandas \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0435\u043f\u043e\u0445\u0443 \u043d\u0430 \u0434\u0430\u0442\u0443 \u0439 \u0447\u0430\u0441, \u043e\u0431\u0447\u0438\u0441\u043b\u044e\u044e\u0447\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0441\u0435\u043a\u0443\u043d\u0434 \u0437 1\/1\/1970.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0456\u0442\u043a\u0430<\/strong> . \u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0437\u043d\u0430\u0439\u0442\u0438 \u043f\u043e\u0432\u043d\u0443 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0456\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 pandas <strong>to_datetime()<\/strong> <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.to_datetime.html\" target=\"_blank\" rel=\"noopener\">\u0442\u0443\u0442<\/a> .<\/span><\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0445 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a\u0430\u0445 \u043f\u043e\u044f\u0441\u043d\u044e\u0454\u0442\u044c\u0441\u044f, \u044f\u043a \u0432\u0438\u043a\u043e\u043d\u0443\u0432\u0430\u0442\u0438 \u0456\u043d\u0448\u0456 \u0442\u0438\u043f\u043e\u0432\u0456 \u0437\u0430\u0432\u0434\u0430\u043d\u043d\u044f \u0432 pandas:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/uk\/pandas-timestamp-\u0434\u0430\u0442\u0430-\u0447\u0430\u0441\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043f\u043e\u0437\u043d\u0430\u0447\u043a\u0443 \u0447\u0430\u0441\u0443 \u0432 \u0434\u0430\u0442\u0443\/\u0447\u0430\u0441 \u0443 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043a\u043e\u043d\u0432\u0435\u0440\u0442\u0443\u0432\u0430\u0442\u0438-datetime-\u0443-date-pandas\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 DateTime \u043d\u0430 \u0434\u0430\u0442\u0443 \u0432 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/pandas-\u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u044e\u0454-datetime-\u043d\u0430-\u0440\u044f\u0434\u043e\u043a\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 DateTime \u043d\u0430 \u0440\u044f\u0434\u043e\u043a \u0443 Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0447\u0430\u0441 \u043d\u0430 \u0440\u043e\u0437\u043f\u0456\u0437\u043d\u0430\u0432\u0430\u043d\u0443 \u0434\u0430\u0442\u0443\/\u0447\u0430\u0441 \u0443 pandas: df[&#8216; date_column &#8216;] = pd. to_datetime (df[&#8216; date_column &#8216;], unit=&#8217; s &#8216;) \u041d\u0430\u043f\u0440\u0438\u043a\u043b\u0430\u0434, \u0446\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u044c \u0447\u0430\u0441 \u0435\u043f\u043e\u0445\u0438 1655439422 \u043d\u0430 \u0434\u0430\u0442\u0443 \u0442\u0430 \u0447\u0430\u0441 pandas 2022-06-17 04:17:02 . \u0426\u0435\u0439 \u0444\u043e\u0440\u043c\u0430\u0442 \u043a\u0440\u0430\u0449\u0435 \u0440\u043e\u0437\u043f\u0456\u0437\u043d\u0430\u0454\u0442\u044c\u0441\u044f \u044f\u043a \u0434\u0430\u0442\u0430 \u0439 \u0447\u0430\u0441, \u0430 \u043d\u0435 \u044f\u043a \u0434\u043e\u0432\u0433\u0438\u0439 \u0440\u044f\u0434\u043e\u043a \u0447\u0438\u0441\u0435\u043b. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pandas: \u042f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0435\u043f\u043e\u0445\u0443 \u043d\u0430 DateTime \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0447\u0430\u0441 \u0435\u043f\u043e\u0445\u0438 \u043d\u0430 \u0434\u0430\u0442\u0443\/\u0447\u0430\u0441 \u0443 pandas, \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0447\u0438 \u043f\u0440\u0438\u043a\u043b\u0430\u0434.\" \/>\n<meta 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