{"id":3771,"date":"2023-07-15T15:15:57","date_gmt":"2023-07-15T15:15:57","guid":{"rendered":"https:\/\/statorials.org\/uk\/pandas-%d0%b7%d0%bd%d0%b0%d1%85%d0%be%d0%b4%d0%b8%d1%82%d1%8c-%d0%bd%d0%b0%d0%b8%d0%b4%d0%b0%d0%b2%d0%bd%d1%96%d1%88%d1%83-%d0%b4%d0%b0%d1%82%d1%83-%d0%b2-%d1%81%d1%82%d0%be%d0%b2%d0%bf%d1%86%d1%96\/"},"modified":"2023-07-15T15:15:57","modified_gmt":"2023-07-15T15:15:57","slug":"pandas-%d0%b7%d0%bd%d0%b0%d1%85%d0%be%d0%b4%d0%b8%d1%82%d1%8c-%d0%bd%d0%b0%d0%b8%d0%b4%d0%b0%d0%b2%d0%bd%d1%96%d1%88%d1%83-%d0%b4%d0%b0%d1%82%d1%83-%d0%b2-%d1%81%d1%82%d0%be%d0%b2%d0%bf%d1%86%d1%96","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/pandas-%d0%b7%d0%bd%d0%b0%d1%85%d0%be%d0%b4%d0%b8%d1%82%d1%8c-%d0%bd%d0%b0%d0%b8%d0%b4%d0%b0%d0%b2%d0%bd%d1%96%d1%88%d1%83-%d0%b4%d0%b0%d1%82%d1%83-%d0%b2-%d1%81%d1%82%d0%be%d0%b2%d0%bf%d1%86%d1%96\/","title":{"rendered":"\u041f\u0430\u043d\u0434\u0438: \u044f\u043a \u0437\u043d\u0430\u0439\u0442\u0438 \u043d\u0430\u0439\u0434\u0430\u0432\u043d\u0456\u0448\u0443 \u0434\u0430\u0442\u0443 \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><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 \u0442\u0430\u043a\u0456 \u043c\u0435\u0442\u043e\u0434\u0438, \u0449\u043e\u0431 \u0437\u043d\u0430\u0439\u0442\u0438 \u043d\u0430\u0439\u0434\u0430\u0432\u043d\u0456\u0448\u0443 \u0434\u0430\u0442\u0443 \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 pandas DataFrame:<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 1: \u0437\u043d\u0430\u0439\u0434\u0456\u0442\u044c \u043d\u0430\u0439\u0434\u0430\u0432\u043d\u0456\u0448\u0443 \u0434\u0430\u0442\u0443 \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">date_column<\/span> ']. <span style=\"color: #3366ff;\">min<\/span> ()\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 2. \u0417\u043d\u0430\u0439\u0434\u0456\u0442\u044c \u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u0440\u044f\u0434\u043e\u043a \u0456\u0437 \u043d\u0430\u0439\u0434\u0430\u0432\u043d\u0456\u0448\u043e\u044e \u0434\u0430\u0442\u043e\u044e<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">iloc<\/span> [df[' <span style=\"color: #ff0000;\">date_column<\/span> ']. <span style=\"color: #3366ff;\">argmin<\/span> ()]<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0456 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0438 \u043f\u043e\u043a\u0430\u0437\u0443\u044e\u0442\u044c, \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 \u0437 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u043c\u0438 pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">date<\/span> ': <span style=\"color: #3366ff;\">pd.to_datetime<\/span> (['2022-04-01', '2022-02-12',\n                                           '2022-06-13', '2022-02-04',\n                                           '2022-07-01', '2022-02-19',\n                                           '2022-12-03', '2022-04-04']),\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [12, 15, 24, 24, 14, 19, 12, 38]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n        dirty date\n0 2022-04-01 12\n1 2022-02-12 15\n2 2022-06-13 24\n3 2022-02-04 24\n4 2022-07-01 14\n5 2022-02-19 19\n6 2022-12-03 12\n7 2022-04-04 38<\/b><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u0437\u043d\u0430\u0439\u0434\u0456\u0442\u044c \u043d\u0430\u0439\u0434\u0430\u0432\u043d\u0456\u0448\u0443 \u0434\u0430\u0442\u0443 \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0442\u0430\u043a\u0438\u0439 \u043a\u043e\u0434, \u0449\u043e\u0431 \u0437\u043d\u0430\u0439\u0442\u0438 \u043d\u0430\u0439\u0434\u0430\u0432\u043d\u0456\u0448\u0443 \u0434\u0430\u0442\u0443 \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 <strong>\u0434\u0430\u0442\u0438<\/strong> DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008080;\">#find earliest date in 'date' column\n<\/span>df[' <span style=\"color: #ff0000;\">date<\/span> ']. <span style=\"color: #3366ff;\">min<\/span> ()\n\nTimestamp('2022-02-04 00:00:00')\n<\/b><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0417 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0443 \u043c\u0438 \u0431\u0430\u0447\u0438\u043c\u043e, \u0449\u043e \u043d\u0430\u0439\u0441\u0442\u0430\u0440\u0456\u0448\u043e\u044e \u0434\u0430\u0442\u043e\u044e \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 <strong>\u0434\u0430\u0442\u0438<\/strong> \u0454 04.02.2022.<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0456\u0442\u043a\u0430<\/strong> : \u044f\u043a\u0449\u043e \u0432\u0438 \u0445\u043e\u0447\u0435\u0442\u0435 \u0437\u043d\u0430\u0439\u0442\u0438 \u043e\u0441\u0442\u0430\u043d\u043d\u044e \u0434\u0430\u0442\u0443, \u043f\u0440\u043e\u0441\u0442\u043e \u0437\u0430\u043c\u0456\u043d\u0456\u0442\u044c <strong>min()<\/strong> \u043d\u0430 <strong>max()<\/strong> \u0443 \u043a\u043e\u0434\u0456.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u0437\u043d\u0430\u0439\u0434\u0456\u0442\u044c \u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u0440\u044f\u0434\u043e\u043a \u0456\u0437 \u043d\u0430\u0439\u0434\u0430\u0432\u043d\u0456\u0448\u043e\u044e \u0434\u0430\u0442\u043e\u044e<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0442\u0430\u043a\u0438\u0439 \u043a\u043e\u0434, \u0449\u043e\u0431 \u0437\u043d\u0430\u0439\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0456\u0437 \u043d\u0430\u0439\u0434\u0430\u0432\u043d\u0456\u0448\u043e\u044e \u0434\u0430\u0442\u043e\u044e \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 <strong>\u0434\u0430\u0442\u0438<\/strong> DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008080;\">#find row with earliest date in 'date' column\n<\/span>df. <span style=\"color: #3366ff;\">iloc<\/span> [df[' <span style=\"color: #ff0000;\">date<\/span> ']. <span style=\"color: #3366ff;\">argmin<\/span> ()]\n\ndate 2022-02-04 00:00:00\ndirty 24\nName: 3, dtype: object<\/b><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0436\u0430\u0454 \u0432\u0435\u0441\u044c \u0440\u044f\u0434\u043e\u043a, \u0449\u043e \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u043d\u0430\u0439\u0434\u0430\u0432\u043d\u0456\u0448\u0443 \u0434\u0430\u0442\u0443 \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 <strong>\u0434\u0430\u0442\u0438<\/strong> .<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u043f\u0440\u0438\u043a\u043b\u0430\u0434, \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u043f\u043e\u0431\u0430\u0447\u0438\u0442\u0438 \u0442\u0430\u043a\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u0446\u044c\u043e\u043c\u0443 \u0440\u044f\u0434\u043a\u0443:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\u0434\u0430\u0442\u0430<\/strong> : 02-04-2022<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u0431\u0440\u0443\u0434\u043d\u0438\u0439<\/strong> : 24<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u042f\u043a\u0449\u043e \u0432\u0438 \u0445\u043e\u0447\u0435\u0442\u0435 \u0437\u043d\u0430\u0442\u0438 \u043b\u0438\u0448\u0435 \u043f\u043e\u0437\u0438\u0446\u0456\u044e \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u0440\u044f\u0434\u043a\u0430 \u0437 \u043d\u0430\u0439\u0434\u0430\u0432\u043d\u0456\u0448\u043e\u044e \u0434\u0430\u0442\u043e\u044e, \u0432\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0437\u0430\u043c\u0456\u043d\u0438\u0442\u0438 <strong>.iloc<\/strong> \u043d\u0430 <strong>.index<\/strong> \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u043c \u0447\u0438\u043d\u043e\u043c:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008080;\">#find index position of row with earliest date in 'date' column\n<\/span>df. <span style=\"color: #3366ff;\">index<\/span> [df[' <span style=\"color: #ff0000;\">date<\/span> ']. <span style=\"color: #3366ff;\">argmin<\/span> ()]\n\n3\n<\/b><\/pre>\n<p> <span style=\"color: #000000;\">\u0426\u0435 \u043e\u0437\u043d\u0430\u0447\u0430\u0454, \u0449\u043e \u0440\u044f\u0434\u043e\u043a \u0456\u0437 \u0456\u043d\u0434\u0435\u043a\u0441\u043e\u043c <strong>3<\/strong> \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u043d\u0430\u0439\u0434\u0430\u0432\u043d\u0456\u0448\u0443 \u0434\u0430\u0442\u0443 \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 <strong>\u0434\u0430\u0442\u0438<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0456\u0442\u043a\u0430<\/strong> : \u044f\u043a\u0449\u043e \u0432\u0438 \u0445\u043e\u0447\u0435\u0442\u0435 \u0437\u043d\u0430\u0439\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0456\u0437 \u043e\u0441\u0442\u0430\u043d\u043d\u044c\u043e\u044e \u0434\u0430\u0442\u043e\u044e, \u043f\u0440\u043e\u0441\u0442\u043e \u0437\u0430\u043c\u0456\u043d\u0456\u0442\u044c <strong>argmin()<\/strong> \u043d\u0430 <strong>argmax()<\/strong> \u0443 \u043a\u043e\u0434\u0456.<\/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 \u043e\u043f\u0435\u0440\u0430\u0446\u0456\u0457 \u0432 pandas:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/uk\/\u0434\u043e\u0434\u0430\u0442\u0438-\u0432\u0456\u0434\u043d\u044f\u0442\u0438-\u0434\u043d\u0456-\u0432\u0456\u0434-date-pandas\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0434\u043e\u0434\u0430\u0432\u0430\u0442\u0438 \u0442\u0430 \u0432\u0456\u0434\u043d\u0456\u043c\u0430\u0442\u0438 \u0434\u043d\u0456 \u0432\u0456\u0434 \u0434\u0430\u0442\u0438 \u0432 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0432\u0438\u0431\u0438\u0440\u0430\u044e\u0442\u044c-\u0440\u044f\u0434\u043a\u0438-\u043c\u0456\u0436-\u0434\u0432\u043e\u043c\u0430-\u0434\u0430\u0442\u0430\u043c\u0438\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0438\u0431\u0440\u0430\u0442\u0438 \u0440\u044f\u0434\u043a\u0438 \u043c\u0456\u0436 \u0434\u0432\u043e\u043c\u0430 \u0434\u0430\u0442\u0430\u043c\u0438 \u0432 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0441\u0442\u0432\u043e\u0440\u044e\u044e\u0442\u044c-\u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c-\u0434\u0430\u0442\u0438-\u0437-\u0440\u043e\u043a\u0443-\u043c\u0456\u0441\u044f\u0446\u044c-\u0434\u0435\u043d\u044c\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0434\u0430\u0442\u0438 \u0437 \u0440\u043e\u043a\u0443, \u043c\u0456\u0441\u044f\u0446\u044f \u0442\u0430 \u0434\u043d\u044f \u0432 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 \u0442\u0430\u043a\u0456 \u043c\u0435\u0442\u043e\u0434\u0438, \u0449\u043e\u0431 \u0437\u043d\u0430\u0439\u0442\u0438 \u043d\u0430\u0439\u0434\u0430\u0432\u043d\u0456\u0448\u0443 \u0434\u0430\u0442\u0443 \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 pandas DataFrame: \u0421\u043f\u043e\u0441\u0456\u0431 1: \u0437\u043d\u0430\u0439\u0434\u0456\u0442\u044c \u043d\u0430\u0439\u0434\u0430\u0432\u043d\u0456\u0448\u0443 \u0434\u0430\u0442\u0443 \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 df[&#8216; date_column &#8216;]. min () \u0421\u043f\u043e\u0441\u0456\u0431 2. \u0417\u043d\u0430\u0439\u0434\u0456\u0442\u044c \u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u0440\u044f\u0434\u043e\u043a \u0456\u0437 \u043d\u0430\u0439\u0434\u0430\u0432\u043d\u0456\u0448\u043e\u044e \u0434\u0430\u0442\u043e\u044e df. iloc [df[&#8216; date_column &#8216;]. argmin ()] \u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0456 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0438 \u043f\u043e\u043a\u0430\u0437\u0443\u044e\u0442\u044c, \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 \u0437 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u043c\u0438 pandas DataFrame: import [&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\/ 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