{"id":3750,"date":"2023-07-15T18:16:37","date_gmt":"2023-07-15T18:16:37","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%b3%d1%80%d1%83%d0%bf%d0%b0-%d0%bf%d0%b0%d0%bd%d0%b4-%d0%bd%d0%b0-%d0%b4%d0%b5%d0%bd%d1%8c\/"},"modified":"2023-07-15T18:16:37","modified_gmt":"2023-07-15T18:16:37","slug":"%d0%b3%d1%80%d1%83%d0%bf%d0%b0-%d0%bf%d0%b0%d0%bd%d0%b4-%d0%bd%d0%b0-%d0%b4%d0%b5%d0%bd%d1%8c","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%b3%d1%80%d1%83%d0%bf%d0%b0-%d0%bf%d0%b0%d0%bd%d0%b4-%d0%bd%d0%b0-%d0%b4%d0%b5%d0%bd%d1%8c\/","title":{"rendered":"\u042f\u043a \u0437\u0433\u0440\u0443\u043f\u0443\u0432\u0430\u0442\u0438 \u0437\u0430 \u0434\u043d\u044f\u043c\u0438 \u0432 pandas dataframe (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u043e\u043c)"},"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 \u0434\u043b\u044f \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u043d\u043d\u044f \u0440\u044f\u0434\u043a\u0456\u0432 \u0437\u0430 \u0434\u043d\u044f\u043c\u0438 \u0432 pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">groupby<\/span> (df. <span style=\"color: #3366ff;\">your_date_column<\/span> . <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">day<\/span> )[' <span style=\"color: #ff0000;\">values_column<\/span> ']. <span style=\"color: #3366ff;\">sum<\/span> ()\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0426\u044f \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0430 \u0444\u043e\u0440\u043c\u0443\u043b\u0430 \u0433\u0440\u0443\u043f\u0443\u0454 \u0440\u044f\u0434\u043a\u0438 \u0437\u0430 \u0434\u0430\u0442\u043e\u044e \u0443 <strong>\u0441\u0442\u043e\u0432\u043f\u0446\u0456 your_date_column<\/strong> \u0456 \u043e\u0431\u0447\u0438\u0441\u043b\u044e\u0454 \u0441\u0443\u043c\u0443 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0434\u043b\u044f <strong>\u0441\u0442\u043e\u0432\u043f\u0446\u044f values_column<\/strong> \u0443 DataFrame.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u0432\u0435\u0440\u043d\u0456\u0442\u044c \u0443\u0432\u0430\u0433\u0443, \u0449\u043e \u0444\u0443\u043d\u043a\u0446\u0456\u044f <strong>dt.day()<\/strong> \u0432\u0438\u0442\u044f\u0433\u0443\u0454 \u0434\u0435\u043d\u044c \u0437\u0456 \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0434\u0430\u0442\u0438 \u0432 pandas.<\/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: \u044f\u043a \u0437\u0433\u0440\u0443\u043f\u0443\u0432\u0430\u0442\u0438 \u0437\u0430 \u0434\u043d\u044f\u043c\u0438 \u0432 \u043f\u0430\u043d\u0434\u0430\u0445<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0421\u043a\u0430\u0436\u0456\u043c\u043e, \u0443 \u043d\u0430\u0441 \u0454 \u0442\u0430\u043a\u0438\u0439 \u043f\u0430\u043d\u0434\u0430\u0441 DataFrame, \u044f\u043a\u0438\u0439 \u043f\u043e\u043a\u0430\u0437\u0443\u0454 \u043f\u0440\u043e\u0434\u0430\u0436\u0456, \u0437\u0434\u0456\u0439\u0441\u043d\u0435\u043d\u0456 \u043a\u043e\u043c\u043f\u0430\u043d\u0456\u0454\u044e \u0432 \u0440\u0456\u0437\u043d\u0456 \u0434\u0430\u0442\u0438:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><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> ': pd. <span style=\"color: #3366ff;\">date_range<\/span> (start=' <span style=\"color: #ff0000;\">1\/1\/2020<\/span> ', freq=' <span style=\"color: #ff0000;\">8h<\/span> ', periods= <span style=\"color: #008000;\">10<\/span> ),\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [6, 8, 9, 11, 13, 8, 8, 15, 22, 9],\n                   ' <span style=\"color: #ff0000;\">returns<\/span> ': [0, 3, 2, 2, 1, 3, 2, 4, 1, 5]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n                 date sales returns\n0 2020-01-01 00:00:00 6 0\n1 2020-01-01 08:00:00 8 3\n2 2020-01-01 16:00:00 9 2\n3 2020-01-02 00:00:00 11 2\n4 2020-01-02 08:00:00 13 1\n5 2020-01-02 16:00:00 8 3\n6 2020-01-03 00:00:00 8 2\n7 2020-01-03 08:00:00 15 4\n8 2020-01-03 16:00:00 22 1\n9 2020-01-04 00:00:00 9 5<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u041f\u043e\u0432\u2019\u044f\u0437\u0430\u043d\u0435:<\/strong> <a href=\"https:\/\/statorials.org\/uk\/\u0434\u0456\u0430\u043f\u0430\u0437\u043e\u043d-\u0434\u0430\u0442-panda\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0434\u0456\u0430\u043f\u0430\u0437\u043e\u043d \u0434\u0430\u0442 \u0443 Pandas<\/a><\/span><\/p>\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 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0443\u043c\u0443 \u043f\u0440\u043e\u0434\u0430\u0436\u0456\u0432, \u0437\u0433\u0440\u0443\u043f\u043e\u0432\u0430\u043d\u0438\u0445 \u0437\u0430 \u0434\u043d\u044f\u043c\u0438:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate sum of sales grouped by day\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">groupby<\/span> (df. <span style=\"color: #3366ff;\">date<\/span> . <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">day<\/span> )[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">sum<\/span> ()\n\ndate\n1 23\n2 32\n3 45\n4 9\nName: sales, dtype: int64<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041e\u0441\u044c \u044f\u043a \u0456\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0443\u0432\u0430\u0442\u0438 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u0417\u0430\u0433\u0430\u043b\u044c\u043d\u0430 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u043f\u0440\u043e\u0434\u0430\u0436\u0456\u0432 1 \u0441\u0456\u0447\u043d\u044f \u0441\u043a\u043b\u0430\u043b\u0430 <strong>23<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u0417\u0430\u0433\u0430\u043b\u044c\u043d\u0430 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u043f\u0440\u043e\u0434\u0430\u0436\u0456\u0432 2 \u0441\u0456\u0447\u043d\u044f \u0441\u043a\u043b\u0430\u043b\u0430 <strong>32<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u0417\u0430\u0433\u0430\u043b\u044c\u043d\u0430 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u043f\u0440\u043e\u0434\u0430\u0436\u0456\u0432, \u0437\u0434\u0456\u0439\u0441\u043d\u0435\u043d\u0438\u0445 3 \u0441\u0456\u0447\u043d\u044f, \u0441\u043a\u043b\u0430\u043b\u0430 <strong>45<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u0417\u0430\u0433\u0430\u043b\u044c\u043d\u0430 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u043f\u0440\u043e\u0434\u0430\u0436\u0456\u0432 4 \u0441\u0456\u0447\u043d\u044f \u0441\u043a\u043b\u0430\u043b\u0430 <strong>9<\/strong> .<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0430\u043d\u0430\u043b\u043e\u0433\u0456\u0447\u043d\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u043e\u0431\u0447\u0438\u0441\u043b\u0435\u043d\u043d\u044f \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u043f\u0440\u043e\u0434\u0430\u0436\u0456\u0432, \u0437\u0433\u0440\u0443\u043f\u043e\u0432\u0430\u043d\u0438\u0445 \u0437\u0430 \u043c\u0456\u0441\u044f\u0446\u044f\u043c\u0438:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate max of sales grouped by day\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">groupby<\/span> (df. <span style=\"color: #3366ff;\">date<\/span> . <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">day<\/span> )[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">max<\/span> ()\n\ndate\n1 9\n2 13\n3 22\n4 9\nName: sales, dtype: int64<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0430\u043d\u0430\u043b\u043e\u0433\u0456\u0447\u043d\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u043e\u0431\u0447\u0438\u0441\u043b\u0435\u043d\u043d\u044f \u0431\u0443\u0434\u044c-\u044f\u043a\u043e\u0433\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f, \u044f\u043a\u0435 \u043c\u0438 \u0445\u043e\u0447\u0435\u043c\u043e \u0437\u0433\u0440\u0443\u043f\u0443\u0432\u0430\u0442\u0438 \u0437\u0430 \u0449\u043e\u0434\u0435\u043d\u043d\u0438\u043c \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f\u043c \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0434\u0430\u0442\u0438.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0456\u0442\u043a\u0430<\/strong> . \u041f\u043e\u0432\u043d\u0443 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0456\u044e \u0449\u043e\u0434\u043e \u043e\u043f\u0435\u0440\u0430\u0446\u0456\u0457 GroupBy \u0432 pandas \u043c\u043e\u0436\u043d\u0430 \u0437\u043d\u0430\u0439\u0442\u0438 <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.groupby.html\" target=\"_blank\" rel=\"noopener\">\u0442\u0443\u0442<\/a> .<\/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\/\u0433\u0440\u0443\u043f\u0430-\u043f\u0430\u043d\u0434-\u043d\u0430-\u0442\u0438\u0436\u0434\u0435\u043d\u044c\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0437\u0433\u0440\u0443\u043f\u0443\u0432\u0430\u0442\u0438 \u0437\u0430 \u0442\u0438\u0436\u043d\u044f\u043c\u0438 \u0432 \u043f\u0430\u043d\u0434\u0430\u0445<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u0433\u0440\u0443\u043f\u0438-\u043f\u0430\u043d\u0434-\u043d\u0430-\u043c\u0456\u0441\u044f\u0446\u044c\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u0442\u0438 \u0437\u0430 \u043c\u0456\u0441\u044f\u0446\u044f\u043c\u0438 \u0432 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u0433\u0440\u0443\u043f\u0430-\u043f\u0430\u043d\u0434-\u043d\u0430-\u043a\u0432\u0430\u0440\u0442\u0430\u043b\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u0442\u0438 \u0437\u0430 \u043a\u0432\u0430\u0440\u0442\u0430\u043b\u0430\u043c\u0438 \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 \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 \u0434\u043b\u044f \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u043d\u043d\u044f \u0440\u044f\u0434\u043a\u0456\u0432 \u0437\u0430 \u0434\u043d\u044f\u043c\u0438 \u0432 pandas DataFrame: df. groupby (df. your_date_column . dt . day )[&#8216; values_column &#8216;]. sum () \u0426\u044f \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0430 \u0444\u043e\u0440\u043c\u0443\u043b\u0430 \u0433\u0440\u0443\u043f\u0443\u0454 \u0440\u044f\u0434\u043a\u0438 \u0437\u0430 \u0434\u0430\u0442\u043e\u044e \u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 your_date_column \u0456 \u043e\u0431\u0447\u0438\u0441\u043b\u044e\u0454 \u0441\u0443\u043c\u0443 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0434\u043b\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f values_column \u0443 DataFrame. \u0417\u0432\u0435\u0440\u043d\u0456\u0442\u044c \u0443\u0432\u0430\u0433\u0443, \u0449\u043e \u0444\u0443\u043d\u043a\u0446\u0456\u044f dt.day() \u0432\u0438\u0442\u044f\u0433\u0443\u0454 \u0434\u0435\u043d\u044c \u0437\u0456 \u0441\u0442\u043e\u0432\u043f\u0446\u044f [&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>\u042f\u043a \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u0442\u0438 \u0437\u0430 \u0434\u043d\u044f\u043c\u0438 \u0432 Pandas DataFrame (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u043e\u043c) - \u0421\u0442\u0430\u0442\u043e\u043b\u043e\u0433\u0456\u044f<\/title>\n<meta name=\"description\" content=\"\u0426\u0435\u0439 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