{"id":3778,"date":"2023-07-15T14:20:20","date_gmt":"2023-07-15T14:20:20","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%be%d1%82%d1%80%d0%b8%d0%bc%d1%83%d1%8e%d1%82%d1%8c-%d0%b4%d0%b5%d0%bd%d1%8c-%d1%80%d0%be%d0%ba%d1%83-%d0%b7-%d0%b4%d0%b0%d1%82%d0%b8\/"},"modified":"2023-07-15T14:20:20","modified_gmt":"2023-07-15T14:20:20","slug":"%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%be%d1%82%d1%80%d0%b8%d0%bc%d1%83%d1%8e%d1%82%d1%8c-%d0%b4%d0%b5%d0%bd%d1%8c-%d1%80%d0%be%d0%ba%d1%83-%d0%b7-%d0%b4%d0%b0%d1%82%d0%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%be%d1%82%d1%80%d0%b8%d0%bc%d1%83%d1%8e%d1%82%d1%8c-%d0%b4%d0%b5%d0%bd%d1%8c-%d1%80%d0%be%d0%ba%d1%83-%d0%b7-%d0%b4%d0%b0%d1%82%d0%b8\/","title":{"rendered":"Pandas: \u044f\u043a \u043e\u0442\u0440\u0438\u043c\u0430\u0442\u0438 \u0434\u0435\u043d\u044c \u0440\u043e\u043a\u0443 \u0432\u0456\u0434 \u0434\u0430\u0442\u0438"},"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 \u043e\u0442\u0440\u0438\u043c\u0430\u0442\u0438 \u0434\u0435\u043d\u044c \u0440\u043e\u043a\u0443 \u0437\u0456 \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0434\u0430\u0442\u0438 \u0432 pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #3366ff;\"><span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">day_of_year<\/span> '] = df[' <span style=\"color: #ff0000;\">date<\/span> ']. <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">dayofyear<\/span><\/span>\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0423 \u0446\u044c\u043e\u043c\u0443 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u0441\u0442\u0432\u043e\u0440\u044e\u0454\u0442\u044c\u0441\u044f \u043d\u043e\u0432\u0438\u0439 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u043f\u0456\u0434 \u043d\u0430\u0437\u0432\u043e\u044e <strong>day_of_year<\/strong> , \u044f\u043a\u0438\u0439 \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0434\u0435\u043d\u044c \u0440\u043e\u043a\u0443 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 <strong>date<\/strong> .<\/span><\/span><\/p>\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 <strong>day_of_year<\/strong> \u043a\u043e\u043b\u0438\u0432\u0430\u0442\u0438\u043c\u0443\u0442\u044c\u0441\u044f \u0432\u0456\u0434 1 (1 \u0441\u0456\u0447\u043d\u044f) \u0434\u043e 365 (31 \u0433\u0440\u0443\u0434\u043d\u044f).<\/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: \u043e\u0442\u0440\u0438\u043c\u0430\u0442\u0438 \u0434\u0435\u043d\u044c \u0440\u043e\u043a\u0443 \u0437 \u0434\u0430\u0442\u0438 \u0432 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\u0443 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u043f\u0440\u043e\u0434\u0430\u0436\u0456\u0432 \u0443 \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0456 \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> ': <span style=\"color: #3366ff;\">pd.date_range<\/span> (start=' <span style=\"color: #ff0000;\">1\/1\/2022<\/span> ', freq=' <span style=\"color: #ff0000;\">M<\/span> ', periods= <span style=\"color: #008000;\">10<\/span> ),\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [6, 8, 10, 5, 4, 8, 8, 3, 5, 14]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n         dirty date\n0 2022-01-31 6\n1 2022-02-28 8\n2 2022-03-31 10\n3 2022-04-30 5\n4 2022-05-31 4\n5 2022-06-30 8\n6 2022-07-31 8\n7 2022-08-31 3\n8 2022-09-30 5\n9 2022-10-31 14\n<\/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 \u043a\u043e\u0434, \u0449\u043e\u0431 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043d\u043e\u0432\u0438\u0439 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u043f\u0456\u0434 \u043d\u0430\u0437\u0432\u043e\u044e <b>day_of_year<\/b> , \u044f\u043a\u0438\u0439 \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0434\u0435\u043d\u044c \u0440\u043e\u043a\u0443 \u0437\u0456 \u0441\u0442\u043e\u0432\u043f\u0446\u044f <strong>\u0434\u0430\u0442\u0438<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008080;\">#create new column that contains day of year in 'date' column\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">day_of_year<\/span> '] = df[' <span style=\"color: #ff0000;\">date<\/span> ']. <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">dayofyear\n<\/span><\/span><\/span>\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #000000;\"><span style=\"color: #008000;\">print<\/span> (df)\n\n        date sales day_of_year\n0 2022-01-31 6 31\n1 2022-02-28 8 59\n2 2022-03-31 10 90\n3 2022-04-30 5 120\n4 2022-05-31 4 151\n5 2022-06-30 8,181\n6 2022-07-31 8,212\n7 2022-08-31 3,243\n8 2022-09-30 5,273\n9 2022-10-31 14,304<\/span><\/b><\/pre>\n<p> <span style=\"color: #000000;\">\u041d\u043e\u0432\u0438\u0439 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u043f\u0456\u0434 \u043d\u0430\u0437\u0432\u043e\u044e <b>day_of_year<\/b> \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0434\u0435\u043d\u044c \u0440\u043e\u043a\u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u044f <strong>date<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0456\u0434 \u0437\u0430\u0437\u043d\u0430\u0447\u0438\u0442\u0438, \u0449\u043e \u044f\u043a\u0449\u043e \u0432\u0438 \u043f\u0440\u0430\u0446\u044e\u0454\u0442\u0435 \u0437 \u0432\u0438\u0441\u043e\u043a\u043e\u0441\u043d\u0438\u043c \u0440\u043e\u043a\u043e\u043c, \u0446\u044f \u0444\u0443\u043d\u043a\u0446\u0456\u044f \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u043d\u043e \u0440\u043e\u0437\u0448\u0438\u0440\u0438\u0442\u044c \u0434\u0456\u0430\u043f\u0430\u0437\u043e\u043d \u043c\u043e\u0436\u043b\u0438\u0432\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0437 365 \u0434\u043e 366.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0422\u0430\u043a\u043e\u0436 \u0437\u0430\u0443\u0432\u0430\u0436\u0442\u0435, \u0449\u043e \u044f\u043a\u0449\u043e \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c, \u0437 \u044f\u043a\u0438\u043c \u0432\u0438 \u043f\u0440\u0430\u0446\u044e\u0454\u0442\u0435, \u0454 \u0440\u044f\u0434\u043a\u043e\u0432\u0438\u043c \u0441\u0442\u043e\u0432\u043f\u0446\u0435\u043c, \u0432\u0438 \u043f\u043e\u0432\u0438\u043d\u043d\u0456 \u0441\u043f\u043e\u0447\u0430\u0442\u043a\u0443 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 <strong>pd.to_datetime()<\/strong> , \u0449\u043e\u0431 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0440\u044f\u0434\u043a\u0438 \u043d\u0430 \u0440\u043e\u0437\u043f\u0456\u0437\u043d\u0430\u0432\u0430\u043d\u0456 \u0434\u0430\u0442\u0438:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008080;\">#convert string column to datetime and calculate day of year\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">day_of_year<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #ff0000;\">date<\/span> ']). <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">dayofyear<\/span><\/span>\n<\/span><\/b><\/pre>\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 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 pandas <strong>dayofyear<\/strong> \u043c\u043e\u0436\u043d\u0430 \u0437\u043d\u0430\u0439\u0442\u0438 <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.Period.dayofyear.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\/\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 \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 \u043e\u0442\u0440\u0438\u043c\u0430\u0442\u0438 \u0434\u0435\u043d\u044c \u0440\u043e\u043a\u0443 \u0437\u0456 \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0434\u0430\u0442\u0438 \u0432 pandas DataFrame: df[&#8216; day_of_year &#8216;] = df[&#8216; date &#8216;]. dt . dayofyear \u0423 \u0446\u044c\u043e\u043c\u0443 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u0441\u0442\u0432\u043e\u0440\u044e\u0454\u0442\u044c\u0441\u044f \u043d\u043e\u0432\u0438\u0439 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u043f\u0456\u0434 \u043d\u0430\u0437\u0432\u043e\u044e day_of_year , \u044f\u043a\u0438\u0439 \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0434\u0435\u043d\u044c \u0440\u043e\u043a\u0443 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 date . \u0417\u0432\u0435\u0440\u043d\u0456\u0442\u044c \u0443\u0432\u0430\u0433\u0443, \u0449\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f day_of_year \u043a\u043e\u043b\u0438\u0432\u0430\u0442\u0438\u043c\u0443\u0442\u044c\u0441\u044f \u0432\u0456\u0434 1 (1 [&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 \u043e\u0442\u0440\u0438\u043c\u0430\u0442\u0438 \u0434\u0435\u043d\u044c \u0440\u043e\u043a\u0443 \u0437 \u0434\u0430\u0442\u0438 - \u0421\u0442\u0430\u0442\u043e\u043b\u043e\u0433\u0456\u044f<\/title>\n<meta name=\"description\" content=\"\u0423 \u0446\u044c\u043e\u043c\u0443 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