{"id":2361,"date":"2023-07-22T14:41:49","date_gmt":"2023-07-22T14:41:49","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%b2%d1%80%d0%b5%d0%bc%d0%b5%d0%bd%d0%bd%d0%be%d0%b8-%d1%80%d1%8f%d0%b4-%d0%bf%d0%be%d0%b2%d1%82%d0%be%d1%80%d0%bd%d0%be%d0%b8-%d0%b2%d1%8b%d0%b1%d0%be%d1%80%d0%ba%d0%b8-python\/"},"modified":"2023-07-22T14:41:49","modified_gmt":"2023-07-22T14:41:49","slug":"%d0%b2%d1%80%d0%b5%d0%bc%d0%b5%d0%bd%d0%bd%d0%be%d0%b8-%d1%80%d1%8f%d0%b4-%d0%bf%d0%be%d0%b2%d1%82%d0%be%d1%80%d0%bd%d0%be%d0%b8-%d0%b2%d1%8b%d0%b1%d0%be%d1%80%d0%ba%d0%b8-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%b2%d1%80%d0%b5%d0%bc%d0%b5%d0%bd%d0%bd%d0%be%d0%b8-%d1%80%d1%8f%d0%b4-%d0%bf%d0%be%d0%b2%d1%82%d0%be%d1%80%d0%bd%d0%be%d0%b8-%d0%b2%d1%8b%d0%b1%d0%be%d1%80%d0%ba%d0%b8-python\/","title":{"rendered":"\u041a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u043f\u043e\u0432\u0442\u043e\u0440\u043d\u0443\u044e \u0432\u044b\u0431\u043e\u0440\u043a\u0443 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432 \u0432 python (\u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u041f\u043e\u0432\u0442\u043e\u0440\u043d\u0430\u044f \u0432\u044b\u0431\u043e\u0440\u043a\u0430<\/strong> \u0434\u0430\u043d\u043d\u044b\u0445 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432 \u043e\u0437\u043d\u0430\u0447\u0430\u0435\u0442 \u0441\u0443\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0438\u043b\u0438 \u0430\u0433\u0440\u0435\u0433\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0434\u0430\u043d\u043d\u044b\u0445 \u0437\u0430 \u043d\u043e\u0432\u044b\u0439 \u043f\u0435\u0440\u0438\u043e\u0434.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u044b\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u043f\u043e\u0432\u0442\u043e\u0440\u043d\u043e\u0439 \u0432\u044b\u0431\u043e\u0440\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432 \u0432 Python:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find sum of values in column1 by month<\/span>\nweekly_df[' <span style=\"color: #ff0000;\">column1<\/span> '] = df[' <span style=\"color: #ff0000;\">column1<\/span> ']. <span style=\"color: #3366ff;\">resample<\/span> (' <span style=\"color: #ff0000;\">M<\/span> '). <span style=\"color: #3366ff;\">sum<\/span> ()\n\n<span style=\"color: #008080;\">#find mean of values in column1 by week<\/span>\nweekly_df[' <span style=\"color: #ff0000;\">column1<\/span> '] = df[' <span style=\"color: #ff0000;\">column1<\/span> ']. <span style=\"color: #3366ff;\">resample<\/span> (' <span style=\"color: #ff0000;\">W<\/span> '). <span style=\"color: #3366ff;\">mean<\/span> () \n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u043f\u043e\u0432\u0442\u043e\u0440\u043d\u0443\u044e \u0432\u044b\u0431\u043e\u0440\u043a\u0443 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432 \u0434\u043b\u044f \u0440\u0430\u0437\u043d\u044b\u0445 \u043f\u0435\u0440\u0438\u043e\u0434\u043e\u0432 \u0432\u0440\u0435\u043c\u0435\u043d\u0438, \u0432 \u0442\u043e\u043c \u0447\u0438\u0441\u043b\u0435:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\u0421<\/strong> : \u0421\u0435\u043a\u0443\u043d\u0434\u044b<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u043c\u0438\u043d<\/strong> : \u041c\u0438\u043d\u0443\u0442\u044b<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u0427<\/strong> : \u0427\u0430\u0441\u044b<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u0414\u0436<\/strong> : \u0414\u0435\u043d\u044c<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u0412<\/strong> : \u041d\u0435\u0434\u0435\u043b\u044f<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u041c<\/strong> : \u041c\u0435\u0441\u044f\u0446<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u0412\u043e\u043f\u0440\u043e\u0441<\/strong> : \u0427\u0435\u0442\u0432\u0435\u0440\u0442\u044c<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u0410<\/strong> : \u0413\u043e\u0434<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u043f\u043e\u0432\u0442\u043e\u0440\u043d\u0443\u044e \u0432\u044b\u0431\u043e\u0440\u043a\u0443 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440: \u043f\u043e\u0432\u0442\u043e\u0440\u043d\u0430\u044f \u0432\u044b\u0431\u043e\u0440\u043a\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432 \u0432 Python<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 DataFrame pandas, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043e\u0431\u0449\u0438\u0439 \u043e\u0431\u044a\u0435\u043c \u043f\u0440\u043e\u0434\u0430\u0436, \u0441\u043e\u0432\u0435\u0440\u0448\u0430\u0435\u043c\u044b\u0445 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0435\u0439 \u043a\u0430\u0436\u0434\u044b\u0439 \u0447\u0430\u0441 \u0437\u0430 \u043f\u0435\u0440\u0438\u043e\u0434 \u0432 \u043e\u0434\u0438\u043d \u0433\u043e\u0434:<\/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<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#make this example reproducible\n<\/span>n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">seeds<\/span> (0)\n\n<span style=\"color: #008080;\">#create DataFrame with hourly index\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (index= <span style=\"color: #3366ff;\">pd.date_range<\/span> (' <span style=\"color: #ff0000;\">2020-01-06<\/span> ', ' <span style=\"color: #ff0000;\">2020-12-27<\/span> ', freq=' <span style=\"color: #ff0000;\">h<\/span> '))\n\n<span style=\"color: #008080;\">#add column to show sales by hour\n<\/span>df[' <span style=\"color: #ff0000;\">sales<\/span> '] = np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">randint<\/span> (low=0, high=20, size= <span style=\"color: #008000;\">len<\/span> (df. <span style=\"color: #3366ff;\">index<\/span> ))\n\n<span style=\"color: #008080;\">#view first five rows of DataFrame\n<\/span>df. <span style=\"color: #3366ff;\">head<\/span> ()\n\n\t             dirty\n2020-01-06 00:00:00 12\n2020-01-06 01:00:00 15\n2020-01-06 02:00:00 0\n2020-01-06 03:00:00 3\n2020-01-06 04:00:00 3\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0415\u0441\u043b\u0438 \u043c\u044b \u0441\u043e\u0437\u0434\u0430\u0434\u0438\u043c \u043b\u0438\u043d\u0435\u0439\u043d\u044b\u0439 \u0433\u0440\u0430\u0444\u0438\u043a \u0434\u043b\u044f \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u043e \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u0445, \u043e\u043d \u0431\u0443\u0434\u0435\u0442 \u0432\u044b\u0433\u043b\u044f\u0434\u0435\u0442\u044c \u0442\u0430\u043a:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<\/span>\n#plot time series data\n<span style=\"color: #000000;\">plt. <span style=\"color: #3366ff;\">plot<\/span> (df. <span style=\"color: #3366ff;\">index<\/span> , df. <span style=\"color: #3366ff;\">sales<\/span> , linewidth= <span style=\"color: #008000;\">3<\/span> )<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-21395 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/heures1.png\" alt=\"\" width=\"575\" height=\"376\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\u042d\u0442\u0443 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0443 \u0441\u043b\u043e\u0436\u043d\u043e \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u043c\u043e\u0436\u043d\u043e \u0441\u0443\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435 \u043e \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u0445 \u043f\u043e \u043d\u0435\u0434\u0435\u043b\u044f\u043c:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create new DataFrame\n<span style=\"color: #000000;\">weekly_df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ()\n\n<span style=\"color: #008080;\">#create 'sales' column that summarizes total sales by week\n<\/span>weekly_df[' <span style=\"color: #ff0000;\">sales<\/span> '] = df[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">resample<\/span> (' <span style=\"color: #ff0000;\">W<\/span> '). <span style=\"color: #3366ff;\">sum<\/span> ()\n\n<span style=\"color: #008080;\">#view first five rows of DataFrame\n<\/span>weekly_df. <span style=\"color: #3366ff;\">head<\/span> ()\n\n                dirty\n2020-01-12 1519\n2020-01-19 1589\n2020-01-26 1540\n2020-02-02 1562\n2020-02-09 1614<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u042d\u0442\u043e\u0442 \u043d\u043e\u0432\u044b\u0439 DataFrame \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u0441\u0443\u043c\u043c\u0443 \u043f\u0440\u043e\u0434\u0430\u0436 \u0437\u0430 \u043d\u0435\u0434\u0435\u043b\u044e.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u0430\u0442\u0435\u043c \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0433\u0440\u0430\u0444\u0438\u043a \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u044d\u0442\u0438 \u0435\u0436\u0435\u043d\u0435\u0434\u0435\u043b\u044c\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<\/span>\n#plot weekly sales data\n<span style=\"color: #000000;\">plt. <span style=\"color: #3366ff;\">plot<\/span> ( <span style=\"color: #3366ff;\">weekly_df.index<\/span> , <span style=\"color: #3366ff;\">weekly_df.sales<\/span> , linewidth= <span style=\"color: #008000;\">3<\/span> )<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-21396 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/fois2.png\" alt=\"\" width=\"556\" height=\"328\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\u042d\u0442\u0443 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0443 \u0433\u043e\u0440\u0430\u0437\u0434\u043e \u043b\u0435\u0433\u0447\u0435 \u0447\u0438\u0442\u0430\u0442\u044c, \u043f\u043e\u0441\u043a\u043e\u043b\u044c\u043a\u0443 \u043c\u044b \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u043c \u0434\u0430\u043d\u043d\u044b\u0435 \u043e \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u0445 \u0442\u043e\u043b\u044c\u043a\u043e \u0437\u0430 51 \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u0443\u044e \u043d\u0435\u0434\u0435\u043b\u044e, \u0432 \u043e\u0442\u043b\u0438\u0447\u0438\u0435 \u043e\u0442 \u0434\u0430\u043d\u043d\u044b\u0445 \u043e \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u0445 \u0437\u0430 8545 \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0445 \u0447\u0430\u0441\u043e\u0432 \u0432 \u043f\u0435\u0440\u0432\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0447\u0430\u043d\u0438\u0435<\/strong> . \u0412 \u044d\u0442\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043c\u044b \u0441\u0443\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043b\u0438 \u0434\u0430\u043d\u043d\u044b\u0435 \u043e \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u0445 \u043f\u043e \u043d\u0435\u0434\u0435\u043b\u044f\u043c, \u043d\u043e \u043c\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u043c \u0441\u0443\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0438\u0445 \u043f\u043e \u043c\u0435\u0441\u044f\u0446\u0430\u043c \u0438\u043b\u0438 \u043a\u0432\u0430\u0440\u0442\u0430\u043b\u0430\u043c, \u0435\u0441\u043b\u0438 \u0445\u043e\u0442\u0438\u043c \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0435\u0449\u0435 \u043c\u0435\u043d\u044c\u0448\u0435 \u0442\u043e\u0447\u0435\u043a \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430\u0445 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u0434\u0440\u0443\u0433\u0438\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u0432 Python:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ru\/\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0438-\u0440\u044f\u0434-matplotlib\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u0440\u044f\u0434 \u0432 Matplotlib<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043c\u043e\u0440\u0441\u043a\u0430\u044f-\u0445\u0440\u043e\u043d\u043e\u043b\u043e\u0433\u0438\u044f\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u0440\u044f\u0434 \u0432 Seaborn<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043a\u0430\u0440\u0442\u0430-\u043f\u0438\u0442\u043e\u043d\u0430\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c MAPE \u043f\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u043c \u0440\u044f\u0434\u0430\u043c \u0432 Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u041f\u043e\u0432\u0442\u043e\u0440\u043d\u0430\u044f \u0432\u044b\u0431\u043e\u0440\u043a\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432 \u043e\u0437\u043d\u0430\u0447\u0430\u0435\u0442 \u0441\u0443\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0438\u043b\u0438 \u0430\u0433\u0440\u0435\u0433\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0434\u0430\u043d\u043d\u044b\u0445 \u0437\u0430 \u043d\u043e\u0432\u044b\u0439 \u043f\u0435\u0440\u0438\u043e\u0434. \u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u044b\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u043f\u043e\u0432\u0442\u043e\u0440\u043d\u043e\u0439 \u0432\u044b\u0431\u043e\u0440\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432 \u0432 Python: #find sum of values in column1 by month weekly_df[&#8216; column1 &#8216;] = df[&#8216; column1 &#8216;]. resample (&#8216; M &#8216;). sum () #find mean of values in column1 by [&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-2361","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>\u041a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u043f\u043e\u0432\u0442\u043e\u0440\u043d\u0443\u044e \u0432\u044b\u0431\u043e\u0440\u043a\u0443 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432 \u0432 Python (\u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438)<\/title>\n<meta name=\"description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u043f\u043e\u0432\u0442\u043e\u0440\u043d\u0443\u044e \u0432\u044b\u0431\u043e\u0440\u043a\u0443 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432 \u0432 Python, \u0441 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ru\/\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0438-\u0440\u044f\u0434-\u043f\u043e\u0432\u0442\u043e\u0440\u043d\u043e\u0438-\u0432\u044b\u0431\u043e\u0440\u043a\u0438-python\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u041a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u043f\u043e\u0432\u0442\u043e\u0440\u043d\u0443\u044e \u0432\u044b\u0431\u043e\u0440\u043a\u0443 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432 \u0432 Python (\u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438)\" \/>\n<meta property=\"og:description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u043f\u043e\u0432\u0442\u043e\u0440\u043d\u0443\u044e \u0432\u044b\u0431\u043e\u0440\u043a\u0443 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432 \u0432 Python, \u0441 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ru\/\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0438-\u0440\u044f\u0434-\u043f\u043e\u0432\u0442\u043e\u0440\u043d\u043e\u0438-\u0432\u044b\u0431\u043e\u0440\u043a\u0438-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T14:41:49+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/heures1.png\" \/>\n<meta name=\"author\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e \u0430\u0432\u0442\u043e\u0440\u043e\u043c\" \/>\n\t<meta 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