{"id":2337,"date":"2023-07-22T17:02:44","date_gmt":"2023-07-22T17:02:44","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%bf%d1%80%d0%be%d0%ba%d0%b0%d1%82-%d0%bc%d0%b5%d0%b4%d1%96%d0%b0%d0%bd\/"},"modified":"2023-07-22T17:02:44","modified_gmt":"2023-07-22T17:02:44","slug":"%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%bf%d1%80%d0%be%d0%ba%d0%b0%d1%82-%d0%bc%d0%b5%d0%b4%d1%96%d0%b0%d0%bd","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%bf%d1%80%d0%be%d0%ba%d0%b0%d1%82-%d0%bc%d0%b5%d0%b4%d1%96%d0%b0%d0%bd\/","title":{"rendered":"\u042f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u043a\u043e\u0432\u0437\u043d\u0443 \u043c\u0435\u0434\u0456\u0430\u043d\u0443 \u0432 pandas: \u0456\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u041a\u043e\u0432\u0437\u0430\u044e\u0447\u0430 \u043c\u0435\u0434\u0456\u0430\u043d\u0430<\/strong> \u2014 \u0446\u0435 \u043c\u0435\u0434\u0456\u0430\u043d\u0430 \u043a\u0456\u043b\u044c\u043a\u043e\u0445 \u043f\u043e\u043f\u0435\u0440\u0435\u0434\u043d\u0456\u0445 \u043f\u0435\u0440\u0456\u043e\u0434\u0456\u0432 \u0443 \u0447\u0430\u0441\u043e\u0432\u043e\u043c\u0443 \u0440\u044f\u0434\u0456.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0429\u043e\u0431 \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0437\u043c\u0456\u043d\u043d\u0443 \u043c\u0435\u0434\u0456\u0430\u043d\u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0432 pandas DataFrame, \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;\">#calculate rolling median of previous 3 periods<\/span>\ndf[' <span style=\"color: #ff0000;\">column_name<\/span> ']. <span style=\"color: #3366ff;\">rolling<\/span> (3). <span style=\"color: #3366ff;\">median<\/span> ()\n<\/strong><\/pre>\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\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u044e \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434: \u043e\u0431\u0447\u0438\u0441\u043b\u0456\u0442\u044c \u0440\u0443\u0445\u043e\u043c\u0443 \u043c\u0435\u0434\u0456\u0430\u043d\u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u044f<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041f\u0440\u0438\u043f\u0443\u0441\u0442\u0456\u043c\u043e, \u0449\u043e \u0443 \u043d\u0430\u0441 \u0454 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0456 pandas DataFrame:<\/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><span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">month<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12],\n                   ' <span style=\"color: #ff0000;\">leads<\/span> ': [13, 15, 16, 15, 17, 20, 22, 24, 25, 26, 23, 24],\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [22, 24, 23, 27, 26, 26, 27, 30, 33, 32, 27, 25]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tmonth sales leads\n0 1 13 22\n1 2 15 24\n2 3 16 23\n3 4 15 27\n4 5 17 26\n5 6 20 26\n6 7 22 27\n7 8 24 30\n8 9 25 33\n9 10 26 32\n10 11 23 27\n11 12 24 25\n<\/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\u0430\u0442\u0438 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0439 \u043d\u0438\u0436\u0447\u0435 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043d\u043e\u0432\u0438\u0439 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c, \u0449\u043e \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0437\u043c\u0456\u043d\u043d\u0443 \u043c\u0435\u0434\u0456\u0430\u043d\u0443 \u00ab\u043f\u0440\u043e\u0434\u0430\u0436\u0456\u0432\u00bb \u0437\u0430 \u043f\u043e\u043f\u0435\u0440\u0435\u0434\u043d\u0456 3 \u043f\u0435\u0440\u0456\u043e\u0434\u0438:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 3-month rolling median\n<\/span>df[' <span style=\"color: #ff0000;\">sales_rolling3<\/span> '] = df[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">rolling<\/span> (3). <span style=\"color: #3366ff;\">median<\/span> ()\n\n<span style=\"color: #008080;\">#view updated data frame\n<\/span>df\n\n\tmonth leads sales sales_rolling3\n0 1 13 22 NaN\n1 2 15 24 NaN\n2 3 16 23 23.0\n3 4 15 27 24.0\n4 5 17 26 26.0\n5 6 20 26 26.0\n6 7 22 27 26.0\n7 8 24 30 27.0\n8 9 25 33 30.0\n9 10 26 32 32.0\n10 11 23 27 32.0\n11 12 24 25 27.0<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0440\u0443\u0447\u043d\u0443 \u043f\u0435\u0440\u0435\u0432\u0456\u0440\u0438\u0442\u0438, \u0449\u043e \u043a\u043e\u0432\u0437\u0430\u044e\u0447\u0430 \u043c\u0435\u0434\u0456\u0430\u043d\u0430 \u043f\u0440\u043e\u0434\u0430\u0436\u0456\u0432, \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0430 \u0437\u0430 \u043c\u0456\u0441\u044f\u0446\u044c 3, \u0454 \u043c\u0435\u0434\u0456\u0430\u043d\u043e\u044e \u0437\u0430 \u043f\u043e\u043f\u0435\u0440\u0435\u0434\u043d\u0456 3 \u043c\u0456\u0441\u044f\u0446\u0456:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u041c\u0435\u0434\u0456\u0430\u043d\u0430 22, 24, 23 = <strong>23,0<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0422\u0430\u043a \u0441\u0430\u043c\u043e \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u043f\u0435\u0440\u0435\u0432\u0456\u0440\u0438\u0442\u0438 \u043a\u043e\u0432\u0437\u043d\u0443 \u043c\u0435\u0434\u0456\u0430\u043d\u0443 \u043f\u0440\u043e\u0434\u0430\u0436\u0456\u0432 \u0437\u0430 \u043c\u0456\u0441\u044f\u0446\u044c 4:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u041c\u0435\u0434\u0456\u0430\u043d\u0430 24, 23, 27 = <strong>24,0<\/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 \u043a\u043e\u0432\u0437\u043d\u043e\u0457 \u043c\u0435\u0434\u0456\u0430\u043d\u0438 \u0437\u0430 6 \u043c\u0456\u0441\u044f\u0446\u0456\u0432:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 6-month rolling median\n<span style=\"color: #000000;\">df['<\/span> <span style=\"color: #ff0000;\">sales_rolling6<\/span> <span style=\"color: #000000;\">'] = df['<\/span> <span style=\"color: #ff0000;\">sales<\/span> <span style=\"color: #000000;\">'].<\/span> <span style=\"color: #3366ff;\">rolling<\/span> <span style=\"color: #000000;\">(6).<\/span> <span style=\"color: #3366ff;\">median<\/span> <span style=\"color: #000000;\">()<\/span><\/span>\n\n<span style=\"color: #008080;\">#view updated data frame\n<\/span>df\n\nmonth leads sales sales_rolling3 sales_rolling6\n0 1 13 22 NaN NaN\n1 2 15 24 NaN NaN\n2 3 16 23 23.0 NaN\n3 4 15 27 24.0 NaN\n4 5 17 26 26.0 NaN\n5 6 20 26 26.0 25.0\n6 7 22 27 26.0 26.0\n7 8 24 30 27.0 26.5\n8 9 25 33 30.0 27.0\n9 10 26 32 32.0 28.5\n10 11 23 27 32.0 28.5\n11 12 24 25 27.0 28.5\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h3>\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\/\u0437\u043b\u0456-\u043a\u043e\u0442\u044f\u0442\u044c\u0441\u044f-\u043f\u0430\u043d\u0434\u0438\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u043a\u043e\u0432\u0437\u043d\u0435 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0432 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u043a\u043e\u0440\u0435\u043b\u044f\u0446\u0456\u0438\u043d\u0438\u0438-\u043f\u0456\u0434\u0448\u0438\u043f\u043d\u0438\u043a\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0440\u043e\u0437\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u043e\u0432\u0437\u043d\u0443 \u043a\u043e\u0440\u0435\u043b\u044f\u0446\u0456\u044e \u0432 \u043f\u0430\u043d\u0434\u0430\u0445<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u0432\u0456\u0434\u0441\u043e\u0442\u043a\u043e\u0432\u0430-\u0437\u043c\u0456\u043d\u0430-\u043f\u0430\u043d\u0434\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0440\u043e\u0437\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u0432\u0456\u0434\u0441\u043e\u0442\u043e\u043a \u0437\u043c\u0456\u043d\u0438 \u043f\u0430\u043d\u0434<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u041a\u043e\u0432\u0437\u0430\u044e\u0447\u0430 \u043c\u0435\u0434\u0456\u0430\u043d\u0430 \u2014 \u0446\u0435 \u043c\u0435\u0434\u0456\u0430\u043d\u0430 \u043a\u0456\u043b\u044c\u043a\u043e\u0445 \u043f\u043e\u043f\u0435\u0440\u0435\u0434\u043d\u0456\u0445 \u043f\u0435\u0440\u0456\u043e\u0434\u0456\u0432 \u0443 \u0447\u0430\u0441\u043e\u0432\u043e\u043c\u0443 \u0440\u044f\u0434\u0456. \u0429\u043e\u0431 \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0437\u043c\u0456\u043d\u043d\u0443 \u043c\u0435\u0434\u0456\u0430\u043d\u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0432 pandas DataFrame, \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: #calculate rolling median of previous 3 periods df[&#8216; column_name &#8216;]. rolling (3). median () \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\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u044e \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456. \u041f\u0440\u0438\u043a\u043b\u0430\u0434: \u043e\u0431\u0447\u0438\u0441\u043b\u0456\u0442\u044c \u0440\u0443\u0445\u043e\u043c\u0443 \u043c\u0435\u0434\u0456\u0430\u043d\u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u041f\u0440\u0438\u043f\u0443\u0441\u0442\u0456\u043c\u043e, \u0449\u043e [&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 \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u043a\u043e\u0432\u0437\u043d\u0443 \u043c\u0435\u0434\u0456\u0430\u043d\u0443 \u0432 Pandas (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438) - \u0421\u0442\u0430\u0442\u043e\u0440\u0456\u0430\u043b\u0438<\/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 \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0440\u0443\u0445\u043e\u043c\u0443 \u043c\u0435\u0434\u0456\u0430\u043d\u0443 \u0432 \u043f\u0430\u043d\u0434\u0430\u0445, \u043d\u0430 \u043a\u0456\u043b\u044c\u043a\u043e\u0445 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u0445.\" \/>\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\/uk\/\u043f\u0430\u043d\u0434\u0438-\u043f\u0440\u043e\u043a\u0430\u0442-\u043c\u0435\u0434\u0456\u0430\u043d\/\" \/>\n<meta property=\"og:locale\" content=\"uk_UA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u042f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u043a\u043e\u0432\u0437\u043d\u0443 \u043c\u0435\u0434\u0456\u0430\u043d\u0443 \u0432 Pandas (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438) - \u0421\u0442\u0430\u0442\u043e\u0440\u0456\u0430\u043b\u0438\" \/>\n<meta property=\"og:description\" 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