{"id":3196,"date":"2023-07-18T17:44:30","date_gmt":"2023-07-18T17:44:30","guid":{"rendered":"https:\/\/statorials.org\/uk\/pandas-groupby-transform\/"},"modified":"2023-07-18T17:44:30","modified_gmt":"2023-07-18T17:44:30","slug":"pandas-groupby-transform","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/pandas-groupby-transform\/","title":{"rendered":"\u042f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 groupby() \u0456 transform() \u0443 pandas"},"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\u0456 \u043c\u0435\u0442\u043e\u0434\u0438 \u0434\u043b\u044f \u0441\u043f\u0456\u043b\u044c\u043d\u043e\u0433\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0444\u0443\u043d\u043a\u0446\u0456\u0439 <strong>groupby()<\/strong> \u0456 <strong>transform()<\/strong> \u0443 pandas DataFrame:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 1: \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 groupby() \u0456 transform() \u0456\u0437 \u0432\u0431\u0443\u0434\u043e\u0432\u0430\u043d\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0454\u044e<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">new<\/span> '] = df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #ff0000;\">group_var<\/span> ')[' <span style=\"color: #ff0000;\">value_var<\/span> ']. <span style=\"color: #3366ff;\">transform<\/span> (' <span style=\"color: #ff0000;\">mean<\/span> ')\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 2. \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 groupby() \u0456 transform() \u0456\u0437 \u0441\u043f\u0435\u0446\u0456\u0430\u043b\u044c\u043d\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0454\u044e<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">new<\/span> '] = df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #ff0000;\">group_var<\/span> ')[' <span style=\"color: #ff0000;\">value_var<\/span> ']. <span style=\"color: #3366ff;\">transform<\/span> ( <span style=\"color: #008000;\">lambda<\/span> x: some function)<\/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 \u043a\u043e\u0436\u0435\u043d \u043c\u0435\u0442\u043e\u0434 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456 \u0437 \u0442\u0430\u043a\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;\">team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [30, 22, 19, 14, 14, 11, 20, 28]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<span style=\"color: #008000;\">print<\/span><\/span> (df)\n\n  team points\n0 to 30\n1 to 22\n2 to 19\n3 to 14\n4 B 14\n5 B 11\n6 B 20\n7 B 28\n<\/b><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 groupby() \u0456 transform() \u0456\u0437 \u0432\u0431\u0443\u0434\u043e\u0432\u0430\u043d\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0454\u044e<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 <strong>groupby(<\/strong> ) \u0456 <strong>transform()<\/strong> \u0434\u043b\u044f \u0434\u043e\u0434\u0430\u0432\u0430\u043d\u043d\u044f \u043d\u043e\u0432\u043e\u0433\u043e \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0434\u043e DataFrame \u043f\u0456\u0434 \u043d\u0430\u0437\u0432\u043e\u044e mean_points:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create new column called mean_points\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">mean_points<\/span> '] = df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #ff0000;\">team<\/span> ')[' <span style=\"color: #ff0000;\">points<\/span> ']. <span style=\"color: #3366ff;\">transform<\/span> (' <span style=\"color: #ff0000;\">mean<\/span> ')\n<\/span>\n#view updated DataFrame\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points mean_points\n0 to 30 21.25\n1 to 22 21.25\n2 A 19 21.25\n3 to 14 21.25\n4 B 14 18.25\n5 B 11 18.25\n6 B 20 18.25\n7 B 28 18.25<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0421\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u043e\u0447\u043e\u043a \u0434\u043b\u044f \u0433\u0440\u0430\u0432\u0446\u0456\u0432 \u043a\u043e\u043c\u0430\u043d\u0434\u0438 A \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u043b\u043e <strong>21,25<\/strong> , \u0430 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u043e\u0447\u043e\u043a \u0434\u043b\u044f \u0433\u0440\u0430\u0432\u0446\u0456\u0432 \u043a\u043e\u043c\u0430\u043d\u0434\u0438 B \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u043b\u043e <strong>18,25<\/strong> , \u0442\u043e\u043c\u0443 \u0446\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0431\u0443\u043b\u0438 \u043f\u0440\u0438\u0437\u043d\u0430\u0447\u0435\u043d\u0456 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u043d\u043e \u043a\u043e\u0436\u043d\u043e\u043c\u0443 \u0433\u0440\u0430\u0432\u0446\u0435\u0432\u0456 \u0432 \u043d\u043e\u0432\u043e\u043c\u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u0456.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u0430\u0443\u0432\u0430\u0436\u0442\u0435, \u0449\u043e \u043c\u0438 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0456\u043d\u0448\u0443 \u0432\u0431\u0443\u0434\u043e\u0432\u0430\u043d\u0443 \u0444\u0443\u043d\u043a\u0446\u0456\u044e, \u0442\u0430\u043a\u0443 \u044f\u043a <strong>sum()<\/strong> , \u0449\u043e\u0431 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043d\u043e\u0432\u0438\u0439 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0456\u0437 \u0441\u0443\u043c\u043e\u044e \u043e\u0447\u043e\u043a, \u043d\u0430\u0431\u0440\u0430\u043d\u0438\u0445 \u043a\u043e\u0436\u043d\u043e\u044e \u043a\u043e\u043c\u0430\u043d\u0434\u043e\u044e:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create new column called sum_points\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">sum_points<\/span> '] = df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #ff0000;\">team<\/span> ')[' <span style=\"color: #ff0000;\">points<\/span> ']. <span style=\"color: #3366ff;\">transform<\/span> (' <span style=\"color: #ff0000;\">sum<\/span> ')\n<\/span>\n#view updated DataFrame\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points sum_points\n0 to 30 85\n1 to 22 85\n2 A 19 85\n3 to 14 85\n4 B 14 73\n5 B 11 73\n6 B 20 73\n7 B 28 73<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0421\u0443\u043c\u0430 \u043e\u0447\u043e\u043a \u0433\u0440\u0430\u0432\u0446\u0456\u0432 \u043a\u043e\u043c\u0430\u043d\u0434\u0438 A \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u043b\u0430 <b>85<\/b> , \u0430 \u0441\u0443\u043c\u0430 \u043e\u0447\u043e\u043a \u0433\u0440\u0430\u0432\u0446\u0456\u0432 \u043a\u043e\u043c\u0430\u043d\u0434\u0438 B \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u043b\u0430 <strong>73<\/strong> , \u0442\u043e\u043c\u0443 \u0446\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0431\u0443\u043b\u0438 \u043f\u0440\u0438\u0437\u043d\u0430\u0447\u0435\u043d\u0456 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u043d\u043e \u043a\u043e\u0436\u043d\u043e\u043c\u0443 \u0433\u0440\u0430\u0432\u0446\u0435\u0432\u0456 \u0432 \u043d\u043e\u0432\u043e\u043c\u0443 \u0441\u0442\u043e\u0432\u043f\u0447\u0438\u043a\u0443.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 groupby() \u0456 transform() \u0456\u0437 \u0441\u043f\u0435\u0446\u0456\u0430\u043b\u044c\u043d\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0454\u044e<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043a\u043e\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 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 <strong>groupby(<\/strong> ) \u0456 <strong>transform()<\/strong> \u0434\u043b\u044f \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0441\u043f\u0435\u0446\u0456\u0430\u043b\u044c\u043d\u043e\u0457 \u0444\u0443\u043d\u043a\u0446\u0456\u0457, \u044f\u043a\u0430 \u043e\u0431\u0447\u0438\u0441\u043b\u044e\u0454 \u0432\u0456\u0434\u0441\u043e\u0442\u043e\u043a \u0437\u0430\u0433\u0430\u043b\u044c\u043d\u043e\u0457 \u043a\u0456\u043b\u044c\u043a\u043e\u0441\u0442\u0456 \u043e\u0447\u043e\u043a, \u043d\u0430\u0431\u0440\u0430\u043d\u0438\u0445 \u043a\u043e\u0436\u043d\u0438\u043c \u0433\u0440\u0430\u0432\u0446\u0435\u043c \u0443 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u043d\u0438\u0445 \u043a\u043e\u043c\u0430\u043d\u0434\u0430\u0445:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create new column called percent_of_points\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">percent_of_points<\/span> '] = df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #ff0000;\">team<\/span> ')[' <span style=\"color: #ff0000;\">points<\/span> ']. <span style=\"color: #3366ff;\">transform<\/span> ( <span style=\"color: #008000;\">lambda<\/span> x:x\/ <span style=\"color: #3366ff;\">x.sum<\/span> ())\n<\/span>\n#view updated DataFrame\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points percent_of_points\n0 A 30 0.352941\n1 A 22 0.258824\n2 A 19 0.223529\n3 A 14 0.164706\n4 B 14 0.191781\n5 B 11 0.150685\n6 B 20 0.273973\n7 B 28 0.383562\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><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><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u041f\u0435\u0440\u0448\u0438\u0439 \u0433\u0440\u0430\u0432\u0435\u0446\u044c \u043a\u043e\u043c\u0430\u043d\u0434\u0438 A \u043d\u0430\u0431\u0440\u0430\u0432 30 \u043e\u0447\u043e\u043a \u0456\u0437 \u0437\u0430\u0433\u0430\u043b\u044c\u043d\u043e\u0457 \u043a\u0456\u043b\u044c\u043a\u043e\u0441\u0442\u0456 85 \u0441\u0435\u0440\u0435\u0434 \u0433\u0440\u0430\u0432\u0446\u0456\u0432 \u043a\u043e\u043c\u0430\u043d\u0434\u0438 A. \u0422\u0430\u043a\u0438\u043c \u0447\u0438\u043d\u043e\u043c, \u0439\u043e\u0433\u043e \u0432\u0456\u0434\u0441\u043e\u0442\u043e\u043a \u0432\u0456\u0434 \u0437\u0430\u0433\u0430\u043b\u044c\u043d\u043e\u0457 \u043a\u0456\u043b\u044c\u043a\u043e\u0441\u0442\u0456 \u043d\u0430\u0431\u0440\u0430\u043d\u0438\u0445 \u043e\u0447\u043e\u043a \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0432 30\/85 = <strong>0,352941<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u0414\u0440\u0443\u0433\u0438\u0439 \u0433\u0440\u0430\u0432\u0435\u0446\u044c \u043a\u043e\u043c\u0430\u043d\u0434\u0438 \u0410 \u043d\u0430\u0431\u0440\u0430\u0432 22 \u043e\u0447\u043a\u0438 \u0456\u0437 \u0437\u0430\u0433\u0430\u043b\u044c\u043d\u043e\u0457 \u043a\u0456\u043b\u044c\u043a\u043e\u0441\u0442\u0456 85 \u0441\u0435\u0440\u0435\u0434 \u0433\u0440\u0430\u0432\u0446\u0456\u0432 \u043a\u043e\u043c\u0430\u043d\u0434\u0438 \u0410. \u0422\u0430\u043a\u0438\u043c \u0447\u0438\u043d\u043e\u043c, \u0439\u043e\u0433\u043e \u0432\u0456\u0434\u0441\u043e\u0442\u043e\u043a \u0432\u0456\u0434 \u0437\u0430\u0433\u0430\u043b\u044c\u043d\u043e\u0457 \u043a\u0456\u043b\u044c\u043a\u043e\u0441\u0442\u0456 \u043d\u0430\u0431\u0440\u0430\u043d\u0438\u0445 \u043e\u0447\u043e\u043a \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0432 22\/85 = <strong>0,258824<\/strong> .<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0406 \u0442\u0430\u043a \u0434\u0430\u043b\u0456.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u0430\u0443\u0432\u0430\u0436\u0442\u0435, \u0449\u043e \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 <strong>\u043b\u044f\u043c\u0431\u0434\u0430-<\/strong> \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 \u0443 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 <strong>transform()<\/strong> \u0434\u043b\u044f \u0432\u0438\u043a\u043e\u043d\u0430\u043d\u043d\u044f \u0431\u0443\u0434\u044c-\u044f\u043a\u0438\u0445 \u0432\u043b\u0430\u0441\u043d\u0438\u0445 \u043e\u0431\u0447\u0438\u0441\u043b\u0435\u043d\u044c, \u044f\u043a\u0456 \u043c\u0438 \u0445\u043e\u0447\u0435\u043c\u043e.<\/span><\/p>\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\/\u043f\u0430\u043d\u0434\u0438,-\u0437\u0433\u0440\u0443\u043f\u043e\u0432\u0430\u043d\u0456-\u0437\u0430-\u0441\u0443\u043c\u043e\u044e\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0438\u043a\u043e\u043d\u0430\u0442\u0438 \u0441\u0443\u043c\u0443 GroupBy \u0443 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0433\u0440\u0443\u043f\u0443\u044e\u0442\u044c\u0441\u044f-\u0437\u0430-\u0441\u044e\u0436\u0435\u0442\u043e\u043c\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 Groupby \u0442\u0430 Plot \u0443 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0433\u0440\u0443\u043f\u0443\u044e\u0442\u044c\u0441\u044f-\u0437\u0430-\u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044e-\u0443\u043d\u0456\u043a\u0430\u043b\u044c\u043d\u0438\u0445\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u0443\u043d\u0456\u043a\u0430\u043b\u044c\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e GroupBy \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\u0456 \u043c\u0435\u0442\u043e\u0434\u0438 \u0434\u043b\u044f \u0441\u043f\u0456\u043b\u044c\u043d\u043e\u0433\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0444\u0443\u043d\u043a\u0446\u0456\u0439 groupby() \u0456 transform() \u0443 pandas DataFrame: \u0421\u043f\u043e\u0441\u0456\u0431 1: \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 groupby() \u0456 transform() \u0456\u0437 \u0432\u0431\u0443\u0434\u043e\u0432\u0430\u043d\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0454\u044e df[&#8216; new &#8216;] = df. groupby (&#8216; group_var &#8216;)[&#8216; value_var &#8216;]. transform (&#8216; mean &#8216;) \u0421\u043f\u043e\u0441\u0456\u0431 2. \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 groupby() \u0456 transform() \u0456\u0437 \u0441\u043f\u0435\u0446\u0456\u0430\u043b\u044c\u043d\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0454\u044e df[&#8216; new &#8216;] = df. groupby (&#8216; [&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 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 groupby() \u0456 transform() \u0443 Pandas \u2013 Statology<\/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 \u0440\u0430\u0437\u043e\u043c \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 groupby() \u0456 transform() \u0443 pandas, \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0447\u0438 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\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\/uk\/pandas-groupby-transform\/\" \/>\n<meta property=\"og:locale\" content=\"uk_UA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u042f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 groupby() \u0456 transform() \u0443 Pandas \u2013 Statology\" \/>\n<meta property=\"og:description\" content=\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u0440\u0430\u0437\u043e\u043c \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 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