{"id":2349,"date":"2023-07-22T15:45:51","date_gmt":"2023-07-22T15:45:51","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b7%d0%b3%d1%80%d1%83%d0%bf%d0%be%d0%b2%d0%b0%d0%bd%d1%96-%d0%b7%d0%b0-%d1%96%d0%bd%d0%b4%d0%b5%d0%ba%d1%81%d0%be%d0%bc\/"},"modified":"2023-07-22T15:45:51","modified_gmt":"2023-07-22T15:45:51","slug":"%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b7%d0%b3%d1%80%d1%83%d0%bf%d0%be%d0%b2%d0%b0%d0%bd%d1%96-%d0%b7%d0%b0-%d1%96%d0%bd%d0%b4%d0%b5%d0%ba%d1%81%d0%be%d0%bc","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b7%d0%b3%d1%80%d1%83%d0%bf%d0%be%d0%b2%d0%b0%d0%bd%d1%96-%d0%b7%d0%b0-%d1%96%d0%bd%d0%b4%d0%b5%d0%ba%d1%81%d0%be%d0%bc\/","title":{"rendered":"Pandas: \u044f\u043a \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u0442\u0438 \u0437\u0430 \u0456\u043d\u0434\u0435\u043a\u0441\u043e\u043c \u0456 \u0432\u0438\u043a\u043e\u043d\u0443\u0432\u0430\u0442\u0438 \u043e\u0431\u0447\u0438\u0441\u043b\u0435\u043d\u043d\u044f"},"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 \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u0430 \u043e\u0434\u043d\u0438\u043c \u0430\u0431\u043e \u0434\u0435\u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u0441\u0442\u043e\u0432\u043f\u0446\u044f\u043c\u0438 \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u0432 pandas \u0456 \u0432\u0438\u043a\u043e\u043d\u0430\u043d\u043d\u044f \u043e\u0431\u0447\u0438\u0441\u043b\u0435\u043d\u044c:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 1: \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u0430 \u0441\u0442\u043e\u0432\u043f\u0446\u0435\u043c \u0456\u043d\u0434\u0435\u043a\u0441\u0443<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #ff0000;\">index1<\/span> ')[' <span style=\"color: #ff0000;\">numeric_column<\/span> ']. <span style=\"color: #3366ff;\">max<\/span> ()\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 2: \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u0430 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u0441\u0442\u043e\u0432\u043f\u0446\u044f\u043c\u0438 \u0456\u043d\u0434\u0435\u043a\u0441\u0443<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">groupby<\/span> ([' <span style=\"color: #ff0000;\">index1<\/span> ',' <span style=\"color: #ff0000;\">index2<\/span> '])[' <span style=\"color: #ff0000;\">numeric_column<\/span> ']. <span style=\"color: #3366ff;\">sum<\/span> ()<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 3: \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u0430 \u0441\u0442\u043e\u0432\u043f\u0446\u0435\u043c \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u0442\u0430 \u0437\u0432\u0438\u0447\u0430\u0439\u043d\u0438\u043c \u0441\u0442\u043e\u0432\u043f\u0446\u0435\u043c<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">groupby<\/span> ([' <span style=\"color: #ff0000;\">index1<\/span> ',' <span style=\"color: #ff0000;\">numeric_column1<\/span> '])[' <span style=\"color: #ff0000;\">numeric_column2<\/span> ']. <span style=\"color: #3366ff;\">nunique<\/span> ()<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0445 \u043d\u0438\u0436\u0447\u0435 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u0445 \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 \u043a\u043e\u0436\u0435\u043d \u043c\u0435\u0442\u043e\u0434 \u0456\u0437 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u043c pandas DataFrame, \u044f\u043a\u0438\u0439 \u043c\u0430\u0454 MultiIndex:<\/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\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B'],\n                   ' <span style=\"color: #ff0000;\">position<\/span> ': ['G', 'G', 'G', 'F', 'F', 'G', 'G', 'F', 'F', 'F'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [7, 7, 7, 19, 16, 9, 10, 10, 8, 8],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [8, 8, 8, 10, 11, 12, 13, 13, 15, 11]})\n\n<span style=\"color: #008080;\">#set 'team' column to be index column\n<\/span>df. <span style=\"color: #3366ff;\">set_index<\/span> ([' <span style=\"color: #ff0000;\">team<\/span> ', ' <span style=\"color: #ff0000;\">position<\/span> '], inplace= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\t\t rebound points\nteam position\t\t\nA G 7 8\n        G 7 8\n        G 7 8\n        F 19 10\n        F 16 11\nB G 9 12\n        G 10 13\n        F 10 13\n        F 8 15\n        F 8 11\n<\/strong><\/span><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 1: \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u0430 \u0441\u0442\u043e\u0432\u043f\u0446\u0435\u043c \u0456\u043d\u0434\u0435\u043a\u0441\u0443<\/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 \u0437\u043d\u0430\u0439\u0442\u0438 \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u00abpoints\u00bb, \u0437\u0433\u0440\u0443\u043f\u043e\u0432\u0430\u043d\u043e\u0433\u043e \u0437\u0430 \u0441\u0442\u043e\u0432\u043f\u0446\u0435\u043c \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u00abposition\u00bb:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find max value of 'points' grouped by 'position index column\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #ff0000;\">position<\/span> ')[' <span style=\"color: #ff0000;\">points<\/span> ']. <span style=\"color: #3366ff;\">max<\/span> ()\n\nposition\nF 19\nG 10\nName: points, dtype: int64<\/span>\n<\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 2: \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u0430 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u0441\u0442\u043e\u0432\u043f\u0446\u044f\u043c\u0438 \u0456\u043d\u0434\u0435\u043a\u0441\u0443<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u043e\u043c\u0443 \u043d\u0438\u0436\u0447\u0435 \u043a\u043e\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u0437\u043d\u0430\u0439\u0442\u0438 \u0441\u0443\u043c\u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u00ab\u043e\u0447\u043a\u0438\u00bb, \u0437\u0433\u0440\u0443\u043f\u043e\u0432\u0430\u043d\u0443 \u0437\u0430 \u0441\u0442\u043e\u0432\u043f\u0446\u044f\u043c\u0438 \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u00ab\u043a\u043e\u043c\u0430\u043d\u0434\u0430\u00bb \u0442\u0430 \u00ab\u043f\u043e\u0437\u0438\u0446\u0456\u044f\u00bb.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find max value of 'points' grouped by 'position index column\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">groupby<\/span> ([' <span style=\"color: #ff0000;\">team<\/span> ', ' <span style=\"color: #ff0000;\">position<\/span> '])[' <span style=\"color: #ff0000;\">points<\/span> ']. <span style=\"color: #3366ff;\">sum<\/span> ()\n\nteam position\nAF35\n      G21\nBF 26\n      G 19\nName: points, dtype: int64<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 3: \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u0430 \u0441\u0442\u043e\u0432\u043f\u0446\u0435\u043c \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u0442\u0430 \u0437\u0432\u0438\u0447\u0430\u0439\u043d\u0438\u043c \u0441\u0442\u043e\u0432\u043f\u0446\u0435\u043c<\/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 \u0437\u043d\u0430\u0439\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0443\u043d\u0456\u043a\u0430\u043b\u044c\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u00ab\u043f\u0456\u0434\u0431\u0438\u0440\u0430\u043d\u043d\u044f\u00bb, \u0437\u0433\u0440\u0443\u043f\u043e\u0432\u0430\u043d\u0438\u0445 \u0437\u0430 \u0441\u0442\u043e\u0432\u043f\u0446\u0435\u043c \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u00ab\u043a\u043e\u043c\u0430\u043d\u0434\u0430\u00bb \u0442\u0430 \u0437\u0432\u0438\u0447\u0430\u0439\u043d\u0438\u043c \u0441\u0442\u043e\u0432\u043f\u0446\u0435\u043c \u00ab\u043e\u0447\u043a\u0438\u00bb:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find max value of 'points' grouped by 'position index column\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">groupby<\/span> ([' <span style=\"color: #ff0000;\">team<\/span> ', ' <span style=\"color: #ff0000;\">points<\/span> '])[' <span style=\"color: #ff0000;\">rebounds<\/span> ']. <span style=\"color: #3366ff;\">nunique<\/span> ()\n\nteam points\nAt 7 1\n      16 1\n      19 1\nB 8 2\n      9 1\n      10 1\nName: rebounds, dtype: int64<\/span><\/span><\/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\/\u043f\u0430\u043d\u0434\u0438-\u043c\u0430\u044e\u0442\u044c-\u0443\u043d\u0456\u043a\u0430\u043b\u044c\u043d\u0456-\u0446\u0456\u043d\u043d\u043e\u0441\u0442\u0456\/\" 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 \u0432 \u043f\u0430\u043d\u0434\u0430\u0445<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/pandas-flatten-multiindex\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0437\u0432\u0435\u0441\u0442\u0438 MultiIndex \u0443 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0437\u043c\u0456\u043d\u044e\u044e\u0442\u044c-\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f-\u0456\u043d\u0434\u0435\u043a\u0441\u0443\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0437\u043c\u0456\u043d\u0438\u0442\u0438 \u043e\u0434\u043d\u0435 \u0430\u0431\u043e \u043a\u0456\u043b\u044c\u043a\u0430 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u0432 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u0456\u043d\u0434\u0435\u043a\u0441-\u0441\u043a\u0438\u0434\u0430\u043d\u043d\u044f-\u043f\u0430\u043d\u0434\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0441\u043a\u0438\u043d\u0443\u0442\u0438 \u0456\u043d\u0434\u0435\u043a\u0441 \u0443 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 \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u0430 \u043e\u0434\u043d\u0438\u043c \u0430\u0431\u043e \u0434\u0435\u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u0441\u0442\u043e\u0432\u043f\u0446\u044f\u043c\u0438 \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u0432 pandas \u0456 \u0432\u0438\u043a\u043e\u043d\u0430\u043d\u043d\u044f \u043e\u0431\u0447\u0438\u0441\u043b\u0435\u043d\u044c: \u0421\u043f\u043e\u0441\u0456\u0431 1: \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u0430 \u0441\u0442\u043e\u0432\u043f\u0446\u0435\u043c \u0456\u043d\u0434\u0435\u043a\u0441\u0443 df. groupby (&#8216; index1 &#8216;)[&#8216; numeric_column &#8216;]. max () \u0421\u043f\u043e\u0441\u0456\u0431 2: \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u0430 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u0441\u0442\u043e\u0432\u043f\u0446\u044f\u043c\u0438 \u0456\u043d\u0434\u0435\u043a\u0441\u0443 df. groupby ([&#8216; index1 &#8216;,&#8217; index2 &#8216;])[&#8216; numeric_column &#8216;]. sum () \u0421\u043f\u043e\u0441\u0456\u0431 3: \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u0430 [&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 \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u0442\u0438 \u0437\u0430 \u0456\u043d\u0434\u0435\u043a\u0441\u043e\u043c \u0456 \u043e\u0431\u0447\u0438\u0441\u043b\u044e\u0432\u0430\u0442\u0438 - \u0421\u0442\u0430\u0442\u043e\u043b\u043e\u0433\u0456\u044f<\/title>\n<meta name=\"description\" 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property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: \u042f\u043a \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u0442\u0438 \u0437\u0430 \u0456\u043d\u0434\u0435\u043a\u0441\u043e\u043c \u0456 \u043e\u0431\u0447\u0438\u0441\u043b\u044e\u0432\u0430\u0442\u0438 - \u0421\u0442\u0430\u0442\u043e\u043b\u043e\u0433\u0456\u044f\" \/>\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 \u0437\u0433\u0440\u0443\u043f\u0443\u0432\u0430\u0442\u0438 \u0437\u0430 \u0441\u0442\u043e\u0432\u043f\u0446\u0435\u043c \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u0432 pandas, \u0430 \u043f\u043e\u0442\u0456\u043c \u0432\u0438\u043a\u043e\u043d\u0430\u0442\u0438 \u043e\u0431\u0447\u0438\u0441\u043b\u0435\u043d\u043d\u044f \u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0437\u0433\u0440\u0443\u043f\u043e\u0432\u0430\u043d\u0456-\u0437\u0430-\u0456\u043d\u0434\u0435\u043a\u0441\u043e\u043c\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T15:45:51+00:00\" \/>\n<meta name=\"author\" content=\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u041f\u0440\u0438\u0431\u043b. \u0447\u0430\u0441 \u0447\u0438\u0442\u0430\u043d\u043d\u044f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u0445\u0432\u0438\u043b\u0438\u043d\u0430\" \/>\n<script type=\"application\/ld+json\" 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