{"id":3122,"date":"2023-07-19T02:40:19","date_gmt":"2023-07-19T02:40:19","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%b8%d0%bc%d0%b5%d0%bd%d0%b0-%d1%81%d1%82%d0%be%d0%bb%d0%b1%d1%86%d0%be%d0%b2-%d1%81%d0%b2%d0%be%d0%b4%d0%bd%d0%be%d0%b8-%d1%82%d0%b0%d0%b1%d0%bb%d0%b8%d1%86%d1%8b-pandas\/"},"modified":"2023-07-19T02:40:19","modified_gmt":"2023-07-19T02:40:19","slug":"%d0%b8%d0%bc%d0%b5%d0%bd%d0%b0-%d1%81%d1%82%d0%be%d0%bb%d0%b1%d1%86%d0%be%d0%b2-%d1%81%d0%b2%d0%be%d0%b4%d0%bd%d0%be%d0%b8-%d1%82%d0%b0%d0%b1%d0%bb%d0%b8%d1%86%d1%8b-pandas","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%b8%d0%bc%d0%b5%d0%bd%d0%b0-%d1%81%d1%82%d0%be%d0%bb%d0%b1%d1%86%d0%be%d0%b2-%d1%81%d0%b2%d0%be%d0%b4%d0%bd%d0%be%d0%b8-%d1%82%d0%b0%d0%b1%d0%bb%d0%b8%d1%86%d1%8b-pandas\/","title":{"rendered":"Pandas: \u043a\u0430\u043a \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u0438\u043c\u0435\u043d\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0432 \u0441\u0432\u043e\u0434\u043d\u043e\u0439 \u0442\u0430\u0431\u043b\u0438\u0446\u0435"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0427\u0430\u0441\u0442\u043e \u0432\u0430\u043c \u043c\u043e\u0436\u0435\u0442 \u043f\u043e\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u0438\u043b\u0438 \u043e\u0442\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0438\u043c\u0435\u043d\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0432 \u0441\u0432\u043e\u0434\u043d\u043e\u0439 \u0442\u0430\u0431\u043b\u0438\u0446\u0435 pandas.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041a \u0441\u0447\u0430\u0441\u0442\u044c\u044e, \u044d\u0442\u043e \u043b\u0435\u0433\u043a\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0432\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u044b\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 pandas.<\/span><\/p>\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 \u044d\u0442\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440: \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u0438\u043c\u0435\u043d\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0432 \u0441\u0432\u043e\u0434\u043d\u043e\u0439 \u0442\u0430\u0431\u043b\u0438\u0446\u0435 Pandas<\/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, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043e \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0431\u0430\u0441\u043a\u0435\u0442\u0431\u043e\u043b\u0438\u0441\u0442\u0430\u0445:<\/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>df = 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;\">position<\/span> ': ['G', 'G', 'F', 'C', 'G', 'C', 'F', 'F'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [4, 4, 6, 8, 9, 5, 5, 12]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n\tteam position points\n0 A G 4\n1 A G 4\n2 A F 6\n3 A C 8\n4 B G 9\n5 B C 5\n6 B F 5\n7 B F 12<\/strong><\/pre>\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 \u043a\u043e\u0434 \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u0441\u0432\u043e\u0434\u043d\u043e\u0439 \u0442\u0430\u0431\u043b\u0438\u0446\u044b \u0432 pandas, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u0441\u0440\u0435\u0434\u043d\u0435\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 <strong>\u0431\u0430\u043b\u043b\u043e\u0432<\/strong> \u0434\u043b\u044f \u043a\u0430\u0436\u0434\u043e\u0439 <strong>\u043a\u043e\u043c\u0430\u043d\u0434\u044b<\/strong> \u0438 <strong>\u043f\u043e\u0437\u0438\u0446\u0438\u0438<\/strong> \u0432 DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create pivot table\n<span style=\"color: #000000;\">piv = pd. <span style=\"color: #3366ff;\">pivot_table<\/span> (df, values=' <span style=\"color: #ff0000;\">points<\/span> ', index=' <span style=\"color: #ff0000;\">team<\/span> ', columns=' <span style=\"color: #ff0000;\">position<\/span> ')\n\n<span style=\"color: #008080;\">#view pivot table\n<\/span><span style=\"color: #008000;\">print<\/span> (piv)\n\nCFG position\nteam                   \nA 8.0 6.0 4.0\nB 5.0 8.5 9.0<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0422\u0435\u043f\u0435\u0440\u044c \u043f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0447\u0442\u043e \u043c\u044b \u0445\u043e\u0442\u0438\u043c \u0443\u0434\u0430\u043b\u0438\u0442\u044c <strong>\u043f\u043e\u0437\u0438\u0446\u0438\u044e<\/strong> \u0441\u043b\u043e\u0432\u0430 \u0432 \u0441\u0432\u043e\u0434\u043d\u043e\u0439 \u0442\u0430\u0431\u043b\u0438\u0446\u0435 \u0438 \u0443\u0434\u0430\u043b\u0438\u0442\u044c \u043b\u0438\u0448\u043d\u044e\u044e \u0441\u0442\u0440\u043e\u043a\u0443 <strong>\u043a\u043e\u043c\u0430\u043d\u0434\u044b<\/strong> \u0438\u0437 \u0441\u0432\u043e\u0434\u043d\u043e\u0439 \u0442\u0430\u0431\u043b\u0438\u0446\u044b.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0414\u043b\u044f \u044d\u0442\u043e\u0433\u043e \u043c\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 \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;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#format column names\n<\/span>iv. <span style=\"color: #3366ff;\">columns<\/span> = ['_'. <span style=\"color: #3366ff;\">join<\/span> (str(s). <span style=\"color: #3366ff;\">strip<\/span> () <span style=\"color: #008000;\">for<\/span> s <span style=\"color: #008000;\">in<\/span> col <span style=\"color: #008000;\">if<\/span> s) <span style=\"color: #008000;\">for<\/span> col <span style=\"color: #008000;\">in<\/span> piv. <span style=\"color: #3366ff;\">columns<\/span> ]\n\n<span style=\"color: #008080;\">#reset indexes\n<\/span>iv. <span style=\"color: #3366ff;\">reset_index<\/span> (inplace= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#view updated pivot table\n<\/span><span style=\"color: #008000;\">print<\/span> (piv)\n\n  team CFG\n0 A 8.0 6.0 4.0\n1 B 5.0 8.5 9.0\n<\/span><\/span><\/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 \u043d\u0430\u043c \u0443\u0434\u0430\u043b\u043e\u0441\u044c \u0443\u0434\u0430\u043b\u0438\u0442\u044c <strong>\u043f\u043e\u0437\u0438\u0446\u0438\u044e<\/strong> \u0441\u043b\u043e\u0432\u0430 \u0432 \u0441\u0432\u043e\u0434\u043d\u043e\u0439 \u0442\u0430\u0431\u043b\u0438\u0446\u0435 \u0438 \u0443\u0434\u0430\u043b\u0438\u0442\u044c \u043b\u0438\u0448\u043d\u044e\u044e \u0441\u0442\u0440\u043e\u043a\u0443 <strong>\u043a\u043e\u043c\u0430\u043d\u0434\u044b<\/strong> \u0438\u0437 \u0441\u0432\u043e\u0434\u043d\u043e\u0439 \u0442\u0430\u0431\u043b\u0438\u0446\u044b.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0422\u0430\u043a\u0436\u0435 \u043e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u044d\u0442\u043e \u043e\u0431\u0449\u0435\u0435 \u0440\u0435\u0448\u0435\u043d\u0438\u0435 \u0442\u0430\u043a\u0436\u0435 \u0431\u0443\u0434\u0435\u0442 \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0434\u043b\u044f \u0441\u0432\u043e\u0434\u043d\u043e\u0439 \u0442\u0430\u0431\u043b\u0438\u0446\u044b \u0441 MultiIndex.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0447\u0430\u043d\u0438\u0435<\/strong> . \u041f\u043e\u043b\u043d\u0443\u044e \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u044e \u043f\u043e \u0444\u0443\u043d\u043a\u0446\u0438\u0438 pandas <strong>Pivot_table()<\/strong> \u043c\u043e\u0436\u043d\u043e \u043d\u0430\u0439\u0442\u0438 <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.pivot_table.html\" target=\"_blank\" rel=\"noopener\">\u0437\u0434\u0435\u0441\u044c<\/a> .<\/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 pandas:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ru\/\u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e-\u0441\u0432\u043e\u0434\u043d\u044b\u0445-\u0442\u0430\u0431\u043b\u0438\u0446-pandas\/\" target=\"_blank\" rel=\"noopener\">Pandas: \u043a\u0430\u043a \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0441\u0432\u043e\u0434\u043d\u0443\u044e \u0442\u0430\u0431\u043b\u0438\u0446\u0443 \u0441 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e\u043c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u0441\u0432\u043e\u0434\u043d\u0430\u044f-\u0442\u0430\u0431\u043b\u0438\u0446\u0430-pandas-\u0437\u0430\u043c\u0435\u043d\u044f\u0435\u0442-nan-\u043d\u0430-0\/\" target=\"_blank\" rel=\"noopener\">Pandas: \u043a\u0430\u043a \u0437\u0430\u043c\u0435\u043d\u0438\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f NaN \u0432 \u0441\u0432\u043e\u0434\u043d\u043e\u0439 \u0442\u0430\u0431\u043b\u0438\u0446\u0435 \u043d\u0443\u043b\u044f\u043c\u0438<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u0441\u0432\u043e\u0434\u043d\u0430\u044f-\u0442\u0430\u0431\u043b\u0438\u0446\u0430-\u043f\u0430\u043d\u0434-\u0432-\u0444\u0440\u0435\u0438\u043c-\u0434\u0430\u043d\u043d\u044b\u0445\/\" target=\"_blank\" rel=\"noopener\">Pandas: \u043a\u0430\u043a \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u0432\u043e\u0434\u043d\u0443\u044e \u0442\u0430\u0431\u043b\u0438\u0446\u0443 \u0432 DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0427\u0430\u0441\u0442\u043e \u0432\u0430\u043c \u043c\u043e\u0436\u0435\u0442 \u043f\u043e\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u0438\u043b\u0438 \u043e\u0442\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0438\u043c\u0435\u043d\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0432 \u0441\u0432\u043e\u0434\u043d\u043e\u0439 \u0442\u0430\u0431\u043b\u0438\u0446\u0435 pandas. \u041a \u0441\u0447\u0430\u0441\u0442\u044c\u044e, \u044d\u0442\u043e \u043b\u0435\u0433\u043a\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0432\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u044b\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 pandas. \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 \u044d\u0442\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c. \u041f\u0440\u0438\u043c\u0435\u0440: \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u0438\u043c\u0435\u043d\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0432 \u0441\u0432\u043e\u0434\u043d\u043e\u0439 \u0442\u0430\u0431\u043b\u0438\u0446\u0435 Pandas \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, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043e \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0431\u0430\u0441\u043a\u0435\u0442\u0431\u043e\u043b\u0438\u0441\u0442\u0430\u0445: import pandas as pd [&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-3122","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>Pandas: \u043a\u0430\u043a \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u0438\u043c\u0435\u043d\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0432 \u0441\u0432\u043e\u0434\u043d\u043e\u0439 \u0442\u0430\u0431\u043b\u0438\u0446\u0435<\/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 \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c 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