{"id":3850,"date":"2023-07-15T04:10:31","date_gmt":"2023-07-15T04:10:31","guid":{"rendered":"https:\/\/statorials.org\/uk\/panda-%d0%b2%d0%b8%d0%b4%d0%b0%d0%bb%d1%8f%d1%94-%d1%81%d1%82%d0%be%d0%b2%d0%bf%d1%86%d1%96-%d1%8f%d0%ba%d0%b8%d1%85-%d0%bd%d0%b5%d0%bc%d0%b0%d1%94-%d0%b2-%d1%81%d0%bf%d0%b8%d1%81%d0%ba%d1%83\/"},"modified":"2023-07-15T04:10:31","modified_gmt":"2023-07-15T04:10:31","slug":"panda-%d0%b2%d0%b8%d0%b4%d0%b0%d0%bb%d1%8f%d1%94-%d1%81%d1%82%d0%be%d0%b2%d0%bf%d1%86%d1%96-%d1%8f%d0%ba%d0%b8%d1%85-%d0%bd%d0%b5%d0%bc%d0%b0%d1%94-%d0%b2-%d1%81%d0%bf%d0%b8%d1%81%d0%ba%d1%83","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/panda-%d0%b2%d0%b8%d0%b4%d0%b0%d0%bb%d1%8f%d1%94-%d1%81%d1%82%d0%be%d0%b2%d0%bf%d1%86%d1%96-%d1%8f%d0%ba%d0%b8%d1%85-%d0%bd%d0%b5%d0%bc%d0%b0%d1%94-%d0%b2-%d1%81%d0%bf%d0%b8%d1%81%d0%ba%d1%83\/","title":{"rendered":"Pandas: \u044f\u043a \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u0456, \u044f\u043a\u0438\u0445 \u043d\u0435\u043c\u0430\u0454 \u0432 \u0441\u043f\u0438\u0441\u043a\u0443"},"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\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u0437 pandas DataFrame, \u044f\u043a\u0438\u0445 \u043d\u0435\u043c\u0430\u0454 \u0432 \u043f\u0435\u0432\u043d\u043e\u043c\u0443 \u0441\u043f\u0438\u0441\u043a\u0443:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define columns to keep\n<\/span>keep_cols = [' <span style=\"color: #ff0000;\">col1<\/span> ', ' <span style=\"color: #ff0000;\">col2<\/span> ', ' <span style=\"color: #ff0000;\">col3<\/span> ']\n\n<span style=\"color: #008080;\">#create new dataframe by dropping columns not in list\n<\/span>new_df = df[df. <span style=\"color: #3366ff;\">columns<\/span> . <span style=\"color: #3366ff;\">intersection<\/span> (keep_cols)]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0423 \u0446\u044c\u043e\u043c\u0443 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u0431\u0443\u0434\u0435 \u0432\u0438\u0434\u0430\u043b\u0435\u043d\u043e \u0431\u0443\u0434\u044c-\u044f\u043a\u0456 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u0437 DataFrame, \u044f\u043a\u0456 \u043d\u0435 \u0434\u043e\u0440\u0456\u0432\u043d\u044e\u044e\u0442\u044c <strong>col1<\/strong> , <strong>col2<\/strong> \u0430\u0431\u043e <strong>col3<\/strong> .<\/span><\/p>\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\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434: \u0432\u0438\u0434\u0430\u043b\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432, \u044f\u043a\u0438\u0445 \u043d\u0435\u043c\u0430\u0454 \u0432 \u0441\u043f\u0438\u0441\u043a\u0443 \u0432 Pandas<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041f\u0440\u0438\u043f\u0443\u0441\u0442\u0456\u043c\u043e, \u0449\u043e \u0443 \u043d\u0430\u0441 \u0454 \u0442\u0430\u043a\u0438\u0439 \u0444\u0440\u0435\u0439\u043c \u0434\u0430\u043d\u0438\u0445 pandas, \u044f\u043a\u0438\u0439 \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0456\u044e \u043f\u0440\u043e \u0440\u0456\u0437\u043d\u0438\u0445 \u0431\u0430\u0441\u043a\u0435\u0442\u0431\u043e\u043b\u0456\u0441\u0442\u0456\u0432:<\/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', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12],\n                   ' <span style=\"color: #ff0000;\">steals<\/span> ': [4, 4, 10, 12, 8, 5, 5, 2]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists rebounds steals\n0 A 18 5 11 4\n1 B 22 7 8 4\n2 C 19 7 10 10\n3 D 14 9 6 12\n4 E 14 12 6 8\n5 F 11 9 5 5\n6 G 20 9 9 5\n7:28 4 12 2<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0422\u0435\u043f\u0435\u0440 \u043f\u0440\u0438\u043f\u0443\u0441\u0442\u0456\u043c\u043e, \u0449\u043e \u043c\u0438 \u0445\u043e\u0447\u0435\u043c\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043d\u043e\u0432\u0438\u0439 DataFrame, \u044f\u043a\u0438\u0439 \u0432\u0438\u0434\u0430\u043b\u044f\u0454 \u0432\u0441\u0456 \u0441\u0442\u043e\u0432\u043f\u0446\u0456, \u044f\u043a\u0438\u0445 \u043d\u0435\u043c\u0430\u0454 \u0432 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u0441\u043f\u0438\u0441\u043a\u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432: <strong>team<\/strong> , <strong>points<\/strong> \u0456 <strong>Steles<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0414\u043b\u044f \u0446\u044c\u043e\u0433\u043e \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;\">#define columns to keep\n<\/span>keep_cols = [' <span style=\"color: #ff0000;\">team<\/span> ', ' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">steals<\/span> ']\n\n<span style=\"color: #008080;\">#create new dataframe by dropping columns not in list\n<\/span>new_df = df[df. <span style=\"color: #3366ff;\">columns<\/span> . <span style=\"color: #3366ff;\">intersection<\/span> (keep_cols)]\n\n<span style=\"color: #008080;\">#view new dataframe\n<\/span><span style=\"color: #008000;\">print<\/span> (new_df)\n\n  team points steals\n0 to 18 4\n1 B 22 4\n2 C 19 10\n3 D 14 12\n4 E 14 8\n5 F 11 5\n6 G 20 5\n7:28 a.m. 2\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0417\u0430\u0443\u0432\u0430\u0436\u0442\u0435, \u0449\u043e \u0432\u0441\u0456 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u0432\u0438\u0445\u0456\u0434\u043d\u043e\u0433\u043e DataFrame, \u044f\u043a\u0438\u0445 \u043d\u0435\u043c\u0430\u0454 \u0443 \u0441\u043f\u0438\u0441\u043a\u0443 <strong>keep_cols<\/strong> , \u0431\u0443\u043b\u043e \u0432\u0438\u0434\u0430\u043b\u0435\u043d\u043e \u0437 \u043d\u043e\u0432\u043e\u0433\u043e DataFrame.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h2>\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 \u043f\u043e\u0448\u0438\u0440\u0435\u043d\u0456 \u0437\u0430\u0432\u0434\u0430\u043d\u043d\u044f \u043f\u0430\u043d\u0434\u0438:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0441\u043a\u0438\u0434\u0430\u044e\u0442\u044c-\u043f\u0435\u0440\u0448\u0438\u0438-\u0440\u044f\u0434\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043f\u0440\u0438\u0431\u0440\u0430\u0442\u0438 \u043f\u0435\u0440\u0448\u0438\u0439 \u0440\u044f\u0434\u043e\u043a \u0432 pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0441\u043a\u0438\u0434\u0430\u044e\u0442\u044c-\u043f\u0435\u0440\u0448\u0438\u0438-\u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u043f\u0435\u0440\u0448\u0438\u0439 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0443 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0441\u043a\u0438\u0434\u0430\u044e\u0442\u044c-\u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0456-\u0441\u0442\u043e\u0432\u043f\u0446\u0456\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u0434\u0443\u0431\u043b\u0456\u043a\u0430\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432 \u0443 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0432\u0438\u0434\u0430\u043b\u044f\u044e\u0442\u044c-\u0443\u0441\u0456-\u0441\u0442\u043e\u0432\u043f\u0446\u0456,-\u043a\u0440\u0456\u043c\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u0432\u0441\u0456 \u0441\u0442\u043e\u0432\u043f\u0446\u0456, \u043a\u0440\u0456\u043c \u0434\u0435\u044f\u043a\u0438\u0445, \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\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u0437 pandas DataFrame, \u044f\u043a\u0438\u0445 \u043d\u0435\u043c\u0430\u0454 \u0432 \u043f\u0435\u0432\u043d\u043e\u043c\u0443 \u0441\u043f\u0438\u0441\u043a\u0443: #define columns to keep keep_cols = [&#8216; col1 &#8216;, &#8216; col2 &#8216;, &#8216; col3 &#8216;] #create new dataframe by dropping columns not in list new_df = df[df. columns . intersection (keep_cols)] \u0423 \u0446\u044c\u043e\u043c\u0443 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u0431\u0443\u0434\u0435 \u0432\u0438\u0434\u0430\u043b\u0435\u043d\u043e \u0431\u0443\u0434\u044c-\u044f\u043a\u0456 [&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 \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u0456, \u044f\u043a\u0438\u0445 \u043d\u0435\u043c\u0430\u0454 \u0432 \u0441\u043f\u0438\u0441\u043a\u0443 \u2013 Statorials<\/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 \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u0443 pandas DataFrame, \u044f\u043a\u0438\u0445 \u043d\u0435\u043c\u0430\u0454 \u0432 \u043f\u0435\u0432\u043d\u043e\u043c\u0443 \u0441\u043f\u0438\u0441\u043a\u0443, \u0456\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u043e\u043c.\" \/>\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\/panda-\u0432\u0438\u0434\u0430\u043b\u044f\u0454-\u0441\u0442\u043e\u0432\u043f\u0446\u0456-\u044f\u043a\u0438\u0445-\u043d\u0435\u043c\u0430\u0454-\u0432-\u0441\u043f\u0438\u0441\u043a\u0443\/\" \/>\n<meta property=\"og:locale\" content=\"uk_UA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: \u042f\u043a \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u0456, \u044f\u043a\u0438\u0445 \u043d\u0435\u043c\u0430\u0454 \u0432 \u0441\u043f\u0438\u0441\u043a\u0443 \u2013 Statorials\" \/>\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 \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u0443 pandas DataFrame, \u044f\u043a\u0438\u0445 \u043d\u0435\u043c\u0430\u0454 \u0432 \u043f\u0435\u0432\u043d\u043e\u043c\u0443 \u0441\u043f\u0438\u0441\u043a\u0443, \u0456\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u043e\u043c.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/uk\/panda-\u0432\u0438\u0434\u0430\u043b\u044f\u0454-\u0441\u0442\u043e\u0432\u043f\u0446\u0456-\u044f\u043a\u0438\u0445-\u043d\u0435\u043c\u0430\u0454-\u0432-\u0441\u043f\u0438\u0441\u043a\u0443\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-15T04:10:31+00:00\" \/>\n<meta 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