{"id":3067,"date":"2023-07-19T08:54:27","date_gmt":"2023-07-19T08:54:27","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d1%81%d1%82%d0%be%d0%b2%d0%bf%d0%b5%d1%86%d1%8c-%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b4%d0%bb%d1%8f-%d1%81%d0%bf%d0%b8%d1%81%d0%ba%d1%83\/"},"modified":"2023-07-19T08:54:27","modified_gmt":"2023-07-19T08:54:27","slug":"%d1%81%d1%82%d0%be%d0%b2%d0%bf%d0%b5%d1%86%d1%8c-%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b4%d0%bb%d1%8f-%d1%81%d0%bf%d0%b8%d1%81%d0%ba%d1%83","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d1%81%d1%82%d0%be%d0%b2%d0%bf%d0%b5%d1%86%d1%8c-%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b4%d0%bb%d1%8f-%d1%81%d0%bf%d0%b8%d1%81%d0%ba%d1%83\/","title":{"rendered":"Pandas: \u044f\u043a \u0448\u0432\u0438\u0434\u043a\u043e \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u043d\u0430 \u0441\u043f\u0438\u0441\u043e\u043a"},"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\u0430\u0442\u0438 \u043e\u0434\u0438\u043d \u0456\u0437 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0445 \u043d\u0438\u0436\u0447\u0435 \u043c\u0435\u0442\u043e\u0434\u0456\u0432, \u0449\u043e\u0431 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c pandas DataFrame \u043d\u0430 \u0441\u043f\u0438\u0441\u043e\u043a:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 1: \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 tolist()<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">my_column<\/span> ']. <span style=\"color: #3366ff;\">tolist<\/span> ()<\/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 list()<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b>list(df[' <span style=\"color: #ff0000;\">my_column<\/span> '])<\/b><\/pre>\n<p> <span style=\"color: #000000;\">\u041e\u0431\u0438\u0434\u0432\u0430 \u043c\u0435\u0442\u043e\u0434\u0438 \u043f\u043e\u0432\u0435\u0440\u043d\u0443\u0442\u044c \u0442\u043e\u0439 \u0441\u0430\u043c\u0438\u0439 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0445 \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 \u0456\u0437 \u0446\u0438\u0445 \u043c\u0435\u0442\u043e\u0434\u0456\u0432 \u0456\u0437 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u043c\u0438 pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<\/span><\/span>\n<span style=\"color: #008080;\">#createDataFrame\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'A', 'A', 'B', 'B', 'B'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [99, 90, 93, 86, 88, 82],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [33, 28, 31, 39, 34, 30]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists\n0 to 99 33\n1 A 90 28\n2 A 93 31\n3 B 86 39\n4 B 88 34\n5 B 82 30<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 1: \u041f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u043d\u0430 \u0441\u043f\u0438\u0441\u043e\u043a \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e tolist()<\/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\u044e <strong>tolist()<\/strong> \u0434\u043b\u044f \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u00abpoints\u00bb DataFrame \u043d\u0430 \u0441\u043f\u0438\u0441\u043e\u043a:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#convert column to list\n<\/span>my_list = df[' <span style=\"color: #ff0000;\">points<\/span> ']. <span style=\"color: #3366ff;\">tolist<\/span> ()\n\n<span style=\"color: #008080;\">#view list\n<\/span><span style=\"color: #008000;\">print<\/span> (my_list)\n\n[99, 90, 93, 86, 88, 82]<\/strong>\n<\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u043f\u0456\u0434\u0442\u0432\u0435\u0440\u0434\u0438\u0442\u0438, \u0449\u043e \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u043c \u0454 \u0441\u043f\u0438\u0441\u043e\u043a \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 <strong>type()<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#check datatype\n<\/span><span style=\"color: #008000;\">type<\/span> (my_list)\n\nlist\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 2: \u041f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u043d\u0430 \u0441\u043f\u0438\u0441\u043e\u043a \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e list()<\/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\u044e <strong>list()<\/strong> \u0434\u043b\u044f \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u00abpoints\u00bb DataFrame \u043d\u0430 \u0441\u043f\u0438\u0441\u043e\u043a:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#convert column to list\n<\/span>my_list = list(df[' <span style=\"color: #ff0000;\">points<\/span> '])\n<span style=\"color: #008080;\">#view list\n<\/span><span style=\"color: #008000;\">print<\/span> (my_list)\n\n[99, 90, 93, 86, 88, 82]<\/strong>\n<\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u043f\u0456\u0434\u0442\u0432\u0435\u0440\u0434\u0438\u0442\u0438, \u0449\u043e \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u043c \u0454 \u0441\u043f\u0438\u0441\u043e\u043a \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 <strong>type()<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#check data type\n<\/span><span style=\"color: #008000;\">type<\/span> (my_list)\n\nlist<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0417\u0430\u0443\u0432\u0430\u0436\u0442\u0435, \u0449\u043e \u043e\u0431\u0438\u0434\u0432\u0430 \u043c\u0435\u0442\u043e\u0434\u0438 \u043f\u043e\u0432\u0435\u0440\u0442\u0430\u044e\u0442\u044c \u0430\u0431\u0441\u043e\u043b\u044e\u0442\u043d\u043e \u043e\u0434\u043d\u0430\u043a\u043e\u0432\u0456 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0438.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u0430\u0443\u0432\u0430\u0436\u0442\u0435, \u0449\u043e \u0434\u043b\u044f \u043d\u0430\u0434\u0437\u0432\u0438\u0447\u0430\u0439\u043d\u043e \u0432\u0435\u043b\u0438\u043a\u0438\u0445 DataFrames \u043c\u0435\u0442\u043e\u0434 <strong>tolist()<\/strong> \u043c\u0430\u0454 \u0442\u0435\u043d\u0434\u0435\u043d\u0446\u0456\u044e \u0431\u0443\u0442\u0438 \u043d\u0430\u0439\u0448\u0432\u0438\u0434\u0448\u0438\u043c.<\/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 \u043f\u043e\u0448\u0438\u0440\u0435\u043d\u0456 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 \u0437\u0456 \u0441\u0442\u043e\u0432\u043f\u0446\u044f\u043c\u0438 pandas DataFrame:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u0434\u0456\u043d\u043d\u044f-\u043a\u043e\u043b\u043e\u043d\u043a\u0438-\u043f\u0430\u043d\u0434\u0438\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u0432 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/pandas-\u0432\u0438\u043a\u043b\u044e\u0447\u0438\u0442\u0438-\u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0438\u043a\u043b\u044e\u0447\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u0432 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e \u0434\u043e \u0432\u0438\u0431\u0440\u0430\u043d\u0438\u0445 \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432 \u0443 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0437\u043c\u0456\u043d\u044e\u044e\u0442\u044c-\u043f\u043e\u0440\u044f\u0434\u043e\u043a-\u043a\u043e\u043b\u043e\u043d\u043e\u043a\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0437\u043c\u0456\u043d\u0438\u0442\u0438 \u043f\u043e\u0440\u044f\u0434\u043e\u043a \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432 \u0443 Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u043e\u0434\u0438\u043d \u0456\u0437 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0445 \u043d\u0438\u0436\u0447\u0435 \u043c\u0435\u0442\u043e\u0434\u0456\u0432, \u0449\u043e\u0431 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c pandas DataFrame \u043d\u0430 \u0441\u043f\u0438\u0441\u043e\u043a: \u0421\u043f\u043e\u0441\u0456\u0431 1: \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 tolist() df[&#8216; my_column &#8216;]. tolist () \u0421\u043f\u043e\u0441\u0456\u0431 2: \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 list() list(df[&#8216; my_column &#8216;]) \u041e\u0431\u0438\u0434\u0432\u0430 \u043c\u0435\u0442\u043e\u0434\u0438 \u043f\u043e\u0432\u0435\u0440\u043d\u0443\u0442\u044c \u0442\u043e\u0439 \u0441\u0430\u043c\u0438\u0439 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442. \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0445 \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 \u0456\u0437 \u0446\u0438\u0445 \u043c\u0435\u0442\u043e\u0434\u0456\u0432 \u0456\u0437 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u043c\u0438 pandas DataFrame: 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":[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 \u0448\u0432\u0438\u0434\u043a\u043e \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u043d\u0430 \u0441\u043f\u0438\u0441\u043e\u043a \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 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c pandas DataFrame \u043d\u0430 \u0441\u043f\u0438\u0441\u043e\u043a, \u0456\u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\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\/\u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c-\u043f\u0430\u043d\u0434\u0438-\u0434\u043b\u044f-\u0441\u043f\u0438\u0441\u043a\u0443\/\" 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