{"id":3434,"date":"2023-07-17T12:10:17","date_gmt":"2023-07-17T12:10:17","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d0%bf%d1%80%d0%be%d1%82%d0%b8%d0%b2-%d0%bf%d1%80%d0%b8%d1%81%d0%be%d0%b5%d0%b4%d0%b8%d0%bd%d0%b5%d0%bd%d0%b8%d1%8f\/"},"modified":"2023-07-17T12:10:17","modified_gmt":"2023-07-17T12:10:17","slug":"%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d0%bf%d1%80%d0%be%d1%82%d0%b8%d0%b2-%d0%bf%d1%80%d0%b8%d1%81%d0%be%d0%b5%d0%b4%d0%b8%d0%bd%d0%b5%d0%bd%d0%b8%d1%8f","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d0%bf%d1%80%d0%be%d1%82%d0%b8%d0%b2-%d0%bf%d1%80%d0%b8%d1%81%d0%be%d0%b5%d0%b4%d0%b8%d0%bd%d0%b5%d0%bd%d0%b8%d1%8f\/","title":{"rendered":"\u041a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0430\u043d\u0442\u0438-\u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0435 \u0432 pandas"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u0410\u043d\u0442\u0438\u043e\u0431\u044a\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0435<\/strong> \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0432\u0435\u0440\u043d\u0443\u0442\u044c \u0432\u0441\u0435 \u0441\u0442\u0440\u043e\u043a\u0438 \u0432 \u043e\u0434\u043d\u043e\u043c \u043d\u0430\u0431\u043e\u0440\u0435 \u0434\u0430\u043d\u043d\u044b\u0445, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043d\u0435 \u0438\u043c\u0435\u044e\u0442 \u0441\u043e\u0432\u043f\u0430\u0434\u0430\u044e\u0449\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0432 \u0434\u0440\u0443\u0433\u043e\u043c \u043d\u0430\u0431\u043e\u0440\u0435 \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \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 \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0430\u043d\u0442\u0438-\u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u044f \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u043a\u0430\u0434\u0440\u0430\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 pandas:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>outer = df1. <span style=\"color: #3366ff;\">merge<\/span> (df2, how=' <span style=\"color: #ff0000;\">outer<\/span> ', indicator= <span style=\"color: #008000;\">True<\/span> )\n\nanti_join = outer[(outer._merge==' <span style=\"color: #ff0000;\">left_only<\/span> ')]. <span style=\"color: #3366ff;\">drop<\/span> (' <span style=\"color: #ff0000;\">_merge<\/span> ', axis= <span style=\"color: #008000;\">1<\/span> )\n<\/strong><\/pre>\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 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u043e\u0442 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440: \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435 \u0430\u043d\u0442\u0438-\u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u044f \u0432 Pandas<\/strong><\/span><\/h2>\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\u0435 \u0434\u0432\u0430 \u043a\u0430\u0434\u0440\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 panda:<\/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;\">#create first DataFrame\n<\/span>df1 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'D', 'E'],\n                    ' <span style=\"color: #ff0000;\">points<\/span> ': [18, 22, 19, 14, 30]})\n\n<span style=\"color: #008000;\">print<\/span> (df1)\n\n  team points\n0 to 18\n1 B 22\n2 C 19\n3 D 14\n4 E 30\n\n<span style=\"color: #008080;\">#create second DataFrame\n<\/span>df2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'F', 'G'],\n                    ' <span style=\"color: #ff0000;\">points<\/span> ': [18, 22, 19, 22, 29]})\n\n<span style=\"color: #008000;\">print<\/span> (df2)\n\n  team points\n0 to 18\n1 B 22\n2 C 19\n3 F 22\n4 G 29\n<\/strong><\/span><\/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, \u0447\u0442\u043e\u0431\u044b \u0432\u0435\u0440\u043d\u0443\u0442\u044c \u0432\u0441\u0435 \u0441\u0442\u0440\u043e\u043a\u0438 \u0438\u0437 \u043f\u0435\u0440\u0432\u043e\u0433\u043e DataFrame, \u0443 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u043d\u0435\u0442 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u0439 \u043a\u043e\u043c\u0430\u043d\u0434\u044b \u0432\u043e \u0432\u0442\u043e\u0440\u043e\u043c DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#perform outer join<\/span>\nouter = df1. <span style=\"color: #3366ff;\">merge<\/span> (df2, how=' <span style=\"color: #ff0000;\">outer<\/span> ', indicator= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#perform anti-join\n<\/span>anti_join = outer[(outer._merge==' <span style=\"color: #ff0000;\">left_only<\/span> ')]. <span style=\"color: #3366ff;\">drop<\/span> (' <span style=\"color: #ff0000;\">_merge<\/span> ', axis= <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#view results\n<\/span><span style=\"color: #008000;\">print<\/span> (anti_join)\n\n  team points\n3 D 14\n4 E 30<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u0432\u0438\u0434\u0438\u043c, \u0447\u0442\u043e \u0435\u0441\u0442\u044c \u0440\u043e\u0432\u043d\u043e \u0434\u0432\u0435 \u043a\u043e\u043c\u0430\u043d\u0434\u044b \u0438\u0437 \u043f\u0435\u0440\u0432\u043e\u0433\u043e DataFrame, \u0443 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u043d\u0435\u0442 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u0433\u043e \u0438\u043c\u0435\u043d\u0438 \u043a\u043e\u043c\u0430\u043d\u0434\u044b \u0432\u043e \u0432\u0442\u043e\u0440\u043e\u043c DataFrame.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0410\u043d\u0442\u0438-\u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0435 \u0441\u0440\u0430\u0431\u043e\u0442\u0430\u043b\u043e, \u043a\u0430\u043a \u0438 \u043e\u0436\u0438\u0434\u0430\u043b\u043e\u0441\u044c.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041a\u043e\u043d\u0435\u0447\u043d\u044b\u043c \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u043c \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f DataFrame, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0442\u043e\u043b\u044c\u043a\u043e \u0442\u0435 \u0441\u0442\u0440\u043e\u043a\u0438, \u0432 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0438\u043c\u044f \u043a\u043e\u043c\u0430\u043d\u0434\u044b \u043f\u0440\u0438\u043d\u0430\u0434\u043b\u0435\u0436\u0438\u0442 \u043f\u0435\u0440\u0432\u043e\u043c\u0443 DataFrame, \u043d\u043e \u043d\u0435 \u0432\u0442\u043e\u0440\u043e\u043c\u0443 DataFrame.<\/span><\/p>\n<h2> <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><\/h2>\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 \u0437\u0430\u0434\u0430\u0447\u0438 \u0432 pandas:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ru\/\u043f\u0430\u043d\u0434\u044b-\u0432\u043d\u0443\u0442\u0440\u0435\u043d\u043d\u0438\u0435-\u0443\u043f\u043b\u043e\u0442\u043d\u0435\u043d\u0438\u044f\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0432\u043d\u0443\u0442\u0440\u0435\u043d\u043d\u0435\u0435 \u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0435 \u0432 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043e\u0441\u0442\u0430\u043b\u043e\u0441\u044c-\u043f\u0440\u0438\u0441\u043e\u0435\u0434\u0438\u043d\u0438\u0442\u044c\u0441\u044f-\u043a-\u043f\u0430\u043d\u0434\u0430\u043c\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u043b\u0435\u0432\u043e\u0435 \u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0435 \u0432 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043a\u0440\u0435\u0441\u0442-\u043f\u0430\u043d\u0434\u044b\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u043f\u0435\u0440\u0435\u043a\u0440\u0435\u0441\u0442\u043d\u043e\u0435 \u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0435 \u0432 Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0410\u043d\u0442\u0438\u043e\u0431\u044a\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0435 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0432\u0435\u0440\u043d\u0443\u0442\u044c \u0432\u0441\u0435 \u0441\u0442\u0440\u043e\u043a\u0438 \u0432 \u043e\u0434\u043d\u043e\u043c \u043d\u0430\u0431\u043e\u0440\u0435 \u0434\u0430\u043d\u043d\u044b\u0445, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043d\u0435 \u0438\u043c\u0435\u044e\u0442 \u0441\u043e\u0432\u043f\u0430\u0434\u0430\u044e\u0449\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0432 \u0434\u0440\u0443\u0433\u043e\u043c \u043d\u0430\u0431\u043e\u0440\u0435 \u0434\u0430\u043d\u043d\u044b\u0445. \u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \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 \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0430\u043d\u0442\u0438-\u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u044f \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u043a\u0430\u0434\u0440\u0430\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 pandas: outer = df1. merge (df2, how=&#8217; outer &#8216;, indicator= True ) anti_join = outer[(outer._merge==&#8217; left_only &#8216;)]. drop (&#8216; _merge &#8216;, axis= 1 ) \u0412 [&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-3434","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>\u041a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0430\u043d\u0442\u0438-\u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0435 \u0432 Pandas \u2013 \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b<\/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 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0430\u043d\u0442\u0438-\u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0435 \u0432 pandas, \u043d\u0430 \u043f\u0440\u0438\u043c\u0435\u0440\u0435.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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