{"id":2869,"date":"2023-07-20T07:55:51","date_gmt":"2023-07-20T07:55:51","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%b2%d1%8b-%d0%bf%d1%8b%d1%82%d0%b0%d0%b5%d1%82%d0%b5%d1%81%d1%8c-%d0%be%d0%b1%d1%8a%d0%b5%d0%b4%d0%b8%d0%bd%d0%b8%d1%82%d1%8c-%d1%81%d1%82%d0%be%d0%bb%d0%b1%d1%86%d1%8b-%d0%be%d0%b1%d1%8a%d0%b5\/"},"modified":"2023-07-20T07:55:51","modified_gmt":"2023-07-20T07:55:51","slug":"%d0%b2%d1%8b-%d0%bf%d1%8b%d1%82%d0%b0%d0%b5%d1%82%d0%b5%d1%81%d1%8c-%d0%be%d0%b1%d1%8a%d0%b5%d0%b4%d0%b8%d0%bd%d0%b8%d1%82%d1%8c-%d1%81%d1%82%d0%be%d0%bb%d0%b1%d1%86%d1%8b-%d0%be%d0%b1%d1%8a%d0%b5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%b2%d1%8b-%d0%bf%d1%8b%d1%82%d0%b0%d0%b5%d1%82%d0%b5%d1%81%d1%8c-%d0%be%d0%b1%d1%8a%d0%b5%d0%b4%d0%b8%d0%bd%d0%b8%d1%82%d1%8c-%d1%81%d1%82%d0%be%d0%bb%d0%b1%d1%86%d1%8b-%d0%be%d0%b1%d1%8a%d0%b5\/","title":{"rendered":"\u041a\u0430\u043a \u0438\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c: \u0432\u044b \u043f\u044b\u0442\u0430\u0435\u0442\u0435\u0441\u044c \u043e\u0431\u044a\u0435\u0434\u0438\u043d\u0438\u0442\u044c \u0441\u0442\u043e\u043b\u0431\u0446\u044b object \u0438 int64."},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u041e\u0448\u0438\u0431\u043a\u0430, \u0441 \u043a\u043e\u0442\u043e\u0440\u043e\u0439 \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0441\u0442\u043e\u043b\u043a\u043d\u0443\u0442\u044c\u0441\u044f \u043f\u0440\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438 \u043f\u0430\u043d\u0434:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #ff0000;\">ValueError<\/span> : You are trying to merge on int64 and object columns.\n            If you wish to proceed you should use pd.concat\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u042d\u0442\u0430 \u043e\u0448\u0438\u0431\u043a\u0430 \u0432\u043e\u0437\u043d\u0438\u043a\u0430\u0435\u0442, \u043a\u043e\u0433\u0434\u0430 \u0432\u044b \u043f\u044b\u0442\u0430\u0435\u0442\u0435\u0441\u044c \u043e\u0431\u044a\u0435\u0434\u0438\u043d\u0438\u0442\u044c \u0434\u0432\u0430 DataFrame pandas, \u043d\u043e \u0441\u0442\u043e\u043b\u0431\u0435\u0446, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0432\u044b \u043e\u0431\u044a\u0435\u0434\u0438\u043d\u044f\u0435\u0442\u0435, \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u043c \u0432 \u043e\u0434\u043d\u043e\u043c DataFrame \u0438 \u0446\u0435\u043b\u044b\u043c \u0447\u0438\u0441\u043b\u043e\u043c \u0432 \u0434\u0440\u0443\u0433\u043e\u043c DataFrame.<\/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 \u0438\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c \u044d\u0442\u0443 \u043e\u0448\u0438\u0431\u043a\u0443 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041a\u0430\u043a \u0432\u043e\u0441\u043f\u0440\u043e\u0438\u0437\u0432\u0435\u0441\u0442\u0438 \u043e\u0448\u0438\u0431\u043a\u0443<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0414\u043e\u043f\u0443\u0441\u0442\u0438\u043c, \u043c\u044b \u0441\u043e\u0437\u0434\u0430\u0435\u043c \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;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf1 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">year<\/span> ': [2015, 2016, 2017, 2018, 2019, 2020, 2021],\n                    ' <span style=\"color: #ff0000;\">sales<\/span> ': [500, 534, 564, 671, 700, 840, 810]})\n\ndf2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">year<\/span> ': ['2015', '2016', '2017', '2018', '2019', '2020', '2021'],\n                    ' <span style=\"color: #ff0000;\">refunds<\/span> ': [31, 36, 40, 40, 43, 70, 62]})\n\n<span style=\"color: #008080;\">#view DataFrames\n<\/span><span style=\"color: #008000;\">print<\/span> (df1)\n\n   year sales\n0 2015 500\n1 2016 534\n2 2017 564\n3 2018 671\n4 2019 700\n5,2020 840\n6 2021 810\n\n<span style=\"color: #008000;\">print<\/span> (df2)\n\n   year refunds\n0 2015 31\n1 2016 36\n2 2017 40\n3 2018 40\n4 2019 43\n5 2020 70\n6 2021 62<\/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 \u043f\u044b\u0442\u0430\u0435\u043c\u0441\u044f \u043e\u0431\u044a\u0435\u0434\u0438\u043d\u0438\u0442\u044c \u0434\u0432\u0430 DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#attempt to merge two DataFrames\n<\/span>big_df = df1. <span style=\"color: #3366ff;\">merge<\/span> (df2, on=' <span style=\"color: #ff0000;\">year<\/span> ', how=' <span style=\"color: #ff0000;\">left<\/span> ')\n\n<span style=\"color: #ff0000;\">ValueError<\/span> : You are trying to merge on int64 and object columns.\n            If you wish to proceed you should use pd.concat\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u043f\u043e\u043b\u0443\u0447\u0430\u0435\u043c <strong>ValueError<\/strong> , \u043f\u043e\u0441\u043a\u043e\u043b\u044c\u043a\u0443 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u0430\u044f <strong>\u0433\u043e\u0434\u0430<\/strong> \u0432 \u043f\u0435\u0440\u0432\u043e\u043c DataFrame \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0446\u0435\u043b\u044b\u043c \u0447\u0438\u0441\u043b\u043e\u043c, \u0430 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u0430\u044f <strong>\u0433\u043e\u0434\u0430<\/strong> \u0432\u043e \u0432\u0442\u043e\u0440\u043e\u043c DataFrame \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u043c.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041a\u0430\u043a \u0438\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c \u043e\u0448\u0438\u0431\u043a\u0443<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0421\u0430\u043c\u044b\u0439 \u043f\u0440\u043e\u0441\u0442\u043e\u0439 \u0441\u043f\u043e\u0441\u043e\u0431 \u0438\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c \u044d\u0442\u0443 \u043e\u0448\u0438\u0431\u043a\u0443 \u2014 \u043f\u0440\u043e\u0441\u0442\u043e \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u0443\u044e <strong>\u0433\u043e\u0434\u0430<\/strong> \u0432\u0442\u043e\u0440\u043e\u0433\u043e DataFrame \u0432 \u0446\u0435\u043b\u043e\u0435 \u0447\u0438\u0441\u043b\u043e, \u0430 \u0437\u0430\u0442\u0435\u043c \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0441\u043b\u0438\u044f\u043d\u0438\u0435.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u044d\u0442\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#convert year variable in df2 to integer\n<\/span>df2[' <span style=\"color: #ff0000;\">year<\/span> ']=df2[' <span style=\"color: #ff0000;\">year<\/span> ']. <span style=\"color: #3366ff;\">astype<\/span> (int)\n\n<span style=\"color: #008080;\">#merge two DataFrames\n<\/span>big_df = df1. <span style=\"color: #3366ff;\">merge<\/span> (df2, on=' <span style=\"color: #ff0000;\">year<\/span> ', how=' <span style=\"color: #ff0000;\">left<\/span> ')\n\n<span style=\"color: #008080;\">#view merged DataFrame\n<\/span>big_df\n\n\tyear sales refunds\n0 2015 500 31\n1 2016 534 36\n2 2017 564 40\n3 2018 671 40\n4 2019 700 43\n5 2020 840 70\n6 2021 810 62<\/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 \u043c\u044b \u043d\u0435 \u043f\u043e\u043b\u0443\u0447\u0430\u0435\u043c \u043d\u0438\u043a\u0430\u043a\u0438\u0445 <strong>ValueError<\/strong> \u0438 \u043d\u0430\u043c \u0443\u0434\u0430\u0435\u0442\u0441\u044f \u0443\u0441\u043f\u0435\u0448\u043d\u043e \u043e\u0431\u044a\u0435\u0434\u0438\u043d\u0438\u0442\u044c \u0434\u0432\u0430 DataFrame \u0432 \u043e\u0434\u0438\u043d.<\/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 \u0438\u0441\u043f\u0440\u0430\u0432\u0438\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\u0448\u0438\u0431\u043a\u0438 \u0432 Python:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ru\/\u0441\u0442\u043e\u043b\u0431\u0446\u044b-\u043f\u0435\u0440\u0435\u043a\u0440\u044b\u0432\u0430\u044e\u0442\u0441\u044f,-\u043d\u043e-\u0441\u0443\u0444\u0444\u0438\u043a\u0441-\u043d\u0435-\u0443\u043a\u0430\u0437\u0430\u043d\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0438\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c: \u0441\u0442\u043e\u043b\u0431\u0446\u044b \u043f\u0435\u0440\u0435\u043a\u0440\u044b\u0432\u0430\u044e\u0442\u0441\u044f, \u043d\u043e \u0441\u0443\u0444\u0444\u0438\u043a\u0441 \u043d\u0435 \u0443\u043a\u0430\u0437\u0430\u043d<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043e\u0431\u044a\u0435\u043a\u0442-numpy-ndarray-\u043d\u0435-\u0438\u043c\u0435\u0435\u0442-\u0434\u043e\u0431\u0430\u0432\u043b\u0435\u043d\u0438\u044f-\u0430\u0442\u0440\u0438\u0431\u0443\u0442\u0430\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0438\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c: \u043e\u0431\u044a\u0435\u043a\u0442 \u00abnumpy.ndarray\u00bb \u043d\u0435 \u0438\u043c\u0435\u0435\u0442 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u0430 \u00abappend\u00bb<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043e\u0448\u0438\u0431\u043a\u0430-\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f,-\u0435\u0441\u043b\u0438-\u043f\u0440\u0438-\u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438-\u0432\u0441\u0435\u0445-\u0441\u043a\u0430\u043b\u044f\u0440\u043d\u044b\u0445-\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0438-\u0432\u0430\u043c-\u043d\u0443\u0436\u043d\u043e-\u043f\u0435\u0440\u0435\u0434\u0430\u0442\u044c-\u0438\u043d\u0434\u0435\u043a\u0441\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0438\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c: \u0435\u0441\u043b\u0438 \u0432\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0435 \u0432\u0441\u0435 \u0441\u043a\u0430\u043b\u044f\u0440\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f, \u0432\u0430\u043c \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e \u043f\u0435\u0440\u0435\u0434\u0430\u0442\u044c \u0438\u043d\u0434\u0435\u043a\u0441.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u041e\u0448\u0438\u0431\u043a\u0430, \u0441 \u043a\u043e\u0442\u043e\u0440\u043e\u0439 \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0441\u0442\u043e\u043b\u043a\u043d\u0443\u0442\u044c\u0441\u044f \u043f\u0440\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438 \u043f\u0430\u043d\u0434: ValueError : You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat \u042d\u0442\u0430 \u043e\u0448\u0438\u0431\u043a\u0430 \u0432\u043e\u0437\u043d\u0438\u043a\u0430\u0435\u0442, \u043a\u043e\u0433\u0434\u0430 \u0432\u044b \u043f\u044b\u0442\u0430\u0435\u0442\u0435\u0441\u044c \u043e\u0431\u044a\u0435\u0434\u0438\u043d\u0438\u0442\u044c \u0434\u0432\u0430 DataFrame pandas, \u043d\u043e \u0441\u0442\u043e\u043b\u0431\u0435\u0446, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0432\u044b \u043e\u0431\u044a\u0435\u0434\u0438\u043d\u044f\u0435\u0442\u0435, \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u043c \u0432 \u043e\u0434\u043d\u043e\u043c DataFrame \u0438 \u0446\u0435\u043b\u044b\u043c \u0447\u0438\u0441\u043b\u043e\u043c \u0432 \u0434\u0440\u0443\u0433\u043e\u043c [&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-2869","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 \u0438\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c: \u0432\u044b \u043f\u044b\u0442\u0430\u0435\u0442\u0435\u0441\u044c \u043e\u0431\u044a\u0435\u0434\u0438\u043d\u0438\u0442\u044c \u0441\u0442\u043e\u043b\u0431\u0446\u044b object \u0438 int64 - Stories<\/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 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Statorials. \u0423\u0437\u043d\u0430\u0442\u044c \u0431\u043e\u043b\u044c\u0448\u0435\",\"sameAs\":[\"https:\/\/statorials.org\/ru\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u041a\u0430\u043a \u0438\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c: \u0432\u044b \u043f\u044b\u0442\u0430\u0435\u0442\u0435\u0441\u044c \u043e\u0431\u044a\u0435\u0434\u0438\u043d\u0438\u0442\u044c \u0441\u0442\u043e\u043b\u0431\u0446\u044b object \u0438 int64 - Stories","description":"\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\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0443\u044e \u043e\u0448\u0438\u0431\u043a\u0443 \u0432 pandas: \u00ab\u0432\u044b \u043f\u044b\u0442\u0430\u0435\u0442\u0435\u0441\u044c \u043e\u0431\u044a\u0435\u0434\u0438\u043d\u0438\u0442\u044c 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