{"id":1601,"date":"2023-07-25T16:51:45","date_gmt":"2023-07-25T16:51:45","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d1%80%d0%b0%d0%b7%d0%bd%d0%b8%d1%86%d0%b0-%d0%bf%d0%b0%d0%bd%d0%b4-%d0%bc%d0%b5%d0%b6%d0%b4%d1%83-%d0%b4%d0%b2%d1%83%d0%bc%d1%8f-%d1%81%d1%82%d0%be%d0%bb%d0%b1%d1%86%d0%b0%d0%bc%d0%b8\/"},"modified":"2023-07-25T16:51:45","modified_gmt":"2023-07-25T16:51:45","slug":"%d1%80%d0%b0%d0%b7%d0%bd%d0%b8%d1%86%d0%b0-%d0%bf%d0%b0%d0%bd%d0%b4-%d0%bc%d0%b5%d0%b6%d0%b4%d1%83-%d0%b4%d0%b2%d1%83%d0%bc%d1%8f-%d1%81%d1%82%d0%be%d0%bb%d0%b1%d1%86%d0%b0%d0%bc%d0%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d1%80%d0%b0%d0%b7%d0%bd%d0%b8%d1%86%d0%b0-%d0%bf%d0%b0%d0%bd%d0%b4-%d0%bc%d0%b5%d0%b6%d0%b4%d1%83-%d0%b4%d0%b2%d1%83%d0%bc%d1%8f-%d1%81%d1%82%d0%be%d0%bb%d0%b1%d1%86%d0%b0%d0%bc%d0%b8\/","title":{"rendered":"\u041f\u0430\u043d\u0434\u044b: \u043a\u0430\u043a \u043d\u0430\u0439\u0442\u0438 \u0440\u0430\u0437\u043d\u0438\u0446\u0443 \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c\u0438"},"content":{"rendered":"

<\/p>\n

\n

\u0427\u0442\u043e\u0431\u044b \u043d\u0430\u0439\u0442\u0438 \u0440\u0430\u0437\u043d\u0438\u0446\u0443 \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c\u0438 \u0432 DataFrame pandas, \u0432\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:<\/span><\/p>\n

 df[' difference<\/span> '] = df[' column1<\/span> '] - df[' column2<\/span> ']\n<\/strong><\/pre>\n
 \u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442, \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
 \u041f\u0440\u0438\u043c\u0435\u0440 1. \u041d\u0430\u0439\u0434\u0438\u0442\u0435 \u0440\u0430\u0437\u043d\u0438\u0446\u0443 \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c\u0438<\/strong><\/span><\/h3>\n
 \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, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043e\u0431\u0449\u0438\u0439 \u043e\u0431\u044a\u0435\u043c \u043f\u0440\u043e\u0434\u0430\u0436 \u0434\u043b\u044f \u0434\u0432\u0443\u0445 \u0440\u0435\u0433\u0438\u043e\u043d\u043e\u0432 (A \u0438 B) \u0437\u0430 \u0432\u043e\u0441\u0435\u043c\u044c \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u043f\u0435\u0440\u0438\u043e\u0434\u043e\u0432 \u043f\u0440\u043e\u0434\u0430\u0436:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' period<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8],\n                   ' A_sales<\/span> ': [12, 14, 15, 13, 18, 20, 19, 24],\n                   ' B_sales<\/span> ': [14, 19, 20, 22, 24, 20, 17, 23]})\n\n#view DataFrame\n<\/span>df\n\nperiod A_sales B_sales\n0 1 12 14\n1 2 14 19\n2 3 15 20\n3 4 13 22\n4 5 18 24\n5 6 20 20\n6 7 19 17\n7 8 24 23<\/strong><\/pre>\n
 \u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0440\u0430\u0437\u043d\u0438\u0446\u0443 \u043c\u0435\u0436\u0434\u0443 \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u043c\u0438 \u0432 \u0440\u0435\u0433\u0438\u043e\u043d\u0435 \u0411 \u0438 \u0440\u0435\u0433\u0438\u043e\u043d\u0435 \u0410 \u0434\u043b\u044f \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u043f\u0435\u0440\u0438\u043e\u0434\u0430 \u043f\u0440\u043e\u0434\u0430\u0436:<\/span><\/p>\n
 #add new column to represent difference between B sales and A sales<\/span>\ndf[' diff<\/span> '] = df[' B_sales<\/span> '] - df[' A_sales<\/span> ']\n\n#view DataFrame\n<\/span>df\n\n        period A_sales B_sales diff\n0 1 12 14 2\n1 2 14 19 5\n2 3 15 20 5\n3 4 13 22 9\n4 5 18 24 6\n5 6 20 20 0\n6 7 19 17 -2\n7 8 24 23 -1\n<\/strong><\/pre>\n
 \u041c\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0433\u043b\u0438 \u0431\u044b \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0430\u0431\u0441\u043e\u043b\u044e\u0442\u043d\u0443\u044e \u0440\u0430\u0437\u043d\u0438\u0446\u0443 \u0432 \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u0445, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0444\u0443\u043d\u043a\u0446\u0438\u044e pandas.Series.abs()<\/strong> :<\/span><\/p>\n
 #add new column to represent absolute difference between B sales and A sales<\/span>\ndf[' diff<\/span> '] = pd. Series<\/span> . abs<\/span> (df[' B_sales<\/span> '] - df[' A_sales<\/span> '])\n\n#view DataFrame\n<\/span>df\n\n\tperiod A_sales B_sales diff\n0 1 12 14 2\n1 2 14 19 5\n2 3 15 20 5\n3 4 13 22 9\n4 5 18 24 6\n5 6 20 20 0\n6 7 19 17 2\n7 8 24 23 1\n<\/strong><\/pre>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 2. \u041d\u0430\u0439\u0434\u0438\u0442\u0435 \u0440\u0430\u0437\u043d\u0438\u0446\u0443 \u043c\u0435\u0436\u0434\u0443 \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c\u0438 \u043f\u043e \u0443\u0441\u043b\u043e\u0432\u0438\u044e.<\/strong><\/span><\/h3>\n
 \u041c\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u043c \u043e\u0442\u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c DataFrame, \u0447\u0442\u043e\u0431\u044b \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0442\u044c \u0442\u043e\u043b\u044c\u043a\u043e \u0441\u0442\u0440\u043e\u043a\u0438, \u0432 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u043c\u0435\u0436\u0434\u0443 \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c\u0438 \u043c\u0435\u043d\u044c\u0448\u0435 \u0438\u043b\u0438 \u0431\u043e\u043b\u044c\u0448\u0435 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f.<\/span><\/p>\n
 \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u0442\u043e\u043b\u044c\u043a\u043e \u0442\u0435 \u0441\u0442\u0440\u043e\u043a\u0438, \u0432 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u043f\u0440\u043e\u0434\u0430\u0436\u0438 \u0432 \u0440\u0435\u0433\u0438\u043e\u043d\u0435 A \u043f\u0440\u0435\u0432\u044b\u0448\u0430\u044e\u0442<\/strong> \u043f\u0440\u043e\u0434\u0430\u0436\u0438 \u0432 \u0440\u0435\u0433\u0438\u043e\u043d\u0435 B:<\/span><\/p>\n
 #add new column to represent difference between B sales and A sales<\/span>\ndf[' diff<\/span> '] = df[' B_sales<\/span> '] - df[' A_sales<\/span> ']\n\n#display rows where sales in region A is greater than sales in region B\ndf[df[' diff<\/span> ']< 0<\/span> ]\n\n\n        period A_sales B_sales diff\n6 7 19 17 -2\n7 8 24 23 -1\n<\/span><\/span><\/strong><\/pre>\n
 \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
 \u041f\u0430\u043d\u0434\u044b: \u043a\u0430\u043a \u043d\u0430\u0439\u0442\u0438 \u0440\u0430\u0437\u043d\u0438\u0446\u0443 \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u0441\u0442\u0440\u043e\u043a\u0430\u043c\u0438<\/a>
 Pandas: \u043a\u0430\u043a \u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0438 \u0430\u0433\u0440\u0435\u0433\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u043e \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0427\u0442\u043e\u0431\u044b \u043d\u0430\u0439\u0442\u0438 \u0440\u0430\u0437\u043d\u0438\u0446\u0443 \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c\u0438 \u0432 DataFrame pandas, \u0432\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: df[‘ difference ‘] = df[‘ column1 ‘] — df[‘ column2 ‘] \u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442, \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. \u041f\u0440\u0438\u043c\u0435\u0440 1. \u041d\u0430\u0439\u0434\u0438\u0442\u0435 \u0440\u0430\u0437\u043d\u0438\u0446\u0443 \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c\u0438 \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, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043e\u0431\u0449\u0438\u0439 \u043e\u0431\u044a\u0435\u043c \u043f\u0440\u043e\u0434\u0430\u0436 \u0434\u043b\u044f \u0434\u0432\u0443\u0445 […]<\/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-1601","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u041f\u0430\u043d\u0434\u044b: \u043a\u0430\u043a \u043d\u0430\u0439\u0442\u0438 \u0440\u0430\u0437\u043d\u0438\u0446\u0443 \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c\u0438<\/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 \u043d\u0430\u0439\u0442\u0438 \u0440\u0430\u0437\u043d\u0438\u0446\u0443 \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c\u0438 \u0432 DataFrame pandas, \u0441 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043f\u0440\u0438\u043c\u0435\u0440\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\" 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