{"id":1943,"date":"2023-07-24T08:42:58","date_gmt":"2023-07-24T08:42:58","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d0%b2%d1%8b%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82-%d0%b4%d0%b2%d0%b0-%d1%81%d1%82%d0%be%d0%bb%d0%b1%d1%86%d0%b0\/"},"modified":"2023-07-24T08:42:58","modified_gmt":"2023-07-24T08:42:58","slug":"%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d0%b2%d1%8b%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82-%d0%b4%d0%b2%d0%b0-%d1%81%d1%82%d0%be%d0%bb%d0%b1%d1%86%d0%b0","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d0%b2%d1%8b%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82-%d0%b4%d0%b2%d0%b0-%d1%81%d1%82%d0%be%d0%bb%d0%b1%d1%86%d0%b0\/","title":{"rendered":"\u041a\u0430\u043a \u0432\u044b\u0447\u0435\u0441\u0442\u044c \u0434\u0432\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u0432 pandas dataframe"},"content":{"rendered":"

<\/p>\n

\n

\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, \u0447\u0442\u043e\u0431\u044b \u0432\u044b\u0447\u0435\u0441\u0442\u044c \u043e\u0434\u0438\u043d \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0438\u0437 \u0434\u0440\u0443\u0433\u043e\u0433\u043e \u0432 DataFrame pandas:<\/span><\/p>\n

 #subtract column 'B' from column 'A'<\/span>\ndf[' AB<\/span> '] = df. A<\/span> - df. B\n<\/span><\/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: \u0432\u044b\u0447\u0435\u0441\u0442\u044c \u0434\u0432\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u0432 Pandas<\/strong><\/span><\/h3>\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 \u0432\u044b\u0447\u0435\u0441\u0442\u044c \u043e\u0434\u0438\u043d \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0438\u0437 \u0434\u0440\u0443\u0433\u043e\u0433\u043e \u0432 DataFrame pandas \u0438 \u043f\u0440\u0438\u0441\u0432\u043e\u0438\u0442\u044c \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 \u043d\u043e\u0432\u043e\u043c\u0443 \u0441\u0442\u043e\u043b\u0431\u0446\u0443:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span> \ndf = pd. DataFrame<\/span> ({' A<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' B<\/span> ': [5, 7, 8, 9, 12, 9, 12, 4],\n                   ' C<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#subtract column B from column A<\/span>\ndf[' AB<\/span> '] = df. A<\/span> - df. B<\/span>\n\n#view DataFrame<\/span>\ndf\n\n        A B C AB\n0 25 5 11 20\n1 12 7 8 5\n2 15 8 10 7\n3 14 9 6 5\n4 19 12 6 7\n5 23 9 5 14\n6 25 12 9 13\n7 29 4 12 25\n<\/strong><\/pre>\n
 \u041d\u043e\u0432\u044b\u0439 \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u043f\u043e\u0434 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435\u043c \u00ab AB<\/strong> \u00bb \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0435\u0442 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0432\u044b\u0447\u0438\u0442\u0430\u043d\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 B \u0438\u0437 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 A.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 2. \u0412\u044b\u0447\u0435\u0441\u0442\u044c \u0434\u0432\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u0441 \u043f\u0440\u043e\u043f\u0443\u0449\u0435\u043d\u043d\u044b\u043c\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u043c\u0438<\/strong><\/span><\/h3>\n
 \u0415\u0441\u043b\u0438 \u043c\u044b \u0432\u044b\u0447\u0438\u0442\u0430\u0435\u043c \u043e\u0434\u0438\u043d \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0438\u0437 \u0434\u0440\u0443\u0433\u043e\u0433\u043e \u0432 DataFrame pandas \u0438 \u0432 \u043e\u0434\u043d\u043e\u043c \u0438\u0437 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0435\u0441\u0442\u044c \u043f\u0440\u043e\u043f\u0443\u0449\u0435\u043d\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f, \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u043c \u0432\u044b\u0447\u0438\u0442\u0430\u043d\u0438\u044f \u0432\u0441\u0435\u0433\u0434\u0430 \u0431\u0443\u0434\u0435\u0442 \u043f\u0440\u043e\u043f\u0443\u0449\u0435\u043d\u043d\u043e\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> numpy as<\/span> np\n\n#create DataFrame with some missing values<\/span>\ndf = pd. DataFrame<\/span> ({' A<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' B<\/span> ': [5, 7, np. no<\/span> , 9, 12, np. no<\/span> , 12, 4],\n                   ' C<\/span> ': [np. no<\/span> , 8, 10, 6, 6, 5, 9, 12]}) \n<\/span>\n#subtract column B from column A<\/span>\ndf[' AB<\/span> '] = df. A<\/span> - df. B\n<\/span>\n#view DataFrame\n<\/span>df\n\n\tA B C AB\n0 25 5.0 NaN 20.0\n1 12 7.0 8.0 5.0\n2 15 NaN 10.0 NaN\n3 14 9.0 6.0 5.0\n4 19 12.0 6.0 7.0\n5 23 NaN 5.0 NaN\n6 25 12.0 9.0 13.0\n7 29 4.0 12.0 25.0\n<\/span><\/span><\/strong><\/pre>\n
 \u0415\u0441\u043b\u0438 \u0445\u043e\u0442\u0438\u0442\u0435, \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0437\u0430\u043c\u0435\u043d\u0438\u0442\u044c \u0432\u0441\u0435 \u043f\u0440\u043e\u043f\u0443\u0449\u0435\u043d\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 dataFrame \u043d\u0443\u043b\u044f\u043c\u0438 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u0438 df.fillna(0)<\/strong> \u043f\u0435\u0440\u0435\u0434 \u0432\u044b\u0447\u0438\u0442\u0430\u043d\u0438\u0435\u043c \u043e\u0434\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u0438\u0437 \u0434\u0440\u0443\u0433\u043e\u0433\u043e:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> numpy as<\/span> np\n\n#create DataFrame with some missing values<\/span>\ndf = pd. DataFrame<\/span> ({' A<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' B<\/span> ': [5, 7, np. no<\/span> , 9, 12, np. no<\/span> , 12, 4],\n                   ' C<\/span> ': [np. no<\/span> , 8, 10, 6, 6, 5, 9, 12]}) \n<\/span>\n#replace all missing values with zeros\n<\/span>df = df. fillna<\/span> ( 0<\/span> )\n\n#subtract column B from column A<\/span>\ndf[' AB<\/span> '] = df. A<\/span> - df. B<\/span>\n\n#view DataFrame\n<\/span>df\n\tA B C AB\n0 25 5.0 0.0 20.0\n1 12 7.0 8.0 5.0\n2 15 0.0 10.0 15.0\n3 14 9.0 6.0 5.0\n4 19 12.0 6.0 7.0\n5 23 0.0 5.0 23.0\n6 25 12.0 9.0 13.0\n7 29 4.0 12.0 25.0<\/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
 \u041a\u0430\u043a \u0434\u043e\u0431\u0430\u0432\u0438\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438 \u0432 DataFrame Pandas<\/a>
 \u041a\u0430\u043a \u0434\u043e\u0431\u0430\u0432\u0438\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 Numpy \u0432 DataFrame Pandas<\/a>
 \u041a\u0430\u043a \u043f\u043e\u0434\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0441\u0442\u0440\u043e\u043a \u0432 Pandas DataFrame<\/p>\n","protected":false},"excerpt":{"rendered":"
\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, \u0447\u0442\u043e\u0431\u044b \u0432\u044b\u0447\u0435\u0441\u0442\u044c \u043e\u0434\u0438\u043d \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0438\u0437 \u0434\u0440\u0443\u0433\u043e\u0433\u043e \u0432 DataFrame pandas: #subtract column ‘B’ from column ‘A’ df[‘ AB ‘] = df. A — df. B \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: \u0432\u044b\u0447\u0435\u0441\u0442\u044c \u0434\u0432\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u0432 Pandas \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 \u0432\u044b\u0447\u0435\u0441\u0442\u044c \u043e\u0434\u0438\u043d \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0438\u0437 \u0434\u0440\u0443\u0433\u043e\u0433\u043e \u0432 […]<\/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-1943","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u041a\u0430\u043a \u0432\u044b\u0447\u0435\u0441\u0442\u044c \u0434\u0432\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u0432 Pandas DataFrame \u2013 Statory<\/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\u0447\u0435\u0441\u0442\u044c \u0434\u0432\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \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\" href=\"https:\/\/statorials.org\/ru\/\u043f\u0430\u043d\u0434\u044b-\u0432\u044b\u0447\u0438\u0442\u0430\u044e\u0442-\u0434\u0432\u0430-\u0441\u0442\u043e\u043b\u0431\u0446\u0430\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u041a\u0430\u043a \u0432\u044b\u0447\u0435\u0441\u0442\u044c \u0434\u0432\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u0432 Pandas DataFrame \u2013 Statory\" \/>\n<meta property=\"og: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\u0447\u0435\u0441\u0442\u044c \u0434\u0432\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \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 property=\"og:url\" content=\"https:\/\/statorials.org\/ru\/\u043f\u0430\u043d\u0434\u044b-\u0432\u044b\u0447\u0438\u0442\u0430\u044e\u0442-\u0434\u0432\u0430-\u0441\u0442\u043e\u043b\u0431\u0446\u0430\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T08:42:58+00:00\" \/>\n<meta name=\"author\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e \u0430\u0432\u0442\u043e\u0440\u043e\u043c\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n\t<meta 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