{"id":4084,"date":"2023-07-13T17:02:22","date_gmt":"2023-07-13T17:02:22","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82-excel-%d0%bf%d1%80%d0%be%d0%bf%d1%83%d1%81%d0%ba%d0%b0%d1%8e%d1%82-%d1%81%d1%82%d1%80%d0%be%d0%ba%d0%b8\/"},"modified":"2023-07-13T17:02:22","modified_gmt":"2023-07-13T17:02:22","slug":"%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82-excel-%d0%bf%d1%80%d0%be%d0%bf%d1%83%d1%81%d0%ba%d0%b0%d1%8e%d1%82-%d1%81%d1%82%d1%80%d0%be%d0%ba%d0%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82-excel-%d0%bf%d1%80%d0%be%d0%bf%d1%83%d1%81%d0%ba%d0%b0%d1%8e%d1%82-%d1%81%d1%82%d1%80%d0%be%d0%ba%d0%b8\/","title":{"rendered":"Pandas: \u043a\u0430\u043a \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438 \u043f\u0440\u0438 \u0447\u0442\u0435\u043d\u0438\u0438 \u0444\u0430\u0439\u043b\u0430 excel"},"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\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u0434\u043b\u044f \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u0430 \u0441\u0442\u0440\u043e\u043a \u043f\u0440\u0438 \u0447\u0442\u0435\u043d\u0438\u0438 \u0444\u0430\u0439\u043b\u0430 Excel \u0432 DataFrame pandas:<\/span><\/p>\n

\u0421\u043f\u043e\u0441\u043e\u0431 1: \u043f\u0440\u043e\u043f\u0443\u0441\u0442\u0438\u0442\u044c \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443<\/strong><\/span><\/p>\n

 #import DataFrame and skip row in index position 2\n<\/span>df = pd. read_excel<\/span> (' my_data.xlsx<\/span> ', skiprows=[ 2<\/span> ])\n<\/strong><\/pre>\n
 \u041c\u0435\u0442\u043e\u0434 2: \u0438\u0433\u043d\u043e\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u0445 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0445 \u0441\u0442\u0440\u043e\u043a<\/strong><\/span><\/p>\n
 #import DataFrame and skip rows in index positions 2 and 4\n<\/span>df = pd. read_excel<\/span> (' my_data.xlsx<\/span> ' , skiprows=[2,4<\/span> ]<\/span> )<\/strong><\/pre>\n
 \u0421\u043f\u043e\u0441\u043e\u0431 3: \u0438\u0433\u043d\u043e\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u0435\u0440\u0432\u044b\u0435 N \u0441\u0442\u0440\u043e\u043a<\/strong><\/span><\/p>\n
 #import DataFrame and skip first 2 rows\n<\/span>df = pd. read_excel<\/span> (' my_data.xlsx<\/span> ', skiprows= 2<\/span> )<\/strong><\/pre>\n
 \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u0445 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u0436\u0434\u044b\u0439 \u043c\u0435\u0442\u043e\u0434 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435 \u0441\u043e \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u0444\u0430\u0439\u043b\u043e\u043c Excel \u0441 \u0438\u043c\u0435\u043d\u0435\u043c player_data.xlsx<\/strong> :<\/span> <\/p>\n
\"\"<\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 1. \u0418\u0433\u043d\u043e\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443<\/strong><\/span><\/h2>\n
 \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 \u0434\u043b\u044f \u0438\u043c\u043f\u043e\u0440\u0442\u0430 \u0444\u0430\u0439\u043b\u0430 Excel \u0438 \u0438\u0433\u043d\u043e\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0443 \u0432 \u043f\u043e\u0437\u0438\u0446\u0438\u0438 \u0438\u043d\u0434\u0435\u043a\u0441\u0430 2:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#import DataFrame and skip row in index position 2\n<\/span>df = pd. read_excel<\/span> (' player_data.xlsx<\/span> ', skiprows=[ 2<\/span> ])\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points rebound assists\n0 to 24 8 5\n1 C 15 4 7\n2 D 19 4 8\n3 E 32 6 8\n4 F 13 7 9\n<\/b><\/pre>\n
 \u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u0441\u0442\u0440\u043e\u043a\u0430 \u0432 \u043f\u043e\u0437\u0438\u0446\u0438\u0438 \u0438\u043d\u0434\u0435\u043a\u0441\u0430 2 (\u0441 \u043a\u043e\u043c\u0430\u043d\u0434\u043e\u0439 \u00abB\u00bb) \u0431\u044b\u043b\u0430 \u043f\u0440\u043e\u0438\u0433\u043d\u043e\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u0430 \u043f\u0440\u0438 \u0438\u043c\u043f\u043e\u0440\u0442\u0435 \u0444\u0430\u0439\u043b\u0430 Excel \u0432 DataFrame pandas.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0447\u0430\u043d\u0438\u0435<\/strong> . \u041f\u0435\u0440\u0432\u0430\u044f \u0441\u0442\u0440\u043e\u043a\u0430 \u0444\u0430\u0439\u043b\u0430 Excel \u0441\u0447\u0438\u0442\u0430\u0435\u0442\u0441\u044f \u0441\u0442\u0440\u043e\u043a\u043e\u0439 0.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 2: \u0418\u0433\u043d\u043e\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u0445 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0445 \u0441\u0442\u0440\u043e\u043a<\/strong><\/span><\/h2>\n
 \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 \u0434\u043b\u044f \u0438\u043c\u043f\u043e\u0440\u0442\u0430 \u0444\u0430\u0439\u043b\u0430 Excel \u0438 \u0438\u0433\u043d\u043e\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438 \u0432 \u043f\u043e\u0437\u0438\u0446\u0438\u044f\u0445 \u0438\u043d\u0434\u0435\u043a\u0441\u0430 2 \u0438 4:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#import DataFrame and skip rows in index positions 2 and 4\n<\/span>df = pd. read_excel<\/span> (' player_data.xlsx<\/span> ', skiprows=[ 2,4<\/span> ] )<\/span>\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points rebound assists\n0 to 24 8 5\n1 C 15 4 7\n2 E 32 6 8\n3 F 13 7 9\n<\/b><\/pre>\n
 \u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u0441\u0442\u0440\u043e\u043a\u0438 \u0432 \u043f\u043e\u0437\u0438\u0446\u0438\u044f\u0445 \u0438\u043d\u0434\u0435\u043a\u0441\u0430 2 \u0438 4 (\u0441 \u043a\u043e\u043c\u0430\u043d\u0434\u0430\u043c\u0438 \u00abB\u00bb \u0438 \u00abD\u00bb) \u0431\u044b\u043b\u0438 \u043f\u0440\u043e\u0438\u0433\u043d\u043e\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u044b \u043f\u0440\u0438 \u0438\u043c\u043f\u043e\u0440\u0442\u0435 \u0444\u0430\u0439\u043b\u0430 Excel \u0432 DataFrame pandas.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 3: \u0438\u0433\u043d\u043e\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u0435\u0440\u0432\u044b\u0435 N \u0441\u0442\u0440\u043e\u043a<\/strong><\/span><\/h2>\n
 \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 \u0434\u043b\u044f \u0438\u043c\u043f\u043e\u0440\u0442\u0430 \u0444\u0430\u0439\u043b\u0430 Excel \u0438 \u0438\u0433\u043d\u043e\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u0435\u0440\u0432\u044b\u0435 \u0434\u0432\u0435 \u0441\u0442\u0440\u043e\u043a\u0438:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#import DataFrame and skip first 2 rows\n<\/span>df = pd. read_excel<\/span> (' player_data.xlsx<\/span> ', skiprows= 2<\/span> )\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   B 20 12 3\n0 C 15 4 7\n1 D 19 4 8\n2 E 32 6 8\n3 F 13 7 9\n<\/b><\/pre>\n
 \u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u043f\u0435\u0440\u0432\u044b\u0435 \u0434\u0432\u0435 \u0441\u0442\u0440\u043e\u043a\u0438 \u0444\u0430\u0439\u043b\u0430 Excel \u0431\u044b\u043b\u0438 \u043f\u0440\u043e\u043f\u0443\u0449\u0435\u043d\u044b, \u0430 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0430\u044f \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u0430\u044f \u0441\u0442\u0440\u043e\u043a\u0430 (\u0441 \u043a\u043e\u043c\u0430\u043d\u0434\u043e\u0439 \u00abB\u00bb) \u0441\u0442\u0430\u043b\u0430 \u0441\u0442\u0440\u043e\u043a\u043e\u0439 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 DataFrame.<\/span><\/p>\n
 \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
 \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 \u043d\u0430 Python:<\/span><\/p>\n
 \u041a\u0430\u043a \u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b\u044b Excel \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Pandas<\/a>
 \u041a\u0430\u043a \u044d\u043a\u0441\u043f\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c DataFrame Pandas \u0432 Excel<\/a>
 \u041a\u0430\u043a \u044d\u043a\u0441\u043f\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 NumPy \u0432 \u0444\u0430\u0439\u043b CSV<\/a><\/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\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u0434\u043b\u044f \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u0430 \u0441\u0442\u0440\u043e\u043a \u043f\u0440\u0438 \u0447\u0442\u0435\u043d\u0438\u0438 \u0444\u0430\u0439\u043b\u0430 Excel \u0432 DataFrame pandas: \u0421\u043f\u043e\u0441\u043e\u0431 1: \u043f\u0440\u043e\u043f\u0443\u0441\u0442\u0438\u0442\u044c \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443 #import DataFrame and skip row in index position 2 df = pd. read_excel (‘ my_data.xlsx ‘, skiprows=[ 2 ]) \u041c\u0435\u0442\u043e\u0434 2: \u0438\u0433\u043d\u043e\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u0445 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0445 \u0441\u0442\u0440\u043e\u043a #import DataFrame and skip rows in index positions 2 and […]<\/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-4084","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\nPandas: \u041a\u0430\u043a \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438 \u043f\u0440\u0438 \u0447\u0442\u0435\u043d\u0438\u0438 \u0444\u0430\u0439\u043b\u0430 Excel - \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 \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438 \u043f\u0440\u0438 \u0447\u0442\u0435\u043d\u0438\u0438 \u0444\u0430\u0439\u043b\u0430 Excel \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-\u0447\u0438\u0442\u0430\u044e\u0442-excel-\u043f\u0440\u043e\u043f\u0443\u0441\u043a\u0430\u044e\u0442-\u0441\u0442\u0440\u043e\u043a\u0438\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: \u041a\u0430\u043a \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438 \u043f\u0440\u0438 \u0447\u0442\u0435\u043d\u0438\u0438 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