{"id":967,"date":"2023-07-28T03:40:23","date_gmt":"2023-07-28T03:40:23","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82%d1%8c-excel\/"},"modified":"2023-07-28T03:40:23","modified_gmt":"2023-07-28T03:40:23","slug":"%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82%d1%8c-excel","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d1%87%d0%b8%d1%82%d0%b0%d1%8e%d1%82%d1%8c-excel\/","title":{"rendered":"\u041f\u043e\u0432\u043d\u0438\u0439 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a: \u044f\u043a \u0447\u0438\u0442\u0430\u0442\u0438 \u0444\u0430\u0439\u043b\u0438 excel \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e pandas"},"content":{"rendered":"

<\/p>\n

\n

\u0424\u0430\u0439\u043b\u0438 Excel \u0454 \u043e\u0434\u043d\u0438\u043c \u0456\u0437 \u043d\u0430\u0439\u043f\u043e\u0448\u0438\u0440\u0435\u043d\u0456\u0448\u0438\u0445 \u0441\u043f\u043e\u0441\u043e\u0431\u0456\u0432 \u0437\u0431\u0435\u0440\u0456\u0433\u0430\u043d\u043d\u044f \u0434\u0430\u043d\u0438\u0445. \u041d\u0430 \u0449\u0430\u0441\u0442\u044f, \u0444\u0443\u043d\u043a\u0446\u0456\u044f pandas read_excel()<\/a> \u0434\u043e\u0437\u0432\u043e\u043b\u044f\u0454 \u043b\u0435\u0433\u043a\u043e \u0447\u0438\u0442\u0430\u0442\u0438 \u0444\u0430\u0439\u043b\u0438 Excel.<\/span><\/p>\n

\u0426\u0435\u0439 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454 \u043a\u0456\u043b\u044c\u043a\u0430 \u0441\u043f\u043e\u0441\u043e\u0431\u0456\u0432 \u0447\u0438\u0442\u0430\u043d\u043d\u044f \u0444\u0430\u0439\u043b\u0456\u0432 Excel \u0443 Python \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e pandas.<\/span><\/p>\n

\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u0447\u0438\u0442\u0430\u043d\u043d\u044f \u0444\u0430\u0439\u043b\u0443 Excel \u0443 pandas DataFrame<\/strong><\/span><\/h3>\n

\u041f\u0440\u0438\u043f\u0443\u0441\u0442\u0438\u043c\u043e, \u0443 \u043d\u0430\u0441 \u0454 \u0442\u0430\u043a\u0438\u0439 \u0444\u0430\u0439\u043b Excel:<\/span> <\/p>\n

\"\"<\/p>\n

\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e read_excel()<\/strong> \u0434\u043b\u044f \u0456\u043c\u043f\u043e\u0440\u0442\u0443 \u0446\u044c\u043e\u0433\u043e \u0444\u0430\u0439\u043b\u0443 Excel \u0443 pandas DataFrame:<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#import Excel file<\/span>\ndf = pd. read_excel<\/span> ('data.xlsx')\n\n#view DataFrame<\/span>\ndf\n\n        playerID team points\n0 1 Lakers 26\n1 2 Mavs 19\n2 3 Bucks 24\n3 4 Spurs 22\n<\/strong><\/pre>\n
 \u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u0447\u0438\u0442\u0430\u043d\u043d\u044f \u0444\u0430\u0439\u043b\u0443 Excel \u0437\u0456 \u0441\u0442\u043e\u0432\u043f\u0446\u0435\u043c \u0456\u043d\u0434\u0435\u043a\u0441\u0443<\/strong><\/span><\/h3>\n
 \u0406\u043d\u043e\u0434\u0456 \u0443 \u0432\u0430\u0441 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435 \u0431\u0443\u0442\u0438 \u0444\u0430\u0439\u043b Excel, \u0434\u0435 \u043e\u0434\u0438\u043d \u0437\u0456 \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432 \u0454 \u0441\u0442\u043e\u0432\u043f\u0446\u0435\u043c \u0456\u043d\u0434\u0435\u043a\u0441\u0443:<\/span> <\/p>\n
\"\"<\/p>\n
 \u0423 \u0446\u044c\u043e\u043c\u0443 \u0432\u0438\u043f\u0430\u0434\u043a\u0443 \u0432\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 index_col<\/strong> , \u0449\u043e\u0431 \u043f\u043e\u0432\u0456\u0434\u043e\u043c\u0438\u0442\u0438 pandas, \u044f\u043a\u0438\u0439 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u044f\u043a \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u043f\u0456\u0434 \u0447\u0430\u0441 \u0456\u043c\u043f\u043e\u0440\u0442\u0443:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#import Excel file, specifying the index column<\/span>\ndf = pd. read_excel<\/span> ('data.xlsx', index_col=' index<\/span> ')\n\n#view DataFrame<\/span>\ndf\n\n\tplayerID team points\nindex\t\t\t\n1 1 Lakers 26\n2 2 Mavs 19\n3 3 Bucks 24\n4 4 Spurs 22<\/strong><\/pre>\n
 \u041f\u0440\u0438\u043a\u043b\u0430\u0434 3. \u041f\u0440\u043e\u0447\u0438\u0442\u0430\u0439\u0442\u0435 \u0444\u0430\u0439\u043b Excel, \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u044e\u0447\u0438 \u043d\u0430\u0437\u0432\u0443 \u0430\u0440\u043a\u0443\u0448\u0430<\/strong><\/span><\/h3>\n
 \u0412\u0438 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435\u0442\u0435 \u0447\u0438\u0442\u0430\u0442\u0438 \u043f\u0435\u0432\u043d\u0456 \u043d\u0430\u0437\u0432\u0438 \u0430\u0440\u043a\u0443\u0448\u0456\u0432 \u0456\u0437 \u0444\u0430\u0439\u043b\u0443 Excel \u0443 pandas DataFrame. \u041d\u0430\u043f\u0440\u0438\u043a\u043b\u0430\u0434, \u0440\u043e\u0437\u0433\u043b\u044f\u043d\u0435\u043c\u043e \u0442\u0430\u043a\u0438\u0439 \u0444\u0430\u0439\u043b Excel:<\/span> <\/p>\n
\"\"<\/p>\n
 \u0429\u043e\u0431 \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u0438 \u043f\u0435\u0432\u043d\u0438\u0439 \u0430\u0440\u043a\u0443\u0448 \u044f\u043a pandas DataFrame, \u0432\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 sheet_name()<\/strong> :<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#import only second sheet<\/span>\ndf = pd. read_excel<\/span> ('data.xlsx', sheet_name=' second sheet<\/span> ')\n\n#view DataFrame\n<\/span>df\n\nplayerID team points\n0 1 Lakers 26\n1 2 Mavs 19\n2 3 Bucks 24\n3 4 Spurs 22\n<\/strong><\/pre>\n
 \u041f\u043e\u0448\u0438\u0440\u0435\u043d\u0430 \u043f\u043e\u043c\u0438\u043b\u043a\u0430: \u0432\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u0435\u043d\u043d\u044f xlrd<\/strong><\/span><\/h3>\n
 \u041f\u0456\u0434 \u0447\u0430\u0441 \u0441\u043f\u0440\u043e\u0431\u0438 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0444\u0443\u043d\u043a\u0446\u0456\u0457 read_excel()<\/strong> \u043c\u043e\u0436\u0435 \u0432\u0438\u043d\u0438\u043a\u043d\u0443\u0442\u0438 \u0442\u0430\u043a\u0430 \u043f\u043e\u043c\u0438\u043b\u043a\u0430:<\/span><\/p>\n
 ImportError: Install xlrd >= 1.0.0 for Excel support\n<\/strong><\/pre>\n
 \u0423 \u0446\u044c\u043e\u043c\u0443 \u0432\u0438\u043f\u0430\u0434\u043a\u0443 \u0441\u043f\u043e\u0447\u0430\u0442\u043a\u0443 \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u043e \u0432\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0438 xlrd:<\/span><\/p>\n
 pip install xlrd<\/strong><\/pre>\n
 \u041f\u0456\u0441\u043b\u044f \u0432\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u0435\u043d\u043d\u044f \u0432\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e read_excel()<\/strong> .<\/span><\/p>\n
 \u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h3>\n
 \u042f\u043a \u0447\u0438\u0442\u0430\u0442\u0438 \u0444\u0430\u0439\u043b\u0438 CSV \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e Pandas<\/a>
 \u042f\u043a \u0435\u043a\u0441\u043f\u043e\u0440\u0442\u0443\u0432\u0430\u0442\u0438 Pandas DataFrame \u0432 Excel<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0424\u0430\u0439\u043b\u0438 Excel \u0454 \u043e\u0434\u043d\u0438\u043c \u0456\u0437 \u043d\u0430\u0439\u043f\u043e\u0448\u0438\u0440\u0435\u043d\u0456\u0448\u0438\u0445 \u0441\u043f\u043e\u0441\u043e\u0431\u0456\u0432 \u0437\u0431\u0435\u0440\u0456\u0433\u0430\u043d\u043d\u044f \u0434\u0430\u043d\u0438\u0445. \u041d\u0430 \u0449\u0430\u0441\u0442\u044f, \u0444\u0443\u043d\u043a\u0446\u0456\u044f pandas read_excel() \u0434\u043e\u0437\u0432\u043e\u043b\u044f\u0454 \u043b\u0435\u0433\u043a\u043e \u0447\u0438\u0442\u0430\u0442\u0438 \u0444\u0430\u0439\u043b\u0438 Excel. \u0426\u0435\u0439 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454 \u043a\u0456\u043b\u044c\u043a\u0430 \u0441\u043f\u043e\u0441\u043e\u0431\u0456\u0432 \u0447\u0438\u0442\u0430\u043d\u043d\u044f \u0444\u0430\u0439\u043b\u0456\u0432 Excel \u0443 Python \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e pandas. \u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u0447\u0438\u0442\u0430\u043d\u043d\u044f \u0444\u0430\u0439\u043b\u0443 Excel \u0443 pandas DataFrame \u041f\u0440\u0438\u043f\u0443\u0441\u0442\u0438\u043c\u043e, \u0443 \u043d\u0430\u0441 \u0454 \u0442\u0430\u043a\u0438\u0439 \u0444\u0430\u0439\u043b Excel: \u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e read_excel() \u0434\u043b\u044f […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"\n\u041f\u043e\u0432\u043d\u0438\u0439 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a: \u044f\u043a \u0447\u0438\u0442\u0430\u0442\u0438 \u0444\u0430\u0439\u043b\u0438 Excel \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e Pandas<\/title>\n<meta name=\"description\" content=\"\u041f\u043e\u0432\u043d\u0438\u0439 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a \u0456\u0437 \u0447\u0438\u0442\u0430\u043d\u043d\u044f \u0444\u0430\u0439\u043b\u0456\u0432 Excel \u0443 pandas DataFrame, \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0447\u0438 \u043a\u0456\u043b\u044c\u043a\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456\u0432.\" \/>\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\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0447\u0438\u0442\u0430\u044e\u0442\u044c-excel\/\" \/>\n<meta property=\"og:locale\" content=\"uk_UA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u041f\u043e\u0432\u043d\u0438\u0439 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a: \u044f\u043a \u0447\u0438\u0442\u0430\u0442\u0438 \u0444\u0430\u0439\u043b\u0438 Excel \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e Pandas\" \/>\n<meta property=\"og:description\" content=\"\u041f\u043e\u0432\u043d\u0438\u0439 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a \u0456\u0437 \u0447\u0438\u0442\u0430\u043d\u043d\u044f \u0444\u0430\u0439\u043b\u0456\u0432 Excel \u0443 pandas DataFrame, \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0447\u0438 \u043a\u0456\u043b\u044c\u043a\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456\u0432.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0447\u0438\u0442\u0430\u044e\u0442\u044c-excel\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T03:40:23+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pdimportexcel1.png\" \/>\n<meta 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