{"id":897,"date":"2023-07-28T09:16:44","date_gmt":"2023-07-28T09:16:44","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%b5%d0%ba%d1%81%d0%bf%d0%be%d1%80%d1%82%d1%83%d0%b8%d1%82%d0%b5-%d1%84%d1%80%d0%b5%d0%b8%d0%bc-%d0%b4%d0%b0%d0%bd%d0%b8%d1%85-pandas-%d0%b4%d0%be-excel\/"},"modified":"2023-07-28T09:16:44","modified_gmt":"2023-07-28T09:16:44","slug":"%d0%b5%d0%ba%d1%81%d0%bf%d0%be%d1%80%d1%82%d1%83%d0%b8%d1%82%d0%b5-%d1%84%d1%80%d0%b5%d0%b8%d0%bc-%d0%b4%d0%b0%d0%bd%d0%b8%d1%85-pandas-%d0%b4%d0%be-excel","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%b5%d0%ba%d1%81%d0%bf%d0%be%d1%80%d1%82%d1%83%d0%b8%d1%82%d0%b5-%d1%84%d1%80%d0%b5%d0%b8%d0%bc-%d0%b4%d0%b0%d0%bd%d0%b8%d1%85-pandas-%d0%b4%d0%be-excel\/","title":{"rendered":"\u042f\u043a \u0435\u043a\u0441\u043f\u043e\u0440\u0442\u0443\u0432\u0430\u0442\u0438 pandas dataframe \u0432 excel"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0427\u0430\u0441\u0442\u043e \u0432\u0430\u043c \u043c\u043e\u0436\u0435 \u0431\u0443\u0442\u0438 \u0446\u0456\u043a\u0430\u0432\u043e \u0435\u043a\u0441\u043f\u043e\u0440\u0442\u0443\u0432\u0430\u0442\u0438 pandas DataFrame \u0434\u043e Excel. \u041d\u0430 \u0449\u0430\u0441\u0442\u044f, \u0446\u0435 \u043b\u0435\u0433\u043a\u043e \u0437\u0440\u043e\u0431\u0438\u0442\u0438 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 pandas <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.to_excel.html\" target=\"_blank\" rel=\"noopener\">to_excel()<\/a> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0429\u043e\u0431 \u0441\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438\u0441\u044f \u0446\u0456\u0454\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0454\u044e, \u0432\u0430\u043c \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 <strong>openpyxl<\/strong> , \u0449\u043e\u0431 \u0432\u0438 \u043c\u043e\u0433\u043b\u0438 \u0437\u0430\u043f\u0438\u0441\u0443\u0432\u0430\u0442\u0438 \u0444\u0430\u0439\u043b\u0438 \u0432 Excel:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>pip install openpyxl<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454 \u043a\u0456\u043b\u044c\u043a\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456\u0432 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0446\u0456\u0454\u0457 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 \u0437 \u0442\u0430\u043a\u0438\u043c DataFrame:<\/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>\ndf = pd.DataFrame({'points': [25, 12, 15, 14, 19],\n                   'assists': [5, 7, 7, 9, 12],\n                   'rebounds': [11, 8, 10, 6, 6]}) \n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n        points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u0411\u0430\u0437\u043e\u0432\u0438\u0439 \u0435\u043a\u0441\u043f\u043e\u0440\u0442<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0435\u043a\u0441\u043f\u043e\u0440\u0442\u0443\u0432\u0430\u0442\u0438 DataFrame \u0434\u043e \u043f\u0435\u0432\u043d\u043e\u0433\u043e \u0448\u043b\u044f\u0445\u0443 \u0434\u043e \u0444\u0430\u0439\u043b\u0443 \u0442\u0430 \u0437\u0431\u0435\u0440\u0435\u0433\u0442\u0438 \u0439\u043e\u0433\u043e \u044f\u043a <strong>mydata.xlsx<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">to_excel<\/span> (r'C:\\Users\\Zach\\Desktop\\mydata.xlsx')\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041e\u0441\u044c \u044f\u043a \u0432\u0438\u0433\u043b\u044f\u0434\u0430\u0454 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0438\u0439 \u0444\u0430\u0439\u043b Excel:<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9644 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pandasexcel1.png\" alt=\"\" width=\"499\" height=\"465\" srcset=\"\" sizes=\"\"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u0415\u043a\u0441\u043f\u043e\u0440\u0442 \u0431\u0435\u0437 \u0456\u043d\u0434\u0435\u043a\u0441\u0443<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0435\u043a\u0441\u043f\u043e\u0440\u0442\u0443\u0432\u0430\u0442\u0438 DataFrame \u0434\u043e \u043f\u0435\u0432\u043d\u043e\u0433\u043e \u0448\u043b\u044f\u0445\u0443 \u0434\u043e \u0444\u0430\u0439\u043b\u0443 \u0442\u0430 \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0456\u043d\u0434\u0435\u043a\u0441\u0443:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">to_excel<\/span> (r'C:\\Users\\Zach\\Desktop\\mydata.xlsx', index= <span style=\"color: #339966;\">False<\/span> )\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041e\u0441\u044c \u044f\u043a \u0432\u0438\u0433\u043b\u044f\u0434\u0430\u0454 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0438\u0439 \u0444\u0430\u0439\u043b Excel:<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9645 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pandasexcel2.png\" alt=\"\" width=\"500\" height=\"489\" srcset=\"\" sizes=\"\"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 3: \u0435\u043a\u0441\u043f\u043e\u0440\u0442 \u0431\u0435\u0437 \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u0447\u0438 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0435\u043a\u0441\u043f\u043e\u0440\u0442\u0443\u0432\u0430\u0442\u0438 DataFrame \u0434\u043e \u043f\u0435\u0432\u043d\u043e\u0433\u043e \u0448\u043b\u044f\u0445\u0443 \u0434\u043e \u0444\u0430\u0439\u043b\u0443 \u0442\u0430 \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u0442\u0430 \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">to_excel<\/span> (r'C:\\Users\\Zach\\Desktop\\mydata.xlsx', index= <span style=\"color: #339966;\">False, <span style=\"color: #000000;\">header=<\/span> False<\/span> )\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041e\u0441\u044c \u044f\u043a \u0432\u0438\u0433\u043b\u044f\u0434\u0430\u0454 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0438\u0439 \u0444\u0430\u0439\u043b Excel:<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9646 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pandasexcel3.png\" alt=\"\" width=\"500\" height=\"493\" srcset=\"\" sizes=\"\"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 4. \u0415\u043a\u0441\u043f\u043e\u0440\u0442 \u0430\u0440\u043a\u0443\u0448\u0430 \u0442\u0430 \u0439\u043e\u0433\u043e \u043d\u0430\u0437\u0432\u0430<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043a\u043e\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u0435\u043a\u0441\u043f\u043e\u0440\u0442\u0443\u0432\u0430\u0442\u0438 DataFrame \u0443 \u043f\u0435\u0432\u043d\u0438\u0439 \u0448\u043b\u044f\u0445 \u0434\u043e \u0444\u0430\u0439\u043b\u0443 \u0442\u0430 \u043d\u0430\u0437\u0432\u0430\u0442\u0438 \u0430\u0440\u043a\u0443\u0448 Excel:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">to_excel<\/span> (r'C:\\Users\\Zach\\Desktop\\mydata.xlsx', sheet_name=' <span style=\"color: #339966;\">this_data<\/span> ')\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041e\u0441\u044c \u044f\u043a \u0432\u0438\u0433\u043b\u044f\u0434\u0430\u0454 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0438\u0439 \u0444\u0430\u0439\u043b Excel:<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9647 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pandasexcel4.png\" alt=\"\" width=\"501\" height=\"484\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\"><em>\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0437\u043d\u0430\u0439\u0442\u0438 \u043f\u043e\u0432\u043d\u0443 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0456\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 to_excel() <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.to_excel.html\" target=\"_blank\" rel=\"noopener\">\u0442\u0443\u0442<\/a> .<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0427\u0430\u0441\u0442\u043e \u0432\u0430\u043c \u043c\u043e\u0436\u0435 \u0431\u0443\u0442\u0438 \u0446\u0456\u043a\u0430\u0432\u043e \u0435\u043a\u0441\u043f\u043e\u0440\u0442\u0443\u0432\u0430\u0442\u0438 pandas DataFrame \u0434\u043e Excel. \u041d\u0430 \u0449\u0430\u0441\u0442\u044f, \u0446\u0435 \u043b\u0435\u0433\u043a\u043e \u0437\u0440\u043e\u0431\u0438\u0442\u0438 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 pandas to_excel() . \u0429\u043e\u0431 \u0441\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438\u0441\u044f \u0446\u0456\u0454\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0454\u044e, \u0432\u0430\u043c \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 openpyxl , \u0449\u043e\u0431 \u0432\u0438 \u043c\u043e\u0433\u043b\u0438 \u0437\u0430\u043f\u0438\u0441\u0443\u0432\u0430\u0442\u0438 \u0444\u0430\u0439\u043b\u0438 \u0432 Excel: pip install openpyxl \u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454 \u043a\u0456\u043b\u044c\u043a\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456\u0432 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0446\u0456\u0454\u0457 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 \u0437 \u0442\u0430\u043a\u0438\u043c DataFrame: import pandas as [&hellip;]<\/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":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u042f\u043a \u0435\u043a\u0441\u043f\u043e\u0440\u0442\u0443\u0432\u0430\u0442\u0438 Pandas DataFrame \u0434\u043e Excel \u2013 \u0421\u0442\u0430\u0442\u043e\u043b\u043e\u0433\u0456\u044f<\/title>\n<meta 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