{"id":2379,"date":"2023-07-22T13:02:06","date_gmt":"2023-07-22T13:02:06","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e5%88%9b%e5%bb%ba%e4%b8%b2%e8%a1%8c%e6%95%b0%e6%8d%ae%e5%b8%a7\/"},"modified":"2023-07-22T13:02:06","modified_gmt":"2023-07-22T13:02:06","slug":"pandas-%e5%88%9b%e5%bb%ba%e4%b8%b2%e8%a1%8c%e6%95%b0%e6%8d%ae%e5%b8%a7","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e5%88%9b%e5%bb%ba%e4%b8%b2%e8%a1%8c%e6%95%b0%e6%8d%ae%e5%b8%a7\/","title":{"rendered":"\u5982\u4f55\u4ece\u7cfb\u5217\u521b\u5efa pandas dataframe\uff08\u5e26\u6709\u793a\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u4ece\u4e00\u4e2a\u6216\u591a\u4e2a pandas \u7cfb\u5217\u521b\u5efa pandas DataFrame\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u6f14\u793a\u5982\u4f55\u4f7f\u7528\u73b0\u6709\u7cfb\u5217\u4f5c\u4e3a DataFrame \u7684\u884c\u6216\u5217\u6765\u521b\u5efa pandas DataFrame\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 1\uff1a\u4f7f\u7528\u7cfb\u5217\u4f5c\u4e3a\u5217\u521b\u5efa Pandas DataFrame<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b\u4e09\u4e2a\u718a\u732b\u7cfb\u5217\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008080;\">\n<span style=\"color: #000000;\"><span style=\"color: #008080;\">#define three Series<\/span>\nname = pd. <span style=\"color: #3366ff;\">Series<\/span> (['A', 'B', 'C', 'D', 'E'])\npoints = pd. <span style=\"color: #3366ff;\">Series<\/span> ([34, 20, 21, 57, 68])\nassists = pd. <span style=\"color: #3366ff;\">Series<\/span> ([8, 12, 14, 9, 11])\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u5c06\u6bcf\u4e2a\u7cfb\u5217\u8f6c\u6362\u4e3a DataFrame\uff0c\u7136\u540e\u5c06\u5b83\u4eec\u5168\u90e8\u8fde\u63a5\u5230\u4e00\u4e2a DataFrame \u4e2d\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#convert each Series to a DataFrame\n<\/span>name_df = name. <span style=\"color: #3366ff;\">to_frame<\/span> (name=' <span style=\"color: #ff0000;\">name<\/span> ')\npoints_df = points. <span style=\"color: #3366ff;\">to_frame<\/span> (name=' <span style=\"color: #ff0000;\">points<\/span> ')\nassists_df = assists. <span style=\"color: #3366ff;\">to_frame<\/span> (name=' <span style=\"color: #ff0000;\">assists<\/span> ')\n\n<span style=\"color: #008080;\">#concatenate three Series into one DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">concat<\/span> ([name_df, points_df, assists_df], axis= <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#view final DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  name points assists\n0 to 34 8\n1 B 20 12\n2 C 21 14\n3 D 57 9\n4 E 68 11<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u8fd9\u4e09\u4e2a\u7cfb\u5217\u5747\u8868\u793a\u4e3a\u6700\u7ec8 DataFrame \u4e2d\u7684\u5217\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 2\uff1a\u4f7f\u7528\u7cfb\u5217\u4f5c\u4e3a\u884c\u521b\u5efa Pandas DataFrame<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b\u4e09\u4e2a\u718a\u732b\u7cfb\u5217\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008080;\">\n<span style=\"color: #000000;\"><span style=\"color: #008080;\">#define three Series\n<\/span>row1 = pd. <span style=\"color: #3366ff;\">Series<\/span> (['A', 34, 8])\nrow2 = pd. <span style=\"color: #3366ff;\">Series<\/span> (['B', 20, 12])\nrow3 = pd. <span style=\"color: #3366ff;\">Series<\/span> (['C', 21, 14])\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u5c06\u6bcf\u4e2a\u7cfb\u5217\u7ec4\u5408\u6210\u4e00\u4e2a pandas DataFrame\uff0c\u5c06\u6bcf\u4e2a\u7cfb\u5217\u7528\u4f5c DataFrame \u4e2d\u7684\u4e00\u884c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create DataFrame using Series as rows\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ([row1, row2, row3])\n\n<span style=\"color: #008080;\">#create column names for DataFrame\n<\/span>df. <span style=\"color: #3366ff;\">columns<\/span> = [' <span style=\"color: #ff0000;\">col1<\/span> ', ' <span style=\"color: #ff0000;\">col2<\/span> ', ' <span style=\"color: #ff0000;\">col3<\/span> ']\n\n<span style=\"color: #008080;\">#view resulting DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n\tcol1 col2 col3\n0 to 34 8\n1 B 20 12\n2 C 21 14\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u8fd9\u4e09\u4e2a\u7cfb\u5217\u5728\u6700\u7ec8 DataFrame \u4e2d\u5747\u8868\u793a\u4e3a\u884c\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u64cd\u4f5c\uff1a<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/cn\/\u5c06-pandas-\u7cfb\u5217\u8f6c\u6362\u4e3a-dataframe\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5c06 Pandas \u7cfb\u5217\u8f6c\u6362\u4e3a DataFrame<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u7cfb\u5217-numpy-\u8868\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5c06 Pandas \u7cfb\u5217\u8f6c\u6362\u4e3a NumPy \u6570\u7ec4<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/numpy-\u6570\u7ec4\u5230-pandas-\u6570\u636e\u6846\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5c06 NumPy \u6570\u7ec4\u8f6c\u6362\u4e3a Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u4ece\u4e00\u4e2a\u6216\u591a\u4e2a pandas \u7cfb\u5217\u521b\u5efa pandas DataFrame\u3002 \u4ee5\u4e0b\u793a\u4f8b\u6f14\u793a\u5982\u4f55\u4f7f\u7528 [&hellip;]<\/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-2379","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u4ece\u7cfb\u5217\u521b\u5efa Pandas \u6570\u636e\u6846\uff08\u5e26\u6709\u793a\u4f8b\uff09 - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u4ece pandas \u7cfb\u5217\u521b\u5efa pandas DataFrame\u3002\" \/>\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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