{"id":3544,"date":"2023-07-16T22:37:35","date_gmt":"2023-07-16T22:37:35","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e5%88%9b%e5%bb%ba%e9%87%8d%e5%a4%8d%e5%88%97\/"},"modified":"2023-07-16T22:37:35","modified_gmt":"2023-07-16T22:37:35","slug":"pandas-%e5%88%9b%e5%bb%ba%e9%87%8d%e5%a4%8d%e5%88%97","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e5%88%9b%e5%bb%ba%e9%87%8d%e5%a4%8d%e5%88%97\/","title":{"rendered":"\u5982\u4f55\u5728 pandas dataframe \u4e2d\u521b\u5efa\u91cd\u590d\u5217"},"content":{"rendered":"

<\/p>\n

\n

\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5728 pandas DataFrame \u4e2d\u521b\u5efa\u91cd\u590d\u5217\uff1a<\/span><\/p>\n

 df[' my_column_duplicate<\/span> '] = df. loc<\/span> [:, ' my_column<\/span> ']\n<\/strong><\/pre>\n
\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u8bed\u6cd5\u3002<\/span><\/p>\n
\u793a\u4f8b\uff1a\u5728 Pandas DataFrame \u4e2d\u521b\u5efa\u91cd\u590d\u5217<\/strong><\/span><\/h2>\n
\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff1a<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29, 32],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4, 5],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12, 8]})\n\n#view DataFrame\n<\/span>print<\/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\n5 23 9 5\n6 25 9 9\n7 29 4 12\n8 32 5 8\n<\/strong><\/pre>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u521b\u5efa\u70b9<\/strong>\u5217\u7684\u526f\u672c\u5e76\u5c06\u5176\u547d\u540d\u4e3apoints_duplicate<\/strong> \uff1a<\/span><\/span><\/p>\n
 #create duplicate points column\n<\/span>df[' duplicate_points<\/span> '] = df. loc<\/span> [:, ' points<\/span> ']\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n   points assists rebounds points_duplicate\n0 25 5 11 25\n1 12 7 8 12\n2 15 7 10 15\n3 14 9 6 14\n4 19 12 6 19\n5 23 9 5 23\n6 25 9 9 25\n7 29 4 12 29\n8 32 5 8 32<\/span><\/span><\/strong><\/pre>\n
\u8bf7\u6ce8\u610f\uff0c points_duplicate<\/strong>\u5217\u5305\u542b\u4e0e\u70b9<\/strong>\u5217\u5b8c\u5168\u76f8\u540c\u7684\u503c\u3002<\/span><\/p>\n
\u8bf7\u6ce8\u610f\uff0c\u91cd\u590d\u5217\u5fc5\u987b\u5177\u6709\u4e0e\u539f\u59cb\u5217\u4e0d\u540c\u7684\u5217\u540d\uff0c\u5426\u5219\u5c06\u4e0d\u4f1a\u521b\u5efa\u91cd\u590d\u5217\u3002<\/span><\/p>\n
\u4f8b\u5982\uff0c\u5982\u679c\u6211\u4eec\u5c1d\u8bd5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u521b\u5efa\u91cd\u590d\u5217\uff0c\u5b83\u5c06\u4e0d\u8d77\u4f5c\u7528\uff1a<\/span><\/p>\n
 #attempt to create duplicate points column\n<\/span>df[' points<\/span> '] = df. loc<\/span> [:, ' points<\/span> ']\n\n#view updated DataFrame\n<\/span>print<\/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\n5 23 9 5\n6 25 9 9\n7 29 4 12\n8 32 5 8\n<\/span><\/span><\/strong><\/pre>\n
\u6ca1\u6709\u521b\u5efa\u91cd\u590d\u7684\u5217\u3002<\/span><\/p>\n
\u91cd\u590d\u5217\u7684\u5217\u540d\u5fc5\u987b\u4e0e\u539f\u59cb\u5217\u4e0d\u540c\u3002<\/span><\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n
\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 pandas \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u64cd\u4f5c\uff1a<\/span><\/p>\n
\u5982\u4f55\u6253\u5370\u6ca1\u6709\u7d22\u5f15\u7684 Pandas DataFrame<\/a>
\u5982\u4f55\u663e\u793a Pandas DataFrame \u4e2d\u7684\u6240\u6709\u884c<\/a>
\u5982\u4f55\u68c0\u67e5 Pandas DataFrame \u4e2d\u6240\u6709\u5217\u7684\u7c7b\u578b<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5728 pandas DataFrame \u4e2d\u521b\u5efa\u91cd\u590d\u5217\uff1a df[‘ my_column_du […]<\/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-3544","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u5728 Pandas DataFrame \u4e2d\u521b\u5efa\u91cd\u590d\u5217 - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 pandas DataFrame \u4e2d\u521b\u5efa\u91cd\u590d\u5217\u3002\" \/>\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\/cn\/pandas-\u521b\u5efa\u91cd\u590d\u5217\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5982\u4f55\u5728 Pandas DataFrame \u4e2d\u521b\u5efa\u91cd\u590d\u5217 - 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