{"id":3722,"date":"2023-07-15T22:47:03","date_gmt":"2023-07-15T22:47:03","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e8%8e%b7%e5%8f%96%e4%b8%8d%e5%9c%a8%e5%85%b6%e4%bb%96%e6%95%b0%e6%8d%ae%e6%a1%86%e4%b8%ad%e7%9a%84%e8%a1%8c\/"},"modified":"2023-07-15T22:47:03","modified_gmt":"2023-07-15T22:47:03","slug":"pandas-%e8%8e%b7%e5%8f%96%e4%b8%8d%e5%9c%a8%e5%85%b6%e4%bb%96%e6%95%b0%e6%8d%ae%e6%a1%86%e4%b8%ad%e7%9a%84%e8%a1%8c","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e8%8e%b7%e5%8f%96%e4%b8%8d%e5%9c%a8%e5%85%b6%e4%bb%96%e6%95%b0%e6%8d%ae%e6%a1%86%e4%b8%ad%e7%9a%84%e8%a1%8c\/","title":{"rendered":"Pandas\uff1a\u83b7\u53d6\u4e0d\u5728\u53e6\u4e00\u4e2a dataframe \u4e2d\u7684\u884c"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u4ece pandas DataFrame \u4e2d\u83b7\u53d6\u4e0d\u5728\u53e6\u4e00\u4e2a DataFrame \u4e2d\u7684\u884c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#merge two DataFrames and create indicator column<\/span>\ndf_all = df1. <span style=\"color: #3366ff;\">merge<\/span> ( <span style=\"color: #3366ff;\">df2.drop_duplicates<\/span> (), on=[' <span style=\"color: #ff0000;\">col1<\/span> ',' <span style=\"color: #ff0000;\">col2<\/span> '],\n                   how=' <span style=\"color: #ff0000;\">left<\/span> ', indicator= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#create DataFrame with rows that exist in first DataFrame only<\/span>\ndf1_only = df_all[df_all[' <span style=\"color: #ff0000;\">_merge<\/span> '] == ' <span style=\"color: #ff0000;\">left_only<\/span> ']<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u8bed\u6cd5\u3002<\/span><\/p>\n<h2><strong>\u793a\u4f8b\uff1a\u83b7\u53d6 Pandas DataFrame \u4e2d\u4e0d\u5728\u53e6\u4e00\u4e2a DataFrame \u4e2d\u7684\u884c<\/strong><\/h2>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b\u4e24\u4e2a panda DataFrame\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\n<span style=\"color: #008080;\">#create first DataFrame\n<span style=\"color: #000000;\">df1 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'D', 'E'], \n                    ' <span style=\"color: #ff0000;\">points<\/span> ': [12, 15, 22, 29, 24]}) \n\n<span style=\"color: #008000;\">print<\/span> (df1)\n\n  team points\n0 to 12\n1 B 15\n2 C 22\n3 D 29\n4 E 24\n\n<span style=\"color: #008080;\">#create second DataFrame\n<\/span>df2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'D', 'F', 'G', 'H'],\n                    ' <span style=\"color: #ff0000;\">points<\/span> ': [12, 29, 15, 19, 10]})\n\n<span style=\"color: #008000;\">print<\/span> (df2)\n\n  team points\n0 to 12\n1 D 29\n2 F 15\n3 G 19\n4:10 a.m.\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u5408\u5e76\u4e24\u4e2a DataFrame \u5e76\u521b\u5efa\u4e00\u4e2a\u6307\u793a\u7b26\u5217\u6765\u6307\u793a\u54ea\u4e9b\u884c\u5c5e\u4e8e\u6bcf\u4e2a DataFrame\uff1a<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#merge two DataFrames and create indicator column\n<\/span>df_all = df1. <span style=\"color: #3366ff;\">merge<\/span> ( <span style=\"color: #3366ff;\">df2.drop_duplicates<\/span> (), on=[' <span style=\"color: #ff0000;\">team<\/span> ',' <span style=\"color: #ff0000;\">points<\/span> '],\n                   how=' <span style=\"color: #ff0000;\">left<\/span> ', indicator= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#view result\n<\/span><span style=\"color: #008000;\">print<\/span> (df_all)<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u7136\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u4ec5\u83b7\u53d6\u7b2c\u4e00\u4e2a DataFrame \u4e2d\u4e0d\u5728\u7b2c\u4e8c\u4e2a DataFrame \u4e2d\u7684\u884c\uff1a<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create DataFrame with rows that exist in first DataFrame only\n<\/span>df1_only = df_all[df_all[' <span style=\"color: #ff0000;\">_merge<\/span> '] == ' <span style=\"color: #ff0000;\">left_only<\/span> ']\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df1_only)\n\n  team points _merge\n1 B 15 left_only\n2 C 22 left_only\n4 E 24 left_only\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6700\u540e\uff0c\u5982\u679c\u9700\u8981\uff0c\u6211\u4eec\u53ef\u4ee5\u5220\u9664<strong>_merge<\/strong>\u5217\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;\">#drop '_merge' column\n<\/span>df1_only = df1_only. <span style=\"color: #3366ff;\">drop<\/span> (' <span style=\"color: #ff0000;\">_merge<\/span> ', axis= <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df1_only)\n\n  team points\n1 B 15\n2 C 22\n4 E 24<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u7ed3\u679c\u662f\u4e00\u4e2a DataFrame\uff0c\u5176\u4e2d\u6240\u6709\u884c\u90fd\u5b58\u5728\u4e8e\u7b2c\u4e00\u4e2a DataFrame \u4e2d\uff0c\u4f46\u4e0d\u5b58\u5728\u4e8e\u7b2c\u4e8c\u4e2a DataFrame \u4e2d\u3002<\/span><\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 pandas \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/cn\/pandas-\u5c06\u4e00\u5217\u4ece\u4e00\u4e2a\u6570\u636e\u5e27\u6dfb\u52a0\u5230\u53e6\u4e00\u4e2a\u6570\u636e\u5e27\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Pandas \u4e2d\u5c06\u4e00\u4e2a DataFrame \u4e2d\u7684\u5217\u6dfb\u52a0\u5230\u53e6\u4e00\u4e2a DataFrame<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u6539\u53d8\u5217\u7684\u987a\u5e8f\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u66f4\u6539 Pandas \u4e2d\u7684\u5217\u987a\u5e8f<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u6309\u540d\u79f0\u5bf9\u5217\u8fdb\u884c\u6392\u5e8f\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Pandas \u4e2d\u6309\u540d\u79f0\u5bf9\u5217\u8fdb\u884c\u6392\u5e8f<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u4ece pandas DataFrame \u4e2d\u83b7\u53d6\u4e0d\u5728\u53e6\u4e00\u4e2a DataFrame \u4e2d\u7684\u884c\uff1a # [&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-3722","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This 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