{"id":3655,"date":"2023-07-16T07:44:59","date_gmt":"2023-07-16T07:44:59","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e6%a3%80%e6%9f%a5%e5%a4%9a%e5%88%97%e6%98%af%e5%90%a6%e7%9b%b8%e7%ad%89\/"},"modified":"2023-07-16T07:44:59","modified_gmt":"2023-07-16T07:44:59","slug":"pandas-%e6%a3%80%e6%9f%a5%e5%a4%9a%e5%88%97%e6%98%af%e5%90%a6%e7%9b%b8%e7%ad%89","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e6%a3%80%e6%9f%a5%e5%a4%9a%e5%88%97%e6%98%af%e5%90%a6%e7%9b%b8%e7%ad%89\/","title":{"rendered":"Pandas\uff1a\u5982\u4f55\u68c0\u67e5\u591a\u5217\u662f\u5426\u76f8\u7b49"},"content":{"rendered":"

<\/p>\n

\n

\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\u6765\u68c0\u67e5 pandas \u4e2d\u7684\u591a\u5217\u662f\u5426\u76f8\u7b49\uff1a<\/span><\/p>\n

\u65b9\u6cd5\u4e00\uff1a\u68c0\u67e5\u6240\u6709\u5217\u662f\u5426\u76f8\u7b49<\/strong><\/span><\/p>\n

 df[' matching<\/span> '] = df. eq<\/span> (df. iloc<\/span> [:, 0], axis= 0<\/span> ). all<\/span> (1)\n<\/strong><\/pre>\n
\u65b9\u6cd52\uff1a\u68c0\u67e5\u7279\u5b9a\u5217\u662f\u5426\u76f8\u7b49<\/strong><\/span><\/p>\n
 df[' matching<\/span> '] = df. apply<\/span> ( lambda<\/span> x: x.col1<\/span> == x.col3<\/span> == x.col4<\/span> , axis= 1<\/span> )<\/strong><\/pre>\n
\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u4ee5\u4e0b pandas DataFrame \u7684\u6bcf\u79cd\u65b9\u6cd5\uff1a<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' A<\/span> ': [4, 0, 3, 3, 6, 8, 7],\n                   ' B<\/span> ': [4, 2, 3, 5, 6, 4, 7],\n                   ' C<\/span> ': [4, 0, 3, 3, 5, 10, 7],\n                   ' D<\/span> ': [4, 0, 3, 3, 3, 8, 7]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   ABCD\n0 4 4 4 4\n1 0 2 0 0\n2 3 3 3 3\n3 3 5 3 3\n4 6 6 5 3\n5 8 4 10 8\n6 7 7 7 7\n<\/strong><\/pre>\n
\u793a\u4f8b 1\uff1a\u68c0\u67e5\u6240\u6709\u5217\u662f\u5426\u76f8\u7b49<\/strong><\/span><\/h2>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u68c0\u67e5 DataFrame \u4e2d\u6bcf\u5217\u7684\u503c\u5bf9\u4e8e\u6bcf\u884c\u662f\u5426\u76f8\u7b49\uff1a<\/span><\/p>\n
 #create new column that checks if all columns match in each row\n<\/span>df[' matching<\/span> '] = df. eq<\/span> (df. iloc<\/span> [:, 0], axis= 0<\/span> ). all<\/span> (1)\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n   ABCD matching\n0 4 4 4 4 True\n1 0 2 0 0 False\n2 3 3 3 3 True\n3 3 5 3 3 False\n4 6 6 5 3 False\n5 8 4 10 8 False\n6 7 7 7 7 True\n<\/strong><\/pre>\n
\u5982\u679c\u6bcf\u5217\u7684\u503c\u76f8\u7b49\uff0c\u5219\u76f8\u5e94\u7684\u5217\u8fd4\u56deTrue<\/strong> \u3002<\/span><\/p>\n
\u5426\u5219\uff0c\u5b83\u8fd4\u56deFalse<\/strong> \u3002<\/span><\/p>\n
\u8bf7\u6ce8\u610f\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528astype(int)<\/strong>\u5c06True<\/strong>\u548cFalse<\/strong>\u503c\u8f6c\u6362\u4e3a1<\/strong>\u548c0<\/strong> \uff0c\u5982\u4e0b\u6240\u793a\uff1a<\/span><\/p>\n
 #create new column that checks if all columns match in each row\n<\/span>df[' matching<\/span> '] = df. eq<\/span> (df. iloc<\/span> [:, 0], axis= 0<\/span> ). all<\/span> (1). astype<\/span> (int)\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n   ABCD matching\n0 4 4 4 4 1\n1 0 2 0 0 0\n2 3 3 3 3 1\n3 3 5 3 3 0\n4 6 6 5 3 0\n5 8 4 10 8 0\n6 7 7 7 7 1\n<\/strong><\/pre>\n
\u793a\u4f8b 2\uff1a\u68c0\u67e5\u7279\u5b9a\u5217\u662f\u5426\u76f8\u7b49<\/strong><\/span><\/h2>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u68c0\u67e5 DataFrame \u7684 A\u3001C \u548c D \u5217\u4e2d\u6bcf\u884c\u7684\u503c\u662f\u5426\u76f8\u7b49\uff1a<\/span><\/p>\n
 #create new column that checks if values in columns A, C, and D are equal\n<\/span>df[' matching<\/span> '] = df. apply<\/span> ( lambda<\/span> x: x. A<\/span> == x. C<\/span> == x. D<\/span> , axis= 1<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n   ABCD matching\n0 4 4 4 4 True\n1 0 2 0 0 True\n2 3 3 3 3 True\n3 3 5 3 3 True\n4 6 6 5 3 False\n5 8 4 10 8 False\n6 7 7 7 7 True\n<\/strong><\/pre>\n
\u5982\u679c A\u3001C \u548c D \u5217\u4e2d\u7684\u503c\u76f8\u7b49\uff0c\u5219\u76f8\u5e94\u5217\u8fd4\u56deTrue<\/strong> \u3002<\/span><\/p>\n
\u5426\u5219\uff0c\u5b83\u8fd4\u56deFalse<\/strong> \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\u4efb\u52a1\uff1a<\/span><\/p>\n
\u5982\u4f55\u91cd\u547d\u540d Pandas \u4e2d\u7684\u5217<\/a>
\u5982\u4f55\u5411 Pandas DataFrame \u6dfb\u52a0\u5217
\u5982\u4f55\u66f4\u6539 Pandas DataFrame \u4e2d\u7684\u5217\u987a\u5e8f<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\u6765\u68c0\u67e5 pandas \u4e2d\u7684\u591a\u5217\u662f\u5426\u76f8\u7b49\uff1a \u65b9\u6cd5\u4e00\uff1a\u68c0\u67e5\u6240\u6709\u5217\u662f\u5426\u76f8\u7b49 df[‘ matchi […]<\/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-3655","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\nPandas\uff1a\u5982\u4f55\u68c0\u67e5\u591a\u5217\u662f\u5426\u76f8\u7b49 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u68c0\u67e5 pandas \u4e2d\u7684\u591a\u5217\u662f\u5426\u76f8\u7b49\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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