{"id":3728,"date":"2023-07-15T21:54:45","date_gmt":"2023-07-15T21:54:45","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e6%a0%b9%e6%8d%ae%e5%87%a0%e4%b8%aa%e6%9d%a1%e4%bb%b6%e5%88%9b%e5%bb%ba%e4%b8%80%e4%b8%aa%e6%96%b0%e5%88%97-if-else\/"},"modified":"2023-07-15T21:54:45","modified_gmt":"2023-07-15T21:54:45","slug":"pandas-%e6%a0%b9%e6%8d%ae%e5%87%a0%e4%b8%aa%e6%9d%a1%e4%bb%b6%e5%88%9b%e5%bb%ba%e4%b8%80%e4%b8%aa%e6%96%b0%e5%88%97-if-else","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e6%a0%b9%e6%8d%ae%e5%87%a0%e4%b8%aa%e6%9d%a1%e4%bb%b6%e5%88%9b%e5%bb%ba%e4%b8%80%e4%b8%aa%e6%96%b0%e5%88%97-if-else\/","title":{"rendered":"Pandas\uff1a\u4f7f\u7528\u591a\u4e2a if else \u6761\u4ef6\u521b\u5efa\u65b0\u5217"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u5728 pandas DataFrame \u4e2d\u4f7f\u7528\u591a\u4e2a if else \u6761\u4ef6\u521b\u5efa\u65b0\u5217\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define conditions\n<\/span>conditions = [\n    (df[' <span style=\"color: #ff0000;\">column1<\/span> '] == ' <span style=\"color: #ff0000;\">A<\/span> ') &amp; (df[' <span style=\"color: #ff0000;\">column2<\/span> '] &lt; <span style=\"color: #008000;\">20<\/span> ),\n    (df[' <span style=\"color: #ff0000;\">column1<\/span> '] == ' <span style=\"color: #ff0000;\">A<\/span> ') &amp; (df[' <span style=\"color: #ff0000;\">column2<\/span> '] &gt;= <span style=\"color: #008000;\">20<\/span> ),\n    (df[' <span style=\"color: #ff0000;\">column1<\/span> '] == ' <span style=\"color: #ff0000;\">B<\/span> ') &amp; (df[' <span style=\"color: #ff0000;\">column2<\/span> '] &lt; <span style=\"color: #008000;\">20<\/span> ),\n    (df[' <span style=\"color: #ff0000;\">column1<\/span> '] == ' <span style=\"color: #ff0000;\">B<\/span> ') &amp; (df[' <span style=\"color: #ff0000;\">column2<\/span> '] &gt;= <span style=\"color: #008000;\">20<\/span> )\n]\n\n<span style=\"color: #008080;\">#define results\n<\/span>results = [' <span style=\"color: #ff0000;\">result1<\/span> ', ' <span style=\"color: #ff0000;\">result2<\/span> ', ' <span style=\"color: #ff0000;\">result3<\/span> ', ' <span style=\"color: #ff0000;\">result4<\/span> ']\n\n<span style=\"color: #008080;\">#create new column based on conditions in column1 and column2\n<\/span>df[' <span style=\"color: #ff0000;\">new_column<\/span> '] = np. <span style=\"color: #3366ff;\">select<\/span> (conditions, results)\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b64\u7279\u5b9a\u793a\u4f8b\u521b\u5efa\u4e00\u4e2a\u540d\u4e3a<strong>new_column<\/strong>\u7684\u5217\uff0c\u5176\u503c\u57fa\u4e8e DataFrame \u4e2d\u7684<strong>column1<\/strong>\u548c<strong>column2<\/strong>\u7684\u503c\u3002<\/span><\/p>\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><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u5728 Pandas \u4e2d\u4f7f\u7528\u591a\u4e2a If else \u6761\u4ef6\u521b\u5efa\u65b0\u5217<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff0c\u5176\u4e2d\u5305\u542b\u6709\u5173\u5404\u79cd\u7bee\u7403\u8fd0\u52a8\u5458\u7684\u4fe1\u606f\uff1a<\/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\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [15, 18, 22, 24, 12, 17, 20, 28]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points\n0 to 15\n1 to 18\n2 to 22\n3 to 24\n4 B 12\n5 B 17\n6 B 20\n7 B 28\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u73b0\u5728\u5047\u8bbe\u6211\u4eec\u8981\u521b\u5efa\u4e00\u4e2a\u540d\u4e3a<strong>class<\/strong>\u7684\u65b0\u5217\uff0c\u8be5\u5217\u5c06\u6bcf\u4e2a\u73a9\u5bb6\u5206\u4e3a\u4ee5\u4e0b\u56db\u7ec4\u4e4b\u4e00\uff1a<\/span><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>Bad_A<\/strong>\u5982\u679c\u7403\u961f\u662f A \u5e76\u4e14\u5f97\u5206 &lt; 20<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Good_A<\/strong>\u5982\u679c\u7403\u961f\u4e3a A \u4e14\u5f97\u5206 \u2265 20<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Bad_B<\/strong>\u5982\u679c\u7403\u961f\u662f B \u5e76\u4e14\u5f97\u5206 &lt; 20<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Good_B<\/strong>\u5982\u679c\u7403\u961f\u4e3a B \u4e14\u5f97\u5206 \u2265 20<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u505a\u5230\u8fd9\u4e00\u70b9\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np<\/span>\n\n#define conditions\n<\/span>conditions = [\n    (df[' <span style=\"color: #ff0000;\">team<\/span> '] == ' <span style=\"color: #ff0000;\">A<\/span> ') &amp; (df[' <span style=\"color: #ff0000;\">points<\/span> '] &lt; <span style=\"color: #008000;\">20<\/span> ),\n    (df[' <span style=\"color: #ff0000;\">team<\/span> '] == ' <span style=\"color: #ff0000;\">A<\/span> ') &amp; (df[' <span style=\"color: #ff0000;\">points<\/span> '] &gt;= <span style=\"color: #008000;\">20<\/span> ),\n    (df[' <span style=\"color: #ff0000;\">team<\/span> '] == ' <span style=\"color: #ff0000;\">B<\/span> ') &amp; (df[' <span style=\"color: #ff0000;\">points<\/span> '] &lt; <span style=\"color: #008000;\">20<\/span> ),\n    (df[' <span style=\"color: #ff0000;\">team<\/span> '] == ' <span style=\"color: #ff0000;\">B<\/span> ') &amp; (df[' <span style=\"color: #ff0000;\">points<\/span> '] &gt;= <span style=\"color: #008000;\">20<\/span> )\n]\n\n<span style=\"color: #008080;\">#define results\n<\/span>results = [' <span style=\"color: #ff0000;\">Bad_A<\/span> ', ' <span style=\"color: #ff0000;\">Good_A<\/span> ', ' <span style=\"color: #ff0000;\">Bad_B<\/span> ', ' <span style=\"color: #ff0000;\">Good_B<\/span> ']\n\n<span style=\"color: #008080;\">#create new column based on conditions in column1 and column2\n<\/span>df[' <span style=\"color: #ff0000;\">class<\/span> '] = np. <span style=\"color: #3366ff;\">select<\/span> (conditions, results)\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points class\n0 A 15 Bad_A\n1 A 18 Bad_A\n2 A 22 Good_A\n3 A 24 Good_A\n4 B 12 Bad_B\n5 B 17 Bad_B\n6 B 20 Good_B\n7 B 28 Good_B<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u540d\u4e3a\u201c<strong>\u7b49\u7ea7\u201d<\/strong>\u7684\u65b0\u5217\u6839\u636e<strong>\u7403\u961f<\/strong>\u548c<strong>\u79ef\u5206<\/strong>\u5217\u4e2d\u7684\u503c\u663e\u793a\u6bcf\u4e2a\u73a9\u5bb6\u7684\u6392\u540d\u3002<\/span><\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8\u610f<\/strong>\uff1a\u60a8\u53ef\u4ee5<a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.select.html\" target=\"_blank\" rel=\"noopener\">\u5728\u6b64\u5904<\/a>\u627e\u5230 NumPy <strong>select()<\/strong>\u51fd\u6570\u7684\u5b8c\u6574\u6587\u6863\u3002<\/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-\u6839\u636e\u6761\u4ef6\u521b\u5efa\u5e03\u5c14\u5217\/\" target=\"_blank\" rel=\"noopener\">Pandas\uff1a\u5982\u4f55\u6839\u636e\u6761\u4ef6\u521b\u5efa\u5e03\u5c14\u5217<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u8ba1\u7b97\u6709\u6761\u4ef6\u7684\u5217\u4e2d\u7684\u503c\/\" target=\"_blank\" rel=\"noopener\">Pandas\uff1a\u5982\u4f55\u8ba1\u7b97\u6709\u6761\u4ef6\u7684\u5217\u4e2d\u7684\u503c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-groupby-\u6709\u6761\u4ef6\u8ba1\u6570\/\" target=\"_blank\" rel=\"noopener\">Pandas\uff1a\u5982\u4f55\u4f7f\u7528 Groupby \u548c\u6709\u6761\u4ef6\u8ba1\u6570<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u5728 pandas DataFrame \u4e2d\u4f7f\u7528\u591a\u4e2a if else \u6761\u4ef6\u521b\u5efa\u65b0\u5217\uff1a #defi [&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-3728","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>Pandas\uff1a\u4f7f\u7528\u591a\u4e2a If Else \u6761\u4ef6\u521b\u5efa\u65b0\u5217 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u591a\u4e2a if else \u6761\u4ef6\uff08\u5305\u62ec\u793a\u4f8b\uff09\u5728 pandas 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