{"id":1517,"date":"2023-07-26T01:39:06","date_gmt":"2023-07-26T01:39:06","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e6%af%94%e8%be%83-pandas-%e4%b8%ad%e7%9a%84%e4%b8%a4%e5%88%97\/"},"modified":"2023-07-26T01:39:06","modified_gmt":"2023-07-26T01:39:06","slug":"%e6%af%94%e8%be%83-pandas-%e4%b8%ad%e7%9a%84%e4%b8%a4%e5%88%97","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e6%af%94%e8%be%83-pandas-%e4%b8%ad%e7%9a%84%e4%b8%a4%e5%88%97\/","title":{"rendered":"\u5982\u4f55\u6bd4\u8f83 pandas \u4e2d\u7684\u4e24\u5217\uff1a\u4e3e\u4f8b"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u60f3\u8981\u6bd4\u8f83 Pandas DataFrame \u4e2d\u7684\u4e24\u5217\u5e76\u5c06\u6bd4\u8f83\u7ed3\u679c\u5199\u5165\u7b2c\u4e09\u5217\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u8f7b\u677e\u5b8c\u6210\u6b64\u64cd\u4f5c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>conditions=[(condition1),(condition2)]\nchoices=[\" <span style=\"color: #008000;\">choice1<\/span> \",\" <span style=\"color: #008000;\">choice2<\/span> \"]\n\ndf[\" <span style=\"color: #008000;\">new_column_name<\/span> \"]=np. <span style=\"color: #3366ff;\">select<\/span> (conditions, choices, default)\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8fd9\u6bb5\u4ee3\u7801\u7684\u4f5c\u7528\u5982\u4e0b\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u6761\u4ef6<\/strong>\u662f\u5728\u4e24\u5217\u4e4b\u95f4\u68c0\u67e5\u7684\u6761\u4ef6<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>choice<\/strong>\u662f\u6839\u636e\u6761\u4ef6\u8fd4\u56de\u7684\u7ed3\u679c<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>np.select<\/strong>\u7528\u4e8e\u8fd4\u56de\u65b0\u5217\u4e2d\u7684\u7ed3\u679c<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u4ee3\u7801\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u6bd4\u8f83 Pandas \u4e2d\u7684\u4e24\u5217<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b DataFrame\uff0c\u663e\u793a\u4e24\u652f\u8db3\u7403\u961f\u5728\u4e94\u573a\u4e0d\u540c\u6bd4\u8d5b\u4e2d\u7684\u8fdb\u7403\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #008000;\">A_points<\/span> ': [1, 3, 3, 3, 5],\n                   ' <span style=\"color: #008000;\">B_points<\/span> ': [4, 5, 2, 3, 2]})\n             \n<span style=\"color: #008080;\">#view DataFrame      \n<\/span>df\n\n          A_points B_points\n0 1 4\n1 3 5\n2 3 2\n3 3 3\n4 5 2\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u6bd4\u8f83\u6bcf\u884c\u7684\u8fdb\u7403\u6570\uff0c\u5e76\u5728\u7b2c\u4e09\u5217\u4e2d\u663e\u793a\u6bd4\u8d5b\u83b7\u80dc\u8005\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define conditions<\/span>\nconditions = [df[' <span style=\"color: #008000;\">A_points<\/span> '] &gt; df[' <span style=\"color: #008000;\">B_points<\/span> '], \n              df[' <span style=\"color: #008000;\">A_points<\/span> '] &lt; df[' <span style=\"color: #008000;\">B_points<\/span> ']]\n\n<span style=\"color: #008080;\">#define choices\n<\/span>choices = [' <span style=\"color: #008000;\">A<\/span> ', ' <span style=\"color: #008000;\">B<\/span> ']\n\n<span style=\"color: #008080;\">#create new column in DataFrame that displays results of comparisons\n<\/span>df[' <span style=\"color: #008000;\">winner<\/span> '] = np. <span style=\"color: #3366ff;\">select<\/span> (conditions, choices, default=' <span style=\"color: #008000;\">Tie<\/span> ')\n\n<span style=\"color: #008080;\">#view the DataFrame\n<\/span>df\n\n          A_points B_points winner\n0 1 4 B\n1 3 5 B\n2 3 2 A\n3 3 3 Tie\n4 5 2 A<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6bd4\u8f83\u7ed3\u679c\u663e\u793a\u5728\u540d\u4e3a<em>Winner<\/em>\u7684\u65b0\u5217\u4e2d\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u8bc4\u8bba<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6bd4\u8f83 pandas DataFrame \u4e2d\u7684\u4e24\u5217\u65f6\u9700\u8981\u8bb0\u4f4f\u4ee5\u4e0b\u51e0\u70b9\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u6761\u4ef6<\/strong>\u548c<strong>\u9009\u62e9<\/strong>\u7684\u6570\u91cf\u5fc5\u987b\u76f8\u7b49\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u9ed8\u8ba4\u503c<\/strong>\u6307\u5b9a\u5728\u4e0d\u6ee1\u8db3\u4efb\u4f55\u6761\u4ef6\u65f6\u8981\u5728\u65b0\u5217\u4e2d\u663e\u793a\u7684\u503c\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u6b64\u4ee3\u7801\u9700\u8981<strong>NumPy<\/strong>\u548c<strong>Pandas<\/strong>\u624d\u80fd\u8fd0\u884c\u3002<\/span><\/li>\n<\/ul>\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-\u91cd\u547d\u540d\u5217\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u91cd\u547d\u540d Pandas \u4e2d\u7684\u5217<\/a><br \/>\u5982\u4f55\u5411 Pandas DataFrame \u6dfb\u52a0\u5217<br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u6539\u53d8\u5217\u7684\u987a\u5e8f\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u66f4\u6539 Pandas DataFrame \u4e2d\u7684\u5217\u987a\u5e8f<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u60f3\u8981\u6bd4\u8f83 Pandas DataFrame \u4e2d\u7684\u4e24\u5217\u5e76\u5c06\u6bd4\u8f83\u7ed3\u679c\u5199\u5165\u7b2c\u4e09\u5217\u3002 \u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u8f7b [&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-1517","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\/ 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