{"id":3700,"date":"2023-07-16T01:46:50","date_gmt":"2023-07-16T01:46:50","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e6%a0%b9%e6%8d%ae%e6%9d%a1%e4%bb%b6%e5%88%9b%e5%bb%ba%e5%b8%83%e5%b0%94%e5%88%97\/"},"modified":"2023-07-16T01:46:50","modified_gmt":"2023-07-16T01:46:50","slug":"pandas-%e6%a0%b9%e6%8d%ae%e6%9d%a1%e4%bb%b6%e5%88%9b%e5%bb%ba%e5%b8%83%e5%b0%94%e5%88%97","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e6%a0%b9%e6%8d%ae%e6%9d%a1%e4%bb%b6%e5%88%9b%e5%bb%ba%e5%b8%83%e5%b0%94%e5%88%97\/","title":{"rendered":"Pandas\uff1a\u5982\u4f55\u6839\u636e\u6761\u4ef6\u521b\u5efa\u5e03\u5c14\u5217"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5728 pandas DataFrame \u4e2d\u521b\u5efa\u57fa\u4e8e\u6761\u4ef6\u7684\u5e03\u5c14\u5217\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">boolean_column<\/span> '] = np. <span style=\"color: #3366ff;\">where<\/span> (df[' <span style=\"color: #ff0000;\">some_column<\/span> '] &gt; 15, <span style=\"color: #008000;\">True<\/span> , <span style=\"color: #008000;\">False<\/span> )\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b64\u7279\u5b9a\u8bed\u6cd5\u521b\u5efa\u4e00\u4e2a\u5177\u6709\u4e24\u4e2a\u53ef\u80fd\u503c\u7684\u65b0\u5e03\u5c14\u5217\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u5982\u679c<strong>some_column<\/strong>\u4e2d\u7684\u503c\u5927\u4e8e 15\uff0c<strong>\u5219\u4e3a True<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u5982\u679c<strong>some_column<\/strong>\u4e2d\u7684\u503c\u5c0f\u4e8e\u6216\u7b49\u4e8e 15\uff0c<strong>\u5219\u4e3a False<\/strong> \u3002<\/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\u8bed\u6cd5\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u6839\u636e Pandas \u4e2d\u7684\u6761\u4ef6\u521b\u5efa\u5e03\u5c14\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: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<span style=\"color: #000000;\">\ndf = 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> ': [5, 17, 7, 19, 12, 13, 9, 24]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points\n0 to 5\n1 to 17\n2 to 7\n3 to 19\n4 B 12\n5 B 13\n6 B 9\n7 B 24   \n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u521b\u5efa\u4e00\u4e2a\u540d\u4e3a<strong>good_player<\/strong>\u7684\u65b0\u5217\uff0c\u5982\u679c\u70b9\u5217\u4e2d\u7684\u503c\u5927\u4e8e 15\uff0c\u5219\u8be5\u5217\u8fd4\u56de<strong>True<\/strong> \uff0c\u5426\u5219\u8fd4\u56de<strong>False<\/strong> \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\n\n<span style=\"color: #008080;\">#create new boolean column based on value in points column\n<\/span>df[' <span style=\"color: #ff0000;\">good_player<\/span> '] = np. <span style=\"color: #3366ff;\">where<\/span> (df[' <span style=\"color: #ff0000;\">points<\/span> '] &gt; 15, <span style=\"color: #008000;\">True<\/span> , <span style=\"color: #008000;\">False<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points good_player\n0 To 5 False\n1 To 17 True\n2 To 7 False\n3 To 19 True\n4 B 12 False\n5 B 13 False\n6 B 9 False\n7 B 24 True<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u540d\u4e3a<strong>good_player \u7684<\/strong>\u65b0\u5217\u4ec5\u5305\u542b\u4e24\u4e2a\u503c\uff1a <strong>True<\/strong>\u6216<strong>False<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>dtypes()<\/strong>\u51fd\u6570\u6765\u9a8c\u8bc1\u65b0\u7684<strong>good_player<\/strong>\u5217\u786e\u5b9e\u662f\u5e03\u5c14\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: #008000;\"><span style=\"color: #008080;\">#display data type of good_player column<\/span>\n<\/span>df[' <span style=\"color: #ff0000;\">good_player<\/span> ']. <span style=\"color: #3366ff;\">dtype\n\n<\/span>dtype('bool')\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u65b0\u7684<strong>good_player<\/strong>\u5217\u786e\u5b9e\u662f\u4e00\u4e2a\u5e03\u5c14\u5217\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u53e6\u8bf7\u6ce8\u610f\uff0c\u5982\u679c\u9700\u8981\uff0c\u60a8\u53ef\u4ee5\u8fd4\u56de<strong>1<\/strong>\u548c<strong>0<\/strong>\u7b49\u6570\u5b57\u503c\uff0c\u800c\u4e0d\u662f<strong>True<\/strong>\u548c<strong>False<\/strong> \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\n\n<span style=\"color: #008080;\">#create new boolean column based on value in points column\n<\/span>df[' <span style=\"color: #ff0000;\">good_player<\/span> '] = np. <span style=\"color: #3366ff;\">where<\/span> (df[' <span style=\"color: #ff0000;\">points<\/span> '] &gt; 15, <span style=\"color: #008000;\">1<\/span> ,<\/span> <span style=\"color: #000000;\"><span style=\"color: #008000;\">0<\/span> <span style=\"color: #000000;\">)\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><\/span><span style=\"color: #008000;\">print<\/span> <span style=\"color: #000000;\">(df)\n\n  team points good_player\n0 to 5 0\n1 To 17 1\n2 to 7 0\n3 A 19 1\n4 B 12 0\n5 B 13 0\n6 B 9 0\n7 B 24 1\n<\/span><\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5982\u679c<strong>\u70b9<\/strong>\u5217\u4e2d\u7684\u76f8\u5e94\u503c\u5927\u4e8e 15\uff0c\u5219<strong>good_player<\/strong>\u5217\u73b0\u5728\u5305\u542b<strong>1<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5426\u5219\uff0c\u5b83\u5305\u542b\u503c<strong>0<\/strong> \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\u64cd\u4f5c\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/pandas-loc-\u591a\u4e2a\u6761\u4ef6\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Pandas \u4e2d\u6839\u636e\u591a\u4e2a\u6761\u4ef6\u9009\u62e9\u884c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u57fa\u4e8e\u5217\u521b\u5efa-pandas\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u6839\u636e Pandas \u4e2d\u7684\u6761\u4ef6\u521b\u5efa\u65b0\u5217<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u8fc7\u6ee4\u591a\u4e2a\u6761\u4ef6\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u6839\u636e\u591a\u4e2a\u6761\u4ef6\u8fc7\u6ee4 Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5728 pandas DataFrame \u4e2d\u521b\u5efa\u57fa\u4e8e\u6761\u4ef6\u7684\u5e03\u5c14\u5217\uff1a df[&#8216; boolean [&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-3700","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\u5982\u4f55\u6839\u636e\u6761\u4ef6\u521b\u5efa\u5e03\u5c14\u5217 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u6839\u636e pandas DataFrame \u4e2d\u7684\u6761\u4ef6\u521b\u5efa\u5e03\u5c14\u5217\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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