{"id":1366,"date":"2023-07-26T16:51:03","date_gmt":"2023-07-26T16:51:03","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e5%88%97%e4%b8%ad%e7%9a%84%e5%94%af%e4%b8%80%e5%80%bc\/"},"modified":"2023-07-26T16:51:03","modified_gmt":"2023-07-26T16:51:03","slug":"pandas-%e5%88%97%e4%b8%ad%e7%9a%84%e5%94%af%e4%b8%80%e5%80%bc","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e5%88%97%e4%b8%ad%e7%9a%84%e5%94%af%e4%b8%80%e5%80%bc\/","title":{"rendered":"Pandas\uff1a\u5982\u4f55\u67e5\u627e\u5217\u4e2d\u7684\u552f\u4e00\u503c"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u83b7\u53d6 Pandas DataFrame \u5217\u4e2d\u552f\u4e00\u503c\u5217\u8868\u7684\u6700\u7b80\u5355\u65b9\u6cd5\u662f\u4f7f\u7528<a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.Series.unique.html\" target=\"_blank\" rel=\"noopener\">unique()<\/a>\u51fd\u6570\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u63d0\u4f9b\u4e86\u51e0\u4e2a\u5c06\u6b64\u51fd\u6570\u4e0e\u4ee5\u4e0b pandas DataFrame \u7ed3\u5408\u4f7f\u7528\u7684\u793a\u4f8b\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<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #008000;\">team<\/span> ': ['A', 'A', 'A', 'B', 'B', 'C'],\n                   ' <span style=\"color: #008000;\">conference<\/span> ': ['East', 'East', 'East', 'West', 'West', 'East'],\n                   ' <span style=\"color: #008000;\">points<\/span> ': [11, 8, 10, 6, 6, 5]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n        team conference points\n0 A East 11\n1 A East 8\n2 A East 10\n3 B West 6\n4 B West 6\n5 C East 5<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u67e5\u627e\u5217\u4e2d\u7684\u552f\u4e00\u503c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5728DataFrame\u7684\u5355\u5217\u4e2d\u67e5\u627e\u552f\u4e00\u503c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">team<\/span> . <span style=\"color: #3366ff;\">single<\/span> ()\n\narray(['A', 'B', 'C'], dtype=object)<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u56e2\u961f\u680f\u4e2d\u7684\u552f\u4e00\u503c\u5305\u62ec\u201cA\u201d\u3001\u201cB\u201d\u548c\u201cC\u201d\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u67e5\u627e\u6240\u6709\u5217\u4e2d\u7684\u552f\u4e00\u503c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5728DataFrame\u7684\u6240\u6709\u5217\u4e2d\u67e5\u627e\u552f\u4e00\u503c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">for<\/span> col <span style=\"color: #008000;\">in<\/span> df:\n  <span style=\"color: #008000;\">print<\/span> (df[col] <span style=\"color: #3366ff;\">.unique<\/span> ())\n\n['A' 'B' 'C']\n['East' 'West']\n[11 8 10 6 5]\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u67e5\u627e\u5217\u4e2d\u7684\u552f\u4e00\u503c\u5e76\u5bf9\u5176\u8fdb\u884c\u6392\u5e8f<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5728 DataFrame \u7684\u5355\u5217\u4e2d\u6309\u552f\u4e00\u503c\u8fdb\u884c\u641c\u7d22\u548c\u6392\u5e8f\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find unique points values<\/span>\npoints = df. <span style=\"color: #3366ff;\">points<\/span> . <span style=\"color: #3366ff;\">single<\/span> ()\n\n<span style=\"color: #008080;\">#sort values smallest to largest<\/span>\npoints. <span style=\"color: #3366ff;\">sort<\/span> ()\n\n<span style=\"color: #008080;\">#display sorted values<\/span>\npoints\n\narray([ 5, 6, 8, 10, 11])\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u67e5\u627e\u5e76\u8ba1\u7b97\u5217\u4e2d\u7684\u552f\u4e00\u503c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4e0b\u9762\u7684\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u67e5\u627e\u5e76\u7edf\u8ba1DataFrame\u5355\u5217\u4e2d\u552f\u4e00\u503c\u7684\u51fa\u73b0\u6b21\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">team<\/span> . <span style=\"color: #3366ff;\">value_counts<\/span> ()\n\nAt 3\nB2\nC 1\nName: team, dtype: int64\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u718a\u732b\u5355\u7ebf\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Pandas DataFrame \u4e2d\u9009\u62e9\u5355\u884c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u5355\u4e2a-pandas-\u591a\u5217\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728Pandas\u4e2d\u67e5\u627e\u591a\u5217\u4e2d\u7684\u552f\u4e00\u503c<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u83b7\u53d6 Pandas DataFrame \u5217\u4e2d\u552f\u4e00\u503c\u5217\u8868\u7684\u6700\u7b80\u5355\u65b9\u6cd5\u662f\u4f7f\u7528unique()\u51fd\u6570\u3002 \u672c\u6559\u7a0b\u63d0\u4f9b\u4e86\u51e0 [&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-1366","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\u5728\u5217\u4e2d\u67e5\u627e\u552f\u4e00\u503c \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u5728 Python \u4e2d\u67e5\u627e pandas DataFrame \u7684\u4e00\u5217\u6216\u591a\u5217\u4e2d\u7684\u6240\u6709\u552f\u4e00\u503c\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/cn\/pandas-\u5217\u4e2d\u7684\u552f\u4e00\u503c\/\" 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