{"id":4256,"date":"2023-07-12T12:10:31","date_gmt":"2023-07-12T12:10:31","guid":{"rendered":"https:\/\/statorials.org\/cn\/seaborn%e7%ae%b1%e7%ba%bf%e5%9b%be%e7%9a%84%e5%b9%b3%e5%9d%87%e5%80%bc\/"},"modified":"2023-07-12T12:10:31","modified_gmt":"2023-07-12T12:10:31","slug":"seaborn%e7%ae%b1%e7%ba%bf%e5%9b%be%e7%9a%84%e5%b9%b3%e5%9d%87%e5%80%bc","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/seaborn%e7%ae%b1%e7%ba%bf%e5%9b%be%e7%9a%84%e5%b9%b3%e5%9d%87%e5%80%bc\/","title":{"rendered":"Seaborn\uff1a\u5982\u4f55\u5728\u7bb1\u7ebf\u56fe\u4e0a\u663e\u793a\u5e73\u5747\u503c"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528<strong>showmeans<\/strong>\u53c2\u6570\u6765\u663e\u793a\u4f7f\u7528 seaborn \u521b\u5efa\u7684\u7bb1\u7ebf\u56fe\u4e2d\u7684\u5e73\u5747\u503c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>sns. <span style=\"color: #3366ff;\">boxplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">x_var<\/span> ', y=' <span style=\"color: #ff0000;\">y_var<\/span> ', showmeans= <span style=\"color: #008000;\">True<\/span> )<\/strong><\/pre>\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 Seaborn Boxplot \u4e0a\u663e\u793a\u5e73\u5747\u503c<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff0c\u663e\u793a\u6765\u81ea\u4e09\u4e2a\u4e0d\u540c\u7403\u961f\u7684\u7bee\u7403\u8fd0\u52a8\u5458\u7684\u5f97\u5206\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\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'A', 'A', 'A', 'A', 'B', 'B', 'B',\n                            'B', 'B', 'C', 'C', 'C', 'C', 'C'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [3, 4, 6, 8, 9, 10, 13, 16, 18, 20, 8, 9, 12, 13, 15]})\n\n<span style=\"color: #008080;\">#view head of DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df.head<\/span> ())\n\n  team points\n0 to 3\n1 to 4\n2 to 6\n3 to 8\n4 to 9\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u521b\u5efa\u7bb1\u7ebf\u56fe\u6765\u53ef\u89c6\u5316\u6bcf\u4e2a\u56e2\u961f\u7684\u5f97\u5206\u5206\u5e03\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create boxplot to visualize distribution points by team\n<\/span>sns. <span style=\"color: #3366ff;\">boxplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">team<\/span> ', y=' <span style=\"color: #ff0000;\">points<\/span> ')\n<\/span><\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-33596 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/showmean1.jpg\" alt=\"\" width=\"511\" height=\"381\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0c\u7bb1\u7ebf\u56fe\u4f7f\u7528\u6bcf\u4e2a\u7bb1\u7ebf\u56fe\u5185\u7684\u6c34\u5e73\u7ebf\u663e\u793a\u4e2d\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8981\u663e\u793a\u6bcf\u4e2a\u7bb1\u7ebf\u56fe\u7684\u5e73\u5747\u503c\uff0c\u60a8\u5fc5\u987b\u6307\u5b9a<strong>showmeans=True<\/strong> \uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create boxplot to visualize points distribution by team (and display mean values)\n<\/span>sns. <span style=\"color: #3366ff;\">boxplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">team<\/span> ', y=' <span style=\"color: #ff0000;\">points<\/span> ', showmeans= <span style=\"color: #008000;\">True<\/span> )<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-33597 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/showmean2.jpg\" alt=\"\" width=\"508\" height=\"380\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0cseaborn \u4f7f\u7528\u7eff\u8272\u4e09\u89d2\u5f62\u6765\u663e\u793a\u6bcf\u4e2a\u7bb1\u7ebf\u56fe\u7684\u5e73\u5747\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8981\u81ea\u5b9a\u4e49\u5e73\u5747\u503c\u7684\u5916\u89c2\uff0c\u8bf7\u968f\u610f\u4f7f\u7528<strong>Meanprops<\/strong>\u53c2\u6570\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create boxplot to visualize distribution points by team\n<\/span>sns. <span style=\"color: #3366ff;\">boxplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">team<\/span> ', y=' <span style=\"color: #ff0000;\">points<\/span> ', showmeans= <span style=\"color: #008000;\">True<\/span> ,\n            meanprops={' <span style=\"color: #ff0000;\">marker<\/span> ':' <span style=\"color: #ff0000;\">o<\/span> ',\n                       ' <span style=\"color: #ff0000;\">markerfacecolor<\/span> ': ' <span style=\"color: #ff0000;\">white<\/span> ', \n                       ' <span style=\"color: #ff0000;\">markeredgecolor<\/span> ': ' <span style=\"color: #ff0000;\">black<\/span> ',\n                       ' <span style=\"color: #ff0000;\">markersize<\/span> ': ' <span style=\"color: #ff0000;\">8<\/span> '})<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-33598 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/showmean3.jpg\" alt=\"\" width=\"522\" height=\"394\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u5e73\u5747\u503c\u73b0\u5728\u663e\u793a\u4e3a\u5e26\u6709\u9ed1\u8272\u8f6e\u5ed3\u7684\u767d\u8272\u5706\u5708\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u968f\u610f\u4f7f\u7528<strong>Meanprops<\/strong>\u53c2\u6570\u503c\u6765\u66f4\u6539\u7bb1\u7ebf\u56fe\u4e2d\u5e73\u5747\u503c\u7684\u5916\u89c2\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8\u610f<\/strong>\uff1a\u60a8\u53ef\u4ee5 <a href=\"https:\/\/seaborn.pydata.org\/generated\/seaborn.boxplot.html\" target=\"_blank\" rel=\"noopener\">\u5728\u6b64\u5904<\/a>\u627e\u5230 seaborn <strong>boxplot()<\/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\u5728seaborn\u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u529f\u80fd\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/seaborn-\u76d2\u987b\u7684\u989c\u8272\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Seaborn Boxplot \u4e2d\u63a7\u5236\u989c\u8272<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u7bb1\u7ebf\u56fe\u5220\u9664\u5f02\u5e38\u503c\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4ece Seaborn \u7bb1\u7ebf\u56fe\u4e2d\u5220\u9664\u5f02\u5e38\u503c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/seaborn-\u7684\u7bb1\u7ebf\u56fe-x-\u8f74\u987a\u5e8f\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Seaborn \u4e2d\u5bf9 x \u8f74\u4e0a\u7684\u7bb1\u7ebf\u56fe\u8fdb\u884c\u6392\u5e8f<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528showmeans\u53c2\u6570\u6765\u663e\u793a\u4f7f\u7528 seaborn \u521b\u5efa\u7684\u7bb1\u7ebf\u56fe\u4e2d\u7684\u5e73\u5747\u503c\uff1a sns. boxplot [&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-4256","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>Seaborn\uff1a\u5982\u4f55\u5728\u7bb1\u7ebf\u56fe\u4e0a\u663e\u793a\u5e73\u5747\u503c - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Seaborn \u4e2d\u7684\u7bb1\u7ebf\u56fe\u4e0a\u663e\u793a\u5e73\u5747\u503c\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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