{"id":4254,"date":"2023-07-12T12:33:39","date_gmt":"2023-07-12T12:33:39","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e6%b5%b7%e6%b4%8b%e7%9b%b4%e6%96%b9%e5%9b%be%e8%89%b2%e8%b0%83\/"},"modified":"2023-07-12T12:33:39","modified_gmt":"2023-07-12T12:33:39","slug":"%e6%b5%b7%e6%b4%8b%e7%9b%b4%e6%96%b9%e5%9b%be%e8%89%b2%e8%b0%83","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e6%b5%b7%e6%b4%8b%e7%9b%b4%e6%96%b9%e5%9b%be%e8%89%b2%e8%b0%83\/","title":{"rendered":"Seaborn\uff1a\u5982\u4f55\u5728\u76f4\u65b9\u56fe\u4e2d\u4f7f\u7528\u8272\u8c03\u53c2\u6570"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u5728 Seaborn \u4e2d\u521b\u5efa\u76f4\u65b9\u56fe\u65f6\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528<strong>\u8272\u8c03<\/strong>\u53c2\u6570\uff0c\u6839\u636e\u7279\u5b9a\u53d8\u91cf\u7684\u503c\u5bf9\u76f4\u65b9\u56fe\u6761\u8fdb\u884c\u7740\u8272\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e3a\u6b64\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\nsns. <span style=\"color: #3366ff;\">histplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">points<\/span> ', hue=' <span style=\"color: #ff0000;\">team<\/span> ')\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b64\u7279\u5b9a\u793a\u4f8b\u4e3a\u53d8\u91cf<strong>\u70b9<\/strong>\u521b\u5efa\u4e00\u4e2a\u76f4\u65b9\u56fe\uff0c\u5176\u4e2d\u6761\u5f62\u6839\u636e<strong>\u56e2\u961f<\/strong>\u53d8\u91cf\u7684\u503c\u7740\u8272\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 Seaborn \u76f4\u65b9\u56fe\u4e2d\u4f7f\u7528 Hue \u53c2\u6570<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff0c\u663e\u793a\u6765\u81ea\u4e24\u4e2a\u4e0d\u540c\u7403\u961f\u7684\u7bee\u7403\u8fd0\u52a8\u5458\u7684\u5f97\u5206\uff1a<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#make this example reproducible\n<\/span>n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">seeds<\/span> (1)\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ':np. <span style=\"color: #3366ff;\">repeat<\/span> (['A', 'B'], 100),\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': np. <span style=\"color: #3366ff;\">concatenate<\/span> ([\n                       n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">normal<\/span> (size=100,loc=15,scale=2),\n                       n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">normal<\/span> (size=100, loc=25, scale=4)])})\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 A 18.248691\n1 A 13.776487\n2 A 13.943656\n3 A 12.854063\n4 A 16.730815<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5e26\u6709<strong>hue<\/strong>\u53c2\u6570\u7684seaborn <strong>histplot()<\/strong>\u51fd\u6570\u6765\u521b\u5efapoints\u53d8\u91cf\u7684\u76f4\u65b9\u56fe\uff0c\u5e76\u6309\u56e2\u961f\u53d8\u91cf\u5206\u7ec4\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create histogram to visualize distribution of points by team\n<\/span>sns. <span style=\"color: #3366ff;\">histplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">points<\/span> ', hue=' <span style=\"color: #ff0000;\">team<\/span> ')<\/strong><\/span> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-33584 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/teinte1.jpg\" alt=\"\" width=\"503\" height=\"386\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u751f\u6210\u7684\u56fe\u5305\u542b\u91cd\u53e0\u7684\u76f4\u65b9\u56fe\uff0c\u5176\u989c\u8272\u57fa\u4e8e\u56e2\u961f\u5217\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528<strong>\u8c03\u8272\u677f<\/strong>\u53c2\u6570\u6765\u6307\u5b9a\u5728\u76f4\u65b9\u56fe\u4e2d\u4f7f\u7528\u54ea\u4e9b\u989c\u8272\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create histogram to visualize distribution of points by team\n<\/span>sns. <span style=\"color: #3366ff;\">histplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">points<\/span> ', hue=' <span style=\"color: #ff0000;\">team<\/span> ', palette=[' <span style=\"color: #ff0000;\">lightgreen<\/span> ', ' <span style=\"color: #ff0000;\">pink<\/span> '])<\/strong><\/span> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-33585 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/teinte2.jpg\" alt=\"\" width=\"507\" height=\"391\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u4e24\u4e2a\u76f4\u65b9\u56fe\u73b0\u5728\u90fd\u4f7f\u7528\u6d45\u7eff\u8272\u548c\u7c89\u8272\u4f5c\u4e3a\u989c\u8272\uff0c\u6b63\u5982\u6211\u4eec\u5728<strong>histplot()<\/strong>\u51fd\u6570\u4e2d\u4f7f\u7528<strong>\u8c03\u8272\u677f<\/strong>\u53c2\u6570\u6307\u5b9a\u7684\u90a3\u6837\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.histplot.html\" target=\"_blank\" rel=\"noopener\">\u5728\u6b64\u5904<\/a>\u627e\u5230 seaborn <strong>histplot()<\/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\u4f7f\u7528seaborn\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u6d77\u6d0b\u6240\u6709\u6743\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4e3a Seaborn \u7ed8\u56fe\u6dfb\u52a0\u6807\u9898<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u5b57\u4f53\u5927\u5c0f\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u66f4\u6539 Seaborn \u56fe\u4e2d\u7684\u5b57\u4f53\u5927\u5c0f<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u6d77\u6d0b\u8731\u866b\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u8c03\u6574 Seaborn \u56fe\u4e2d\u7684\u523b\u5ea6\u6570<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5728 Seaborn \u4e2d\u521b\u5efa\u76f4\u65b9\u56fe\u65f6\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u8272\u8c03\u53c2\u6570\uff0c\u6839\u636e\u7279\u5b9a\u53d8\u91cf\u7684\u503c\u5bf9\u76f4\u65b9\u56fe\u6761\u8fdb\u884c\u7740\u8272\u3002 \u4e3a\u6b64\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528 [&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-4254","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\u76f4\u65b9\u56fe\u4e2d\u4f7f\u7528\u8272\u8c03\u53c2\u6570 - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528 Seaborn 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