{"id":998,"date":"2023-07-28T01:29:05","date_gmt":"2023-07-28T01:29:05","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e5%b9%b3%e6%bb%91%e6%9b%b2%e7%ba%bf-matplotlib\/"},"modified":"2023-07-28T01:29:05","modified_gmt":"2023-07-28T01:29:05","slug":"%e5%b9%b3%e6%bb%91%e6%9b%b2%e7%ba%bf-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e5%b9%b3%e6%bb%91%e6%9b%b2%e7%ba%bf-matplotlib\/","title":{"rendered":"\u5982\u4f55\u5728 matplotlib \u4e2d\u7ed8\u5236\u5e73\u6ed1\u66f2\u7ebf"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u5728 Matplotlib \u4e2d\u4e3a\u6298\u7ebf\u56fe\u7ed8\u5236\u5e73\u6ed1\u66f2\u7ebf\u3002\u5e78\u8fd0\u7684\u662f\uff0c\u4f7f\u7528\u4ee5\u4e0b SciPy \u51fd\u6570\u53ef\u4ee5\u8f7b\u677e\u505a\u5230\u8fd9\u4e00\u70b9\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.interpolate.make_interp_spline.html\" target=\"_blank\" rel=\"noopener noreferrer\">scipy.interpolate.make_interp_spline()<\/a><\/span><\/li>\n<li> <span style=\"color: #000000;\"><a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.interpolate.BSpline.html\" target=\"_blank\" rel=\"noopener noreferrer\">scipy.interpolate.BSpline()<\/a><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u8fd9\u4e9b\u529f\u80fd\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u5728 Matplotlib \u4e2d\u7ed8\u5236\u5e73\u6ed1\u66f2\u7ebf<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4e3a\u4e00\u7ec4\u6570\u636e\u521b\u5efa\u7b80\u5355\u7684\u6298\u7ebf\u56fe\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#create data<\/span>\nx = np.array([1, 2, 3, 4, 5, 6, 7, 8])\ny = np.array([4, 9, 12, 30, 45, 88, 140, 230])\n\n<span style=\"color: #008080;\">#create line chart<\/span>\nplt. <span style=\"color: #3366ff;\">plot<\/span> (x,y)\nplt. <span style=\"color: #3366ff;\">show<\/span> ()\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-10342 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lisse1.png\" alt=\"\" width=\"453\" height=\"339\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u6298\u7ebf\u56fe\u5e76\u4e0d\u5b8c\u5168\u5e73\u6ed1\uff0c\u56e0\u4e3a\u57fa\u7840\u6570\u636e\u5e76\u4e0d\u9075\u5faa\u5e73\u6ed1\u7ebf\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u4e3a\u8be5\u6570\u636e\u96c6\u521b\u5efa\u5e73\u6ed1\u66f2\u7ebf\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> scipy.interpolate <span style=\"color: #008000;\">import<\/span> make_interp_spline, BSpline\n\n<span style=\"color: #008080;\">#createdata<\/span>\nx = np.array([1, 2, 3, 4, 5, 6, 7, 8])\ny = np.array([4, 9, 12, 30, 45, 88, 140, 230])\n\n<span style=\"color: #008080;\">#define x as 200 equally spaced values between the min and max of original x<\/span> \nxnew = np. <span style=\"color: #3366ff;\">linspace<\/span> ( <span style=\"color: #993300;\">x.min<\/span> (), <span style=\"color: #993300;\">x.max<\/span> (), <span style=\"color: #008000;\">200<\/span> ) \n\n<span style=\"color: #008080;\">#define spline<\/span>\nspl = <span style=\"color: #3366ff;\">make_interp_spline<\/span> (x, y, k= <span style=\"color: #008000;\">3<\/span> )\ny_smooth = <span style=\"color: #3366ff;\">spl<\/span> (xnew)\n\n<span style=\"color: #008080;\">#create smooth line chart<\/span> \nplt. <span style=\"color: #3366ff;\">plot<\/span> (xnew, y_smooth)\nplt. <span style=\"color: #3366ff;\">show<\/span> ()\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-10343 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lisse2.png\" alt=\"Matplotlib \u4e2d\u7684\u5e73\u6ed1\u66f2\u7ebf\" width=\"456\" height=\"335\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c <strong>k<\/strong>\u53c2\u6570\u4f7f\u7528\u7684\u9636\u6570\u8d8a\u9ad8\uff0c\u66f2\u7ebf\u5c31\u8d8a\u201c\u6ce2\u52a8\u201d\u3002\u4f8b\u5982\uff0c\u8003\u8651\u4e0b\u56fe<strong>k=7<\/strong> \uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> scipy.interpolate <span style=\"color: #008000;\">import<\/span> make_interp_spline, BSpline\n\n<span style=\"color: #008080;\">#createdata<\/span>\nx = np.array([1, 2, 3, 4, 5, 6, 7, 8])\ny = np.array([4, 9, 12, 30, 45, 88, 140, 230])\n\n<span style=\"color: #008080;\">#define x as 200 equally spaced values between the min and max of original x<\/span> \nxnew = np. <span style=\"color: #3366ff;\">linspace<\/span> ( <span style=\"color: #993300;\">x.min<\/span> (), <span style=\"color: #993300;\">x.max<\/span> (), <span style=\"color: #008000;\">200<\/span> ) \n\n<span style=\"color: #008080;\">#define spline with degree k=7<\/span>\nspl = <span style=\"color: #3366ff;\">make_interp_spline<\/span> (x, y, k= <span style=\"color: #008000;\">7<\/span> )\ny_smooth = <span style=\"color: #3366ff;\">spl<\/span> (xnew)\n\n<span style=\"color: #008080;\">#create smooth line chart<\/span> \nplt. <span style=\"color: #3366ff;\">plot<\/span> (xnew, y_smooth)\nplt. <span style=\"color: #3366ff;\">show<\/span> ()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-10346 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lisse3.png\" alt=\"Matplotlib \u4e2d\u7684\u5e73\u6ed1\u66f2\u7ebf\u6837\u6761\u7ebf\" width=\"431\" height=\"317\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u6839\u636e\u60a8\u60f3\u8981\u7684\u7ebf\u66f2\u7387\uff0c\u60a8\u53ef\u4ee5\u66f4\u6539 k \u7684\u503c\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/cn\/matplotlib-\u663e\u793a\u7f51\u683c\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u5982\u4f55\u5728 Matplotlib \u7ed8\u56fe\u4e0a\u663e\u793a\u7f51\u683c\u7ebf<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/matplotlib-\u5220\u9664\u523b\u5ea6\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u5982\u4f55\u4ece Matplotlib \u56fe\u4e2d\u5220\u9664\u523b\u5ea6<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u5bf9\u6570\u56fe-matplotlib\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u5982\u4f55\u521b\u5efa\u5177\u6709\u5bf9\u6570\u523b\u5ea6\u7684 Matplotlib \u56fe<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u5728 Matplotlib \u4e2d\u4e3a\u6298\u7ebf\u56fe\u7ed8\u5236\u5e73\u6ed1\u66f2\u7ebf\u3002\u5e78\u8fd0\u7684\u662f\uff0c\u4f7f\u7528\u4ee5\u4e0b SciPy \u51fd\u6570\u53ef\u4ee5\u8f7b\u677e [&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-998","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>\u5982\u4f55\u5728 Matplotlib \u4e2d\u7ed8\u5236\u5e73\u6ed1\u66f2\u7ebf - Statorials<\/title>\n<meta name=\"description\" content=\"\u7b80\u5355\u89e3\u91ca\u5982\u4f55\u5728 Matplotlib \u4e2d\u7ed8\u5236\u5e73\u6ed1\u66f2\u7ebf\uff0c\u5305\u62ec\u51e0\u4e2a\u793a\u4f8b\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\/\u5e73\u6ed1\u66f2\u7ebf-matplotlib\/\" \/>\n<meta property=\"og:locale\" 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