{"id":995,"date":"2023-07-28T01:29:05","date_gmt":"2023-07-28T01:29:05","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e6%bb%91%e3%82%89%e3%81%8b%e3%81%aa%e6%9b%b2%e7%b7%9a\/"},"modified":"2023-07-28T01:29:05","modified_gmt":"2023-07-28T01:29:05","slug":"%e6%bb%91%e3%82%89%e3%81%8b%e3%81%aa%e6%9b%b2%e7%b7%9a","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e6%bb%91%e3%82%89%e3%81%8b%e3%81%aa%e6%9b%b2%e7%b7%9a\/","title":{"rendered":"Matplotlib \u3067\u6ed1\u3089\u304b\u306a\u66f2\u7dda\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Matplotlib \u3067\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u306e\u6ed1\u3089\u304b\u306a\u66f2\u7dda\u3092\u30d7\u30ed\u30c3\u30c8\u3057\u305f\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002\u5e78\u3044\u306a\u3053\u3068\u306b\u3001\u3053\u308c\u306f\u6b21\u306e SciPy \u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u7c21\u5358\u306b\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/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;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u3053\u308c\u3089\u306e\u6a5f\u80fd\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b: Matplotlib \u3067\u6ed1\u3089\u304b\u306a\u66f2\u7dda\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u4e00\u9023\u306e\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066\u5358\u7d14\u306a\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/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;\">\u57fa\u306b\u306a\u308b\u30c7\u30fc\u30bf\u304c\u6ed1\u3089\u304b\u306a\u7dda\u306b\u5f93\u3063\u3066\u3044\u306a\u3044\u305f\u3081\u3001\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u306f\u5b8c\u5168\u306b\u6ed1\u3089\u304b\u3067\u306f\u306a\u3044\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6ed1\u3089\u304b\u306a\u66f2\u7dda\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/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 \u306e\u6ed1\u3089\u304b\u306a\u66f2\u7dda\" width=\"456\" height=\"335\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>k<\/strong>\u5f15\u6570\u306b\u4f7f\u7528\u3059\u308b\u6b21\u6570\u304c\u9ad8\u304f\u306a\u308b\u307b\u3069\u3001\u66f2\u7dda\u306e\u300c\u6ce2\u6253\u3061\u300d\u304c\u5927\u304d\u304f\u306a\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u305f\u3068\u3048\u3070\u3001 <strong>k=7<\/strong>\u306e\u6b21\u306e\u30b0\u30e9\u30d5\u3092\u8003\u3048\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/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 \u306e\u6ed1\u3089\u304b\u306a\u66f2\u7dda\u30b9\u30d7\u30e9\u30a4\u30f3\" width=\"431\" height=\"317\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u7dda\u306e\u66f2\u7387\u306b\u5fdc\u3058\u3066\u3001k \u306e\u5024\u3092\u5909\u66f4\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/ja\/matplotlib-\u8868\u793a\u30af\u3099\u30ea\u30c3\u30c8\u3099\/\" target=\"_blank\" rel=\"noopener noreferrer\">Matplotlib \u30d7\u30ed\u30c3\u30c8\u306b\u30b0\u30ea\u30c3\u30c9\u7dda\u3092\u8868\u793a\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/matplotlib\u306f\u30c6\u30a3\u30c3\u30af\u3092\u524a\u9664\u3057\u307e\u3059\/\" target=\"_blank\" rel=\"noopener noreferrer\">Matplotlib \u30d7\u30ed\u30c3\u30c8\u304b\u3089\u76ee\u76db\u3092\u524a\u9664\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30ed\u30af\u3099\u30d5\u309a\u30ed\u30c3\u30c8-matplotlib\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u5bfe\u6570\u30b9\u30b1\u30fc\u30eb\u3092\u4f7f\u7528\u3057\u3066 Matplotlib \u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Matplotlib \u3067\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u306e\u6ed1\u3089\u304b\u306a\u66f2\u7dda\u3092\u30d7\u30ed\u30c3\u30c8\u3057\u305f\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002\u5e78\u3044\u306a\u3053\u3068\u306b\u3001\u3053\u308c\u306f\u6b21\u306e SciPy \u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u7c21\u5358\u306b\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 scipy.interpolate.make_interp [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-995","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Matplotlib \u3067\u6ed1\u3089\u304b\u306a\u66f2\u7dda\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5 - Statorials<\/title>\n<meta name=\"description\" content=\"Matplotlib \u3067\u6ed1\u3089\u304b\u306a\u66f2\u7dda\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5\u3092\u3001\u3044\u304f\u3064\u304b\u306e\u4f8b\u3092\u542b\u3081\u3066\u7c21\u5358\u306b\u8aac\u660e\u3057\u307e\u3059\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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