{"id":3346,"date":"2023-07-17T23:07:30","date_gmt":"2023-07-17T23:07:30","guid":{"rendered":"https:\/\/statorials.org\/ja\/matplotlib-%e3%81%ae%e3%83%86%e3%82%99%e3%83%95%e3%82%a9%e3%83%ab%e3%83%88%e8%89%b2\/"},"modified":"2023-07-17T23:07:30","modified_gmt":"2023-07-17T23:07:30","slug":"matplotlib-%e3%81%ae%e3%83%86%e3%82%99%e3%83%95%e3%82%a9%e3%83%ab%e3%83%88%e8%89%b2","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/matplotlib-%e3%81%ae%e3%83%86%e3%82%99%e3%83%95%e3%82%a9%e3%83%ab%e3%83%88%e8%89%b2\/","title":{"rendered":"Matplotlib \u306e\u30c7\u30d5\u30a9\u30eb\u30c8\u30ab\u30e9\u30fc\u306e\u5b8c\u5168\u30ac\u30a4\u30c9"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Python \u3067\u306f\u3001Matplotlib \u306b\u306f\u3001\u8981\u7d20\u306e\u5408\u8a08\u6570\u306b\u57fa\u3065\u3044\u3066\u30d7\u30ed\u30c3\u30c8\u5185\u306e\u8981\u7d20\u306b\u4f7f\u7528\u3059\u308b\u30c7\u30d5\u30a9\u30eb\u30c8\u8272\u306e\u30ea\u30b9\u30c8\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001Matplotlib \u3067\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u4e0a\u4f4d 10 \u8272\u3092\u8868\u793a\u3059\u308b\u7dda\u3092\u30d7\u30ed\u30c3\u30c8\u3067\u304d\u307e\u3059\u3002<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008000;\">import<\/span> matplotlib.pyplot <span style=\"color: #008000;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#defineplot\n<\/span>fig = plt. <span style=\"color: #3366ff;\">figure<\/span> ()\nax = fig. <span style=\"color: #3366ff;\">add_subplot<\/span> (111)\n\n<span style=\"color: #008080;\">#define range\n<\/span>j = np. <span style=\"color: #3366ff;\">orange<\/span> (11)\n\n<span style=\"color: #008080;\">#add lines to plot\n<\/span><span style=\"color: #008000;\">for<\/span> i <span style=\"color: #008000;\">in<\/span> range(10):\n    line, = ax. <span style=\"color: #3366ff;\">plot<\/span> (j,i*(j+1))\n    ax. <span style=\"color: #3366ff;\">plot<\/span> (j,i*(j+1), color = <span style=\"color: #3366ff;\">line.get_color<\/span> ())\n\n<span style=\"color: #008080;\">#displayplot\n<\/span>plt. <span style=\"color: #3366ff;\">show<\/span> ()\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-28159\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/matdefault1.jpg\" alt=\"Matplotlib \u306e\u30c7\u30d5\u30a9\u30eb\u30c8\u8272\" width=\"501\" height=\"376\" srcset=\"\" sizes=\"auto, \"><\/span><\/p>\n<p> <span style=\"color: #000000;\">Matplotlib \u306f\u3001\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u30d7\u30ed\u30c3\u30c8\u7dda\u306e\u6700\u521d\u306e 10 \u8272\u3092\u9078\u629e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u300110 \u8272\u306e\u305d\u308c\u305e\u308c\u306e\u5b9f\u969b\u306e 16 \u9032\u30ab\u30e9\u30fc \u30b3\u30fc\u30c9\u3092\u8868\u793a\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#display hex color codes\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">plt.rcParams<\/span> [' <span style=\"color: #ff0000;\">axes.prop_cycle<\/span> ']. <span style=\"color: #3366ff;\">by_key<\/span> ()[' <span style=\"color: #ff0000;\">color<\/span> '])\n\n['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2',\n '#7f7f7f', '#bcbd22', '#17becf']\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u51fa\u529b\u306b\u306f\u300110 \u8272\u306e\u30c7\u30d5\u30a9\u30eb\u30c8\u306e\u8272\u3054\u3068\u306b 16 \u9032\u6570\u306e\u30ab\u30e9\u30fc \u30b3\u30fc\u30c9\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001\u6700\u521d\u306e 16 \u9032\u6570\u306e\u30ab\u30e9\u30fc \u30b3\u30fc\u30c9\u306f<strong>#1f77b4<\/strong>\u3067\u3059\u3002\u3053\u308c\u306f\u3001\u30d7\u30ed\u30c3\u30c8\u306e\u6700\u521d\u306e\u9752\u8272\u306e\u884c\u306b\u5bfe\u5fdc\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">2 \u756a\u76ee\u306e 16 \u9032\u6570\u306e\u30ab\u30e9\u30fc \u30b3\u30fc\u30c9\u306f<strong>#ff7f0e<\/strong>\u3067\u3059\u3002\u3053\u308c\u306f\u3001\u30d7\u30ed\u30c3\u30c8\u306e 2 \u884c\u76ee\u306e\u30aa\u30ec\u30f3\u30b8\u8272\u306b\u5bfe\u5fdc\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">3 \u756a\u76ee\u306e 16 \u9032\u6570\u306e\u30ab\u30e9\u30fc \u30b3\u30fc\u30c9\u306f<strong>#2ca02c<\/strong>\u3067\u3059\u3002\u3053\u308c\u306f\u3001\u30d7\u30ed\u30c3\u30c8\u306e 3 \u756a\u76ee\u306e\u7dd1\u8272\u306e\u7dda\u306b\u5bfe\u5fdc\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u7b49\u3005\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u3001Matplotlib \u3067\u5358\u4e00\u306e\u7dda\u3092\u542b\u3080\u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u5834\u5408\u3001\u7279\u306b\u6307\u5b9a\u3057\u306a\u3044\u9650\u308a\u3001\u7dda\u306e\u8272\u306f<strong>#1f77b4<\/strong>\u306b\u306a\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u307e\u305f\u306f\u3001Matplotlib \u3067 2 \u884c\u306e\u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u5834\u5408\u3001\u7279\u306b\u6307\u5b9a\u3057\u306a\u3044\u9650\u308a\u3001\u6700\u521d\u306e\u884c\u306e\u8272\u306f<strong>#1f77b4<\/strong>\u306b\u306a\u308a\u30012 \u756a\u76ee\u306e\u884c\u306e\u8272\u306f<strong>#ff7f0e<\/strong>\u306b\u306a\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u30c7\u30d5\u30a9\u30eb\u30c8\u8272\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f<a href=\"https:\/\/matplotlib.org\/stable\/users\/prev_whats_new\/dflt_style_changes.html\" target=\"_blank\" rel=\"noopener\">\u3001Matplotlib \u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/a>\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Matplotlib \u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/matplotlib-\u306e\u80cc\u666f\u8272\/\" target=\"_blank\" rel=\"noopener\">Matplotlib \u3067\u80cc\u666f\u8272\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/matplotlib\u306e\u6c34\u5e73\u30af\u3099\u30ea\u30c3\u30c8\u3099\u7dda\/\" target=\"_blank\" rel=\"noopener\">Matplotlib \u3067\u6c34\u5e73\u30b0\u30ea\u30c3\u30c9\u306e\u307f\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5<\/a><br \/>Matplotlib \u3067\u8ef8\u306e\u76ee\u76db\u308a\u3092\u8a2d\u5b9a\u3059\u308b\u65b9\u6cd5<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Python \u3067\u306f\u3001Matplotlib \u306b\u306f\u3001\u8981\u7d20\u306e\u5408\u8a08\u6570\u306b\u57fa\u3065\u3044\u3066\u30d7\u30ed\u30c3\u30c8\u5185\u306e\u8981\u7d20\u306b\u4f7f\u7528\u3059\u308b\u30c7\u30d5\u30a9\u30eb\u30c8\u8272\u306e\u30ea\u30b9\u30c8\u304c\u3042\u308a\u307e\u3059\u3002 \u305f\u3068\u3048\u3070\u3001\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001Matplotlib \u3067\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u4e0a\u4f4d 10 \u8272\u3092\u8868\u793a\u3059 [&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-3346","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 \u306e\u30c7\u30d5\u30a9\u30eb\u30c8\u30ab\u30e9\u30fc\u306e\u5b8c\u5168\u30ac\u30a4\u30c9 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Matplotlib \u306e\u30c7\u30d5\u30a9\u30eb\u30c8\u306e\u8272\u3092\u4f8b\u3092\u542b\u3081\u3066\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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