{"id":2367,"date":"2023-07-22T14:05:30","date_gmt":"2023-07-22T14:05:30","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e5%87%a1%e4%be%8b%e3%81%ae%e9%a0%86%e5%ba%8f\/"},"modified":"2023-07-22T14:05:30","modified_gmt":"2023-07-22T14:05:30","slug":"%e5%87%a1%e4%be%8b%e3%81%ae%e9%a0%86%e5%ba%8f","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e5%87%a1%e4%be%8b%e3%81%ae%e9%a0%86%e5%ba%8f\/","title":{"rendered":"Matplotlib \u51e1\u4f8b\u306e\u8981\u7d20\u306e\u9806\u5e8f\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001Matplotlib \u51e1\u4f8b\u306e\u8981\u7d20\u306e\u9806\u5e8f\u3092\u5909\u66f4\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#get handles and labels<\/span>\nhandles, labels = plt. <span style=\"color: #3366ff;\">gca<\/span> (). <span style=\"color: #3366ff;\">get_legend_handles_labels<\/span> ()\n\n<span style=\"color: #008080;\">#specify order of items in legend<\/span>\norder = [1,2,0]\n\n<span style=\"color: #008080;\">#add legend to plot\n<\/span>plt. <span style=\"color: #3366ff;\">legend<\/span> ([handles[idx] <span style=\"color: #008000;\">for<\/span> idx <span style=\"color: #008000;\">in<\/span> order],[labels[idx] <span style=\"color: #008000;\">for<\/span> idx <span style=\"color: #008000;\">in<\/span> order])\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u69cb\u6587\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b: Matplotlib \u51e1\u4f8b\u306e\u8981\u7d20\u306e\u9806\u5e8f\u3092\u5909\u66f4\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">Matplotlib \u3067\u6b21\u306e\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u3068\u3057\u307e\u3059\u3002<\/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<span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">\nimport<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#create data\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({'points': [11, 17, 16, 18, 22, 25, 26, 24, 29],\n                   'assists': [5, 7, 7, 9, 12, 9, 9, 4, 8],\n                   'rebounds': [6, 8, 8, 10, 14, 12, 12, 10, 11]})\n\n<span style=\"color: #008080;\">#add lines to plot\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (df['points'], label='Points', color='green')\nplt. <span style=\"color: #3366ff;\">plot<\/span> (df['assists'], label='Assists', color='steelblue')\nplt. <span style=\"color: #3366ff;\">plot<\/span> (df['rebounds'], label='Rebounds', color='purple')\n\n<span style=\"color: #008080;\">#add legend\n<\/span>plt. <span style=\"color: #3366ff;\">legend<\/span> ()<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-21422 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/tapis1-1.png\" alt=\"\" width=\"509\" height=\"333\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u51e1\u4f8b\u8981\u7d20\u306f\u3001\u30d7\u30ed\u30c3\u30c8\u306b\u7dda\u3092\u8ffd\u52a0\u3057\u305f\u9806\u5e8f\u3067\u914d\u7f6e\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3060\u3057\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u51e1\u4f8b\u5185\u306e\u8981\u7d20\u306e\u9806\u5e8f\u3092\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u3067\u304d\u307e\u3059\u3002<\/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<span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">\nimport<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#create data\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({'points': [11, 17, 16, 18, 22, 25, 26, 24, 29],\n                   'assists': [5, 7, 7, 9, 12, 9, 9, 4, 8],\n                   'rebounds': [6, 8, 8, 10, 14, 12, 12, 10, 11]})\n\n<span style=\"color: #008080;\">#add lines to plot\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (df['points'], label='Points', color='green')\nplt. <span style=\"color: #3366ff;\">plot<\/span> (df['assists'], label='Assists', color='steelblue')\nplt. <span style=\"color: #3366ff;\">plot<\/span> (df['rebounds'], label='Rebounds', color='purple')\n\n<span style=\"color: #008080;\">#get handles and labels<\/span>\nhandles, labels = plt. <span style=\"color: #3366ff;\">gca<\/span> (). <span style=\"color: #3366ff;\">get_legend_handles_labels<\/span> ()\n\n<span style=\"color: #008080;\">#specify order of items in legend<\/span>\norder = [1,2,0]\n\n<span style=\"color: #008080;\">#add legend to plot<\/span>\nplt. <span style=\"color: #3366ff;\">legend<\/span> ([handles[idx] <span style=\"color: #008000;\">for<\/span> idx <span style=\"color: #008000;\">in<\/span> order],[labels[idx] <span style=\"color: #008000;\">for<\/span> idx <span style=\"color: #008000;\">in<\/span> order]) \n<\/span><\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-21423 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/tapis2-1.png\" alt=\"Matplotlib \u51e1\u4f8b\u306e\u9806\u5e8f\" width=\"507\" height=\"341\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u3092\u6307\u5b9a\u3057\u305f\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u6b21\u6570 = [1, 2, 0]<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u3064\u307e\u308a:<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u51e1\u4f8b\u306e\u6700\u521d\u306e\u9805\u76ee\u306f\u3001\u5143\u3005\u53e4\u3044\u51e1\u4f8b\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u4f4d\u7f6e<strong>1<\/strong>\u306b\u3042\u3063\u305f\u30e9\u30d9\u30eb (\u300c\u30d8\u30eb\u30d7\u300d) \u3067\u3042\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u51e1\u4f8b\u306e 2 \u756a\u76ee\u306e\u8981\u7d20\u306f\u3001\u5143\u3005\u53e4\u3044\u51e1\u4f8b\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u4f4d\u7f6e<strong>2<\/strong>\u306b\u3042\u3063\u305f\u30e9\u30d9\u30eb (\u300c\u30d0\u30a6\u30f3\u30b9\u300d) \u3067\u3042\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u51e1\u4f8b\u306e 3 \u756a\u76ee\u306e\u8981\u7d20\u306f\u3001\u5143\u3005\u53e4\u3044\u51e1\u4f8b\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u4f4d\u7f6e<strong>0<\/strong>\u306b\u3042\u3063\u305f\u30e9\u30d9\u30eb (\u300c\u30dd\u30a4\u30f3\u30c8\u300d) \u3067\u3042\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/li>\n<\/ul>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\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\u64cd\u4f5c\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\u51e1\u4f8b\u306e\u4f4d\u7f6e\/\" target=\"_blank\" rel=\"noopener\">Matplotlib \u3067\u51e1\u4f8b\u306e\u4f4d\u7f6e\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30d5\u309a\u30ed\u30c3\u30c8\u5916\u306e-matplotlib-\u51e1\u4f8b\/\" target=\"_blank\" rel=\"noopener\">Matplotlib \u30d7\u30ed\u30c3\u30c8\u306e\u5916\u5074\u306b\u51e1\u4f8b\u3092\u914d\u7f6e\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/matplotlib-\u51e1\u4f8b\u306e\u30d5\u30a9\u30f3\u30c8-\u30b5\u30a4\u30b9\u3099\/\" target=\"_blank\" rel=\"noopener\">Matplotlib \u3067\u51e1\u4f8b\u306e\u30d5\u30a9\u30f3\u30c8 \u30b5\u30a4\u30ba\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001Matplotlib \u51e1\u4f8b\u306e\u8981\u7d20\u306e\u9806\u5e8f\u3092\u5909\u66f4\u3067\u304d\u307e\u3059\u3002 #get handles and labels handles, labels = plt. gca (). get_legend_handl [&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-2367","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 \u51e1\u4f8b\u306e\u8981\u7d20\u306e\u9806\u5e8f\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Matplotlib \u51e1\u4f8b\u306e\u8981\u7d20\u306e\u9806\u5e8f\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\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\" href=\"https:\/\/statorials.org\/ja\/\u51e1\u4f8b\u306e\u9806\u5e8f\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Matplotlib \u51e1\u4f8b\u306e\u8981\u7d20\u306e\u9806\u5e8f\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5 \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Matplotlib \u51e1\u4f8b\u306e\u8981\u7d20\u306e\u9806\u5e8f\u3092\u5909\u66f4\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ja\/\u51e1\u4f8b\u306e\u9806\u5e8f\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T14:05:30+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/tapis1-1.png\" \/>\n<meta name=\"author\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n\t<meta name=\"twitter:label2\" 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