{"id":1565,"date":"2023-07-25T20:28:14","date_gmt":"2023-07-25T20:28:14","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e6%8c%87%e6%95%b0%e5%9b%9e%e5%b8%b0python\/"},"modified":"2023-07-25T20:28:14","modified_gmt":"2023-07-25T20:28:14","slug":"%e6%8c%87%e6%95%b0%e5%9b%9e%e5%b8%b0python","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e6%8c%87%e6%95%b0%e5%9b%9e%e5%b8%b0python\/","title":{"rendered":"Python \u3067\u306e\u6307\u6570\u56de\u5e30 (\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u6307\u6570\u56de\u5e30\u306f\u3001<\/strong>\u6b21\u306e\u72b6\u6cc1\u3092\u30e2\u30c7\u30eb\u5316\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b\u56de\u5e30\u306e\u4e00\u7a2e\u3067\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. \u6307\u6570\u95a2\u6570\u7684\u6210\u9577:<\/strong>\u6210\u9577\u306f\u3086\u3063\u304f\u308a\u3068\u59cb\u307e\u308a\u3001\u305d\u306e\u5f8c\u6025\u901f\u306b\u7121\u5236\u9650\u306b\u52a0\u901f\u3057\u307e\u3059\u3002<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-14288 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/expregexcel1.png\" alt=\"\" width=\"329\" height=\"244\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>2. \u6307\u6570\u95a2\u6570\u7684\u6e1b\u8870:<\/strong>\u6e1b\u8870\u306f\u6025\u901f\u306b\u59cb\u307e\u308a\u3001\u5f90\u3005\u306b\u30bc\u30ed\u306b\u8fd1\u3065\u3044\u3066\u6e1b\u901f\u3057\u307e\u3059\u3002<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-14289 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/expregexcel2.png\" alt=\"\" width=\"332\" height=\"251\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u6307\u6570\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u65b9\u7a0b\u5f0f\u306f\u6b21\u306e\u5f62\u5f0f\u306b\u306a\u308a\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">y = \u7d76\u5bfe<sup>x<\/sup><\/span><\/p>\n<p><span style=\"color: #000000;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>y:<\/strong>\u5fdc\u7b54\u5909\u6570<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>x:<\/strong>\u4e88\u6e2c\u5909\u6570<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>a\u3001b:<\/strong> <em>x<\/em>\u3068<em>y<\/em>\u306e\u95a2\u4fc2\u3092\u8aac\u660e\u3059\u308b\u56de\u5e30\u4fc2\u6570<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7\u306e\u4f8b\u306f\u3001Python \u3067\u6307\u6570\u56de\u5e30\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 1: \u30c7\u30fc\u30bf\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u307e\u305a\u30012 \u3064\u306e\u5909\u6570<em>x<\/em>\u3068<em>y<\/em>\u306e\u507d\u306e\u30c7\u30fc\u30bf\u3092\u4f5c\u6210\u3057\u307e\u3057\u3087\u3046\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\nx = np. <span style=\"color: #3366ff;\">arange<\/span> (1, 21, 1)\ny = np. <span style=\"color: #3366ff;\">array<\/span> ([1, 3, 5, 7, 9, 12, 15, 19, 23, 28,\n              33, 38, 44, 50, 56, 64, 73, 84, 97, 113])\n<\/strong><\/pre>\n<h3><strong>\u30b9\u30c6\u30c3\u30d7 2: \u30c7\u30fc\u30bf\u3092\u8996\u899a\u5316\u3059\u308b<\/strong><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001\u7c21\u5358\u306a\u6563\u5e03\u56f3\u3092\u4f5c\u6210\u3057\u3066\u3001 <em>x<\/em>\u3068<em>y<\/em>\u306e\u95a2\u4fc2\u3092\u8996\u899a\u5316\u3057\u307e\u3057\u3087\u3046\u3002<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\nplt. <span style=\"color: #3366ff;\">scatter<\/span> (x,y)\nplt. <span style=\"color: #3366ff;\">show<\/span> ()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-15557 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/expregpython1.png\" alt=\"\" width=\"382\" height=\"266\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u30b0\u30e9\u30d5\u304b\u3089\u30012 \u3064\u306e\u5909\u6570\u9593\u306b\u660e\u78ba\u306a\u6307\u6570\u95a2\u6570\u7684\u306a\u5897\u52a0\u30d1\u30bf\u30fc\u30f3\u304c\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3057\u305f\u304c\u3063\u3066\u3001\u5909\u6570\u9593\u306e\u95a2\u4fc2\u3092\u8aac\u660e\u3059\u308b\u306b\u306f\u3001\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u3067\u306f\u306a\u304f\u3001\u6307\u6570\u56de\u5e30\u65b9\u7a0b\u5f0f\u3092\u5f53\u3066\u306f\u3081\u308b\u3053\u3068\u304c\u8ce2\u660e\u3067\u3042\u308b\u3068\u601d\u308f\u308c\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 3: \u6307\u6570\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u5f53\u3066\u306f\u3081\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001 <strong>polyfit()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001 <em>y<\/em>\u306e\u81ea\u7136\u5bfe\u6570\u3092\u5fdc\u7b54\u5909\u6570\u3068\u3057\u3066\u3001 <em>x \u3092<\/em>\u4e88\u6e2c\u5909\u6570\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u3001\u6307\u6570\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u8fd1\u4f3c\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit the model<\/span>\nfit = np. <span style=\"color: #3366ff;\">polyfit<\/span> (x, np. <span style=\"color: #3366ff;\">log<\/span> (y), 1)\n<strong>\n<span style=\"color: #008080;\">#view the output of the model<\/span>\nprint(fit)\n\n[0.2041002 0.98165772]\n<\/strong><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u306b\u57fa\u3065\u3044\u3066\u3001\u8fd1\u4f3c\u3055\u308c\u305f\u6307\u6570\u56de\u5e30\u5f0f\u306f\u6b21\u306e\u3088\u3046\u306b\u8a18\u8ff0\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>ln(y) = 0.9817 + 0.2041(x)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\"><em>e<\/em>\u3092\u4e21\u8fba\u306b\u9069\u7528\u3059\u308b\u3068\u3001\u65b9\u7a0b\u5f0f\u3092\u6b21\u306e\u3088\u3046\u306b\u66f8\u304d\u63db\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>y = 2.6689 * <sup>1.2264x<\/sup><\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u65b9\u7a0b\u5f0f\u3092\u4f7f\u7528\u3057\u3066\u3001\u4e88\u6e2c\u5b50\u5909\u6570<em>x<\/em>\u306e\u5024\u306b\u57fa\u3065\u3044\u3066\u5fdc\u7b54\u5909\u6570<em>y<\/em>\u3092\u4e88\u6e2c\u3067\u304d\u307e\u3059\u3002<\/span><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001 <em>x<\/em> = 12 \u306e\u5834\u5408\u3001 <em>y \u306f<\/em><strong>30.897<\/strong>\u306b\u306a\u308b\u3068\u4e88\u6e2c\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">y = 2.6689 * 1.2264 <sup>12<\/sup> = 30.897<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u30dc\u30fc\u30ca\u30b9:<\/strong>\u3053\u306e\u30aa\u30f3\u30e9\u30a4\u30f3\u6307\u6570\u56de\u5e30\u8a08\u7b97\u30c4\u30fc\u30eb\u3092\u81ea\u7531\u306b\u4f7f\u7528\u3057\u3066\u3001\u6307\u5b9a\u3055\u308c\u305f\u4e88\u6e2c\u5909\u6570\u3068\u5fdc\u7b54\u5909\u6570\u306e\u6307\u6570\u56de\u5e30\u5f0f\u3092\u81ea\u52d5\u7684\u306b\u8a08\u7b97\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\/python\u3066\u3099\u306e\u5358\u7d14\u306a\u7dda\u5f62\u56de\u5e30\/\" target=\"_blank\" rel=\"noopener\">Python \u3067\u5358\u7d14\u306a\u7dda\u5f62\u56de\u5e30\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u591a\u9805\u5f0f\u56de\u5e30python\/\" target=\"_blank\" rel=\"noopener\">Python \u3067\u591a\u9805\u5f0f\u56de\u5e30\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/python\u306e\u5206\u4f4d\u70b9\u56de\u5e30\/\" target=\"_blank\" rel=\"noopener\">Python \u3067\u5206\u4f4d\u70b9\u56de\u5e30\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6307\u6570\u56de\u5e30\u306f\u3001\u6b21\u306e\u72b6\u6cc1\u3092\u30e2\u30c7\u30eb\u5316\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b\u56de\u5e30\u306e\u4e00\u7a2e\u3067\u3059\u3002 1. \u6307\u6570\u95a2\u6570\u7684\u6210\u9577:\u6210\u9577\u306f\u3086\u3063\u304f\u308a\u3068\u59cb\u307e\u308a\u3001\u305d\u306e\u5f8c\u6025\u901f\u306b\u7121\u5236\u9650\u306b\u52a0\u901f\u3057\u307e\u3059\u3002 2. \u6307\u6570\u95a2\u6570\u7684\u6e1b\u8870:\u6e1b\u8870\u306f\u6025\u901f\u306b\u59cb\u307e\u308a\u3001\u5f90\u3005\u306b\u30bc\u30ed\u306b\u8fd1\u3065\u3044\u3066\u6e1b\u901f\u3057\u307e\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-1565","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>Python \u3067\u306e\u6307\u6570\u56de\u5e30 (\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7)<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u6307\u6570\u56de\u5e30\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u3001\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7\u306e\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, 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