{"id":1281,"date":"2023-07-27T00:47:36","date_gmt":"2023-07-27T00:47:36","guid":{"rendered":"https:\/\/statorials.org\/ja\/python%e3%81%ae%e7%b5%b6%e5%af%be%e5%81%8f%e5%b7%ae%e3%81%ae%e4%b8%ad%e5%a4%ae%e5%80%a4\/"},"modified":"2023-07-27T00:47:36","modified_gmt":"2023-07-27T00:47:36","slug":"python%e3%81%ae%e7%b5%b6%e5%af%be%e5%81%8f%e5%b7%ae%e3%81%ae%e4%b8%ad%e5%a4%ae%e5%80%a4","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/python%e3%81%ae%e7%b5%b6%e5%af%be%e5%81%8f%e5%b7%ae%e3%81%ae%e4%b8%ad%e5%a4%ae%e5%80%a4\/","title":{"rendered":"Python \u3067\u7d76\u5bfe\u4e2d\u592e\u5024\u504f\u5dee\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u7d76\u5bfe\u504f\u5dee\u306e\u4e2d\u592e\u5024\u306f\u3001<\/strong>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e<a href=\"https:\/\/statorials.org\/ja\/\u7d71\u8a08\u306b\u304a\u3051\u308b\u89b3\u5bdf\/\" target=\"_blank\" rel=\"noopener\">\u89b3\u6e2c\u5024<\/a>\u306e\u5206\u5e03\u3092\u6e2c\u5b9a\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u3001\u6a19\u6e96\u504f\u5dee\u3084\u5206\u6563\u306a\u3069\u306e\u4ed6\u306e\u5206\u6563\u306e\u5c3a\u5ea6\u3088\u308a\u3082\u5916\u308c\u5024\u306e\u5f71\u97ff\u304c\u5c11\u306a\u3044\u305f\u3081\u3001\u7279\u306b\u4fbf\u5229\u306a\u5c3a\u5ea6\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u7d76\u5bfe\u4e2d\u592e\u5024\u504f\u5dee (MAD \u3068\u7565\u3055\u308c\u308b\u3053\u3068\u3082\u3042\u308a\u307e\u3059) \u3092\u8a08\u7b97\u3059\u308b\u5f0f\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>MAD = \u4e2d\u592e\u5024 (|x <sub>i<\/sub> \u2013 x <sub>m<\/sub> |)<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x <sub>i<\/sub> :<\/strong>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e<sup>i \u756a\u76ee\u306e<\/sup>\u5024<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>x <sub>m<\/sub> :<\/strong>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u4e2d\u592e\u5024<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001Python \u3067<a href=\"https:\/\/www.statsmodels.org\/stable\/index.html\" target=\"_blank\" rel=\"noopener\">statsmodels<\/a> <strong>mad<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u4e2d\u592e\u7d76\u5bfe\u504f\u5dee\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: \u30c6\u30fc\u30d6\u30eb\u306e MAD \u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001Python \u3067\u5358\u4e00\u306e NumPy \u914d\u5217\u306e\u4e2d\u592e\u7d76\u5bfe\u504f\u5dee\u3092\u8a08\u7b97\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: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008000;\">from<\/span> statsmodels <span style=\"color: #008000;\">import<\/span> robust<\/span>\n\n#define data\n<\/span>data = np. <span style=\"color: #3366ff;\">array<\/span> ([1, 4, 4, 7, 12, 13, 16, 19, 22, 24])\n\n<span style=\"color: #008080;\">#calculate MAD\n<\/span>robust. <span style=\"color: #3366ff;\">mad<\/span> (data)\n\n11.1195\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u7d76\u5bfe\u504f\u5dee\u306e\u4e2d\u592e\u5024\u306f<strong>11.1195<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">MAD \u306e\u8a08\u7b97\u306b\u4f7f\u7528\u3055\u308c\u308b\u5f0f\u306f\u3001\u7d50\u679c\u3092\u7d04 0.67 \u306e\u4fc2\u6570\u3067\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001<a href=\"https:\/\/statorials.org\/ja\/\u6b63\u898f\u5206\u5e03-1\/\" target=\"_blank\" rel=\"noopener\">\u6b63\u898f\u5206\u5e03<\/a>\u3092\u4eee\u5b9a\u3057\u3066\u6a19\u6e96\u504f\u5dee\u306e\u30ed\u30d0\u30b9\u30c8\u306a\u63a8\u5b9a\u5024\u3092\u8a08\u7b97\u3059\u308b\u3053\u3068\u306b\u6ce8\u610f\u3059\u308b\u3053\u3068\u304c\u91cd\u8981\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u4fc2\u6570\u306e\u4f7f\u7528\u3092\u56de\u907f\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u3088\u3046\u306b\u5358\u306b c = 1 \u3092\u8a2d\u5b9a\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate MAD without scaling factor\n<\/span>robust. <span style=\"color: #3366ff;\">mad<\/span> (data, c=1)\n\n7.5<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e MAD \u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001pandas DataFrame \u306e\u5358\u4e00\u5217\u306e MAD \u3092\u8a08\u7b97\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: #008080;\">#make this example reproducible\n<\/span>n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">seeds<\/span> (1)\n\n<span style=\"color: #008080;\">#create pandas DataFrame\n<\/span>data = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ( <span style=\"color: #3366ff;\">np.random.randint<\/span> (0,10,size=(5,3)),columns <span style=\"color: #3366ff;\">=<\/span> [' <span style=\"color: #008000;\">A<\/span> ',' <span style=\"color: #008000;\">B<\/span> ',' <span style=\"color: #008000;\">C<\/span> '])\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>data\n\n        A B C\n0 5 8 9\n1 5 0 0\n2 1 7 6\n3 9 2 4\n4 5 2 4\n\n<span style=\"color: #008080;\">#calculate MAD for column <em>B<\/em>\n<span style=\"color: #000000;\">data[[' <span style=\"color: #008000;\">B<\/span> ']]. <span style=\"color: #3366ff;\">apply<\/span> (robust. <span style=\"color: #3366ff;\">mad<\/span> )\n\nB 2.965204\ndtype:float64<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5217<em>B<\/em>\u306e\u7d76\u5bfe\u4e2d\u592e\u504f\u5dee\u306f<strong>2.965204<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u540c\u69d8\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001pandas DataFrame \u306e\u8907\u6570\u306e\u5217\u306e MAD \u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#calculate MAD for all columns<\/span>\ndata[[' <span style=\"color: #008000;\">A<\/span> ',' <span style=\"color: #008000;\">B<\/span> ',' <span style=\"color: #008000;\">C<\/span> ']]. <span style=\"color: #3366ff;\">apply<\/span> (robust. <span style=\"color: #3366ff;\">mad<\/span> )\n\nAt 0.000000\nB 2.965204\nC 2.965204\ndtype:float64\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d76\u5bfe\u4e2d\u592e\u5024\u504f\u5dee\u306f\u3001\u5217 A \u3067\u306f<b>0<\/b> \u3001\u5217 B \u3067\u306f<strong>2.965204<\/strong> \u3001\u5217 C \u3067\u306f<b>2.965204<\/b>\u3067\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\/\u30cf\u309a\u30a4\u30bd\u30f3\u30ab\u30fc\u30c8\u3099\/\" target=\"_blank\" rel=\"noopener\">Python \u3067 MAPE \u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30b9\u30de\u30c3\u30d5\u309a\u30cf\u309a\u30a4\u30bd\u30f3\/\" target=\"_blank\" rel=\"noopener\">Python \u3067 SMAPE \u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/rmsepython\/\" target=\"_blank\" rel=\"noopener\">Python \u3067 RMSE \u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7d76\u5bfe\u504f\u5dee\u306e\u4e2d\u592e\u5024\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u89b3\u6e2c\u5024\u306e\u5206\u5e03\u3092\u6e2c\u5b9a\u3057\u307e\u3059\u3002 \u3053\u308c\u306f\u3001\u6a19\u6e96\u504f\u5dee\u3084\u5206\u6563\u306a\u3069\u306e\u4ed6\u306e\u5206\u6563\u306e\u5c3a\u5ea6\u3088\u308a\u3082\u5916\u308c\u5024\u306e\u5f71\u97ff\u304c\u5c11\u306a\u3044\u305f\u3081\u3001\u7279\u306b\u4fbf\u5229\u306a\u5c3a\u5ea6\u3067\u3059\u3002 \u7d76\u5bfe\u4e2d\u592e\u5024\u504f\u5dee (MAD \u3068\u7565\u3055\u308c\u308b\u3053\u3068\u3082\u3042\u308a\u307e\u3059) \u3092\u8a08\u7b97 [&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-1281","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\u7d76\u5bfe\u4e2d\u592e\u5024\u504f\u5dee\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u4e2d\u592e\u7d76\u5bfe\u504f\u5dee\u3092\u8a08\u7b97\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 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