{"id":1552,"date":"2023-07-25T22:07:10","date_gmt":"2023-07-25T22:07:10","guid":{"rendered":"https:\/\/statorials.org\/ja\/python%e3%81%ae%e5%8d%81%e5%88%86%e4%bd%8d%e6%95%b0\/"},"modified":"2023-07-25T22:07:10","modified_gmt":"2023-07-25T22:07:10","slug":"python%e3%81%ae%e5%8d%81%e5%88%86%e4%bd%8d%e6%95%b0","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/python%e3%81%ae%e5%8d%81%e5%88%86%e4%bd%8d%e6%95%b0\/","title":{"rendered":"Python \u3067\u5341\u5206\u4f4d\u6570\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5: \u4f8b\u4ed8\u304d"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u7d71\u8a08\u306b\u304a\u3044\u3066\u3001\u5341\u5206\u4f4d\u3068\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u540c\u3058\u983b\u5ea6\u306e 10 \u500b\u306e\u30b0\u30eb\u30fc\u30d7\u306b\u5206\u5272\u3059\u308b<strong>\u6570\u5024<\/strong>\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6700\u521d\u306e\u5341\u5206\u4f4d\u6570\u306f\u3001\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u5024\u306e 10% \u304c\u4e0b\u56de\u308b\u70b9\u3067\u3059\u3002\u7b2c 2 \u5341\u5206\u4f4d\u70b9\u306f\u3001\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u5024\u306e 20% \u304c\u4e0b\u56de\u308b\u70b9\u306a\u3069\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001Python \u3067\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5341\u5206\u4f4d\u6570\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\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\nn.p. <span style=\"color: #3366ff;\">percentile<\/span> (var, np. <span style=\"color: #3366ff;\">arange<\/span> (0, 100, 10))\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u95a2\u6570\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: Python \u3067\u5341\u5206\u4f4d\u6570\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u300120 \u500b\u306e\u5024\u3092\u542b\u3080\u507d\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\u3057\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5341\u5206\u4f4d\u5024\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;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createdata\n<\/span>data = np. <span style=\"color: #3366ff;\">array<\/span> ([56, 58, 64, 67, 68, 73, 78, 83, 84, 88,\n                 89, 90, 91, 92, 93, 93, 94, 95, 97, 99])\n\n<span style=\"color: #008080;\">#calculate deciles of data\n<\/span>n.p. <span style=\"color: #3366ff;\">percentile<\/span> (data, np. <span style=\"color: #3366ff;\">arange<\/span> (0, 100, 10))\n\narray([56., 63.4, 67.8, 76.5, 83.6, 88.5, 90.4, 92.3, 93.2, 95.2])<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u5341\u5206\u4f4d\u6570\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u5024\u306e 10% \u304c<strong>63.4<\/strong>\u672a\u6e80\u3067\u3059<\/span><\/li>\n<li><span style=\"color: #000000;\">\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u5024\u306e 20% \u304c<strong>67.8<\/strong>\u672a\u6e80\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u5024\u306e 30% \u304c<strong>76.5<\/strong>\u672a\u6e80\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u5024\u306e 40% \u304c<strong>83.6<\/strong>\u672a\u6e80\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u5024\u306e 50% \u304c<strong>88.5<\/strong>\u672a\u6e80\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u5024\u306e 60% \u304c<strong>90.4<\/strong>\u672a\u6e80\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u5024\u306e 70% \u304c<strong>92.3<\/strong>\u672a\u6e80\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u5024\u306e 80% \u304c<strong>93.2<\/strong>\u672a\u6e80\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u5024\u306e 90% \u304c<strong>95.2<\/strong>\u672a\u6e80\u3067\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u51fa\u529b\u306e\u6700\u521d\u306e\u5024 (56) \u306f\u5358\u306b\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u306e\u6700\u5c0f\u5024\u3092\u793a\u3057\u3066\u3044\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b: Python \u3067\u5341\u5206\u4f4d\u6570\u306b\u5024\u3092\u914d\u7f6e\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5404\u30c7\u30fc\u30bf\u5024\u3092\u5341\u5206\u4f4d\u6570\u306b\u914d\u7f6e\u3059\u308b\u306b\u306f\u3001pandas <strong>qcut<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u524d\u306e\u4f8b\u3067\u4f5c\u6210\u3057\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u5bfe\u3057\u3066\u3053\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\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: #993300;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#create data frame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">values<\/span> ': [56, 58, 64, 67, 68, 73, 78, 83, 84, 88,\n                              89, 90, 91, 92, 93, 93, 94, 95, 97, 99]})\n\n<span style=\"color: #008080;\">#calculate decile of each value in data frame\n<\/span>df[' <span style=\"color: #ff0000;\">Decile<\/span> '] = pd. <span style=\"color: #3366ff;\">qcut<\/span> (df[' <span style=\"color: #ff0000;\">values<\/span> '], 10, labels= <span style=\"color: #008000;\">False<\/span> )\n\n<span style=\"color: #008080;\">#display data frame\n<\/span>df\n\n\tvalues Decile\n0 56 0\n1 58 0\n2 64 1\n3 67 1\n4 68 2\n5 73 2\n6 78 3\n7 83 3\n8 84 4\n9 88 4\n10 89 5\n11 90 5\n12 91 6\n13 92 6\n14 93 7\n15 93 7\n16 94 8\n17 95 8\n18 97 9\n19 99 9<\/span>\n<\/span><\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u30c7\u30fc\u30bf\u5024 56 \u306f\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb 0% \u3068 10% \u306e\u9593\u306b\u3042\u308b\u305f\u3081\u3001\u5341\u5206\u4f4d\u6570<strong>0<\/strong>\u306b\u306a\u308a\u307e\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u30c7\u30fc\u30bf\u5024 58 \u306f\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb 0% \u3068 10% \u306e\u9593\u306b\u3042\u308b\u305f\u3081\u3001\u5341\u5206\u4f4d\u6570<strong>0<\/strong>\u306b\u306a\u308a\u307e\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u30c7\u30fc\u30bf\u5024 64 \u306f 10% \u3068 20% \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u306e\u9593\u306b\u3042\u308b\u305f\u3081\u3001\u5341\u5206\u4f4d\u6570<strong>1<\/strong>\u306b\u3042\u308a\u307e\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u30c7\u30fc\u30bf\u5024 67 \u306f 10% \u3068 20% \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u306e\u9593\u306b\u3042\u308b\u305f\u3081\u3001\u5341\u5206\u4f4d<strong>1<\/strong>\u306b\u8a72\u5f53\u3057\u307e\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u30c7\u30fc\u30bf\u5024 68 \u306f 20% \u3068 30% \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u306e\u9593\u306b\u3042\u308b\u305f\u3081\u3001\u5341\u5206\u4f4d<strong>2<\/strong>\u306b\u8a72\u5f53\u3057\u307e\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u7b49\u3005\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\u306e\u30cf\u309a\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\/\" target=\"_blank\" rel=\"noopener\">Python \u3067\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/python\u306e\u56db\u5206\u4f4d\u7bc4\u56f2\/\" target=\"_blank\" rel=\"noopener\">Python \u3067\u56db\u5206\u4f4d\u7bc4\u56f2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7d71\u8a08\u306b\u304a\u3044\u3066\u3001\u5341\u5206\u4f4d\u3068\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u540c\u3058\u983b\u5ea6\u306e 10 \u500b\u306e\u30b0\u30eb\u30fc\u30d7\u306b\u5206\u5272\u3059\u308b\u6570\u5024\u3067\u3059\u3002 \u6700\u521d\u306e\u5341\u5206\u4f4d\u6570\u306f\u3001\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u5024\u306e 10% \u304c\u4e0b\u56de\u308b\u70b9\u3067\u3059\u3002\u7b2c 2 \u5341\u5206\u4f4d\u70b9\u306f\u3001\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u5024\u306e 20% \u304c\u4e0b\u56de\u308b\u70b9\u306a\u3069\u3067\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-1552","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\u5341\u5206\u4f4d\u6570\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5: \u4f8b\u4ed8\u304d<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u5341\u5206\u4f4d\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 rel=\"canonical\" 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