{"id":1258,"date":"2023-07-27T02:41:58","date_gmt":"2023-07-27T02:41:58","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e7%9b%b8%e9%96%a2%e3%82%b9%e3%83%92%e3%82%9a%e3%82%a2%e3%83%9e%e3%83%b3-%e3%83%8f%e3%82%9a%e3%82%a4%e3%82%bd%e3%83%b3\/"},"modified":"2023-07-27T02:41:58","modified_gmt":"2023-07-27T02:41:58","slug":"%e7%9b%b8%e9%96%a2%e3%82%b9%e3%83%92%e3%82%9a%e3%82%a2%e3%83%9e%e3%83%b3-%e3%83%8f%e3%82%9a%e3%82%a4%e3%82%bd%e3%83%b3","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e7%9b%b8%e9%96%a2%e3%82%b9%e3%83%92%e3%82%9a%e3%82%a2%e3%83%9e%e3%83%b3-%e3%83%8f%e3%82%9a%e3%82%a4%e3%82%bd%e3%83%b3\/","title":{"rendered":"Python \u3067 spearman \u306e\u9806\u4f4d\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u7d71\u8a08\u5b66\u306b\u304a\u3044\u3066\u3001<strong>\u76f8\u95a2\u3068\u306f<\/strong>\u30012 \u3064\u306e\u5909\u6570\u9593\u306e\u95a2\u4fc2\u306e\u5f37\u3055\u3068\u65b9\u5411\u3092\u6307\u3057\u307e\u3059\u3002\u76f8\u95a2\u4fc2\u6570\u306e\u5024\u306e\u7bc4\u56f2\u306f -1 \u304b\u3089 1 \u3067\u3042\u308a\u3001\u6b21\u306e\u3088\u3046\u306b\u89e3\u91c8\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>-1:<\/strong> 2 \u3064\u306e\u5909\u6570\u9593\u306e\u5b8c\u5168\u306a\u8ca0\u306e\u95a2\u4fc2<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>0:<\/strong> 2 \u3064\u306e\u5909\u6570\u9593\u306b\u95a2\u4fc2\u304c\u306a\u3044<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>1:<\/strong> 2 \u3064\u306e\u5909\u6570\u9593\u306e\u5b8c\u5168\u306a\u6b63\u306e\u95a2\u4fc2<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u7279\u5225\u306a\u30bf\u30a4\u30d7\u306e\u76f8\u95a2\u95a2\u4fc2\u306f<strong>\u30b9\u30d4\u30a2\u30de\u30f3\u306e\u9806\u4f4d\u76f8\u95a2<\/strong>\u3068\u547c\u3070\u308c\u30012 \u3064\u306e\u30e9\u30f3\u30af\u4ed8\u3051\u3055\u308c\u305f\u5909\u6570\u9593\u306e\u76f8\u95a2\u3092\u6e2c\u5b9a\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002 (\u305f\u3068\u3048\u3070\u3001\u30af\u30e9\u30b9\u5185\u3067\u306e\u751f\u5f92\u306e\u6570\u5b66\u8a66\u9a13\u306e\u5f97\u70b9\u306e\u9806\u4f4d\u3068\u3001\u79d1\u5b66\u8a66\u9a13\u306e\u5f97\u70b9\u306e\u9806\u4f4d\u3068\u306e\u76f8\u5bfe\u7684\u306a\u95a2\u4fc2)\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067 2 \u3064\u306e\u5909\u6570\u9593\u306e\u30b9\u30d4\u30a2\u30de\u30f3\u9806\u4f4d\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b: Python \u3067\u306e Spearman \u9806\u4f4d\u76f8\u95a2<\/strong><\/span><\/h3>\n<p>\u7279\u5b9a\u306e\u30af\u30e9\u30b9\u306e 10 \u4eba\u306e\u751f\u5f92\u306e\u6570\u5b66\u8a66\u9a13\u306e\u5f97\u70b9\u3068\u79d1\u5b66\u8a66\u9a13\u306e\u5f97\u70b9<span style=\"color: #000000;\">\u3092\u542b\u3080\u6b21\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u304c\u3042\u308b\u3068\u3057\u307e\u3059<\/span><span style=\"color: #000000;\">\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> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n\n#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({'student': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J'],\n                   'math': [70, 78, 90, 87, 84, 86, 91, 74, 83, 85],\n                   'science': [90, 94, 79, 86, 84, 83, 88, 92, 76, 75]})\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6570\u5b66\u3068\u79d1\u5b66\u306e\u30b9\u30b3\u30a2\u9593\u306e\u30b9\u30d4\u30a2\u30de\u30f3 \u30e9\u30f3\u30af\u306e\u76f8\u95a2\u95a2\u4fc2\u3092\u8a08\u7b97\u3059\u308b\u306b\u306f\u3001 <strong>scipy.stats<\/strong>\u306e<a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.spearmanr.html\" target=\"_blank\" rel=\"noopener noreferrer\">spearmanr()<\/a>\u95a2\u6570\u3092\u4f7f\u7528\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: #008000;\"><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> spearmanr\n<\/span>\n#calculate Spearman Rank correlation and corresponding p-value<\/span><\/span>\nrho, p = spearmanr(df[' <span style=\"color: #008000;\">math<\/span> '], df[' <span style=\"color: #008000;\">science<\/span> '])\n\n<span style=\"color: #008080;\">#print Spearman rank correlation and p-value\n<\/span><span style=\"color: #3366ff;\">print<\/span> (rho)\n\n-0.41818181818181815\n\n<span style=\"color: #3366ff;\">print<\/span> (p)\n\n0.22911284098281892\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u3001Spearman \u9806\u4f4d\u76f8\u95a2\u306f<strong>-0.41818<\/strong>\u3067\u3001\u5bfe\u5fdc\u3059\u308b p \u5024\u306f<strong>0.22911<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u3001\u79d1\u5b66\u3068\u6570\u5b66\u306e\u8a66\u9a13\u306e\u5f97\u70b9\u306e\u9593\u306b\u8ca0\u306e\u76f8\u95a2\u95a2\u4fc2\u304c\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3060\u3057\u3001\u76f8\u95a2\u306e p \u5024\u306f 0.05 \u4ee5\u4e0a\u3067\u3042\u308b\u305f\u3081\u3001\u76f8\u95a2\u306f\u7d71\u8a08\u7684\u306b\u6709\u610f\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u5358\u7d14\u306b\u76f8\u95a2\u4fc2\u6570\u307e\u305f\u306f p \u5024\u3092\u62bd\u51fa\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\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;\">#extract Spearman Rank correlation coefficient\n<\/span>spearmanr(df[' <span style=\"color: #008000;\">math<\/span> '], df[' <span style=\"color: #008000;\">science<\/span> '])[0]\n\n-0.41818181818181815\n\n<span style=\"color: #008080;\">#extract p-value of Spearman Rank correlation coefficient<\/span>\nspearmanr(df[' <span style=\"color: #008000;\">math<\/span> '], df[' <span style=\"color: #008000;\">science<\/span> '])[1] \n\n0.22911284098281892\n<\/span><\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/ja\/r-\u3066\u3099\u306e\u76f8\u95a2\u30c6\u30b9\u30c8\/\" target=\"_blank\" rel=\"noopener noreferrer\">R \u3067\u30b9\u30d4\u30a2\u30de\u30f3\u306e\u9806\u4f4d\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30b9\u30d2\u309a\u30a2\u30de\u30f3\u306e\u30e9\u30f3\u30af\u76f8\u95a2\u30a8\u30af\u30bb\u30eb\/\" target=\"_blank\" rel=\"noopener noreferrer\">Excel \u3067\u30b9\u30d4\u30a2\u30de\u30f3\u306e\u30e9\u30f3\u30af\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u7d71\u8a08\u7684\u76f8\u95a2\u95a2\u4fc2\/\" target=\"_blank\" rel=\"noopener noreferrer\">Stata \u3067\u30b9\u30d4\u30a2\u30de\u30f3\u306e\u9806\u4f4d\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7d71\u8a08\u5b66\u306b\u304a\u3044\u3066\u3001\u76f8\u95a2\u3068\u306f\u30012 \u3064\u306e\u5909\u6570\u9593\u306e\u95a2\u4fc2\u306e\u5f37\u3055\u3068\u65b9\u5411\u3092\u6307\u3057\u307e\u3059\u3002\u76f8\u95a2\u4fc2\u6570\u306e\u5024\u306e\u7bc4\u56f2\u306f -1 \u304b\u3089 1 \u3067\u3042\u308a\u3001\u6b21\u306e\u3088\u3046\u306b\u89e3\u91c8\u3055\u308c\u307e\u3059\u3002 -1: 2 \u3064\u306e\u5909\u6570\u9593\u306e\u5b8c\u5168\u306a\u8ca0\u306e\u95a2\u4fc2 0: 2 \u3064\u306e\u5909\u6570\u9593\u306b\u95a2\u4fc2\u304c\u306a\u3044 1: [&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-1258","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 Spearman \u306e\u9806\u4f4d\u76f8\u95a2\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 Spearman \u9806\u4f4d\u76f8\u95a2\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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