{"id":828,"date":"2023-07-28T14:58:44","date_gmt":"2023-07-28T14:58:44","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e7%95%b0%e5%b8%b8%e5%80%a4%e3%82%92%e5%89%8a%e9%99%a4%e3%81%99%e3%82%8bpython\/"},"modified":"2023-07-28T14:58:44","modified_gmt":"2023-07-28T14:58:44","slug":"%e7%95%b0%e5%b8%b8%e5%80%a4%e3%82%92%e5%89%8a%e9%99%a4%e3%81%99%e3%82%8bpython","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e7%95%b0%e5%b8%b8%e5%80%a4%e3%82%92%e5%89%8a%e9%99%a4%e3%81%99%e3%82%8bpython\/","title":{"rendered":"Python \u3067\u5916\u308c\u5024\u3092\u524a\u9664\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u5916\u308c\u5024<\/strong>\u3068\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u4ed6\u306e\u5024\u304b\u3089\u7570\u5e38\u306b\u96e2\u308c\u3066\u3044\u308b\u89b3\u6e2c\u5024\u3067\u3059\u3002\u5916\u308c\u5024\u306f\u5206\u6790\u7d50\u679c\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u305f\u3081\u3001\u554f\u984c\u3068\u306a\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u5916\u308c\u5024\u3092\u7279\u5b9a\u3057\u3066\u524a\u9664\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Python \u3067\u5916\u308c\u5024\u3092\u7279\u5b9a\u3059\u308b\u65b9\u6cd5<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5916\u308c\u5024\u3092\u524a\u9664\u3059\u308b\u524d\u306b\u3001\u307e\u305a\u4f55\u3092\u5916\u308c\u5024\u3068\u307f\u306a\u3059\u304b\u3092\u6c7a\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u3092\u884c\u3046\u306b\u306f\u3001\u6b21\u306e 2 \u3064\u306e\u4e00\u822c\u7684\u306a\u65b9\u6cd5\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. \u56db\u5206\u4f4d\u7bc4\u56f2\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u56db\u5206\u4f4d\u7bc4\u56f2 (IQR) \u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e 75 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb (Q3) \u3068 25 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb (Q1) \u306e\u5dee\u3067\u3059\u3002\u5024\u306e\u5e73\u5747 50% \u306e\u5206\u5e03\u3092\u6e2c\u5b9a\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u89b3\u6e2c\u5024\u304c\u7b2c 3 \u56db\u5206\u4f4d (Q3) \u3088\u308a\u4e0a\u306e\u56db\u5206\u4f4d\u7bc4\u56f2\u306e 1.5 \u500d\u3001\u307e\u305f\u306f\u7b2c 1 \u56db\u5206\u4f4d (Q1) \u3088\u308a\u4e0b\u306e\u56db\u5206\u4f4d\u7bc4\u56f2\u306e 1.5 \u500d\u3067\u3042\u308b\u5834\u5408\u3001\u305d\u306e\u89b3\u6e2c\u5024\u3092\u5916\u308c\u5024\u3068\u3057\u3066\u5b9a\u7fa9\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u7570\u5e38\u5024 = \u89b3\u6e2c\u5024 &gt; Q3 + 1.5*IQR \u307e\u305f\u306f Q1 \u2013 1.5*IQR<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2. Z \u30b9\u30b3\u30a2\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/z\u30b9\u30b3\u30a2python\/\" target=\"_blank\" rel=\"noopener\">Z \u30b9\u30b3\u30a2\u306f\u3001<\/a>\u6307\u5b9a\u3055\u308c\u305f\u5024\u304c\u5e73\u5747\u304b\u3089\u3069\u308c\u3060\u3051\u6a19\u6e96\u504f\u5dee\u304c\u3042\u308b\u304b\u3092\u793a\u3057\u307e\u3059\u3002\u6b21\u306e\u5f0f\u3092\u4f7f\u7528\u3057\u3066 Z \u30b9\u30b3\u30a2\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>z<\/strong> = (X \u2013 \u03bc) \/ \u03c3<\/span><\/p>\n<p><span style=\"color: #000000;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">X \u306f\u5358\u4e00\u306e\u751f\u30c7\u30fc\u30bf\u5024\u3067\u3059<\/span><\/li>\n<li><span style=\"color: #000000;\">\u03bc \u306f\u6bcd\u5e73\u5747\u3067\u3059<\/span><\/li>\n<li><span style=\"color: #000000;\">\u03c3 \u306f\u6bcd\u96c6\u56e3\u306e\u6a19\u6e96\u504f\u5dee\u3067\u3059<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">Z \u30b9\u30b3\u30a2\u304c -3 \u672a\u6e80\u307e\u305f\u306f 3 \u3088\u308a\u5927\u304d\u3044\u5834\u5408\u3001\u89b3\u6e2c\u5024\u3092\u5916\u308c\u5024\u3068\u3057\u3066\u5b9a\u7fa9\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u5916\u308c\u5024 = Z \u30b9\u30b3\u30a2\u304c 3 \u3092\u8d85\u3048\u308b\u3001\u307e\u305f\u306f -3 \u672a\u6e80\u306e\u89b3\u6e2c\u5024<\/strong><\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>Python \u3067\u5916\u308c\u5024\u3092\u524a\u9664\u3059\u308b\u65b9\u6cd5<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4f55\u304c\u5916\u308c\u5024\u3067\u3042\u308b\u3068\u8003\u3048\u308b\u304b\u3092\u6c7a\u5b9a\u3057\u305f\u3089\u3001\u305d\u308c\u3089\u3092\u7279\u5b9a\u3057\u3066\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304b\u3089\u524a\u9664\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u3092\u884c\u3046\u65b9\u6cd5\u3092\u793a\u3059\u305f\u3081\u306b\u3001\u6b21\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import <span style=\"color: #000000;\">pandas<\/span> as <span style=\"color: #000000;\">pd<\/span> \nimport<\/span> scipy.stats <span style=\"color: #107d3f;\">as<\/span> stats\n\n<span style=\"color: #008080;\">#create dataframe with three columns 'A', 'B', 'C'<\/span>\nnp.random.seed(10)\ndata = pd.DataFrame(np.random.randint(0, 10, size=(100, 3)), columns=['A', 'B', 'C'])\n<span style=\"color: #008080;\">\n#view first 10 rows<\/span>\ndata[:10]\n\n           ABC\n0 13.315865 7.152790 -15.454003\n1 -0.083838 6.213360 -7.200856\n2 2.655116 1.085485 0.042914\n3 -1.746002 4.330262 12.030374\n4 -9.650657 10.282741 2.286301\n5 4.451376 -11.366022 1.351369\n6 14.845370 -10.798049 -19.777283\n7 -17.433723 2.660702 23.849673\n8 11.236913 16.726222 0.991492\n9 13.979964 -2.712480 6.132042\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001Z \u30b9\u30b3\u30a2\u6cd5\u307e\u305f\u306f\u56db\u5206\u4f4d\u7bc4\u56f2\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u5916\u308c\u5024\u3092\u5b9a\u7fa9\u3057\u3001\u524a\u9664\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Z\u30b9\u30b3\u30a2\u6cd5:<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find absolute value of z-score for each observation<\/span>\nz = np.abs(stats.zscore(data))\n\n<span style=\"color: #008080;\">#only keep rows in dataframe with all z-scores less than absolute value of 3<\/span> \ndata_clean = data[(z&lt;3).all(axis=1)]\n\n<span style=\"color: #008080;\">#find how many rows are left in the dataframe<\/span> \ndata_clean.shape\n\n(99.3)\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u56db\u5206\u4f4d\u7bc4\u56f2\u6cd5:<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find Q1, Q3, and interquartile range for each column<\/span>\nQ1 = data.quantile(q=.25)\nQ3 = data.quantile(q=.75)\nIQR = data.apply(stats.iqr)\n\n<span style=\"color: #008080;\">#only keep rows in dataframe that have values within 1.5*IQR of Q1 and Q3<\/span>\ndata_clean = data[~((data &lt; (Q1-1.5*IQR)) | (data &gt; (Q3+1.5*IQR))).any(axis=1)]\n<span style=\"color: #008080;\">\n#find how many rows are left in the dataframe<\/span> \ndata_clean.shape\n\n(89.3)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">za \u30b9\u30b3\u30a2\u6cd5\u3067\u306f 1 \u3064\u306e\u89b3\u6e2c\u5024\u304c\u5916\u308c\u5024\u3068\u3057\u3066\u7279\u5b9a\u3055\u308c\u3066\u524a\u9664\u3055\u308c\u305f\u306e\u306b\u5bfe\u3057\u3001\u56db\u5206\u4f4d\u7bc4\u56f2\u6cd5\u3067\u306f\u5408\u8a08 11 \u3064\u306e\u89b3\u6e2c\u5024\u304c\u5916\u308c\u5024\u3068\u3057\u3066\u7279\u5b9a\u3055\u308c\u3066\u524a\u9664\u3055\u308c\u305f\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<h3><strong>\u5916\u308c\u5024\u3092\u524a\u9664\u3059\u308b\u5834\u5408<\/strong><\/h3>\n<p><span style=\"color: #000000;\">\u30c7\u30fc\u30bf\u306b 1 \u3064\u4ee5\u4e0a\u306e\u5916\u308c\u5024\u304c\u5b58\u5728\u3059\u308b\u5834\u5408\u306f\u3001\u307e\u305a\u3001\u305d\u308c\u3089\u304c\u30c7\u30fc\u30bf\u5165\u529b\u30a8\u30e9\u30fc\u306e\u7d50\u679c\u3067\u306f\u306a\u3044\u3053\u3068\u3092\u78ba\u8a8d\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u30c7\u30fc\u30bf\u3092\u4fdd\u5b58\u3059\u308b\u3068\u304d\u306b\u3001\u5358\u7d14\u306b\u9593\u9055\u3063\u305f\u30c7\u30fc\u30bf\u5024\u3092\u5165\u529b\u3057\u3066\u3057\u307e\u3046\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p>\u5916\u308c\u5024\u304c\u30c7\u30fc\u30bf\u5165\u529b\u30a8\u30e9\u30fc\u306e\u7d50\u679c\u3067\u3042\u308b\u3053\u3068\u304c\u5224\u660e\u3057\u305f\u5834\u5408\u306f\u3001<span style=\"color: #000000;\">\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u306e<\/span><a href=\"https:\/\/statorials.org\/ja\/\u4e2d\u5fc3\u50be\u5411\u3092\u6e2c\u5b9a\u3059\u308b\/\" target=\"_blank\" rel=\"noopener\">\u5e73\u5747\u3084\u4e2d\u592e\u5024<\/a><span style=\"color: #000000;\">\u306a\u3069\u306e\u65b0\u3057\u3044\u5024\u3092\u5272\u308a\u5f53\u3066\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059<\/span>\u3002<\/p>\n<p><span style=\"color: #000000;\">\u5024\u304c\u672c\u5f53\u306b\u5916\u308c\u5024\u3067\u3042\u308a\u3001\u5206\u6790\u5168\u4f53\u306b\u91cd\u5927\u306a\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u5834\u5408\u306f\u3001\u305d\u306e\u5024\u3092\u524a\u9664\u3059\u308b\u3053\u3068\u3092\u9078\u629e\u3067\u304d\u307e\u3059\u3002\u6700\u7d42\u30ec\u30dd\u30fc\u30c8\u307e\u305f\u306f\u5206\u6790\u3067\u306f\u3001\u5916\u308c\u5024\u3092\u524a\u9664\u3057\u305f\u3053\u3068\u3092\u5fc5\u305a\u660e\u8a18\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u8907\u6570\u306e\u5909\u6570\u3092\u540c\u6642\u306b\u64cd\u4f5c\u3057\u3066\u3044\u308b\u5834\u5408\u306f\u3001 <a href=\"https:\/\/statorials.org\/ja\/\u30de\u30cf\u30e9\u30ce\u30d2\u3099\u30b9\u30ea\u30e2\u30fc\u30c8python\/\" target=\"_blank\" rel=\"noopener\">\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092<\/a>\u4f7f\u7528\u3057\u3066\u5916\u308c\u5024\u3092\u691c\u51fa\u3059\u308b\u3068\u3088\u3044\u3067\u3057\u3087\u3046\u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5916\u308c\u5024\u3068\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u4ed6\u306e\u5024\u304b\u3089\u7570\u5e38\u306b\u96e2\u308c\u3066\u3044\u308b\u89b3\u6e2c\u5024\u3067\u3059\u3002\u5916\u308c\u5024\u306f\u5206\u6790\u7d50\u679c\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u305f\u3081\u3001\u554f\u984c\u3068\u306a\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002 \u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u5916\u308c\u5024\u3092\u7279\u5b9a\u3057\u3066\u524a\u9664\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e [&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-828","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\u5916\u308c\u5024\u3092\u524a\u9664\u3059\u308b\u65b9\u6cd5 \u2013 Statology<\/title>\n<meta name=\"description\" content=\"Python \u3067\u5916\u308c\u5024\u3092\u7279\u5b9a\u3057\u3066\u524a\u9664\u3059\u308b\u65b9\u6cd5\u3092\u7c21\u5358\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, 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