{"id":1519,"date":"2023-07-26T01:16:58","date_gmt":"2023-07-26T01:16:58","guid":{"rendered":"https:\/\/statorials.org\/ja\/python%e5%88%86%e5%89%b2%e8%a1%a8\/"},"modified":"2023-07-26T01:16:58","modified_gmt":"2023-07-26T01:16:58","slug":"python%e5%88%86%e5%89%b2%e8%a1%a8","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/python%e5%88%86%e5%89%b2%e8%a1%a8\/","title":{"rendered":"Python \u3067\u5206\u5272\u8868\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u5206\u5272\u8868\u306f\u3001<\/strong> 2 \u3064\u306e\u30ab\u30c6\u30b4\u30ea\u5909\u6570\u9593\u306e\u95a2\u4fc2\u3092\u8981\u7d04\u3059\u308b\u8868\u306e\u4e00\u7a2e\u3067\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">Python \u3067\u5206\u5272\u8868\u3092\u4f5c\u6210\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3059\u308b<a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.crosstab.html\" target=\"_blank\" rel=\"noopener\">pandas.crosstab()<\/a>\u95a2\u6570\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>pandas.crosstab(\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3001\u5217)<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>Index:<\/strong>\u5206\u5272\u8868\u306e\u884c\u306b\u8868\u793a\u3059\u308b\u5909\u6570\u306e\u540d\u524d<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>columns:<\/strong>\u5206\u5272\u8868\u306e\u5217\u306b\u8868\u793a\u3059\u308b\u5909\u6570\u306e\u540d\u524d<\/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\u3001\u3053\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066 Python \u3067\u5206\u5272\u8868\u3092\u4f5c\u6210\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\u3001\u8cfc\u5165\u3057\u305f\u88fd\u54c1\u306e\u7a2e\u985e (\u30c6\u30ec\u30d3\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u3001\u30e9\u30b8\u30aa) \u3084\u88fd\u54c1\u3092\u8cfc\u5165\u3057\u305f\u56fd (A\u3001B\u3001\u307e\u305f\u306f C) \u306a\u3069\u300120 \u306e\u7570\u306a\u308b\u88fd\u54c1\u6ce8\u6587\u306b\u95a2\u3059\u308b\u60c5\u5831\u3092\u8868\u793a\u3059\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\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> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#create data<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({'Order': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10,\n                            11, 12, 13, 14, 15, 16, 17, 18, 19, 20],\n                   'Product': ['TV', 'TV', 'Comp', 'TV', 'TV', 'Comp',\n                               'Comp', 'Comp', 'TV', 'Radio', 'TV', 'Radio', 'Radio',\n                               'Radio', 'Comp', 'Comp', 'TV', 'TV', 'Radio', 'TV'],\n                   'Country': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B', 'B', 'B',\n                               'B', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C']})\n\n<span style=\"color: #008080;\">#view data\n<\/span>df\n\n        Order Product Country\n0 1 TV A\n1 2 TV A\n2 3 Comp A\n3 4 TV A\n4 5 TV B\n5 6 Comp B\n6 7 Comp B\n7 8 Comp B\n8 9 TV B\n9 10 Radio B\n10 11 TV B\n11 12 Radio B\n12 13 Radio C\n13 14 Radio C\n14 15 Comp C\n15 16 Comp C\n16 17 TV C\n17 18 TV C\n18 19 Radio C\n19 20 TV C<\/strong><\/pre>\n<h3><strong><span style=\"color: #000000;\">\u30b9\u30c6\u30c3\u30d7 2: \u5206\u5272\u8868\u3092\u4f5c\u6210\u3059\u308b<\/span><\/strong><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u5404\u56fd\u3054\u3068\u306b\u6ce8\u6587\u3055\u308c\u305f\u5404\u88fd\u54c1\u306e\u6570\u3092\u30ab\u30a6\u30f3\u30c8\u3059\u308b\u5206\u5272\u8868\u3092\u4f5c\u6210\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;\">#create contingency table<\/span>\np.d. <span style=\"color: #3366ff;\">crosstab<\/span> (index=df[' <span style=\"color: #008000;\">Country<\/span> '], columns=df[' <span style=\"color: #008000;\">Product<\/span> '])\n\nProduct Comp Radio TV\nCountry\t\t\t\nA 1 0 3\nB 3 2 3\nC 2 3 3<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8868\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;\">\u5408\u8a08<strong>1 \u53f0<\/strong>\u306e\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u304c A \u56fd\u3067\u8cfc\u5165\u3055\u308c\u307e\u3057\u305f\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">B \u56fd\u3067\u306f\u5408\u8a08<strong>3 \u53f0<\/strong>\u306e\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u3092\u8cfc\u5165\u3057\u307e\u3057\u305f\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u5408\u8a08<strong>2 \u53f0<\/strong>\u306e\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u3092 C \u56fd\u3067\u8cfc\u5165\u3057\u307e\u3057\u305f\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">A \u56fd\u3067\u8cfc\u5165\u3055\u308c\u305f\u7121\u7dda\u6a5f\u306f\u5408\u8a08<strong>0 \u53f0<\/strong>\u3067\u3057\u305f\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u5408\u8a08<strong>2 \u53f0<\/strong>\u306e\u30e9\u30b8\u30aa\u3092 B \u56fd\u3067\u8cfc\u5165\u3057\u307e\u3057\u305f\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">C \u56fd\u3067\u306f\u5408\u8a08<strong>3 \u53f0<\/strong>\u306e\u30e9\u30b8\u30aa\u3092\u8cfc\u5165\u3057\u307e\u3057\u305f\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">A\u56fd\u3067\u306f\u5408\u8a08<strong>3\u53f0\u306e<\/strong>\u30c6\u30ec\u30d3\u3092\u8cfc\u5165\u3057\u307e\u3057\u305f\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">B \u56fd\u3067\u306f\u5408\u8a08<strong>3 \u53f0\u306e<\/strong>\u30c6\u30ec\u30d3\u3092\u8cfc\u5165\u3057\u307e\u3057\u305f\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">C \u56fd\u3067\u306f\u5408\u8a08<strong>3 \u53f0\u306e<\/strong>\u30c6\u30ec\u30d3\u3092\u8cfc\u5165\u3057\u307e\u3057\u305f\u3002<\/span><\/li>\n<\/ul>\n<h3><strong><span style=\"color: #000000;\">\u30b9\u30c6\u30c3\u30d7 3: \u5206\u5272\u8868\u306b\u30de\u30fc\u30b8\u30f3\u5408\u8a08\u3092\u8ffd\u52a0\u3059\u308b<\/span><\/strong><\/h3>\n<p><span style=\"color: #000000;\"><strong>margins=True<\/strong>\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u30de\u30fc\u30b8\u30f3\u306e\u5408\u8a08\u3092\u5206\u5272\u8868\u306b\u8ffd\u52a0\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add margins to contingency table<\/span>\np.d. <span style=\"color: #3366ff;\">crosstab<\/span> (index=df[' <span style=\"color: #008000;\">Country<\/span> '], columns=df[' <span style=\"color: #008000;\">Product<\/span> '], margins= <span style=\"color: #008000;\">True<\/span> )\n\nProduct Comp Radio TV All\nCountry\t\t\t\t\nA 1 0 3 4\nB 3 2 3 8\nC 2 3 3 8\nAll 6 5 9 20<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u30c6\u30fc\u30d6\u30eb\u306e\u5024\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u884c\u306e\u5408\u8a08:<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">A\u56fd\u304b\u3089\u5408\u8a08<strong>4\u4ef6<\/strong>\u306e\u6ce8\u6587\u304c\u3042\u308a\u307e\u3057\u305f\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u5408\u8a08<strong>8<\/strong>\u4ef6\u304c B \u56fd\u304b\u3089\u6ce8\u6587\u3055\u308c\u307e\u3057\u305f\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">C\u56fd\u304b\u3089\u306f\u5408\u8a08<strong>8\u4ef6<\/strong>\u306e\u6ce8\u6587\u304c\u3042\u308a\u307e\u3057\u305f\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><strong>\u5217\u306e\u5408\u8a08:<\/strong><\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u5408\u8a08<strong>6\u53f0<\/strong>\u306e\u30d1\u30bd\u30b3\u30f3\u3092\u8cfc\u5165\u3057\u307e\u3057\u305f\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u5408\u8a08<strong>5\u53f0<\/strong>\u306e\u30e9\u30b8\u30aa\u3092\u8cfc\u5165\u3057\u307e\u3057\u305f\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u5408\u8a08<strong>9\u53f0<\/strong>\u306e\u30c6\u30ec\u30d3\u3092\u8cfc\u5165\u3057\u307e\u3057\u305f\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u8868\u306e\u53f3\u4e0b\u9685\u306e\u5024\u306f\u3001\u5408\u8a08<strong>20 \u500b<\/strong>\u306e\u88fd\u54c1\u304c\u3059\u3079\u3066\u306e\u56fd\u304b\u3089\u6ce8\u6587\u3055\u308c\u305f\u3053\u3068\u3092\u793a\u3057\u3066\u3044\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\/r-\u306e\u5206\u5272\u8868\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u5206\u5272\u8868\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30a8\u30af\u30bb\u30eb\u5206\u5272\u8868\/\" target=\"_blank\" rel=\"noopener\">Excel \u3067\u5206\u5272\u8868\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5206\u5272\u8868\u306f\u3001 2 \u3064\u306e\u30ab\u30c6\u30b4\u30ea\u5909\u6570\u9593\u306e\u95a2\u4fc2\u3092\u8981\u7d04\u3059\u308b\u8868\u306e\u4e00\u7a2e\u3067\u3059\u3002 Python \u3067\u5206\u5272\u8868\u3092\u4f5c\u6210\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3059\u308bpandas.crosstab()\u95a2\u6570\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002 pandas.crosstab(\u30a4\u30f3\u30c7\u30c3\u30af [&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-1519","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\u5206\u5272\u8868\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u5206\u5272\u8868\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u30b9\u30c6\u30c3\u30d7\u3054\u3068\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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