{"id":826,"date":"2023-07-28T15:10:19","date_gmt":"2023-07-28T15:10:19","guid":{"rendered":"https:\/\/statorials.org\/ja\/python%e7%9b%b8%e9%96%a2%e8%a1%8c%e5%88%97\/"},"modified":"2023-07-28T15:10:19","modified_gmt":"2023-07-28T15:10:19","slug":"python%e7%9b%b8%e9%96%a2%e8%a1%8c%e5%88%97","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/python%e7%9b%b8%e9%96%a2%e8%a1%8c%e5%88%97\/","title":{"rendered":"Python \u3067\u76f8\u95a2\u884c\u5217\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">2 \u3064\u306e\u5909\u6570\u9593\u306e\u95a2\u4fc2\u3092\u5b9a\u91cf\u5316\u3059\u308b 1 \u3064\u306e\u65b9\u6cd5\u306f\u30012 \u3064\u306e\u5909\u6570\u9593\u306e\u7dda\u5f62\u95a2\u9023\u6027\u306e\u5c3a\u5ea6\u3067\u3042\u308b <a href=\"https:\/\/statorials.org\/ja\/\u30d2\u309a\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570-1\/\" target=\"_blank\" rel=\"noopener\">\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570<\/a>\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059<em>\u3002<\/em><\/span><\/p>\n<p> <span style=\"color: #000000;\">-1 \u304b\u3089 1 \u307e\u3067\u306e\u5024\u3092\u53d6\u308a\u307e\u3059\u3002\u3053\u3053\u3067\u3001<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">-1 \u306f\u5b8c\u5168\u306a\u8ca0\u306e\u7dda\u5f62\u76f8\u95a2\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">0 \u306f\u7dda\u5f62\u76f8\u95a2\u304c\u306a\u3044\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">1 \u306f\u5b8c\u5168\u306b\u6b63\u306e\u7dda\u5f62\u76f8\u95a2\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u76f8\u95a2\u4fc2\u6570\u304c\u30bc\u30ed\u304b\u3089\u96e2\u308c\u308b\u307b\u3069\u30012 \u3064\u306e\u5909\u6570\u9593\u306e\u95a2\u4fc2\u304c\u5f37\u304f\u306a\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3057\u304b\u3057\u5834\u5408\u306b\u3088\u3063\u3066\u306f\u3001\u5909\u6570\u306e\u8907\u6570\u306e\u30da\u30a2\u9593\u306e\u76f8\u95a2\u95a2\u4fc2\u3092\u7406\u89e3\u3057\u305f\u3044\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u306e\u3088\u3046\u306a\u5834\u5408\u3001<a href=\"https:\/\/statorials.org\/ja\/\u76f8\u95a2\u884c\u5217\u306e\u898b\u65b9\/\" target=\"_blank\" rel=\"noopener\">\u76f8\u95a2\u884c\u5217<\/a>\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u5909\u6570\u306e\u3044\u304f\u3064\u304b\u306e\u30da\u30a2\u3054\u3068\u306e\u7d44\u307f\u5408\u308f\u305b\u9593\u306e\u76f8\u95a2\u4fc2\u6570\u3092\u793a\u3059\u6b63\u65b9\u5f62\u306e\u8868\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u76f8\u95a2\u884c\u5217\u3092\u4f5c\u6210\u304a\u3088\u3073\u89e3\u91c8\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Python \u3067\u76f8\u95a2\u884c\u5217\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">Python \u3067\u76f8\u95a2\u884c\u5217\u3092\u4f5c\u6210\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u624b\u9806\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 1: \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\ndata = {'assists': [4, 5, 5, 6, 7, 8, 8, 10],\n        'rebounds': [12, 14, 13, 7, 8, 8, 9, 13],\n        'points': [22, 24, 26, 26, 29, 32, 20, 14]\n        }\n\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data, columns=['assists','rebounds','points'])\ndf\n\n   assist rebound points\n0 4 12 22\n1 5 14 24\n2 5 13 26\n3 6 7 26\n4 7 8 29\n5 8 8 32\n6 8 9 20\n7 10 13 14\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 2: \u76f8\u95a2\u884c\u5217\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create correlation matrix<\/span>\ndf. <span style=\"color: #3366ff;\">corr<\/span> ()\n\n                assists rebound points\nassists 1.000000 -0.244861 -0.329573\nrebounds -0.244861 1.000000 -0.522092\npoints -0.329573 -0.522092 1.000000\n\n<span style=\"color: #008080;\">#create same correlation matrix with coefficients rounded to 3 decimals<\/span> \ndf. <span style=\"color: #3366ff;\">corr<\/span> (). <span style=\"color: #3366ff;\">round<\/span> (3)\n\t       assists rebound points\nassists 1.000 -0.245 -0.330\nrebounds -0.245 1.000 -0.522\npoints -0.330 -0.522 1.000\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 3: \u76f8\u95a2\u884c\u5217\u3092\u89e3\u91c8\u3057\u307e\u3059\u3002<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u5404\u5909\u6570\u306f\u305d\u308c\u81ea\u4f53\u3068\u5b8c\u5168\u306b\u76f8\u95a2\u3057\u3066\u3044\u308b\u305f\u3081\u3001\u30c6\u30fc\u30d6\u30eb\u306e\u5bfe\u89d2\u7dda\u306b\u6cbf\u3063\u305f\u76f8\u95a2\u4fc2\u6570\u306f\u3059\u3079\u3066 1 \u306b\u7b49\u3057\u304f\u306a\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ed6\u306e\u3059\u3079\u3066\u306e\u76f8\u95a2\u4fc2\u6570\u306f\u3001\u5909\u6570\u306e\u7570\u306a\u308b\u30da\u30a2\u3054\u3068\u306e\u7d44\u307f\u5408\u308f\u305b\u9593\u306e\u76f8\u95a2\u3092\u793a\u3057\u307e\u3059\u3002\u4f8b\u3048\u3070\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u30a2\u30b7\u30b9\u30c8\u3068\u30ea\u30d0\u30a6\u30f3\u30c9\u306e\u76f8\u95a2\u4fc2\u6570\u306f<strong>-0.245<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u30a2\u30b7\u30b9\u30c8\u3068\u5f97\u70b9\u306e\u76f8\u95a2\u4fc2\u6570\u306f<strong>-0.330<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u30ea\u30d0\u30a6\u30f3\u30c9\u3068\u5f97\u70b9\u306e\u76f8\u95a2\u4fc2\u6570\u306f<strong>-0.522<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 4: \u76f8\u95a2\u884c\u5217\u3092\u8996\u899a\u5316\u3057\u307e\u3059 (\u30aa\u30d7\u30b7\u30e7\u30f3)\u3002<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">pandas \u3067\u4f7f\u7528\u3067\u304d\u308b<a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/user_guide\/style.html\" target=\"_blank\" rel=\"noopener\">\u30b9\u30bf\u30a4\u30eb \u30aa\u30d7\u30b7\u30e7\u30f3<\/a>\u3092\u4f7f\u7528\u3057\u3066\u3001\u76f8\u95a2\u884c\u5217\u3092\u8996\u899a\u5316\u3067\u304d\u307e\u3059\u3002<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>corr = df. <span style=\"color: #3366ff;\">corr<\/span> ()\ncorr. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">background_gradient<\/span> (cmap='coolwarm')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9176 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/correlationmatrixpython1.png\" alt=\"Python \u306e\u76f8\u95a2\u884c\u5217\" width=\"309\" height=\"135\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>cmap<\/strong>\u5f15\u6570\u3092\u5909\u66f4\u3057\u3066\u3001\u7570\u306a\u308b\u8272\u306e\u76f8\u95a2\u884c\u5217\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>corr = df. <span style=\"color: #3366ff;\">corr<\/span> ()\ncorr. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">background_gradient<\/span> (cmap=' <span style=\"color: #800080;\">RdYlGn<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9177 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/correlationmatrixpython2.png\" alt=\"Python \u306e matplotlib \u3092\u4f7f\u7528\u3057\u305f\u76f8\u95a2\u884c\u5217\" width=\"297\" height=\"125\" srcset=\"\" sizes=\"auto, \"><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>corr = df. <span style=\"color: #3366ff;\">corr<\/span> ()\ncorr. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">background_gradient<\/span> (cmap=' <span style=\"color: #800080;\">bwr<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9179 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/correlationmatrixpython3.png\" alt=\"Pandas\u3092\u4f7f\u7528\u3057\u305f\u76f8\u95a2\u884c\u5217\" width=\"309\" height=\"125\" srcset=\"\" sizes=\"auto, \"><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>corr = df. <span style=\"color: #3366ff;\">corr<\/span> ()\ncorr. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">background_gradient<\/span> (cmap=' <span style=\"color: #800080;\">PuOr<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9180 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/correlationmatrixpython4.png\" alt=\"Python \u3067\u306e\u76f8\u95a2\u884c\u5217\u306e\u4f8b\" width=\"306\" height=\"125\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8<\/strong>: <strong>cmap<\/strong>\u5f15\u6570\u306e\u5b8c\u5168\u306a\u30ea\u30b9\u30c8\u306b\u3064\u3044\u3066\u306f\u3001 <a href=\"https:\/\/matplotlib.org\/stable\/tutorials\/colors\/colormaps.html\" target=\"_blank\" rel=\"noopener\">matplotlib \u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/a>\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>2 \u3064\u306e\u5909\u6570\u9593\u306e\u95a2\u4fc2\u3092\u5b9a\u91cf\u5316\u3059\u308b 1 \u3064\u306e\u65b9\u6cd5\u306f\u30012 \u3064\u306e\u5909\u6570\u9593\u306e\u7dda\u5f62\u95a2\u9023\u6027\u306e\u5c3a\u5ea6\u3067\u3042\u308b \u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002 -1 \u304b\u3089 1 \u307e\u3067\u306e\u5024\u3092\u53d6\u308a\u307e\u3059\u3002\u3053\u3053\u3067\u3001 -1 \u306f\u5b8c\u5168\u306a\u8ca0\u306e\u7dda\u5f62\u76f8\u95a2\u3092\u793a\u3057\u307e\u3059\u3002 0 \u306f [&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-826","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\u76f8\u95a2\u884c\u5217\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5 - Statorials<\/title>\n<meta name=\"description\" content=\"Python \u3067\u76f8\u95a2\u884c\u5217\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3092\u542b\u3081\u3066\u308f\u304b\u308a\u3084\u3059\u304f\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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