{"id":829,"date":"2023-07-28T14:53:35","date_gmt":"2023-07-28T14:53:35","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%9e%e3%83%8f%e3%83%a9%e3%83%8e%e3%83%92%e3%82%99%e3%82%b9%e3%83%aa%e3%83%a2%e3%83%bc%e3%83%88python\/"},"modified":"2023-07-28T14:53:35","modified_gmt":"2023-07-28T14:53:35","slug":"%e3%83%9e%e3%83%8f%e3%83%a9%e3%83%8e%e3%83%92%e3%82%99%e3%82%b9%e3%83%aa%e3%83%a2%e3%83%bc%e3%83%88python","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%9e%e3%83%8f%e3%83%a9%e3%83%8e%e3%83%92%e3%82%99%e3%82%b9%e3%83%aa%e3%83%a2%e3%83%bc%e3%83%88python\/","title":{"rendered":"Python \u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u306f\u3001<\/strong>\u591a\u5909\u91cf\u7a7a\u9593\u5185\u306e 2 \u70b9\u9593\u306e\u8ddd\u96e2\u3067\u3059\u3002\u8907\u6570\u306e\u5909\u6570\u3092\u542b\u3080\u7d71\u8a08\u5206\u6790\u3067\u5916\u308c\u5024\u3092\u691c\u51fa\u3059\u308b\u305f\u3081\u306b\u3088\u304f\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\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 \u306e\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">Python \u3067\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5404\u89b3\u6e2c\u5024\u306e\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u624b\u9806\u3092\u4f7f\u7528\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<p><span style=\"color: #000000;\">\u307e\u305a\u300120 \u4eba\u306e\u5b66\u751f\u306e\u8a66\u9a13\u30b9\u30b3\u30a2\u3001\u5b66\u751f\u304c\u52c9\u5f37\u306b\u8cbb\u3084\u3057\u305f\u6642\u9593\u6570\u3001\u53d7\u9a13\u3057\u305f\u6a21\u64ec\u8a66\u9a13\u306e\u56de\u6570\u3001\u30b3\u30fc\u30b9\u306e\u73fe\u5728\u306e\u6210\u7e3e\u3092\u8868\u793a\u3059\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\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> pandas <span style=\"color: #107d3f;\">as<\/span> pd<span style=\"color: #107d3f;\">\nimport<\/span> scipy <span style=\"color: #107d3f;\">as<\/span> stats\n\ndata = {'score': [91, 93, 72, 87, 86, 73, 68, 87, 78, 99, 95, 76, 84, 96, 76, 80, 83, 84, 73, 74],\n        'hours': [16, 6, 3, 1, 2, 3, 2, 5, 2, 5, 2, 3, 4, 3, 3, 3, 4, 3, 4, 4],\n        'prep': [3, 4, 0, 3, 4, 0, 1, 2, 1, 2, 3, 3, 3, 2, 2, 2, 3, 3, 2, 2],\n        'grade': [70, 88, 80, 83, 88, 84, 78, 94, 90, 93, 89, 82, 95, 94, 81, 93, 93, 90, 89, 89]\n        }\n\ndf = pd.DataFrame(data,columns=['score', 'hours', 'prep','grade'])\ndf.head()\n\n score hours prep grade\n0 91 16 3 70\n1 93 6 4 88\n2 72 3 0 80\n3 87 1 3 83\n4 86 2 4 88\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 2: \u5404\u89b3\u6e2c\u5024\u306e\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u77ed\u3044\u95a2\u6570\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\"><span style=\"color: #008080;\">#create function to calculate Mahalanobis distance<\/span>\ndef<\/span> mahalanobis(x= <span style=\"color: #107d3f;\">None<\/span> , data= <span style=\"color: #107d3f;\">None<\/span> , cov= <span style=\"color: #107d3f;\">None<\/span> ):\n\n    x_mu = x - np.mean(data)\n    if not cov:\n        cov = np.cov(data.values.T)\n    inv_covmat = np.linalg.inv(cov)\n    left = np.dot(x_mu, inv_covmat)\n    mahal = np.dot(left, x_mu.T)\n    return mahal.diagonal()\n\n<span style=\"color: #107d3f;\"><span style=\"color: #008080;\">#create new column in dataframe that contains Mahalanobis distance for each row<\/span><\/span>\ndf['mahalanobis'] = mahalanobis(x=df, data=df[['score', 'hours', 'prep', 'grade']])\n\n<span style=\"color: #008080;\">#display first five rows of dataframe\n<\/span>df.head()\n\n score hours prep grade mahalanobis\n0 91 16 3 70 16.501963\n1 93 6 4 88 2.639286\n2 72 3 0 80 4.850797\n3 87 1 3 83 5.201261\n4 86 2 4 88 3.828734\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 3: \u5404\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u306e p \u5024\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e00\u90e8\u306e\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u304c\u4ed6\u306e\u3082\u306e\u3088\u308a\u3082\u306f\u308b\u304b\u306b\u5927\u304d\u3044\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002\u3044\u305a\u308c\u304b\u306e\u8ddd\u96e2\u304c\u7d71\u8a08\u7684\u306b\u6709\u610f\u3067\u3042\u308b\u304b\u3069\u3046\u304b\u3092\u5224\u65ad\u3059\u308b\u306b\u306f\u3001\u305d\u306e p \u5024\u3092\u8a08\u7b97\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5404\u8ddd\u96e2\u306e p \u5024\u306f\u3001k-1 \u81ea\u7531\u5ea6\u306e\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u306e\u30ab\u30a4\u4e8c\u4e57\u7d71\u8a08\u91cf\u306b\u5bfe\u5fdc\u3059\u308b p \u5024\u3068\u3057\u3066\u8a08\u7b97\u3055\u308c\u307e\u3059 (k = \u5909\u6570\u306e\u6570)\u3002\u3057\u305f\u304c\u3063\u3066\u3001\u3053\u306e\u5834\u5408\u306f 4-1 = 3 \u306e\u81ea\u7531\u5ea6\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">from<\/span> scipy.stats <span style=\"color: #107d3f;\">import<\/span> chi2\n\n<span style=\"color: #008080;\">#calculate p-value for each mahalanobis distance<\/span> \ndf['p'] = 1 - chi2.cdf(df['mahalanobis'], 3)\n\n<span style=\"color: #008080;\">#display p-values for first five rows in dataframe<\/span>\ndf.head()\n\n score hours prep grade mahalanobis p\n0 91 16 3 70 16.501963 0.000895\n1 93 6 4 88 2.639286 0.450644\n2 72 3 0 80 4.850797 0.183054\n3 87 1 3 83 5.201261 0.157639\n4 86 2 4 88 3.828734 0.280562\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4e00\u822c\u306b\u3001 <strong>0.001 \u672a\u6e80\u306e<\/strong>p \u5024\u306f\u5916\u308c\u5024\u3068\u307f\u306a\u3055\u308c\u307e\u3059\u3002<\/span><span style=\"color: #000000;\">\u6700\u521d\u306e\u89b3\u6e2c\u5024\u306f p \u5024\u304c 0.001 \u672a\u6e80\u3067\u3042\u308b\u305f\u3081\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5916\u308c\u5024\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u554f\u984c\u306e\u72b6\u6cc1\u306b\u5fdc\u3058\u3066\u3001\u3053\u306e\u89b3\u6e2c\u5024\u306f\u5916\u308c\u5024\u3067\u3042\u308a\u3001\u5206\u6790\u7d50\u679c\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u305f\u3081\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304b\u3089\u524a\u9664\u3059\u308b\u3053\u3068\u3092\u6c7a\u5b9a\u3059\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u306f\u3001\u591a\u5909\u91cf\u7a7a\u9593\u5185\u306e 2 \u70b9\u9593\u306e\u8ddd\u96e2\u3067\u3059\u3002\u8907\u6570\u306e\u5909\u6570\u3092\u542b\u3080\u7d71\u8a08\u5206\u6790\u3067\u5916\u308c\u5024\u3092\u691c\u51fa\u3059\u308b\u305f\u3081\u306b\u3088\u304f\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002 \u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002 \u4f8b: Py [&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-829","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\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 \u2013 Statology<\/title>\n<meta name=\"description\" content=\"Python\u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u7c21\u5358\u306b\u89e3\u8aac\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\" href=\"https:\/\/statorials.org\/ja\/\u30de\u30cf\u30e9\u30ce\u30d2\u3099\u30b9\u30ea\u30e2\u30fc\u30c8python\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python \u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 \u2013 Statology\" \/>\n<meta property=\"og:description\" content=\"Python\u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u7c21\u5358\u306b\u89e3\u8aac\u3057\u307e\u3059\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ja\/\u30de\u30cf\u30e9\u30ce\u30d2\u3099\u30b9\u30ea\u30e2\u30fc\u30c8python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T14:53:35+00:00\" \/>\n<meta name=\"author\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ja\/%e3%83%9e%e3%83%8f%e3%83%a9%e3%83%8e%e3%83%92%e3%82%99%e3%82%b9%e3%83%aa%e3%83%a2%e3%83%bc%e3%83%88python\/\",\"url\":\"https:\/\/statorials.org\/ja\/%e3%83%9e%e3%83%8f%e3%83%a9%e3%83%8e%e3%83%92%e3%82%99%e3%82%b9%e3%83%aa%e3%83%a2%e3%83%bc%e3%83%88python\/\",\"name\":\"Python \u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 \u2013 Statology\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ja\/#website\"},\"datePublished\":\"2023-07-28T14:53:35+00:00\",\"dateModified\":\"2023-07-28T14:53:35+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ja\/#\/schema\/person\/86b92d2dd87368b26360d19d9c6a5d83\"},\"description\":\"Python\u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u7c21\u5358\u306b\u89e3\u8aac\u3057\u307e\u3059\u3002\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/ja\/%e3%83%9e%e3%83%8f%e3%83%a9%e3%83%8e%e3%83%92%e3%82%99%e3%82%b9%e3%83%aa%e3%83%a2%e3%83%bc%e3%83%88python\/#breadcrumb\"},\"inLanguage\":\"ja\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/ja\/%e3%83%9e%e3%83%8f%e3%83%a9%e3%83%8e%e3%83%92%e3%82%99%e3%82%b9%e3%83%aa%e3%83%a2%e3%83%bc%e3%83%88python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/ja\/%e3%83%9e%e3%83%8f%e3%83%a9%e3%83%8e%e3%83%92%e3%82%99%e3%82%b9%e3%83%aa%e3%83%a2%e3%83%bc%e3%83%88python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u5bb6\",\"item\":\"https:\/\/statorials.org\/ja\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Python \u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/ja\/#website\",\"url\":\"https:\/\/statorials.org\/ja\/\",\"name\":\"Statorials\",\"description\":\"\u7d71\u8a08\u80fd\u529b\u3078\u306e\u30ac\u30a4\u30c9\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/ja\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"ja\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/ja\/#\/schema\/person\/86b92d2dd87368b26360d19d9c6a5d83\",\"name\":\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\/\/statorials.org\/ja\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/ja\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/ja\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\"},\"description\":\"\u79c1\u306f\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u3067\u3059\u3002\u9000\u8077\u3057\u305f\u7d71\u8a08\u6559\u6388\u304b\u3089\u3001\u5c02\u4efb\u306e Statorials \u6559\u80b2\u8005\u306b\u306a\u308a\u307e\u3057\u305f\u3002 \u7d71\u8a08\u5206\u91ce\u306b\u304a\u3051\u308b\u8c4a\u5bcc\u306a\u7d4c\u9a13\u3068\u5c02\u9580\u77e5\u8b58\u3092\u6d3b\u304b\u3057\u3066\u3001\u79c1\u306f Statorials \u3092\u901a\u3058\u3066\u5b66\u751f\u306b\u529b\u3092\u4e0e\u3048\u308b\u305f\u3081\u306b\u81ea\u5206\u306e\u77e5\u8b58\u3092\u5171\u6709\u3059\u308b\u3053\u3068\u306b\u5c3d\u529b\u3057\u3066\u3044\u307e\u3059\u3002\u3082\u3063\u3068\u77e5\u308b\",\"sameAs\":[\"http:\/\/statorials.org\/ja\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Python \u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 \u2013 Statology","description":"Python\u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u7c21\u5358\u306b\u89e3\u8aac\u3057\u307e\u3059\u3002","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/ja\/\u30de\u30cf\u30e9\u30ce\u30d2\u3099\u30b9\u30ea\u30e2\u30fc\u30c8python\/","og_locale":"ja_JP","og_type":"article","og_title":"Python \u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 \u2013 Statology","og_description":"Python\u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u7c21\u5358\u306b\u89e3\u8aac\u3057\u307e\u3059\u3002","og_url":"https:\/\/statorials.org\/ja\/\u30de\u30cf\u30e9\u30ce\u30d2\u3099\u30b9\u30ea\u30e2\u30fc\u30c8python\/","og_site_name":"Statorials","article_published_time":"2023-07-28T14:53:35+00:00","author":"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb","twitter_card":"summary_large_image","twitter_misc":{"\u57f7\u7b46\u8005":"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb","\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593":"1\u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/ja\/%e3%83%9e%e3%83%8f%e3%83%a9%e3%83%8e%e3%83%92%e3%82%99%e3%82%b9%e3%83%aa%e3%83%a2%e3%83%bc%e3%83%88python\/","url":"https:\/\/statorials.org\/ja\/%e3%83%9e%e3%83%8f%e3%83%a9%e3%83%8e%e3%83%92%e3%82%99%e3%82%b9%e3%83%aa%e3%83%a2%e3%83%bc%e3%83%88python\/","name":"Python \u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 \u2013 Statology","isPartOf":{"@id":"https:\/\/statorials.org\/ja\/#website"},"datePublished":"2023-07-28T14:53:35+00:00","dateModified":"2023-07-28T14:53:35+00:00","author":{"@id":"https:\/\/statorials.org\/ja\/#\/schema\/person\/86b92d2dd87368b26360d19d9c6a5d83"},"description":"Python\u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u7c21\u5358\u306b\u89e3\u8aac\u3057\u307e\u3059\u3002","breadcrumb":{"@id":"https:\/\/statorials.org\/ja\/%e3%83%9e%e3%83%8f%e3%83%a9%e3%83%8e%e3%83%92%e3%82%99%e3%82%b9%e3%83%aa%e3%83%a2%e3%83%bc%e3%83%88python\/#breadcrumb"},"inLanguage":"ja","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/ja\/%e3%83%9e%e3%83%8f%e3%83%a9%e3%83%8e%e3%83%92%e3%82%99%e3%82%b9%e3%83%aa%e3%83%a2%e3%83%bc%e3%83%88python\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/ja\/%e3%83%9e%e3%83%8f%e3%83%a9%e3%83%8e%e3%83%92%e3%82%99%e3%82%b9%e3%83%aa%e3%83%a2%e3%83%bc%e3%83%88python\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u5bb6","item":"https:\/\/statorials.org\/ja\/"},{"@type":"ListItem","position":2,"name":"Python \u3067\u30de\u30cf\u30e9\u30ce\u30d3\u30b9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/ja\/#website","url":"https:\/\/statorials.org\/ja\/","name":"Statorials","description":"\u7d71\u8a08\u80fd\u529b\u3078\u306e\u30ac\u30a4\u30c9","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/ja\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"ja"},{"@type":"Person","@id":"https:\/\/statorials.org\/ja\/#\/schema\/person\/86b92d2dd87368b26360d19d9c6a5d83","name":"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb","image":{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/statorials.org\/ja\/#\/schema\/person\/image\/","url":"http:\/\/statorials.org\/ja\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","contentUrl":"http:\/\/statorials.org\/ja\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","caption":"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb"},"description":"\u79c1\u306f\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u3067\u3059\u3002\u9000\u8077\u3057\u305f\u7d71\u8a08\u6559\u6388\u304b\u3089\u3001\u5c02\u4efb\u306e Statorials \u6559\u80b2\u8005\u306b\u306a\u308a\u307e\u3057\u305f\u3002 \u7d71\u8a08\u5206\u91ce\u306b\u304a\u3051\u308b\u8c4a\u5bcc\u306a\u7d4c\u9a13\u3068\u5c02\u9580\u77e5\u8b58\u3092\u6d3b\u304b\u3057\u3066\u3001\u79c1\u306f Statorials \u3092\u901a\u3058\u3066\u5b66\u751f\u306b\u529b\u3092\u4e0e\u3048\u308b\u305f\u3081\u306b\u81ea\u5206\u306e\u77e5\u8b58\u3092\u5171\u6709\u3059\u308b\u3053\u3068\u306b\u5c3d\u529b\u3057\u3066\u3044\u307e\u3059\u3002\u3082\u3063\u3068\u77e5\u308b","sameAs":["http:\/\/statorials.org\/ja"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/ja\/wp-json\/wp\/v2\/posts\/829","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statorials.org\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/ja\/wp-json\/wp\/v2\/comments?post=829"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/ja\/wp-json\/wp\/v2\/posts\/829\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/ja\/wp-json\/wp\/v2\/media?parent=829"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/ja\/wp-json\/wp\/v2\/categories?post=829"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/ja\/wp-json\/wp\/v2\/tags?post=829"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}