{"id":2495,"date":"2023-07-22T00:36:10","date_gmt":"2023-07-22T00:36:10","guid":{"rendered":"https:\/\/statorials.org\/ja\/numpy-%e6%ad%a3%e8%a6%8f%e5%8c%96%e8%a1%8c%e5%88%97\/"},"modified":"2023-07-22T00:36:10","modified_gmt":"2023-07-22T00:36:10","slug":"numpy-%e6%ad%a3%e8%a6%8f%e5%8c%96%e8%a1%8c%e5%88%97","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/numpy-%e6%ad%a3%e8%a6%8f%e5%8c%96%e8%a1%8c%e5%88%97\/","title":{"rendered":"Numpy \u884c\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5: \u4f8b\u4ed8\u304d"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u884c\u5217\u306e<strong>\u6b63\u898f\u5316\u3068\u306f\u3001<\/strong>\u884c\u307e\u305f\u306f\u5217\u306e\u5024\u306e\u7bc4\u56f2\u304c 0 \u304b\u3089 1 \u306e\u9593\u306b\u306a\u308b\u3088\u3046\u306b\u5024\u3092\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u3059\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">NumPy \u884c\u5217\u306e\u5024\u3092\u6b63\u898f\u5316\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5\u306f\u3001sklearn \u30d1\u30c3\u30b1\u30fc\u30b8\u306e<a href=\"https:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.preprocessing.normalize.html\" target=\"_blank\" rel=\"noopener\">normalize()<\/a>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002\u3053\u306e\u95a2\u6570\u306f\u3001\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">preprocessing<\/span> <span style=\"color: #008000;\">import<\/span> normalize\n\n<span style=\"color: #008080;\">#normalize rows of matrix\n<\/span>normalize(x, axis= <span style=\"color: #008000;\">1<\/span> , norm=' <span style=\"color: #ff0000;\">l1<\/span> ')\n\n<span style=\"color: #008080;\">#normalize columns of matrix\n<span style=\"color: #000000;\">normalize(x, axis= <span style=\"color: #008000;\">0<\/span> , norm=' <span style=\"color: #ff0000;\">l1<\/span> ')<\/span>\n<\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u69cb\u6587\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: NumPy \u884c\u5217\u306e\u884c\u3092\u6b63\u898f\u5316\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e NumPy \u884c\u5217\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create matrix\n<\/span>x = np. <span style=\"color: #3366ff;\">arange<\/span> (0, 36, 4). <span style=\"color: #3366ff;\">reshape<\/span> (3,3)\n\n<span style=\"color: #008080;\">#view matrix\n<\/span><span style=\"color: #008000;\">print<\/span> (x)\n\n[[ 0 4 8]\n [12 16 20]\n [24 28 32]]\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001NumPy \u884c\u5217\u306e\u884c\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">preprocessing<\/span> <span style=\"color: #008000;\">import<\/span> normalize\n\n<span style=\"color: #008080;\">#normalize matrix by rows\n<\/span>x_normed = normalize(x, axis= <span style=\"color: #008000;\">1<\/span> , norm=' <span style=\"color: #ff0000;\">l1<\/span> ')\n\n<span style=\"color: #008080;\">#view normalized matrix\n<\/span><span style=\"color: #008000;\">print<\/span> (x_normed)\n\n[[0. 0.33333333 0.66666667]\n [0.25 0.33333333 0.41666667]\n [0.28571429 0.33333333 0.38095238]]<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u5404\u884c\u306e\u5024\u306e\u5408\u8a08\u304c 1 \u306b\u306a\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u6700\u521d\u306e\u884c\u306e\u5408\u8a08: 0 + 0.33 + 0.67 = <strong>1<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">2 \u884c\u76ee\u306e\u5408\u8a08: 0.25 + 0.33 + 0.417 = <strong>1<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">3 \u884c\u76ee\u306e\u5408\u8a08: 0.2857 + 0.3333 + 0.3809 = <strong>1<\/strong><\/span><\/li>\n<\/ul>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: NumPy \u884c\u5217\u306e\u5217\u3092\u6b63\u898f\u5316\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e NumPy \u884c\u5217\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create matrix\n<\/span>x = np. <span style=\"color: #3366ff;\">arange<\/span> (0, 36, 4). <span style=\"color: #3366ff;\">reshape<\/span> (3,3)\n\n<span style=\"color: #008080;\">#view matrix\n<\/span><span style=\"color: #008000;\">print<\/span> (x)\n\n[[ 0 4 8]\n [12 16 20]\n [24 28 32]]\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001NumPy \u884c\u5217\u306e\u884c\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">preprocessing<\/span> <span style=\"color: #008000;\">import<\/span> normalize\n\n<span style=\"color: #008080;\">#normalize matrix by columns\n<\/span>x_normed = normalize(x, axis= <span style=\"color: #008000;\">0<\/span> , norm=' <span style=\"color: #ff0000;\">l1<\/span> ')\n\n<span style=\"color: #008080;\">#view normalized matrix\n<\/span><span style=\"color: #008000;\">print<\/span> (x_normed)\n\n[[0. 0.08333333 0.13333333]\n [0.33333333 0.33333333 0.33333333]\n [0.66666667 0.58333333 0.53333333]]<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u5404\u5217\u306e\u5024\u304c\u5408\u8a08 1 \u306b\u306a\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u6700\u521d\u306e\u5217\u306e\u5408\u8a08: 0 + 0.33 + 0.67 = <strong>1<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">2 \u756a\u76ee\u306e\u5217\u306e\u5408\u8a08: 0.083 + 0.333 + 0.583 = <strong>1<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">3 \u5217\u76ee\u306e\u5408\u8a08: 0.133 + 0.333 + 0.5333 = <strong>1<\/strong><\/span><\/li>\n<\/ul>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u64cd\u4f5c\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/python\u3066\u3099\u30c6\u3099\u30fc\u30bf\u3092\u6b63\u898f\u5316\u3059\u308b\/\" target=\"_blank\" rel=\"noopener\">Python \u3067\u914d\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/pandas-\u30c6\u3099\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame \u306e\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u884c\u5217\u306e\u6b63\u898f\u5316\u3068\u306f\u3001\u884c\u307e\u305f\u306f\u5217\u306e\u5024\u306e\u7bc4\u56f2\u304c 0 \u304b\u3089 1 \u306e\u9593\u306b\u306a\u308b\u3088\u3046\u306b\u5024\u3092\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u3059\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002 NumPy \u884c\u5217\u306e\u5024\u3092\u6b63\u898f\u5316\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5\u306f\u3001sklearn \u30d1\u30c3\u30b1\u30fc\u30b8\u306enormalize()\u95a2\u6570\u3092\u4f7f [&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-2495","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>NumPy \u884c\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5 (\u4f8b\u3042\u308a) \u2013 Statology<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001NumPy \u884c\u5217\u3092\u6b63\u898f\u5316\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 rel=\"canonical\" href=\"https:\/\/statorials.org\/ja\/numpy-\u6b63\u898f\u5316\u884c\u5217\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NumPy \u884c\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5 (\u4f8b\u3042\u308a) \u2013 Statology\" \/>\n<meta property=\"og:description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001NumPy \u884c\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ja\/numpy-\u6b63\u898f\u5316\u884c\u5217\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T00:36:10+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\/numpy-%e6%ad%a3%e8%a6%8f%e5%8c%96%e8%a1%8c%e5%88%97\/\",\"url\":\"https:\/\/statorials.org\/ja\/numpy-%e6%ad%a3%e8%a6%8f%e5%8c%96%e8%a1%8c%e5%88%97\/\",\"name\":\"NumPy \u884c\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5 (\u4f8b\u3042\u308a) \u2013 Statology\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ja\/#website\"},\"datePublished\":\"2023-07-22T00:36:10+00:00\",\"dateModified\":\"2023-07-22T00:36:10+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ja\/#\/schema\/person\/86b92d2dd87368b26360d19d9c6a5d83\"},\"description\":\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001NumPy \u884c\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/ja\/numpy-%e6%ad%a3%e8%a6%8f%e5%8c%96%e8%a1%8c%e5%88%97\/#breadcrumb\"},\"inLanguage\":\"ja\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/ja\/numpy-%e6%ad%a3%e8%a6%8f%e5%8c%96%e8%a1%8c%e5%88%97\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/ja\/numpy-%e6%ad%a3%e8%a6%8f%e5%8c%96%e8%a1%8c%e5%88%97\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u5bb6\",\"item\":\"https:\/\/statorials.org\/ja\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Numpy \u884c\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5: \u4f8b\u4ed8\u304d\"}]},{\"@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":"NumPy \u884c\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5 (\u4f8b\u3042\u308a) \u2013 Statology","description":"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001NumPy \u884c\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\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\/numpy-\u6b63\u898f\u5316\u884c\u5217\/","og_locale":"ja_JP","og_type":"article","og_title":"NumPy \u884c\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5 (\u4f8b\u3042\u308a) \u2013 Statology","og_description":"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001NumPy \u884c\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002","og_url":"https:\/\/statorials.org\/ja\/numpy-\u6b63\u898f\u5316\u884c\u5217\/","og_site_name":"Statorials","article_published_time":"2023-07-22T00:36:10+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\/numpy-%e6%ad%a3%e8%a6%8f%e5%8c%96%e8%a1%8c%e5%88%97\/","url":"https:\/\/statorials.org\/ja\/numpy-%e6%ad%a3%e8%a6%8f%e5%8c%96%e8%a1%8c%e5%88%97\/","name":"NumPy \u884c\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5 (\u4f8b\u3042\u308a) \u2013 Statology","isPartOf":{"@id":"https:\/\/statorials.org\/ja\/#website"},"datePublished":"2023-07-22T00:36:10+00:00","dateModified":"2023-07-22T00:36:10+00:00","author":{"@id":"https:\/\/statorials.org\/ja\/#\/schema\/person\/86b92d2dd87368b26360d19d9c6a5d83"},"description":"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001NumPy \u884c\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002","breadcrumb":{"@id":"https:\/\/statorials.org\/ja\/numpy-%e6%ad%a3%e8%a6%8f%e5%8c%96%e8%a1%8c%e5%88%97\/#breadcrumb"},"inLanguage":"ja","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/ja\/numpy-%e6%ad%a3%e8%a6%8f%e5%8c%96%e8%a1%8c%e5%88%97\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/ja\/numpy-%e6%ad%a3%e8%a6%8f%e5%8c%96%e8%a1%8c%e5%88%97\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u5bb6","item":"https:\/\/statorials.org\/ja\/"},{"@type":"ListItem","position":2,"name":"Numpy \u884c\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5: \u4f8b\u4ed8\u304d"}]},{"@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\/2495","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=2495"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/ja\/wp-json\/wp\/v2\/posts\/2495\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/ja\/wp-json\/wp\/v2\/media?parent=2495"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/ja\/wp-json\/wp\/v2\/categories?post=2495"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/ja\/wp-json\/wp\/v2\/tags?post=2495"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}