{"id":126,"date":"2014-07-10T22:36:15","date_gmt":"2014-07-10T13:36:15","guid":{"rendered":"https:\/\/www.dogrow.net\/python\/?p=126"},"modified":"2019-10-19T07:18:44","modified_gmt":"2019-10-18T22:18:44","slug":"blog34","status":"publish","type":"post","link":"https:\/\/www.dogrow.net\/python\/blog34\/","title":{"rendered":"(34) \u914d\u5217\u306e\u60c5\u5831\u3092\u5f97\u308b\u8272\u3005\u306a\u624b\u6bb5"},"content":{"rendered":"<p><span class=\"my_fc_deeppinkB\">a[ 4 ][ 3 ][ 2 ]<\/span> \u306e 3\u6b21\u5143\u914d\u5217\u3092\u4f5c\u6210\u3057\u3001\u3053\u306e\u914d\u5217\u306e\u3044\u308d\u3044\u308d\u306a\u60c5\u5831\u3092\u53d6\u5f97\u3057\u3066\u307f\u308b\u3002<\/p>\n<pre>&gt;&gt;&gt; import numpy as np\r\n&gt;&gt;&gt; a = np.floor(np.random.rand(4,3,2)*10)\r\n&gt;&gt;&gt; a\r\narray([[[ 6.,  6.],\r\n        [ 2.,  5.],\r\n        [ 4.,  4.]],\r\n\r\n       [[ 9.,  4.],\r\n        [ 8.,  7.],\r\n        [ 1.,  9.]],\r\n\r\n       [[ 3.,  0.],\r\n        [ 5.,  9.],\r\n        [ 3.,  8.]],\r\n\r\n       [[ 4.,  4.],\r\n        [ 4.,  6.],\r\n        [ 8.,  8.]]])\r\n<\/pre>\n<h3 class=\"my_h\">(1) \u6b21\u6570<\/h3>\n<pre>&gt;&gt;&gt; a.<span class=\"my_fc_deeppinkB\">ndim<\/span>\r\n3\r\n&gt;&gt;&gt; a[0].<span class=\"my_fc_deeppinkB\">ndim<\/span>\r\n2\r\n&gt;&gt;&gt; a[0][0].<span class=\"my_fc_deeppinkB\">ndim<\/span>\r\n1\r\n<\/pre>\n<h3 class=\"my_h\">(2) \u5404\u6b21\u5143\u306e\u8981\u7d20\u6570<\/h3>\n<pre>&gt;&gt;&gt; a.<span class=\"my_fc_deeppinkB\">shape<\/span>\r\n(4, 3, 2)\r\n&gt;&gt;&gt; a[0].<span class=\"my_fc_deeppinkB\">shape<\/span>\r\n(3, 2)\r\n&gt;&gt;&gt; a[0][0].<span class=\"my_fc_deeppinkB\">shape<\/span>\r\n(2,)\r\n<\/pre>\n<h3 class=\"my_h\">(3) \u914d\u5217\u306e\u8981\u7d20\u6570<\/h3>\n<pre>&gt;&gt;&gt; a.<span class=\"my_fc_deeppinkB\">size<\/span>\r\n24\r\n&gt;&gt;&gt; a[0].<span class=\"my_fc_deeppinkB\">size<\/span>\r\n6\r\n&gt;&gt;&gt; a[0][0].<span class=\"my_fc_deeppinkB\">size<\/span>\r\n2\r\n<\/pre>\n<hr class=\"my_hr_bottom\">\n","protected":false},"excerpt":{"rendered":"<p>a[ 4 ][ 3 ][ 2 ] \u306e 3\u6b21\u5143\u914d\u5217\u3092\u4f5c\u6210\u3057\u3001\u3053\u306e\u914d\u5217\u306e\u3044\u308d\u3044\u308d\u306a\u60c5\u5831\u3092\u53d6\u5f97\u3057\u3066\u307f\u308b\u3002 &gt;&gt;&gt; import numpy as np &gt;&gt;&gt; a = np.floor(np\u2026 <span class=\"read-more\"><a href=\"https:\/\/www.dogrow.net\/python\/blog34\/\">\u7d9a\u304d\u3092\u8aad\u3080 &raquo;<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-126","post","type-post","status-publish","format-standard","hentry","category-numpy"],"views":3853,"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/126","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/comments?post=126"}],"version-history":[{"count":9,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/126\/revisions"}],"predecessor-version":[{"id":2629,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/126\/revisions\/2629"}],"wp:attachment":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/media?parent=126"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/categories?post=126"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/tags?post=126"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}