{"id":298,"date":"2014-09-18T21:51:47","date_gmt":"2014-09-18T12:51:47","guid":{"rendered":"https:\/\/www.dogrow.net\/python\/?p=298"},"modified":"2019-10-19T09:55:53","modified_gmt":"2019-10-19T00:55:53","slug":"blog70","status":"publish","type":"post","link":"https:\/\/www.dogrow.net\/python\/blog70\/","title":{"rendered":"(70) numpy.reshape\u306f\u6d45\u3044\u30b3\u30d4\u30fc"},"content":{"rendered":"

4\u884c3\u5217\u306e\u4e71\u6570\u914d\u5217a\u3092\u4f5c\u6210\u3059\u308b\u3002<\/p>\n

>>> import numpy as np\r\n>>> a = np.random.rand(4,3)\r\n>>> a\r\narray([[ 0.15940847,  0.56564422,  0.82868468],\r\n       [ 0.55344639,  0.55527501,  0.75242168],\r\n       [ 0.43876864,  0.50025427,  0.07168502],\r\n       [ 0.15186   ,  0.00686738,  0.98197383]])\r\n<\/pre>\n
\u914d\u5217a\u3092 numpy.reshape<\/span> \u3067 6\u884c2\u5217\u306b\u5909\u5f62\u3059\u308b\u3002<\/p>\n
>>> b = np.reshape(a, (6,2))<\/span>\r\n>>> b\r\narray([[ 0.15940847,  0.56564422],\r\n       [ 0.82868468,  0.55344639],\r\n       [ 0.55527501,  0.75242168],\r\n       [ 0.43876864,  0.50025427],\r\n       [ 0.07168502,  0.15186   ],\r\n       [ 0.00686738,  0.98197383]])\r\n<\/pre>\n
\u914d\u5217b\u306e\u8981\u7d20\u306e\u5024\u3092\u66f8\u304d\u63db\u3048\u308b\u3002<\/p>\n
>>> b[3,1] = 0\r\n>>> b\r\narray([[ 0.15940847,  0.56564422],\r\n       [ 0.82868468,  0.55344639],\r\n       [ 0.55527501,  0.75242168],\r\n       [ 0.43876864,  0.<\/span>        ],\r\n       [ 0.07168502,  0.15186   ],\r\n       [ 0.00686738,  0.98197383]])\r\n<\/pre>\n
\u3059\u308b\u3068\u3001\u914d\u5217a\u306e\u8981\u7d20\u3082\u66f8\u304d\u63db\u308f\u3063\u3066\u3044\u308b\uff01<\/p>\n
>>> a\r\narray([[ 0.15940847,  0.56564422,  0.82868468],\r\n       [ 0.55344639,  0.55527501,  0.75242168],\r\n       [ 0.43876864,  0.<\/span>        ,  0.07168502],\r\n       [ 0.15186   ,  0.00686738,  0.98197383]])\r\n<\/pre>\n
numpy.reshape \u3057\u305f\u3082\u306e\u3092\u5225\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306b\u4ee3\u5165\u3057\u305f\u3044\u5834\u5408\u3001numpy.copy<\/span> \u3092\u4f7f\u7528\u3059\u308b\u3002<\/p>\n
>>> a = np.random.rand(4,3)\r\n>>> a\r\narray([[ 0.59587499,  0.33831817,  0.75324048],\r\n       [ 0.67519994,  0.57802629,  0.48760045],\r\n       [ 0.27385989,  0.02654679,  0.46217751],\r\n       [ 0.20590104,  0.31475441,  0.31250744]])\r\n>>> b = a.reshape(6,2).copy()<\/span>\r\n>>> b\r\narray([[ 0.59587499,  0.33831817],\r\n       [ 0.75324048,  0.67519994],\r\n       [ 0.57802629,  0.48760045],\r\n       [ 0.27385989,  0.02654679],\r\n       [ 0.46217751,  0.20590104],\r\n       [ 0.31475441,  0.31250744]])\r\n>>> b[3,0] = 0\r\n>>> b\r\narray([[ 0.59587499,  0.33831817],\r\n       [ 0.75324048,  0.67519994],\r\n       [ 0.57802629,  0.48760045],\r\n       [ 0.<\/span>        ,  0.02654679],\r\n       [ 0.46217751,  0.20590104],\r\n       [ 0.31475441,  0.31250744]])\r\n>>> a\r\narray([[ 0.59587499,  0.33831817,  0.75324048],\r\n       [ 0.67519994,  0.57802629,  0.48760045],\r\n       [ 0.27385989<\/span>,  0.02654679,  0.46217751],\r\n       [ 0.20590104,  0.31475441,  0.31250744]])\r\n<\/pre>\n
\u3053\u3046\u66f8\u3044\u3066\u3082\u540c\u3058\u3002<\/p>\n
>>> a = np.random.rand(4,3)\r\n>>> a\r\narray([[ 0.59738729,  0.8289699 ,  0.22344194],\r\n       [ 0.86271615,  0.76692546,  0.1131666 ],\r\n       [ 0.61305503,  0.28302821,  0.24619501],\r\n       [ 0.10828006,  0.38060943,  0.46060143]])\r\n>>> b = np.copy(a.reshape(6,2))<\/span>\r\n>>> b\r\narray([[ 0.59738729,  0.8289699 ],\r\n       [ 0.22344194,  0.86271615],\r\n       [ 0.76692546,  0.1131666 ],\r\n       [ 0.61305503,  0.28302821],\r\n       [ 0.24619501,  0.10828006],\r\n       [ 0.38060943,  0.46060143]])\r\n>>> b[3,0] = 0\r\n>>> b\r\narray([[ 0.59738729,  0.8289699 ],\r\n       [ 0.22344194,  0.86271615],\r\n       [ 0.76692546,  0.1131666 ],\r\n       [ 0.<\/span>        ,  0.28302821],\r\n       [ 0.24619501,  0.10828006],\r\n       [ 0.38060943,  0.46060143]])\r\n>>> a\r\narray([[ 0.59738729,  0.8289699 ,  0.22344194],\r\n       [ 0.86271615,  0.76692546,  0.1131666 ],\r\n       [ 0.61305503<\/span>,  0.28302821,  0.24619501],\r\n       [ 0.10828006,  0.38060943,  0.46060143]])\r\n<\/pre>\n
\n","protected":false},"excerpt":{"rendered":"
4\u884c3\u5217\u306e\u4e71\u6570\u914d\u5217a\u3092\u4f5c\u6210\u3059\u308b\u3002 >>> import numpy as np >>> a = np.random.rand(4,3) >>> a array([[ \u2026 \u7d9a\u304d\u3092\u8aad\u3080 »<\/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-298","post","type-post","status-publish","format-standard","hentry","category-numpy"],"views":5119,"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/298","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=298"}],"version-history":[{"count":6,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/298\/revisions"}],"predecessor-version":[{"id":2687,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/298\/revisions\/2687"}],"wp:attachment":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/media?parent=298"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/categories?post=298"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/tags?post=298"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}