{"id":1262,"date":"2017-08-27T20:03:25","date_gmt":"2017-08-27T11:03:25","guid":{"rendered":"http:\/\/www.python.ambitious-engineer.com\/?p=1262"},"modified":"2018-02-25T12:12:37","modified_gmt":"2018-02-25T03:12:37","slug":"numpy%e5%85%a5%e9%96%80-%e8%a1%8c%e5%88%97%e3%81%ae%e8%a8%88%e7%ae%97","status":"publish","type":"post","link":"https:\/\/www.python.ambitious-engineer.com\/archives\/1262","title":{"rendered":"NumPy\u5165\u9580 \u884c\u5217\u306e\u6f14\u7b97"},"content":{"rendered":"<p>NumPy\u3067\u57fa\u672c\u7684\u306a\u884c\u5217\u3092\u751f\u6210\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u5b66\u7fd2\u3057\u307e\u3057\u305f\u3002\u3053\u3053\u3067\u306f\u751f\u6210\u3057\u305f\u884c\u5217\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u5b66\u7fd2\u3057\u307e\u3059\u3002<\/p>\n<h2>ndarray\u306e\u56db\u5247\u6f14\u7b97<\/h2>\n<p>\u307e\u305a\u3001ndarray\u306e\u56db\u5247\u6f14\u7b97\u306b\u3064\u3044\u3066\u78ba\u8a8d\u3057\u307e\u3057\u3087\u3046\u3002ndarray\u306b\u306f\u6f14\u7b97\u304c\u5b9a\u7fa9\u3055\u308c\u3066\u3044\u307e\u3059\u304c\u3001\u639b\u3051\u7b97\u3082\u52a0\u6e1b\u7b97\u3068\u540c\u69d8\u3001\u8981\u7d20\u3054\u3068\u306b\u8a08\u7b97\u3092\u884c\u3046\u3060\u3051\u306e\u3082\u306e\uff08\u3044\u308f\u3086\u308b\u30a2\u30c0\u30de\u30fc\u30eb\u7a4d\uff09\u306a\u306e\u3067\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u3064\u307e\u308a\u3001\u4e00\u822c\u7684\u306a\u884c\u5217\u306e\u7a4d\uff08\u5185\u7a4d\uff09\u3068\u306f\u7570\u306a\u308a\u307e\u3059\u3002<\/p>\n<pre class=\"brush: python; title: ; notranslate\" title=\"\">\r\nimport numpy as np\r\n\r\na = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\r\n# array([[1, 2, 3],\r\n#        [4, 5, 6],\r\n#        [7, 8, 9]])\r\n\r\nb = np.array([[10, 20, 30], [40, 50, 60], [70, 80, 90]])\r\n# array([[10, 20, 30],\r\n#        [40, 50, 60],\r\n#        [70, 80, 90]])\r\n\r\n\r\na + b # \u8db3\u3057\u7b97\r\n# array([[11, 22, 33],\r\n#        [44, 55, 66],\r\n#        [77, 88, 99]])\r\n\r\na - b # \u5f15\u304d\u7b97\r\n# array([[ -9, -18, -27],\r\n#        [-36, -45, -54],\r\n#        [-63, -72, -81]])\r\n\r\na * b # \u639b\u3051\u7b97\r\n# array([[ 10,  40,  90],\r\n#        [160, 250, 360],\r\n#        [490, 640, 810]])\r\n\r\na \/ b # \u5272\u308a\u7b97\r\n# array([[ 0.1,  0.1,  0.1],\r\n#        [ 0.1,  0.1,  0.1],\r\n#        [ 0.1,  0.1,  0.1]])\r\n\r\n<\/pre>\n<p>\u4e0a\u8a18\u30b5\u30f3\u30d7\u30eb\u3067\u306f\uff12\u3064\u306e\u884c\u5217a, b\u306b\u5bfe\u3057\u3066\u6f14\u7b97\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002\u548c\u5dee\u306f\u901a\u5e38\u306e\u884c\u5217\u8a08\u7b97\u3068\u540c\u69d8\u3067\u3059\u304c\u3001\u7a4d\u306f\u8981\u7d20\u3054\u3068\u306b\u639b\u3051\u7b97\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u304c\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002\u307e\u305f\u3001\u4e00\u822c\u7684\u306a\u884c\u5217\u6f14\u7b97\u3068\u306f\u7570\u306a\u308a\u8981\u7d20\u3054\u3068\u306e\u5272\u308a\u7b97\u3082\u5b9a\u7fa9\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h2>\u884c\u5217\u306e\u8a08\u7b97<\/h2>\n<p>\u3067\u306f\u884c\u5217\u306e\u548c\u3001\u5dee\u3001\u7a4d\u306b\u3064\u3044\u3066\u3067\u3059\u3002\u548c\u3001\u5dee\u306fndarray\u306e\u6f14\u7b97\u306b\u306a\u308a\u307e\u3059\u306e\u3067\u7d30\u304b\u3044\u8aac\u660e\u306f\u7701\u7565\u3057\u307e\u3059\u3002<\/p>\n<h3>\u548c\u30fb\u5dee<\/h3>\n<p>ndarray\u306e+\u3001-\u3067\u548c\u30fb\u5dee\u306e\u8a08\u7b97\u304c\u53ef\u80fd\u3067\u3059\u3002\u5148\u307b\u3069\u306e\u30b5\u30f3\u30d7\u30eb\u306e\u548c\u5dee\u90e8\u5206\u306e\u307f\u518d\u63b2\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"brush: python; title: ; notranslate\" title=\"\">\r\nimport numpy as np\r\n\r\na = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\r\n# array([[1, 2, 3],\r\n#        [4, 5, 6],\r\n#        [7, 8, 9]])\r\n\r\nb = np.array([[10, 20, 30], [40, 50, 60], [70, 80, 90]])\r\n# array([[10, 20, 30],\r\n#        [40, 50, 60],\r\n#        [70, 80, 90]])\r\n\r\n\r\na + b # \u8db3\u3057\u7b97\r\n# array([[11, 22, 33],\r\n#        [44, 55, 66],\r\n#        [77, 88, 99]])\r\n\r\na - b # \u5f15\u304d\u7b97\r\n# array([[ -9, -18, -27],\r\n#        [-36, -45, -54],\r\n#        [-63, -72, -81]])\r\n\r\n<\/pre>\n<h3>\u7a4d\uff08\u5185\u7a4d\uff09<\/h3>\n<p>\u305d\u308c\u3067\u306f\u639b\u3051\u7b97\uff08\u5185\u7a4d\uff09\u3067\u3059\u3002np.dot\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u884c\u5217a\u3001b\u306b\u5bfe\u3057\u3001a\u00d7b\u3092\u884c\u3046\u5834\u5408\u306fnp.dot(a, b)\u3068\u8a18\u8ff0\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"brush: python; title: ; notranslate\" title=\"\">\r\nimport numpy as np\r\n\r\na = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\r\nb = np.array([[1, 2, 3], [1, 2, 3], [1, 2, 3]])\r\n\r\nnp.dot(a, b)\r\n# array([[ 6, 12, 18],\r\n#        [15, 30, 45],\r\n#        [24, 48, 72]])\r\n# \r\n<\/pre>\n<p>\u3082\u3046\u3072\u3068\u3064\u30b5\u30f3\u30d7\u30eb\u3067\u3059\u3002\u5358\u4f4d\u884c\u5217\u3092\u5de6\u53f3\u304b\u3089\u639b\u3051\u7b97\u3057\u3001\u5024\u304c\u5909\u308f\u3089\u306a\u3044\u3053\u3068\u3092\u78ba\u8a8d\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<pre class=\"brush: python; title: ; notranslate\" title=\"\">\r\nimport numpy as np\r\n\r\na = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\r\ne = np.eye(3)\r\n\r\nnp.dot(a, e)\r\n\r\n# array([[ 1.,  2.,  3.],\r\n#        [ 4.,  5.,  6.],\r\n#        [ 7.,  8.,  9.]])\r\n\r\n\r\nnp.dot(e, a)\r\n# array([[ 1.,  2.,  3.],\r\n#        [ 4.,  5.,  6.],\r\n#        [ 7.,  8.,  9.]])\r\n# \r\n<\/pre>\n<p>\u5de6\u53f3\u3069\u3061\u3089\u304b\u3089\u3067\u3082\u5024\u304c\u5909\u308f\u3089\u306a\u3044\u3053\u3068\u304c\u78ba\u8a8d\u3067\u304d\u307e\u3057\u305f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>NumPy\u3067\u57fa\u672c\u7684\u306a\u884c\u5217\u3092\u751f\u6210\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u5b66\u7fd2\u3057\u307e\u3057\u305f\u3002\u3053\u3053\u3067\u306f\u751f\u6210\u3057\u305f\u884c\u5217\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u5b66\u7fd2\u3057\u307e\u3059\u3002 ndarray\u306e\u56db\u5247\u6f14\u7b97 \u307e\u305a\u3001ndarray\u306e\u56db\u5247\u6f14\u7b97\u306b\u3064\u3044\u3066\u78ba\u8a8d\u3057\u307e\u3057\u3087\u3046\u3002ndarray\u306b\u306f\u6f14\u7b97\u304c...<\/p>\n","protected":false},"author":1,"featured_media":1607,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[168],"tags":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.python.ambitious-engineer.com\/wp-json\/wp\/v2\/posts\/1262"}],"collection":[{"href":"https:\/\/www.python.ambitious-engineer.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.python.ambitious-engineer.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.python.ambitious-engineer.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.python.ambitious-engineer.com\/wp-json\/wp\/v2\/comments?post=1262"}],"version-history":[{"count":5,"href":"https:\/\/www.python.ambitious-engineer.com\/wp-json\/wp\/v2\/posts\/1262\/revisions"}],"predecessor-version":[{"id":3504,"href":"https:\/\/www.python.ambitious-engineer.com\/wp-json\/wp\/v2\/posts\/1262\/revisions\/3504"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.python.ambitious-engineer.com\/wp-json\/wp\/v2\/media\/1607"}],"wp:attachment":[{"href":"https:\/\/www.python.ambitious-engineer.com\/wp-json\/wp\/v2\/media?parent=1262"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.python.ambitious-engineer.com\/wp-json\/wp\/v2\/categories?post=1262"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.python.ambitious-engineer.com\/wp-json\/wp\/v2\/tags?post=1262"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}