\u307e\u305a\u306f\u30015\u884c3\u5217\u306e\u914d\u5217\u5909\u6570\u30923\u500b\u4f5c\u3063\u3066\u307f\u308b\u3002<\/p>\n
\r\n>>> a=np.zeros([5,3])\r\n>>> a\r\narray([[ 0., 0., 0.],\r\n [ 0., 0., 0.],\r\n [ 0., 0., 0.],\r\n [ 0., 0., 0.],\r\n [ 0., 0., 0.]])\r\n>>>\r\n>>> b=np.ones([5,3])\r\n>>> b\r\narray([[ 1., 1., 1.],\r\n [ 1., 1., 1.],\r\n [ 1., 1., 1.],\r\n [ 1., 1., 1.],\r\n [ 1., 1., 1.]])\r\n>>>\r\n>>> c=np.random.rand(5,3)\r\n>>> c\r\narray([[ 0.16668109, 0.16426297, 0.33385086],\r\n [ 0.47174275, 0.44352061, 0.67223213],\r\n [ 0.79063585, 0.06861268, 0.59725334],\r\n [ 0.90522505, 0.93270762, 0.27228631],\r\n [ 0.57300036, 0.93921266, 0.00304121]])\r\n<\/pre>\n\u8db3\u3057\u7b97\u30fb\u5f15\u304d\u7b97\u3057\u3066\u307f\u308b\u3002<\/p>\n
\r\n>>> a+b\r\narray([[ 1., 1., 1.],\r\n [ 1., 1., 1.],\r\n [ 1., 1., 1.],\r\n [ 1., 1., 1.],\r\n [ 1., 1., 1.]])\r\n>>>\r\n>>> a+b*2\r\narray([[ 2., 2., 2.],\r\n [ 2., 2., 2.],\r\n [ 2., 2., 2.],\r\n [ 2., 2., 2.],\r\n [ 2., 2., 2.]])\r\n>>>\r\n>>> b+c\r\narray([[ 1.16668109, 1.16426297, 1.33385086],\r\n [ 1.47174275, 1.44352061, 1.67223213],\r\n [ 1.79063585, 1.06861268, 1.59725334],\r\n [ 1.90522505, 1.93270762, 1.27228631],\r\n [ 1.57300036, 1.93921266, 1.00304121]])\r\n>>>\r\n>>> b+b+c\r\narray([[ 2.16668109, 2.16426297, 2.33385086],\r\n [ 2.47174275, 2.44352061, 2.67223213],\r\n [ 2.79063585, 2.06861268, 2.59725334],\r\n [ 2.90522505, 2.93270762, 2.27228631],\r\n [ 2.57300036, 2.93921266, 2.00304121]])\r\n>>>\r\n>>> b*2-c\r\narray([[ 1.83331891, 1.83573703, 1.66614914],\r\n [ 1.52825725, 1.55647939, 1.32776787],\r\n [ 1.20936415, 1.93138732, 1.40274666],\r\n [ 1.09477495, 1.06729238, 1.72771369],\r\n [ 1.42699964, 1.06078734, 1.99695879]])\r\n<\/pre>\n
\n","protected":false},"excerpt":{"rendered":"\u307e\u305a\u306f\u30015\u884c3\u5217\u306e\u914d\u5217\u5909\u6570\u30923\u500b\u4f5c\u3063\u3066\u307f\u308b\u3002 >>> a=np.zeros([5,3]) >>> a array([[ 0., 0., 0.], [ 0., 0., 0.], [ 0., 0., 0.], [ 0., 0\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-69","post","type-post","status-publish","format-standard","hentry","category-numpy"],"views":4778,"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/69","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=69"}],"version-history":[{"count":8,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/69\/revisions"}],"predecessor-version":[{"id":2604,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/69\/revisions\/2604"}],"wp:attachment":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/media?parent=69"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/categories?post=69"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/tags?post=69"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}