{"url":"https://ksmzn.hatenablog.com/entry/2014/02/16/004921","author_url":"https://blog.hatena.ne.jp/ksmzn/","author_name":"ksmzn","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fksmzn.hatenablog.com%2Fentry%2F2014%2F02%2F16%2F004921\" title=\"Numpy\u306e\u56fa\u6709\u5024\u3068\u56fa\u6709\u30d9\u30af\u30c8\u30eb - DPA\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","type":"rich","categories":["Python","Numpy"],"title":"Numpy\u306e\u56fa\u6709\u5024\u3068\u56fa\u6709\u30d9\u30af\u30c8\u30eb","width":"100%","height":"190","description":"\u52d8\u9055\u3044\u3057\u304c\u3061\u306a\u306e\u3067\u30e1\u30e2Numpy\u3067\u56fa\u6709\u5024\u3068\u56fa\u6709\u30d9\u30af\u30c8\u30eb\u3092\u6c42\u3081\u308b\u3002 In [2]: import numpy as np In [4]: A = np.array([[2,3],[1,4]]) In [6]: la, v = np.linalg.eig(A) In [8]: la, v Out[8]: (array([ 1., 5.]), array([[-0.9486833 , -0.70710678], [ 0.31622777, -0.70710678]])) \u3053\u306e\u3068\u304d\u3001\u56fa\u6709\u5024\uff11\u306b\u5bfe\u5fdc\u3059\u308b\u306e\u306f\u3001\u306f\u3058\u3081\u306e\u5217\u30d9\u30af\u30c8\u30eb[-0.9486833, 0.31622777] \u3067\u3042\u308b\u3002 In [9]: l\u2026","provider_name":"Hatena Blog","provider_url":"https://hatena.blog","version":"1.0","blog_url":"https://ksmzn.hatenablog.com/","published":"2014-02-16 00:49:21","blog_title":"DPA","image_url":null}