{"provider_url":"https://hatena.blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fclientver2.hatenablog.com%2Fentry%2F2016%2F02%2F17%2F173735\" title=\"\u5e73\u5747\u60c5\u5831\u91cf\u3067\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u66d6\u6627\u3055\u3092\u56f3\u3063\u3066\u307f\u308b(python) - \u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u7cfb\u52c9\u5f37\u30ce\u30fc\u30c8\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_name":"Hatena Blog","author_name":"clientver2","type":"rich","height":"190","version":"1.0","url":"https://clientver2.hatenablog.com/entry/2016/02/17/173735","blog_title":"\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u7cfb\u52c9\u5f37\u30ce\u30fc\u30c8","image_url":"http://cdn-ak.f.st-hatena.com/images/fotolife/c/clientver2/20160217/20160217173106.png","description":"\u6df7\u5408\u30ac\u30a6\u30b9\u5206\u5e03\u3067\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3092\u884c\u3046\u969b\u306b\u4efb\u610f\u306e\u70b9\u304c\u3069\u306e\u30af\u30e9\u30b9\u30bf\u306b\u5c5e\u3059\u308b\u304b\u306e\u6240\u5c5e\u5ea6\u3092\u4f7f\u3063\u3066\uff0c\u305d\u306e\u70b9\u304c\u3069\u306e\u30af\u30e9\u30b9\u30bf\u306b\u5c5e\u3059\u308b\u304b\u306e\u66d6\u6627\u3055\u3092\u5e73\u5747\u60c5\u5831\u91cf\u3067\u6c42\u3081\u3066\u307f\u307e\u3057\u305f\uff0e\u4f55\u304b\u306b\u4f7f\u3048\u308b\u304b\u3082\u3057\u308c\u306a\u3044\u306e\u3067\u30e1\u30e2\u3063\u3066\u304a\u304d\u307e\u3059\u307e\u305a\u30b5\u30f3\u30d7\u30eb\u70b9\u3092\u751f\u6210\u3059\u308b\u307e\u305a\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u7528\u306e\u30b5\u30f3\u30d7\u30eb\u70b9\u3092\u751f\u6210\u3057\u307e\u3059\uff0e\uff14\u30af\u30e9\u30b9\u30bf\u306b\u5206\u304b\u308c\u3066\u307e\u3059\uff0e #encoding:utf-8 #\u5e73\u5747 mu1 = [-2,-2] mu2 = [2,2] #\u5171\u5206\u6563 cov = [[0.1,0.0],[0.0,0.1]] #500\u306f\u30c7\u30fc\u30bf\u6570 x1,y1 = np.random.multivariate_normal(np.array([1.0,1.0]),cov\u2026","width":"100%","categories":["Python","\u78ba\u7387\u7d71\u8a08"],"blog_url":"https://clientver2.hatenablog.com/","title":"\u5e73\u5747\u60c5\u5831\u91cf\u3067\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u66d6\u6627\u3055\u3092\u56f3\u3063\u3066\u307f\u308b(python)","author_url":"https://blog.hatena.ne.jp/clientver2/","published":"2016-02-17 17:37:35"}