{"provider_name":"Hatena Blog","description":"\u306f\u3058\u3081\u306b \u5c11\u3057\u30cf\u30de\u3063\u3066\u3057\u307e\u3063\u305f\u3068\u3053\u308d\u306a\u306e\u3067\u30e1\u30e2\u3002 NumPy\u3067\u306f\u3001\u3042\u308bndarray\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u660e\u793a\u7684\u306b\u53c2\u7167\u3059\u308b\u624b\u6bb5\u3068\u3057\u3066view\u304c\u3042\u308a\u307e\u3059\u3002 numpy.ndarray.view \u2014 NumPy v1.19 Manual \u4f7f\u7528\u4f8b\uff1a >>> x = np.arange(0,5) >>> x array([0, 1, 2, 3, 4]) >>> y = x.view() >>> y array([0, 1, 2, 3, 4]) >>> y[2] = 5 >>> y array([0, 1, 5, 3, 4]) >>> x array([0, 1, 5, 3, 4]) view \u3067\u3042\u308b y \u306e\u8981\u2026","version":"1.0","height":"190","author_name":"Kurene","url":"https://www.wizard-notes.com/entry/python/numpy-view","categories":["Python","NumPy"],"provider_url":"https://hatena.blog","blog_title":"Wizard Notes","published":"2020-10-29 00:07:33","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.wizard-notes.com%2Fentry%2Fpython%2Fnumpy-view\" title=\" NumPy\u306e\u30d3\u30e5\u30fc(view)\u304c\u3069\u306endarray\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u53c2\u7167\u3057\u3066\u3044\u308b\u304b\u78ba\u8a8d\u3059\u308b\u65b9\u6cd5 - Wizard Notes\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","blog_url":"https://www.wizard-notes.com/","title":" NumPy\u306e\u30d3\u30e5\u30fc(view)\u304c\u3069\u306endarray\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u53c2\u7167\u3057\u3066\u3044\u308b\u304b\u78ba\u8a8d\u3059\u308b\u65b9\u6cd5","type":"rich","width":"100%","author_url":"https://blog.hatena.ne.jp/Kurene/","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/K/Kurene/20201029/20201029000621.png"}