{"provider_name":"Hatena Blog","width":"100%","description":"Numpy\u306e\u914d\u5217\u306e\u7d50\u5408\u30fb\u5206\u5272\u306b\u3064\u3044\u3066\u3002 np.concatenate() \uff12\u500b\u4ee5\u4e0a\u306e\u914d\u5217\u3092\u8ef8\u6307\u5b9a\u3057\u3066\u7d50\u5408\u3059\u308b\u3002 \u8ef8\u6307\u5b9a\u30aa\u30d7\u30b7\u30e7\u30f3\u306eaxis\u306f\u30c7\u30d5\u30a9\u30eb\u30c8\u304c0 \u30de\u30b9\u30af\u306f\u4fdd\u5b58\u3055\u308c\u306a\u3044\u3002\uff08\u30de\u30b9\u30af\u306b\u3064\u3044\u3066\u306f\u5225\u306e\u8a18\u4e8b\u3067\uff09 import numpy as np a1 = np.array([[1, 2, 3], [4, 5, 6]]) a2 = np.array([[7, 8, 9], [0, 11, 12]]) print(np.concatenate([a1, a2], axis=0)) # [[ 1 2 3] # [ 4 5 6] # [ 7 8 9] # [ 10 11 12]] print(np.\u2026","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fpython-remrin.hatenadiary.jp%2Fentry%2Fconcatenate\" title=\"Numpy\u306e\u4f7f\u3044\u65b9\uff08\uff11\uff13\uff09\u3000\u7d50\u5408\u30fb\u5206\u5272 - Remrin\u306epython\u653b\u7565\u65e5\u8a18\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_url":"https://hatena.blog","author_url":"https://blog.hatena.ne.jp/rare_Remrin/","type":"rich","author_name":"rare_Remrin","published":"2017-05-13 11:39:42","title":"Numpy\u306e\u4f7f\u3044\u65b9\uff08\uff11\uff13\uff09\u3000\u7d50\u5408\u30fb\u5206\u5272","height":"190","url":"https://python-remrin.hatenadiary.jp/entry/concatenate","version":"1.0","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/r/rare_Remrin/20170513/20170513132338.png","blog_title":"Remrin\u306epython\u653b\u7565\u65e5\u8a18","blog_url":"https://python-remrin.hatenadiary.jp/","categories":["numpy","\u30e9\u30a4\u30d6\u30e9\u30ea","python"]}