{"height":"190","provider_name":"Hatena Blog","image_url":null,"version":"1.0","type":"rich","author_url":"https://blog.hatena.ne.jp/rare_Remrin/","categories":["pandas","python","\u30e9\u30a4\u30d6\u30e9\u30ea"],"published":"2017-05-08 21:21:20","title":"pandas\u306e\u4f7f\u3044\u65b9\uff08\uff12\uff09\u3000DataFrame\u306e\u751f\u6210","blog_title":"Remrin\u306epython\u653b\u7565\u65e5\u8a18","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fpython-remrin.hatenadiary.jp%2Fentry%2F2017%2F05%2F08%2F212120\" title=\"pandas\u306e\u4f7f\u3044\u65b9\uff08\uff12\uff09\u3000DataFrame\u306e\u751f\u6210 - 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>","author_name":"rare_Remrin","url":"https://python-remrin.hatenadiary.jp/entry/2017/05/08/212120","width":"100%","provider_url":"https://hatena.blog","description":"\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u4f5c\u308b\uff08\uff11\uff09 numpy\u306e\u914d\u5217\u304b\u3089\u4f5c\u308b\u3002 import numpy as np import pandas as pd a = np.random.randint(1, 100, (3, 2)) frame = pd.DataFrame(a, columns=[\"a\", \"b\"]) print(frame) # a b # 0 85 80 # 1 85 10 # 2 17 38 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u4f5c\u308b\uff08\uff12\uff09\u30ea\u30b9\u30c8\u304b\u3089 import numpy as np import pandas as pd d =[[1, 2, 3], [50, 60, 70]] frame = pd.Data\u2026","blog_url":"https://python-remrin.hatenadiary.jp/"}