{"description":"pandas.DataFrame \u2014 pandas 0.23.4 documentation \u3053\u3046\u3044\u3046\u3075\u3046\u306b\u3057\u3066\u30ab\u30e9\u30e0\u3060\u3051\u5b9a\u7fa9\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002 pds = pd.DataFrame(columns=[ 'id', 'name' ])","version":"1.0","type":"rich","title":"DataFrame \u30ab\u30e9\u30e0\u3060\u3051","blog_url":"https://www.shigemk2.com/","published":"2018-10-29 20:19:47","image_url":null,"provider_url":"https://hatena.blog","url":"https://www.shigemk2.com/entry/2018/10/29/201947","blog_title":"by shigemk2","height":"190","categories":["Python"],"provider_name":"Hatena Blog","author_url":"https://blog.hatena.ne.jp/shigemk2/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.shigemk2.com%2Fentry%2F2018%2F10%2F29%2F201947\" title=\"DataFrame \u30ab\u30e9\u30e0\u3060\u3051 - by shigemk2\" 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":"shigemk2","width":"100%"}