{"provider_url":"https://hatena.blog","url":"https://enakai00.hatenablog.com/entry/20150102/1420199915","title":"pandas\u306eDataFrame\u304b\u3089\u306e\u30c7\u30fc\u30bf\u9078\u629e","published":"2015-01-02 20:58:35","height":"190","image_url":null,"version":"1.0","width":"100%","author_name":"enakai00","type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fenakai00.hatenablog.com%2Fentry%2F20150102%2F1420199915\" title=\"pandas\u306eDataFrame\u304b\u3089\u306e\u30c7\u30fc\u30bf\u9078\u629e - \u3081\u3082\u3081\u3082\" 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://enakai00.hatenablog.com/","blog_title":"\u3081\u3082\u3081\u3082","categories":[],"description":"\u30b5\u30f3\u30d7\u30eb In [23]: df = DataFrame(np.arange(20).reshape(5,4), columns=[list('abcd')], index=['one','two','three','four','five']) In [24]: df Out[24]: a b c d one 0 1 2 3 two 4 5 6 7 three 8 9 10 11 four 12 13 14 15 five 16 17 18 19 Dictionary\u8a18\u6cd5\u3001\u3082\u3057\u304f\u306f\u3001Attribute\u8a18\u6cd5\u3067columns\u3092\u62bd\u51fa In [25]: df['a'] Out[25]: one 0 \u2026","provider_name":"Hatena Blog","author_url":"https://blog.hatena.ne.jp/enakai00/"}