{"blog_title":"\u306d\u3053\u3086\u304d\u306e\u30e1\u30e2","height":"190","published":"2016-06-07 16:03:25","url":"https://nekoyukimmm.hatenablog.com/entry/2016/06/07/160325","title":" pandas\u3067jinja\u3092\u3061\u3087\u3063\u3068\u3002","author_url":"https://blog.hatena.ne.jp/nekoyukimmm/","type":"rich","width":"100%","provider_name":"Hatena Blog","provider_url":"https://hatena.blog","html":"","description":"pandas\u3067jinja\u3092\u3061\u3087\u3063\u3068\u3084\u3063\u3066\u307f\u305f\u3002 pandas\u306e\u30b7\u30ea\u30fc\u30baSeries\u306e\u8981\u7d20\u3092\u9806\u306b\u4e26\u3079\u308b\u3002 \u307e\u305a\u3001import\u3057\u3066\u3001jinja\u306e\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8template\u3092\u4f5c\u308b\u3002 In [109]: import pandas as pd In [110]: from jinja2 import Template In [111]: df = pd.DataFrame({'a':[1,2,3,4,5], 'b':[6,7,8,9,10], 'c':[11,12,13,14,15]}) In [112]: s = ''' ...: ...:

...: {% for item\u2026","blog_url":"https://nekoyukimmm.hatenablog.com/","image_url":null,"author_name":"nekoyukimmm","version":"1.0","categories":["Python","jinja","pandas"]}