{"categories":["pandas","Python"],"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fnekoyukimmm.hatenablog.com%2Fentry%2F2016%2F03%2F04%2F224609\" title=\"&lt;Python, pandas&gt; Nan\u306e\u3042\u308b\u884c\u3092\u9078\u629e\u3059\u308b\u3002Nan\u306a\u3044\u884c\u3092\u9078\u629e\u3059\u308b\u3002 - \u306d\u3053\u3086\u304d\u306e\u30e1\u30e2\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","type":"rich","width":"100%","provider_name":"Hatena Blog","title":"<Python, pandas> Nan\u306e\u3042\u308b\u884c\u3092\u9078\u629e\u3059\u308b\u3002Nan\u306a\u3044\u884c\u3092\u9078\u629e\u3059\u308b\u3002","blog_url":"https://nekoyukimmm.hatenablog.com/","url":"https://nekoyukimmm.hatenablog.com/entry/2016/03/04/224609","author_name":"nekoyukimmm","author_url":"https://blog.hatena.ne.jp/nekoyukimmm/","version":"1.0","height":"190","blog_title":"\u306d\u3053\u3086\u304d\u306e\u30e1\u30e2","published":"2016-03-04 22:46:09","provider_url":"https://hatena.blog","image_url":null,"description":"Nan\u306e\u3042\u308b\u884c\u3001\u306a\u3044\u884c\u3092\u9078\u629e\u3059\u308b\u3002 .isnull()\u3068.dropna()\u3002 \u304a\u4e92\u3044\u304c\u9006\u3060\u304c\u3001\u8fd4\u3059\u5024\u304c\u3061\u3068\u9055\u3046\u3002 \u307e\u305a\u306f\u3001Nan\u306e\u3042\u308b\u884c\u3092\u9078\u629e\u3002 In [31]: import pandas as pd In [32]: import numpy as np In [33]: df = pd.DataFrame({'a':[1,2,np.nan,3,4],'b':[np.nan,2,3,np.nan,5]}) In [34]: df Out[34]: a b 0 1 NaN 1 2 2 2 NaN 3 3 3 NaN 4 4 5 In [35]: df.isnull() Out[35]: a \u2026"}