More idiomatic version of "df.isnull().any().any()" w/ a Pandas DataFrame?
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00:00 Question
00:31 Accepted answer (Score 4)
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https://stackoverflow.com/questions/2431...
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--
Music by Eric Matyas
https://www.soundimage.org
Track title: Riding Sky Waves v001
--
Chapters
00:00 Question
00:31 Accepted answer (Score 4)
00:46 Thank you
--
Full question
https://stackoverflow.com/questions/2431...
--
Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...
--
Tags
#python #pandas
#avk47
ACCEPTED ANSWER
Score 4
I think it's to use numpy's any:
In [11]: df = pd.DataFrame([[1, 2], [3, np.nan]])
In [12]: df.isnull().any().any()
Out[12]: True
In [13]: np.any(df.isnull())
Out[13]: True