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Alex
24 Jun 2016
1df.isnull()
2#Mask all values that are NaN as True
3df.isnull().mean()
4#compute the mean of Boolean mask (True evaluates as 1 and False as 0)
5df.isnull().mean().sort_values(ascending = False)
6#sort the resulting series by column names descending
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Yohann
05 Sep 2016
1df.isnull().sum()
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Max
03 Oct 2017
1pd.isna(your_series) #Return True value when None is found
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