to detect if a data frame has nan values
> df.isnull().any().any()
True
to detect if a data frame has nan values
> df.isnull().any().any()
True
isnull().mean() python
df.isnull()
#Mask all values that are NaN as True
df.isnull().mean()
#compute the mean of Boolean mask (True evaluates as 1 and False as 0)
df.isnull().mean().sort_values(ascending = False)
#sort the resulting series by column names descending
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