Answers for "pandas count nan in multiple columns"

2

count rows with nan pandas

np.count_nonzero(df.isnull().values)   
 np.count_nonzero(df.isnull())           # also works
Posted by: Guest on January-14-2021
0

pandas value_counts multiple columns

In [212]:
df = pd.DataFrame(np.random.randint(0, 2, (10, 4)), columns=list('abcd'))
df.apply(pd.Series.value_counts)
Out[212]:
   a  b  c  d
0  4  6  4  3
1  6  4  6  7
Posted by: Guest on September-28-2020

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