Answers for "impute nan pandas"

fill missing values in column pandas with mean

df.fillna(df.mean(), inplace=True)

replace nan in pandas

df['DataFrame Column'] = df['DataFrame Column'].fillna(0)

python pandas replace nan with null

df.fillna('', inplace=True)

how to fill missing values dataframe with mean

sub2['income'].fillna((sub2['income'].mean()), inplace=True)

python dataframe replace nan with 0

In [7]: df
Out[7]: 
          0         1
0       NaN       NaN
1 -0.494375  0.570994
2       NaN       NaN
3  1.876360 -0.229738
4       NaN       NaN

In [8]: df.fillna(0)
Out[8]: 
          0         1
0  0.000000  0.000000
1 -0.494375  0.570994
2  0.000000  0.000000
3  1.876360 -0.229738
4  0.000000  0.000000