Function to replace NaN values in a dataframe with mean of the related column

Question

EDIT: This question is not a clone of pandas dataframe replace nan values with average of columns because I want to replace the value of each column with th

Answer 1

To fill NaN of each column with its respective mean use:

df.apply(lambda x: x.fillna(x.mean()))