How to replace NaN values by Zeroes in a column of a Pandas Dataframe?

Question

I have a Pandas Dataframe as below:

      itm Date                  Amount 
67    420 2012-09-30 00:00:00   65211
68    421 2012-09-09 00:00:00   29424
69             


        

Answer 1

It is not guaranteed that the slicing returns a view or a copy. You can do

df['column'] = df['column'].fillna(value)