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

Considering the particular column Amount in the above table is of integer type. The following would be a solution :

df['Amount'] = df.Amount.fillna(0).astype(int)

Similarly, you can fill it with various data types like float, str and so on.

In particular, I would consider datatype to compare various values of the same column.