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

If you were to convert it to a pandas dataframe, you can also accomplish this by using fillna.

import numpy as np
df=np.array([[1,2,3, np.nan]])

import pandas as pd
df=pd.DataFrame(df)
df.fillna(0)

This will return the following:

     0    1    2   3
0  1.0  2.0  3.0 NaN
>>> df.fillna(0)
     0    1    2    3
0  1.0  2.0  3.0  0.0