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 want to fill NaN for a specific column you can use loc:

d1 = {"Col1" : ['A', 'B', 'C'],
     "fruits": ['Avocado', 'Banana', 'NaN']}
d1= pd.DataFrame(d1)

output:

Col1    fruits
0   A   Avocado
1   B   Banana
2   C   NaN


d1.loc[ d1.Col1=='C', 'fruits' ] =  'Carrot'


output:

Col1    fruits
0   A   Avocado
1   B   Banana
2   C   Carrot