Reputation: 519
Assuming there are two dataframes
df1 = pd.DataFrame([[8, 4],[9, 4],[1, 8]],columns=['A','B'])
df2 = pd.DataFrame([[7, 1],[3, 9],[9, 2],[8, 7],[5, 5],[3, 8]],columns=['A','B'])
if I add df1 and df2 I get something like this
A B
0 15.0 5.0
1 12.0 13.0
2 10.0 10.0
3 NaN NaN
4 NaN NaN
5 NaN NaN
row 3 through 5 are NaN as df1 and df2 shapes differed.
Now, how do I get below as the output when I add df1 and df2?
A B
0 15.0 5.0
1 12.0 13.0
2 10.0 10.0
3 8.0 7.0
4 5.0 5.0
5 3.0 8.0
Upvotes: 1
Views: 55
Reputation: 889
I assume you are using +. Try add instead, where you can supply the fill_value.
df1.add(df2, fill_value=0)
which gives
A B
0 15.0 5.0
1 12.0 13.0
2 10.0 10.0
3 8.0 7.0
4 5.0 5.0
5 3.0 8.0
Upvotes: 2