Reputation: 79
I have two DataFrames:
df = pd.DataFrame({'A':[1,2],
'B':[3,4]})
A B
0 1 3
1 2 4
df2 = pd.DataFrame({'A':[3,2,1],
'C':[5,6,7]})
A C
0 3 5
1 2 6
2 1 7
and I want to merge in a way that the column 'A' add the different values between DataFrames but merge the duplicates.
Desired output:
A B C
0 3 NaN 5
1 2 4 6
2 1 3 7
Upvotes: 0
Views: 57
Reputation:
You can use combine_first
:
df2 = df2.combine_first(df)
Output:
A B C
0 1 3.0 5
1 2 4.0 6
2 3 NaN 7
Upvotes: 1