My question is quite similar to Multiply two pandas DataFrames based on column and Multiply two data frames with similar index in python pandas but a little different. I tried both the suggestions but it didn't work for me.
All my inputs are read from a csv file.
Input 1
Attr1 Attr2
0 10 20
1 30 40
Assume Input 2 specifies weights for Attr1 and Attr2
Input 2
Attr1 Attr2
0 5 6
My output would be multiplying the weights from Input 2 to every row of that corresponding attribute in Input 1 so my output needs to be
Attr1 Attr2
0 50 120
1 150 240
You can first select first row in d2 - output is Series and then multiple by mul:
print (d2.iloc[0])
Attr1 5
Attr2 6
Name: 0, dtype: int64
d = d1.mul(d2.iloc[0])
print (d)
Attr1 Attr2
0 50 120
1 150 240
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