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adding a column to dataframe using value from different columns

I am trying to add a new column in my dataframe by using values from different columns of the dataframe and getting some error. Here is my dataframe
import pandas as pd
df = pd.DataFrame({‘A’:[1,2,3],
‘B’:[3,4,5],
‘C’:[7,8,9],
‘D’:[3,4,5]})

and i want to create a new column in data frame such that for each unique value of column D, the sum of value of column A and B is added as a new column but using different values.
for example if the value of D is 5, i want the new column to contain the value of column A and B for that 5 and i want it to be indexed as 1 as the value of A for 1 and the value of B for 1
and similarly if the value of d is 8, i want the new column to contain the value of column A and B for that 8 and i want it to be indexed as 2. etc
note that the columns of dataframe can not be named d,a or b etc
So far, I have done this:
df2 = pd.DataFrame(columns = [‘d’, ‘a’, ‘b’, ‘c’, ‘d’])
df2 = df.merge(df2, left_on = ‘d’, right_on = ‘d’)
df
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HACK Adobe Acrobat Pro Dc 18.011.20038 Crack 2018 ‘LINK’

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