Using pandas, what is an efficient way to find all rows where subset of columns are identical, except for 1, and populate those values in new column

Question

I have a DataFrame on the following format

 |   Event Pair  |  Attribute Type | Attribute Value | Support A -> B  
      (A,B)               A