Adding values of common columns in pandas dataframe

Question

Let's say i have two pandas dataframes like this:

Set1: 

   x   y
0  10  20
1  30  40
2  50  60

Set2:

   x   y
0  60  50
1  40  30
2  20  10

Now, these two dataframes have the same column names and same index numbers. I would want to add the corresponding values of each column, so the resultant should look like this:

   x   y
0  70  70
1  70  70
2  70  70

Answer 1

Result = Set1.add(Set2)

   x   y
0  70  70
1  70  70
2  70  70