Pandas - intersection of two data frames based on column entries

Question

Suppose I have two DataFrames like so:

>>dfA
             S                      T            prob
0        ! ! !                ! ! ! !   8.1623999e-0         


        

Answer 1

You can merge them so:

s1 = pd.merge(dfA, dfB, how='inner', on=['S', 'T'])

To drop NA rows:

s1.dropna(inplace=True)