python panda: return indexes of common rows

Question

Apologies, if this is a fairly newbie question. I was trying to find which rows are common between two data frames. The return values should be the row indexes of df2

Answer 1

This can easily be done by merging (inner join) both dataframes:

common_rows = pd.merge(df1, df2.reset_index(), how='inner', on=['idx_values'])