I think what you want is possible using merge. Pass in the keyword arguments for left_on and right_on to tell Pandas which column(s) from each DataFrame to use as keys:
pandas.merge(df1, df2, how='left', left_on=['id_key'], right_on=['fk_key'])
The documentation describes this in more detail on this page.