Comparing floats in a pandas column

Question

I have the following dataframe:

       actual_credit    min_required_credit
   0   0.3              0.4
   1   0.5              0.2
   2   0.4              0         


        

Answer 1

Due to imprecise float comparison you can or your comparison with np.isclose, isclose takes a relative and absolute tolerance param so the following should work:

df['result'] = df['actual_credit'].ge(df['min_required_credit']) | np.isclose(df['actual_credit'], df['min_required_credit'])