all.equal tests for near equality, while identical is more exact (e.g. it has no tolerance for differences, and it compares storage type). From ?identical: The function ‘all.equal’ is also sometimes used to test equality this way, but was intended for something different: it allows for small differences in numeric results. And one reason you would … Read more
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’])
Why doesn’t 1.0 = 2.0 work? Isn’t real an equality type? No. The type variable ”Z indicates that the operands of = must have equality types. Why won’t reals in patterns work […]? Pattern matching relies implicitly on testing for equality. The cryptic error message syntax error: inserting EQUALOP indicates that the SML/NJ parser does … Read more