pyvista.core._validation.validate.validate_data_range#
- validate_data_range(rng, /, **kwargs)[source]#
Validate a data range.
By default, the data range is checked to ensure:
it has two values
it has real numbers
the lower bound is not more than the upper bound
- Parameters:
- rngarray_like[
float
,float
] Range to validate in the form
(lower_bound, upper_bound)
.- **kwargs
dict
,optional
Additional keyword arguments passed to
validate_array()
.
- rngarray_like[
- Returns:
tuple
Validated range as
(lower_bound, upper_bound)
.
See also
validate_array
Generic array validation function.
Examples
Validate a data range.
>>> from pyvista import _validation >>> _validation.validate_data_range([-5, 5]) (-5, 5)
Add additional constraints if needed.
>>> _validation.validate_data_range([0, 1.0], must_be_nonnegative=True) (0.0, 1.0)