validate_data_range

validate_data_range(rng: VectorLike[float], /, **kwargs)

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:

rngVectorLike[float]

Range to validate in the form (lower_bound, upper_bound).

**kwargsdict, optional

Additional keyword arguments passed to validate_array().

Returns:

tuple

Validated range as (lower_bound, upper_bound).

See also

validate_array

Generic array validation function.

Examples

Download Python source code | Download Jupyter notebook

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)