colour.utilities.to_domain_1#
- colour.utilities.to_domain_1(a: ArrayLike, scale_factor: ArrayLike = 100, dtype: Type[DTypeFloat] | None = None) ndarray[Any, dtype[_ScalarType_co]] [source]#
Scale given array \(a\) to domain ‘1’. The behaviour is as follows:
If Colour domain-range scale is ‘Reference’ or ‘1’, the definition is almost entirely by-passed and will conveniently convert array \(a\) to
np.ndarray
.If Colour domain-range scale is ‘100’ (currently unsupported private value only used for unit tests), array \(a\) is divided by
scale_factor
, typically 100.
- Parameters:
a (ArrayLike) – Array \(a\) to scale to domain ‘1’.
scale_factor (ArrayLike) – Scale factor, usually numeric but can be a
numpy.ndarray
if some axis need different scaling to be brought to domain ‘1’.dtype (Type[DTypeFloat] | None) – Data type used for the conversion to
np.ndarray
.
- Returns:
Array \(a\) scaled to domain ‘1’.
- Return type:
Examples
With Colour domain-range scale set to ‘Reference’:
>>> with domain_range_scale("Reference"): ... to_domain_1(1) array(1.0)
With Colour domain-range scale set to ‘1’:
>>> with domain_range_scale("1"): ... to_domain_1(1) array(1.0)
With Colour domain-range scale set to ‘100’ (unsupported):
>>> with domain_range_scale("100"): ... to_domain_1(1) array(0.01)