colour.uv_to_CCT¶
- colour.uv_to_CCT(uv: ArrayLike, method: Union[Literal['Krystek 1985', 'Ohno 2013', 'Robertson 1968'], str] = 'Ohno 2013', **kwargs: Any) numpy.ndarray[source]¶
Return the correlated colour temperature \(T_{cp}\) and \(\Delta_{uv}\) from given CIE UCS colourspace uv chromaticity coordinates using given method.
- Parameters
uv (ArrayLike) – CIE UCS colourspace uv chromaticity coordinates.
method (Union[Literal['Krystek 1985', 'Ohno 2013', 'Robertson 1968'], str]) – Computation method.
cmfs – {
colour.temperature.uv_to_CCT_Ohno2013()}, Standard observer colour matching functions.count – {
colour.temperature.uv_to_CCT_Ohno2013()}, Temperatures count in the planckian tables.end – {
colour.temperature.uv_to_CCT_Ohno2013()}, Temperature range end in kelvins.iterations – {
colour.temperature.uv_to_CCT_Ohno2013()}, Number of planckian tables to generate.optimisation_kwargs – {
colour.temperature.uv_to_CCT_Krystek1985()}, Parameters forscipy.optimize.minimize()definition.start – {
colour.temperature.uv_to_CCT_Ohno2013()}, Temperature range start in kelvins.kwargs (Any) –
- Returns
Correlated colour temperature \(T_{cp}\), \(\Delta_{uv}\).
- Return type
References
[AdobeSystems13a], [AdobeSystems13b], [Kry85], [Ohn14], [WS00e]
Examples
>>> import numpy as np >>> uv = np.array([0.1978, 0.3122]) >>> uv_to_CCT(uv) array([ 6.507473...e+03, 3.223346...e-03])