colour.temperature.xy_to_CCT_Kang2002#

colour.temperature.xy_to_CCT_Kang2002(xy: ArrayLike, optimisation_kwargs: dict | None = None) → NDArrayFloat[source]#

Return the correlated colour temperature \(T_{cp}\) from given CIE xy chromaticity coordinates using Kang et al. (2002) method.

Parameters:

xy (ArrayLike) – CIE xy chromaticity coordinates.
optimisation_kwargs (dict | None) – Parameters for scipy.optimize.minimize() definition.

Returns:

Correlated colour temperature \(T_{cp}\).

Return type:

numpy.ndarray

Warning

Kang et al. (2002) does not give an analytical inverse transformation to compute the correlated colour temperature \(T_{cp}\) from given CIE xy chromaticity coordinates, the current implementation relies on optimisation using scipy.optimize.minimize() definition and thus has reduced precision and poor performance.

References

[KMH+02]

Examples

>>> xy_to_CCT_Kang2002(np.array([0.31342600, 0.32359597]))
... 
6504.3893128...