colour.temperature.xy_to_CCT_CIE_D#
- colour.temperature.xy_to_CCT_CIE_D(xy: ArrayLike, optimisation_kwargs: dict | None = None) NDArrayFloat [source]#
Return the correlated colour temperature \(T_{cp}\) of a CIE Illuminant D Series from its CIE xy chromaticity coordinates.
- 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:
Warning
The CIE Illuminant D Series method 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
[WS00k]
Examples
>>> xy_to_CCT_CIE_D(np.array([0.31270775, 0.32911283])) ... 6504.3895840...