colour.uv_to_CCT

colour.uv_to_CCT(uv: ArrayLike, method: Literal['Krystek 1985', 'Ohno 2013', 'Planck 1900', 'Robertson 1968'] | str = 'Ohno 2013', **kwargs: Any) → NDArrayFloat

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 (Literal['Krystek 1985', 'Ohno 2013', 'Planck 1900', 'Robertson 1968'] | str) – Computation method.

• cmfs – {colour.temperature.uv_to_CCT_Ohno2013(), colour.temperature.uv_to_CCT_Planck1900()}, 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 for scipy.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:

numpy.ndarray

References

[AdobeSystems13b], [AdobeSystems13a], [CIET14804e], [Kry85], [Ohn14], [WS00m]

Examples

>>> import numpy as np
>>> uv = np.array([0.1978, 0.3122])
>>> uv_to_CCT(uv)  
array([  6.5074747...e+03,   3.2233463...e-03])