colour.corresponding.corresponding_chromaticities_prediction_CMCCAT2000#

colour.corresponding.corresponding_chromaticities_prediction_CMCCAT2000(experiment: Union[Literal[1, 2, 3, 4, 6, 8, 9, 11, 12], CorrespondingColourDataset] = 1) Tuple[CorrespondingChromaticitiesPrediction, ...][source]#

Return the corresponding chromaticities prediction for CMCCAT2000 chromatic adaptation model.

Parameters:

experiment (Union[Literal[1, 2, 3, 4, 6, 8, 9, 11, 12], ~colour.corresponding.prediction.CorrespondingColourDataset]) – Breneman (1987) experiment number or colour.CorrespondingColourDataset class instance.

Returns:

Corresponding chromaticities prediction.

Return type:

tuple

References

[Bre87], [LLRH02], [WRC12d]

Examples

>>> from pprint import pprint
>>> pr = corresponding_chromaticities_prediction_CMCCAT2000(2)
>>> pr = [(p.uv_m, p.uv_p) for p in pr]
>>> pprint(pr)  
[(array([ 0.207,  0.486]), array([ 0.2083210...,  0.4727168...])),
 (array([ 0.449,  0.511]), array([ 0.4459270...,  0.5077735...])),
 (array([ 0.263,  0.505]), array([ 0.2640262...,  0.4955361...])),
 (array([ 0.322,  0.545]), array([ 0.3316884...,  0.5431580...])),
 (array([ 0.316,  0.537]), array([ 0.3222624...,  0.5357624...])),
 (array([ 0.265,  0.553]), array([ 0.2710705...,  0.5501997...])),
 (array([ 0.221,  0.538]), array([ 0.2261826...,  0.5294740...])),
 (array([ 0.135,  0.532]), array([ 0.1439693...,  0.5190984...])),
 (array([ 0.145,  0.472]), array([ 0.1494835...,  0.4556760...])),
 (array([ 0.163,  0.331]), array([ 0.1563172...,  0.3164151...])),
 (array([ 0.176,  0.431]), array([ 0.1763199...,  0.4127589...])),
 (array([ 0.244,  0.349]), array([ 0.2287638...,  0.3499324...]))]