colour.corresponding.corresponding_chromaticities_prediction_CMCCAT2000#
- colour.corresponding.corresponding_chromaticities_prediction_CMCCAT2000(experiment: 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 (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:
References
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...]))]