colour.corresponding.corresponding_chromaticities_prediction_VonKries#
- colour.corresponding.corresponding_chromaticities_prediction_VonKries(experiment: Literal[1, 2, 3, 4, 6, 8, 9, 11, 12] | CorrespondingColourDataset = 1, transform: LiteralChromaticAdaptationTransform | str = 'CAT02') Tuple[CorrespondingChromaticitiesPrediction, ...] [source]#
Return the corresponding chromaticities prediction for Von Kries chromatic adaptation model using given transform.
- Parameters:
experiment (Literal[1, 2, 3, 4, 6, 8, 9, 11, 12] | CorrespondingColourDataset) – Breneman (1987) experiment number or
colour.CorrespondingColourDataset
class instance.transform (LiteralChromaticAdaptationTransform | str) – Chromatic adaptation transform.
- Returns:
Corresponding chromaticities prediction.
- Return type:
References
Examples
>>> from pprint import pprint >>> pr = corresponding_chromaticities_prediction_VonKries(2, "Bradford") >>> pr = [(p.uv_m, p.uv_p) for p in pr] >>> pprint(pr) [(array([ 0.207, 0.486]), array([ 0.2082014..., 0.4722922...])), (array([ 0.449, 0.511]), array([ 0.4489102..., 0.5071602...])), (array([ 0.263, 0.505]), array([ 0.2643545..., 0.4959631...])), (array([ 0.322, 0.545]), array([ 0.3348730..., 0.5471220...])), (array([ 0.316, 0.537]), array([ 0.3248758..., 0.5390589...])), (array([ 0.265, 0.553]), array([ 0.2733105..., 0.5555028...])), (array([ 0.221, 0.538]), array([ 0.227148 ..., 0.5331318...)), (array([ 0.135, 0.532]), array([ 0.1442730..., 0.5226804...])), (array([ 0.145, 0.472]), array([ 0.1498745..., 0.4550785...])), (array([ 0.163, 0.331]), array([ 0.1564975..., 0.3148796...])), (array([ 0.176, 0.431]), array([ 0.1760593..., 0.4103772...])), (array([ 0.244, 0.349]), array([ 0.2259805..., 0.3465291...]))]