colour.corresponding.corresponding_chromaticities_prediction_CIE1994#
- colour.corresponding.corresponding_chromaticities_prediction_CIE1994(experiment: Literal[1, 2, 3, 4, 6, 8, 9, 11, 12] | CorrespondingColourDataset = 1) Tuple[CorrespondingChromaticitiesPrediction, ...] [source]#
Return the corresponding chromaticities prediction for CIE 1994 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_CIE1994(2) >>> pr = [(p.uv_m, p.uv_p) for p in pr] >>> pprint(pr) [(array([ 0.207, 0.486]), array([ 0.2273130..., 0.5267609...])), (array([ 0.449, 0.511]), array([ 0.4612181..., 0.5191849...])), (array([ 0.263, 0.505]), array([ 0.2872404..., 0.5306938...])), (array([ 0.322, 0.545]), array([ 0.3489822..., 0.5454398...])), (array([ 0.316, 0.537]), array([ 0.3371612..., 0.5421567...])), (array([ 0.265, 0.553]), array([ 0.2889416..., 0.5534074...])), (array([ 0.221, 0.538]), array([ 0.2412195..., 0.5464301...])), (array([ 0.135, 0.532]), array([ 0.1530344..., 0.5488239...])), (array([ 0.145, 0.472]), array([ 0.1568709..., 0.5258835...])), (array([ 0.163, 0.331]), array([ 0.1499762..., 0.4401747...])), (array([ 0.176, 0.431]), array([ 0.1876711..., 0.5039627...])), (array([ 0.244, 0.349]), array([ 0.2560012..., 0.4546263...]))]