colour.corresponding_chromaticities_prediction#

colour.corresponding_chromaticities_prediction(experiment: Union[Literal[1, 2, 3, 4, 6, 8, 9, 11, 12], colour.corresponding.prediction.CorrespondingColourDataset] = 1, model: Union[Literal['CIE 1994', 'CMCCAT2000', 'Fairchild 1990', 'Von Kries', 'Zhai 2018'], str] = 'Von Kries', **kwargs: Any) Tuple[colour.corresponding.prediction.CorrespondingChromaticitiesPrediction, ...][source]#

Return the corresponding chromaticities prediction for given 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.

  • model (Union[Literal['CIE 1994', 'CMCCAT2000', 'Fairchild 1990', 'Von Kries', 'Zhai 2018'], str]) – Chromatic adaptation model.

  • D_b – {colour.corresponding.corresponding_chromaticities_prediction_Zhai2018()}, Degree of adaptation \(D_{\beta}\) of input illuminant \(\beta\).

  • D_d – {colour.corresponding.corresponding_chromaticities_prediction_Zhai2018()}, Degree of adaptation \(D_{\delta}\) of output illuminant \(\delta\).

  • transform – {colour.corresponding.corresponding_chromaticities_prediction_VonKries(), colour.corresponding.corresponding_chromaticities_prediction_Zhai2018()}, Chromatic adaptation transform.

  • XYZ_wo – {colour.corresponding.corresponding_chromaticities_prediction_Zhai2018()}, Baseline illuminant (\(BI\)) \(o\).

  • kwargs (Any) –

Returns

Corresponding chromaticities prediction.

Return type

tuple

References

[Bre87], [CIET13294], [Fai91], [Fai13f], [Fai13a], [LLRH02], [WRC12d], [ZL18]

Examples

>>> from pprint import pprint
>>> pr = corresponding_chromaticities_prediction(2, 'CMCCAT2000')
>>> pr = [(p.uv_m, p.uv_p) for p in pr]
>>> pprint(pr)  
[((0.207, 0.486), (0.2083210..., 0.4727168...)),
 ((0.449, 0.511), (0.4459270..., 0.5077735...)),
 ((0.263, 0.505), (0.2640262..., 0.4955361...)),
 ((0.322, 0.545), (0.3316884..., 0.5431580...)),
 ((0.316, 0.537), (0.3222624..., 0.5357624...)),
 ((0.265, 0.553), (0.2710705..., 0.5501997...)),
 ((0.221, 0.538), (0.2261826..., 0.5294740...)),
 ((0.135, 0.532), (0.1439693..., 0.5190984...)),
 ((0.145, 0.472), (0.1494835..., 0.4556760...)),
 ((0.163, 0.331), (0.1563172..., 0.3164151...)),
 ((0.176, 0.431), (0.1763199..., 0.4127589...)),
 ((0.244, 0.349), (0.2287638..., 0.3499324...))]