colour.plotting.plot_corresponding_chromaticities_prediction

colour.plotting.plot_corresponding_chromaticities_prediction(experiment: Literal[1, 2, 3, 4, 6, 8, 9, 11, 12] | CorrespondingColourDataset = 1, model: Literal['CIE 1994', 'CMCCAT2000', 'Fairchild 1990', 'Von Kries', 'Zhai 2018'] | str = 'Von Kries', corresponding_chromaticities_prediction_kwargs: dict | None = None, **kwargs: Any) → Tuple[Figure, Axes]

Plot the corresponding chromaticities prediction for the specified chromatic adaptation model.

Parameters:

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

• model (Literal['CIE 1994', 'CMCCAT2000', 'Fairchild 1990', 'Von Kries', 'Zhai 2018'] | str) – Corresponding chromaticities prediction model name.

• corresponding_chromaticities_prediction_kwargs (dict | None) – Keyword arguments for the colour.corresponding_chromaticities_prediction() definition.

• kwargs (Any) – {colour.plotting.artist(), colour.plotting.diagrams.plot_chromaticity_diagram(), colour.plotting.render()}, See the documentation of the previously listed definitions.

Returns:

Current figure and axes.

Return type:

tuple

Examples

>>> plot_corresponding_chromaticities_prediction(1, "Von Kries")
...
(<Figure size ... with 1 Axes>, <...Axes...>)