colour.plotting.plot_corresponding_chromaticities_prediction¶

colour.plotting.plot_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', corresponding_chromaticities_prediction_kwargs: Optional[Dict] = None, **kwargs: Any) → Tuple[matplotlib.figure.Figure, matplotlib.axes._axes.Axes][source]¶

Plot given chromatic adaptation model corresponding chromaticities prediction.

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]) – Corresponding chromaticities prediction model name.
corresponding_chromaticities_prediction_kwargs (Optional[Dict]) – 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>, <...AxesSubplot...>)

colour.plotting.plot_multi_colour_checkers

colour.plotting.plot_chromaticity_diagram_CIE1931