colour.plotting.diagrams.plot_chromaticity_diagram_colours#

colour.plotting.diagrams.plot_chromaticity_diagram_colours(samples: int = 256, diagram_colours: ArrayLike | str | None = None, diagram_opacity: float = 1, diagram_clipping_path: ArrayLike | None = None, cmfs: MultiSpectralDistributions | str | Sequence[MultiSpectralDistributions | str] = 'CIE 1931 2 Degree Standard Observer', method: Literal['CIE 1931', 'CIE 1960 UCS', 'CIE 1976 UCS'] | str = 'CIE 1931', **kwargs: Any) → Tuple[plt.Figure, plt.Axes][source]#

Plot the Chromaticity Diagram colours according to given method.

Parameters:

  • samples (int) – Samples count on one axis when computing the Chromaticity Diagram colours.

  • diagram_colours (ArrayLike | str | None) – Colours of the Chromaticity Diagram, if diagram_colours is set to RGB, the colours will be computed according to the corresponding coordinates.

  • diagram_opacity (float) – Opacity of the Chromaticity Diagram.

  • diagram_clipping_path (ArrayLike | None) – Path of points used to clip the Chromaticity Diagram colours.

  • cmfs (MultiSpectralDistributions | str | Sequence[MultiSpectralDistributions | str]) – Standard observer colour matching functions used for computing the spectral locus boundaries. cmfs can be of any type or form supported by the colour.plotting.common.filter_cmfs() definition.

  • method (Literal['CIE 1931', 'CIE 1960 UCS', 'CIE 1976 UCS'] | str) – Chromaticity Diagram method.

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

Returns:

Current figure and axes.

Return type:

tuple

Examples

>>> plot_chromaticity_diagram_colours(diagram_colours="RGB")
... 
(<Figure size ... with 1 Axes>, <...Axes...>)
plot_chromaticity_diagram_colours