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[Figure, Axes] [source]#
Plot the Chromaticity Diagram colours according to given method.
- Parameters:
samples (int) – Sample 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 thecolour.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:
Examples
>>> plot_chromaticity_diagram_colours(diagram_colours="RGB") ... (<Figure size ... with 1 Axes>, <...Axes...>)