colour.plotting.diagrams.plot_chromaticity_diagram#
- colour.plotting.diagrams.plot_chromaticity_diagram(cmfs: colour.colorimetry.spectrum.MultiSpectralDistributions | str | collections.abc.Sequence[colour.colorimetry.spectrum.MultiSpectralDistributions | str] = 'CIE 1931 2 Degree Standard Observer', show_diagram_colours: bool = True, show_spectral_locus: bool = True, method: Union[Literal['CIE 1931', 'CIE 1960 UCS', 'CIE 1976 UCS'], str] = 'CIE 1931', **kwargs: Any) Tuple[matplotlib.figure.Figure, matplotlib.axes._axes.Axes] [source]#
Plot the Chromaticity Diagram according to given method.
- Parameters
cmfs (colour.colorimetry.spectrum.MultiSpectralDistributions | str | collections.abc.Sequence[colour.colorimetry.spectrum.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.show_diagram_colours (bool) – Whether to display the Chromaticity Diagram background colours.
show_spectral_locus (bool) – Whether to display the Spectral Locus.
method (Union[Literal['CIE 1931', 'CIE 1960 UCS', 'CIE 1976 UCS'], str]) – Chromaticity Diagram method.
kwargs (Any) – {
colour.plotting.artist()
,colour.plotting.diagrams.plot_spectral_locus()
,colour.plotting.diagrams.plot_chromaticity_diagram_colours()
,colour.plotting.render()
}, See the documentation of the previously listed definitions.
- Returns
Current figure and axes.
- Return type
Examples
>>> plot_chromaticity_diagram() (<Figure size ... with 1 Axes>, <...Axes...>)