colour.plotting.plot_visible_spectrum_section

colour.plotting.plot_visible_spectrum_section(cmfs: Union[colour.colorimetry.spectrum.MultiSpectralDistributions, str, Sequence[Union[colour.colorimetry.spectrum.MultiSpectralDistributions, str]]] = 'CIE 1931 2 Degree Standard Observer', illuminant: Union[colour.colorimetry.spectrum.SpectralDistribution, str] = 'D65', model: Union[Literal['CAM02LCD', 'CAM02SCD', 'CAM02UCS', 'CAM16LCD', 'CAM16SCD', 'CAM16UCS', 'CIE XYZ', 'CIE xyY', 'CIE Lab', 'CIE Luv', 'CIE UCS', 'CIE UVW', 'DIN99', 'Hunter Lab', 'Hunter Rdab', 'ICaCb', 'ICtCp', 'IPT', 'IgPgTg', 'Jzazbz', 'OSA UCS', 'Oklab', 'hdr-CIELAB', 'hdr-IPT'], str] = 'CIE xyY', axis: Union[Literal['+z', '+x', '+y'], str] = '+z', origin: float = 0.5, normalise: bool = True, show_section_colours: bool = True, show_section_contour: bool = True, **kwargs: Any) Tuple[matplotlib.figure.Figure, matplotlib.axes._axes.Axes][source]

Plot the visible spectrum volume, i.e. Rösch-MacAdam colour solid, section colours along given axis and origin.

Parameters
Returns

Current figure and axes.

Return type

tuple

Examples

>>> from colour.utilities import is_trimesh_installed
>>> if is_trimesh_installed:
...     plot_visible_spectrum_section(
...         section_colours='RGB', section_opacity=0.15)
...     
(<Figure size ... with 1 Axes>, <...AxesSubplot...>)
plot_visible_spectrum_section