colour.plotting.plot_visible_spectrum_section#

colour.plotting.plot_visible_spectrum_section(cmfs: MultiSpectralDistributions | str | Sequence[MultiSpectralDistributions | str] = 'CIE 1931 2 Degree Standard Observer', illuminant: SpectralDistribution | str = 'D65', model: Literal['CAM02LCD', 'CAM02SCD', 'CAM02UCS', 'CAM16LCD', 'CAM16SCD', 'CAM16UCS', 'CIE 1931', 'CIE 1960 UCS', 'CIE 1976 UCS', 'CIE Lab', 'CIE Luv', 'CIE UCS', 'CIE UVW', 'CIE XYZ', 'CIE xyY', 'DIN99', 'HCL', 'HSL', 'HSV', 'Hunter Lab', 'Hunter Rdab', 'ICaCb', 'ICtCp', 'IHLS', 'IPT', 'IPT Ragoo 2021', 'IgPgTg', 'Jzazbz', 'OSA UCS', 'Oklab', 'RGB', 'YCbCr', 'YCoCg', 'Yrg', 'hdr-CIELAB', 'hdr-IPT'] | str = 'CIE xyY', axis: 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[Figure, 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>, <...Axes...>)
plot_visible_spectrum_section