colour.plotting.plot_multi_sds_colour_rendering_indexes_bars#
- colour.plotting.plot_multi_sds_colour_rendering_indexes_bars(sds: collections.abc.Sequence[colour.colorimetry.spectrum.SpectralDistribution | colour.colorimetry.spectrum.MultiSpectralDistributions] | colour.colorimetry.spectrum.SpectralDistribution | colour.colorimetry.spectrum.MultiSpectralDistributions, **kwargs: Any) Tuple[matplotlib.figure.Figure, matplotlib.axes._axes.Axes] [source]#
Plot the Colour Rendering Index (CRI) of given illuminants or light sources spectral distributions.
- Parameters
sds (collections.abc.Sequence[colour.colorimetry.spectrum.SpectralDistribution | colour.colorimetry.spectrum.MultiSpectralDistributions] | colour.colorimetry.spectrum.SpectralDistribution | colour.colorimetry.spectrum.MultiSpectralDistributions) – Spectral distributions or multi-spectral distributions to plot. sds can be a single
colour.MultiSpectralDistributions
class instance, a list ofcolour.MultiSpectralDistributions
class instances or a List ofcolour.SpectralDistribution
class instances.kwargs (Any) – {
colour.plotting.artist()
,colour.plotting.quality.plot_colour_quality_bars()
,colour.plotting.render()
}, See the documentation of the previously listed definitions.
- Returns
Current figure and axes.
- Return type
Examples
>>> from colour import SDS_ILLUMINANTS, SDS_LIGHT_SOURCES >>> illuminant = SDS_ILLUMINANTS["FL2"] >>> light_source = SDS_LIGHT_SOURCES["Kinoton 75P"] >>> plot_multi_sds_colour_rendering_indexes_bars( ... [illuminant, light_source] ... ) (<Figure size ... with 1 Axes>, <...Axes...>)