colour.plotting.plot_multi_sds_colour_quality_scales_bars#

colour.plotting.plot_multi_sds_colour_quality_scales_bars(sds: collections.abc.Sequence[colour.colorimetry.spectrum.SpectralDistribution | colour.colorimetry.spectrum.MultiSpectralDistributions] | colour.colorimetry.spectrum.SpectralDistribution | colour.colorimetry.spectrum.MultiSpectralDistributions, method: Union[Literal['NIST CQS 7.4', 'NIST CQS 9.0'], str] = 'NIST CQS 9.0', **kwargs: Any) → Tuple[matplotlib.figure.Figure, matplotlib.axes._axes.Axes][source]#

Plot the Colour Quality Scale (CQS) 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 of colour.MultiSpectralDistributions class instances or a List of colour.SpectralDistribution class instances.
method (Union[Literal['NIST CQS 7.4', 'NIST CQS 9.0'], str]) – Colour Quality Scale (CQS) computation method.
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

tuple

Examples

>>> from colour import SDS_ILLUMINANTS, SDS_LIGHT_SOURCES
>>> illuminant = SDS_ILLUMINANTS["FL2"]
>>> light_source = SDS_LIGHT_SOURCES["Kinoton 75P"]
>>> plot_multi_sds_colour_quality_scales_bars([illuminant, light_source])
... 
(<Figure size ... with 1 Axes>, <...Axes...>)

plot_multi_sds_colour_quality_scales_bars