colour.plotting.plot_multi_sds¶

colour.plotting.plot_multi_sds(sds, cmfs='CIE 1931 2 Degree Standard Observer', use_sds_colours=False, normalise_sds_colours=False, **kwargs)[source]¶

Plots given spectral distributions.

Other Parameters:
Parameters:	sds (array_like or MultiSpectralDistribution) – Spectral distributions or multi-spectral distributions to plot. sds can be a single `colour.MultiSpectralDistribution` class instance, a list of `colour.MultiSpectralDistribution` class instances or a list of `colour.SpectralDistribution` class instances. cmfs (unicode, optional) – Standard observer colour matching functions used for spectrum creation. use_sds_colours (bool, optional) – Whether to use spectral distributions colours. normalise_sds_colours (bool) – Whether to normalise spectral distributions colours.
	*kwargs (dict, optional*) – {`colour.plotting.artist()`, `colour.plotting.render()`}, Please refer to the documentation of the previously listed definitions.
Returns:	Current figure and axes.
Return type:	tuple

Examples

>>> from colour import SpectralDistribution
>>> data_1 = {
...     500: 0.004900,
...     510: 0.009300,
...     520: 0.063270,
...     530: 0.165500,
...     540: 0.290400,
...     550: 0.433450,
...     560: 0.594500
... }
>>> data_2 = {
...     500: 0.323000,
...     510: 0.503000,
...     520: 0.710000,
...     530: 0.862000,
...     540: 0.954000,
...     550: 0.994950,
...     560: 0.995000
... }
>>> spd1 = SpectralDistribution(data_1, name='Custom 1')
>>> spd2 = SpectralDistribution(data_2, name='Custom 2')
>>> plot_multi_sds([spd1, spd2])  # doctest: +SKIP