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.
- Parameters
sds (array_like or 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.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.
- Other Parameters
**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
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 ... } >>> sd_1 = SpectralDistribution(data_1, name='Custom 1') >>> sd_2 = SpectralDistribution(data_2, name='Custom 2') >>> plot_multi_sds([sd_1, sd_2]) (<Figure size ... with 1 Axes>, <matplotlib.axes._subplots.AxesSubplot object at 0x...>)