colour.plotting.plot_multi_sds

colour.plotting.plot_multi_sds(sds, plot_kwargs=None, **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 of colour.MultiSpectralDistributions class instances or a list of colour.SpectralDistribution class instances.

  • plot_kwargs (dict or array_like, optional) –

    Keyword arguments for the plt.plot() definition, used to control the style of the plotted spectral distributions. plot_kwargs can be either a single dictionary applied to all the plotted spectral distributions with same settings or a sequence of dictionaries with different settings for each plotted spectral distributions. The following special keyword arguments can also be used:

    • illuminant : unicode or colour.SpectralDistribution, the illuminant used to compute the spectral distributions colours. The default is the illuminant associated with the whitepoint of the default plotting colourspace. illuminant can be of any type or form supported by the colour.plotting.filter_cmfs() definition.

    • cmfs : unicode, the standard observer colour matching functions used for computing the spectral distributions colours. cmfs can be of any type or form supported by the colour.plotting.filter_cmfs() definition.

    • normalise_sd_colours : bool, whether to normalise the computed spectral distributions colours. The default is True.

    • use_sd_colours : bool, whether to use the computed spectral distributions colours under the plotting colourspace illuminant. Alternatively, it is possible to use the plt.plot() definition color argument with pre-computed values. The default is True.

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

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
... }
>>> sd_1 = SpectralDistribution(data_1, name='Custom 1')
>>> sd_2 = SpectralDistribution(data_2, name='Custom 2')
>>> plot_kwargs = [
...     {'use_sd_colours': True},
...     {'use_sd_colours': True, 'linestyle': 'dashed'},
... ]
>>> plot_multi_sds([sd_1, sd_2], plot_kwargs=plot_kwargs)
... 
(<Figure size ... with 1 Axes>, <...AxesSubplot...>)
plot_multi_sds