colour.RGB_colourspace_visible_spectrum_coverage_MonteCarlo¶
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colour.
RGB_colourspace_visible_spectrum_coverage_MonteCarlo
(colourspace, samples=10000000.0, random_generator=<function random_triplet_generator>, random_state=None)[source]¶ Returns given RGB colourspace percentage coverage of visible spectrum volume using Monte Carlo method.
Parameters: - colourspace (RGB_Colourspace) – RGB colourspace to compute the visible spectrum coverage percentage.
- samples (numeric, optional) – Samples count.
- random_generator (generator, optional) – Random triplet generator providing the random samples.
- random_state (RandomState, optional) – Mersenne Twister pseudo-random number generator to use in the random number generator.
Returns: Percentage coverage of visible spectrum volume.
Return type: Examples
>>> from colour import sRGB_COLOURSPACE as sRGB >>> prng = np.random.RandomState(2) >>> RGB_colourspace_visible_spectrum_coverage_MonteCarlo( ... sRGB, 10e3, random_state=prng) # doctest: +ELLIPSIS 47...