colour.RGB_colourspace_pointer_gamut_coverage_MonteCarlo#
- colour.RGB_colourspace_pointer_gamut_coverage_MonteCarlo(colourspace: RGB_Colourspace, samples: int = 1000000, random_generator: Callable = random_triplet_generator, random_state: RandomState | None = None) float [source]#
Return given RGB colourspace percentage coverage of Pointer’s Gamut volume using Monte Carlo method.
- Parameters:
colourspace (RGB_Colourspace) – RGB colourspace to compute the Pointer’s Gamut coverage percentage.
samples (int) – Sample count.
random_generator (Callable) – Random triplet generator providing the random samples.
random_state (RandomState | None) – Mersenne Twister pseudo-random number generator to use in the random number generator.
- Returns:
Percentage coverage of Pointer’s Gamut volume.
- Return type:
Examples
>>> from colour.models import RGB_COLOURSPACE_sRGB as sRGB >>> prng = np.random.RandomState(2) >>> RGB_colourspace_pointer_gamut_coverage_MonteCarlo( ... sRGB, 10e3, random_state=prng ... ) 81...