colour.colorimetry.sd_gaussian_normal#

colour.colorimetry.sd_gaussian_normal(mu: float, sigma: float, shape: SpectralShape = SPECTRAL_SHAPE_DEFAULT, **kwargs: Any) → SpectralDistribution[source]#

Generate a Gaussian spectral distribution of the specified spectral shape at specified mean wavelength \(\mu\) and standard deviation \(\sigma\).

Parameters:

mu (float) – Mean wavelength \(\mu\) at which the Gaussian spectral distribution will peak.
sigma (float) – Standard deviation \(\sigma\) of the Gaussian spectral distribution.
shape (SpectralShape) – Spectral shape used to create the spectral distribution.
kwargs (Any) – {colour.SpectralDistribution}, See the documentation of the previously listed class.

Returns:

Gaussian spectral distribution.

Return type:

colour.SpectralDistribution

Notes

By default, the spectral distribution will use the shape specified by colour.SPECTRAL_SHAPE_DEFAULT attribute.

Examples

>>> sd = sd_gaussian_normal(555, 25)
>>> sd.shape
SpectralShape(360.0, 780.0, 1.0)
>>> sd[555]
1.0
>>> sd[530]
0.6065306...