colorsynth

Functions

XYZ_from_xyY_cie(xyY[, axis])	Convert from a CIE \(xyY\) color space to a \(XYZ\) color space
XYZ_normalized(XYZ[, axis])	Normalize the luminance of a vector in the CIE 1931 \(XYZ\) color space.
XYZcie1931_from_spd(spd, wavelength[, axis])	Calculate the CIE 1931 tristimulus values, \(XYZ\), for the given spectral power distribution.
color_matching_x(wavelength)	The CIE 1931 \(\overline{x}(\lambda)\) color matching function.
color_matching_xyz(wavelength[, axis])	The CIE 1931 \(\overline{x}(\lambda)\), \(\overline{y}(\lambda)\), and \(\overline{z}(\lambda)\) color matching functions.
color_matching_y(wavelength)	The CIE 1931 \(\overline{y}(\lambda)\) color matching function.
color_matching_z(wavelength)	The CIE 1931 \(\overline{z}(\lambda)\) color matching function.
colorbar(spd[, wavelength, axis, ...])	Calculate the colorbar corresponding to calling rgb() with these same arguments.
d65_standard_illuminant(wavelength)	Spectral power distribution (SPD) of the CIE standard illuminant D65, which corresponds to average midday light in Western/Northern Europe.
rgb(spd[, wavelength, axis, spd_min, ...])	Convert a given spectral power distribution into a RGB array that can be plotted with matplotlib.
rgb_and_colorbar(spd, wavelength[, axis, ...])	Convenience function that calls rgb() and colorbar() and returns the results as a tuple.
sRGB(XYZ[, axis])	Convert CIE 1931 tristimulus values, calculated using XYZcie1931_from_spd(), into the sRGB color space, the standard color space used on computer monitors.
xyY_from_XYZ_cie(XYZ[, axis])	Convert from a CIE \(XYZ\) color space to a \(xyY\) color space