colour.uv_to_CCT¶
- colour.uv_to_CCT(uv, method='Ohno 2013', **kwargs)[source]¶
Returns the correlated colour temperature \(T_{cp}\) and \(\Delta_{uv}\) from given CIE UCS colourspace uv chromaticity coordinates using given method.
- Parameters
uv (array_like) – CIE UCS colourspace uv chromaticity coordinates.
method (unicode, optional) – {‘Ohno 2013’, ‘Krystek 1985, ‘Robertson 1968’}, Computation method.
cmfs (XYZ_ColourMatchingFunctions, optional) – {
colour.temperature.uv_to_CCT_Ohno2013()}, Standard observer colour matching functions.start (numeric, optional) – {
colour.temperature.uv_to_CCT_Ohno2013()}, Temperature range start in kelvins.end (numeric, optional) – {
colour.temperature.uv_to_CCT_Ohno2013()}, Temperature range end in kelvins.count (int, optional) – {
colour.temperature.uv_to_CCT_Ohno2013()}, Temperatures count in the planckian tables.iterations (int, optional) – {
colour.temperature.uv_to_CCT_Ohno2013()}, Number of planckian tables to generate.optimisation_kwargs (dict_like, optional) – {
colour.temperature.uv_to_CCT_Krystek1985()}, Parameters forscipy.optimize.minimize()definition.
- Returns
Correlated colour temperature \(T_{cp}\), \(\Delta_{uv}\).
- Return type
ndarray
References
[], [], [], [], []
Examples
>>> import numpy as np >>> uv = np.array([0.1978, 0.3122]) >>> # Doctests skipping for Python 2.x compatibility. >>> uv_to_CCT(uv) array([ 6.5074738...e+03, 3.2233460...e-03])