colour.temperature.uv_to_CCT_Ohno2013¶
- colour.temperature.uv_to_CCT_Ohno2013(uv, cmfs=XYZ_ColourMatchingFunctions(name='CIE 1931 2 Degree Standard Observer', ...), start=1000, end=100000, count=10, iterations=6)[source]¶
Returns the correlated colour temperature \(T_{cp}\) and \(\Delta_{uv}\) from given CIE UCS colourspace uv chromaticity coordinates, colour matching functions and temperature range using Ohno (2013) method.
The iterations parameter defines the calculations precision: The higher its value, the more planckian tables will be generated through cascade expansion in order to converge to the exact solution.
- Parameters
uv (array_like) – CIE UCS colourspace uv chromaticity coordinates.
cmfs (XYZ_ColourMatchingFunctions, optional) – Standard observer colour matching functions.
start (numeric, optional) – Temperature range start in kelvins.
end (numeric, optional) – Temperature range end in kelvins.
count (int, optional) – Temperatures count in the planckian tables.
iterations (int, optional) – Number of planckian tables to generate.
- Returns
Correlated colour temperature \(T_{cp}\), \(\Delta_{uv}\).
- Return type
ndarray
References
[]
Examples
>>> from colour.colorimetry import ( ... SPECTRAL_SHAPE_DEFAULT, MSDS_CMFS_STANDARD_OBSERVER) >>> cmfs = ( ... MSDS_CMFS_STANDARD_OBSERVER['CIE 1931 2 Degree Standard Observer']. ... copy().align(SPECTRAL_SHAPE_DEFAULT) ... ) >>> uv = np.array([0.1978, 0.3122]) >>> # Doctests skipping for Python 2.x compatibility. >>> uv_to_CCT_Ohno2013(uv, cmfs) array([ 6.5074738...e+03, 3.2233460...e-03])