colour.temperature.uv_to_CCT_Ohno2013¶
- colour.temperature.uv_to_CCT_Ohno2013(uv: ArrayLike, cmfs: Optional[colour.colorimetry.spectrum.MultiSpectralDistributions] = None, start: float = CCT_MINIMAL, end: float = CCT_MAXIMAL, count: int = CCT_SAMPLES, iterations: int = CCT_CALCULATION_ITERATIONS) numpy.ndarray [source]¶
Return 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 (ArrayLike) – CIE UCS colourspace uv chromaticity coordinates.
cmfs (Optional[colour.colorimetry.spectrum.MultiSpectralDistributions]) – Standard observer colour matching functions, default to the CIE 1931 2 Degree Standard Observer.
start (float) – Temperature range start in kelvin degrees.
end (float) – Temperature range end in kelvin degrees.
count (int) – Temperatures count in the planckian tables.
iterations (int) – Number of planckian tables to generate.
- Returns
Correlated colour temperature \(T_{cp}\), \(\Delta_{uv}\).
- Return type
References
[Ohn14]
Examples
>>> from pprint import pprint >>> from colour import MSDS_CMFS, SPECTRAL_SHAPE_DEFAULT >>> cmfs = ( ... MSDS_CMFS['CIE 1931 2 Degree Standard Observer']. ... copy().align(SPECTRAL_SHAPE_DEFAULT) ... ) >>> uv = np.array([0.1978, 0.3122]) >>> uv_to_CCT_Ohno2013(uv, cmfs) array([ 6.50747...e+03, 3.22334...e-03])