colour.colorimetry.adjust_tristimulus_weighting_factors_ASTME30815

colour.colorimetry.adjust_tristimulus_weighting_factors_ASTME30815(W, shape_r, shape_t)

Adjusts given table of tristimulus weighting factors to account for a shorter wavelengths range of the test spectral shape compared to the reference spectral shape using practise ASTM E308-15 method: Weights at the wavelengths for which data are not available are added to the weights at the shortest and longest wavelength for which spectral data are available.

Parameters:

• W (array_like) – Tristimulus weighting factors table.
• shape_r (SpectralShape) – Reference spectral shape.
• shape_t (SpectralShape) – Test spectral shape.

Returns:

Adjusted tristimulus weighting factors.

Return type:

ndarray

References

• [ASTMInternational15]

Examples

>>> from colour import (CMFS, CIE_standard_illuminant_A_function,
...     SpectralPowerDistribution, SpectralShape)
>>> from colour.utilities import numpy_print_options
>>> cmfs = CMFS['CIE 1964 10 Degree Standard Observer']
>>> wl = cmfs.shape.range()
>>> A = SpectralPowerDistribution(
...     dict(zip(wl, CIE_standard_illuminant_A_function(wl))),
...     name='A (360, 830, 1)')
>>> W = tristimulus_weighting_factors_ASTME202211(
...     cmfs, A, SpectralShape(360, 830, 20))
>>> with numpy_print_options(suppress=True):
...     adjust_tristimulus_weighting_factors_ASTME30815(
...         W,  SpectralShape(360, 830, 20), SpectralShape(400, 700, 20))
... 
array([[  0.0509543...,   0.0040971...,   0.2144280...],
       [  0.7734225...,   0.0779839...,   3.6965732...],
       [  1.9000905...,   0.3037005...,   9.7554195...],
       [  1.9707727...,   0.8552809...,  11.4867325...],
       [  0.7183623...,   2.1457000...,   6.7845806...],
       [  0.0426667...,   4.8985328...,   2.3208000...],
       [  1.5223302...,   9.6471138...,   0.7430671...],
       [  5.6770329...,  14.4609708...,   0.1958194...],
       [ 12.4451744...,  17.4742541...,   0.0051827...],
       [ 20.5535772...,  17.5838219...,  -0.0026512...],
       [ 25.3315384...,  14.8957035...,   0.       ...],
       [ 21.5711570...,  10.0796619...,   0.       ...],
       [ 12.1785817...,   5.0680655...,   0.       ...],
       [  4.6675746...,   1.8303239...,   0.       ...],
       [  1.3236117...,   0.5129694...,   0.       ...],
       [  0.4171109...,   0.1618194...,   0.       ...]])