colour.colorimetry.adjust_tristimulus_weighting_factors_ASTME308#

colour.colorimetry.adjust_tristimulus_weighting_factors_ASTME308(W: ArrayLike, shape_r: SpectralShape, shape_t: SpectralShape) → NDArrayFloat[source]#

Adjust the specified table of tristimulus weighting factors to account for a shorter wavelength range of the test spectral shape compared to the reference spectral shape using practice ASTM E308-15 method.

The adjustment redistributes weights at wavelengths for which data are not available by adding them to the weights at the shortest and longest wavelengths for which spectral data are available.

Parameters:
Returns:

Adjusted tristimulus weighting factors.

Return type:

numpy.ndarray

References

[ASTMInternational15a]

Examples

>>> from colour import (
...     MSDS_CMFS,
...     SpectralDistribution,
...     SpectralShape,
...     sd_CIE_standard_illuminant_A,
... )
>>> from colour.utilities import numpy_print_options
>>> cmfs = MSDS_CMFS["CIE 1964 10 Degree Standard Observer"]
>>> A = sd_CIE_standard_illuminant_A(cmfs.shape)
>>> W = tristimulus_weighting_factors_ASTME2022(
...     cmfs, A, SpectralShape(360, 830, 20)
... )
>>> with numpy_print_options(suppress=True):
...     adjust_tristimulus_weighting_factors_ASTME308(
...         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.       ...]])