def test_spectral_to_XYZ(self): """ Tests :func:`colour.colorimetry.tristimulus.spectral_to_XYZ` definition. """ cmfs = CMFS.get('CIE 1931 2 Degree Standard Observer') np.testing.assert_almost_equal( spectral_to_XYZ( RELATIVE_SPD_DATA.zeros(cmfs.shape), cmfs, ILLUMINANTS_RELATIVE_SPDS.get('A').clone().zeros(cmfs.shape)), np.array([14.46371626, 10.85832347, 2.04664796]), decimal=7) cmfs = CMFS.get('CIE 1964 10 Degree Standard Observer') np.testing.assert_almost_equal( spectral_to_XYZ( RELATIVE_SPD_DATA.zeros(cmfs.shape), cmfs, ILLUMINANTS_RELATIVE_SPDS.get('C').clone().zeros(cmfs.shape)), np.array([10.7704252, 9.44870313, 6.62742289]), decimal=7) np.testing.assert_almost_equal( spectral_to_XYZ( RELATIVE_SPD_DATA.zeros(cmfs.shape), cmfs, ILLUMINANTS_RELATIVE_SPDS.get('F2').clone().zeros(cmfs.shape)), np.array([11.57830745, 9.98744967, 3.95396539]), decimal=7)
def test_spectral_to_XYZ_integration(self): """ Tests :func:`colour.colorimetry.tristimulus.\ spectral_to_XYZ_integration` definition. """ cmfs = CMFS.get('CIE 1931 2 Degree Standard Observer') np.testing.assert_almost_equal( spectral_to_XYZ_integration( SAMPLE_SPD, cmfs, ILLUMINANTS_RELATIVE_SPDS.get('A')), np.array([14.46365624, 10.85827910, 2.04662343]), decimal=7) cmfs = CMFS.get('CIE 1964 10 Degree Standard Observer') np.testing.assert_almost_equal( spectral_to_XYZ_integration( SAMPLE_SPD, cmfs, ILLUMINANTS_RELATIVE_SPDS.get('C')), np.array([10.77031004, 9.44863775, 6.62745989]), decimal=7) np.testing.assert_almost_equal( spectral_to_XYZ_integration( SAMPLE_SPD, cmfs, ILLUMINANTS_RELATIVE_SPDS.get('F2')), np.array([11.57834054, 9.98738373, 3.95462625]), decimal=7)
def test_spectral_to_XYZ(self): """ Tests :func:`colour.colorimetry.tristimulus.spectral_to_XYZ` definition. """ cmfs = CMFS.get('CIE 1931 2 Degree Standard Observer') np.testing.assert_almost_equal( spectral_to_XYZ( RELATIVE_SPD_DATA.zeros(cmfs.shape), cmfs, ILLUMINANTS_RELATIVE_SPDS.get('A').clone().zeros(cmfs.shape)), np.array([14.46371626, 10.85832347, 2.04664796]), decimal=7) cmfs = CMFS.get('CIE 1964 10 Degree Standard Observer') np.testing.assert_almost_equal( spectral_to_XYZ( RELATIVE_SPD_DATA.zeros(cmfs.shape), cmfs, ILLUMINANTS_RELATIVE_SPDS.get('C').clone().zeros(cmfs.shape)), np.array([10.7704252, 9.44870313, 6.62742289]), decimal=7) np.testing.assert_almost_equal( spectral_to_XYZ( RELATIVE_SPD_DATA.zeros(cmfs.shape), cmfs, ILLUMINANTS_RELATIVE_SPDS.get('F2').clone().zeros(cmfs.shape)), np.array([11.57830745, 9.98744967, 3.95396539]), decimal=7)
def test_wavelength_to_XYZ(self): """ Tests :func:`colour.colorimetry.tristimulus.wavelength_to_XYZ` definition. """ np.testing.assert_almost_equal( wavelength_to_XYZ( 480, CMFS.get('CIE 1931 2 Degree Standard Observer')), np.array([0.09564, 0.13902, 0.81295]), decimal=7) np.testing.assert_almost_equal( wavelength_to_XYZ( 480, CMFS.get('CIE 2012 2 Degree Standard Observer')), np.array([0.08182895, 0.1788048, 0.7552379]), decimal=7) np.testing.assert_almost_equal( wavelength_to_XYZ( 641.5, CMFS.get('CIE 2012 2 Degree Standard Observer')), np.array([0.44575583, 0.18184213, 0.]), decimal=7)
def test_spectral_to_XYZ_tristimulus_weighting_factors_ASTME30815(self): """ Tests :func:`colour.colorimetry.tristimulus.\ spectral_to_XYZ_tristimulus_weighting_factors_ASTME30815` definition. """ cmfs = CMFS.get('CIE 1931 2 Degree Standard Observer') np.testing.assert_almost_equal( spectral_to_XYZ_tristimulus_weighting_factors_ASTME30815( SAMPLE_SPD, cmfs, ILLUMINANTS_RELATIVE_SPDS.get('A')), np.array([14.46366344, 10.85828513, 2.04663792]), decimal=7) cmfs = CMFS.get('CIE 1964 10 Degree Standard Observer') np.testing.assert_almost_equal( spectral_to_XYZ_tristimulus_weighting_factors_ASTME30815( SAMPLE_SPD, cmfs, ILLUMINANTS_RELATIVE_SPDS.get('C')), np.array([10.77033881, 9.44864632, 6.62758924]), decimal=7) np.testing.assert_almost_equal( spectral_to_XYZ_tristimulus_weighting_factors_ASTME30815( SAMPLE_SPD, cmfs, ILLUMINANTS_RELATIVE_SPDS.get('F2')), np.array([11.57837130, 9.98734511, 3.95499522]), decimal=7) np.testing.assert_almost_equal( spectral_to_XYZ_tristimulus_weighting_factors_ASTME30815( SAMPLE_SPD.clone().trim_wavelengths( SpectralShape(400, 700, 5)), cmfs, ILLUMINANTS_RELATIVE_SPDS.get('A')), np.array([14.38180830, 10.74512906, 2.01579131]), decimal=7) np.testing.assert_almost_equal( spectral_to_XYZ_tristimulus_weighting_factors_ASTME30815( SAMPLE_SPD.clone().interpolate( SpectralShape(400, 700, 10)), cmfs, ILLUMINANTS_RELATIVE_SPDS.get('A')), np.array([14.38284399, 10.74577954, 2.01553721]), decimal=7) np.testing.assert_almost_equal( spectral_to_XYZ_tristimulus_weighting_factors_ASTME30815( SAMPLE_SPD.clone().interpolate( SpectralShape(400, 700, 20)), cmfs, ILLUMINANTS_RELATIVE_SPDS.get('A')), np.array([14.38356848, 10.74613294, 2.01526418]), decimal=7)
def get_cmfs(cmfs): """ Returns the colour matching functions with given name. Parameters ---------- cmfs : unicode Colour matching functions name. Returns ------- RGB_ColourMatchingFunctions or XYZ_ColourMatchingFunctions Colour matching functions. Raises ------ KeyError If the given colour matching functions is not found in the factory colour matching functions. """ cmfs, name = CMFS.get(cmfs), cmfs if cmfs is None: raise KeyError( ('"{0}" not found in factory colour matching functions: ' '"{1}".').format(name, ', '.join(sorted(CMFS.keys())))) return cmfs
def test_n_dimensional_wavelength_to_XYZ(self): """ Tests :func:`colour.colorimetry.tristimulus.wavelength_to_XYZ` definition n-dimensional arrays support. """ cmfs = CMFS.get('CIE 1931 2 Degree Standard Observer') wl = 480 XYZ = np.array([0.09564, 0.13902, 0.81295]) np.testing.assert_almost_equal( wavelength_to_XYZ(wl, cmfs), XYZ, decimal=7) wl = np.tile(wl, 6) XYZ = np.tile(XYZ, (6, 1)) np.testing.assert_almost_equal( wavelength_to_XYZ(wl, cmfs), XYZ, decimal=7) wl = np.reshape(wl, (2, 3)) XYZ = np.reshape(XYZ, (2, 3, 3)) np.testing.assert_almost_equal( wavelength_to_XYZ(wl, cmfs), XYZ, decimal=7) wl = np.reshape(wl, (2, 3, 1)) XYZ = np.reshape(XYZ, (2, 3, 1, 3)) np.testing.assert_almost_equal( wavelength_to_XYZ(wl, cmfs), XYZ, decimal=7)
def get_cmfs(cmfs): """ Returns the colour matching functions with given name. Parameters ---------- cmfs : unicode Colour matching functions name. Returns ------- RGB_ColourMatchingFunctions or XYZ_ColourMatchingFunctions Colour matching functions. Raises ------ KeyError If the given colour matching functions is not found in the factory colour matching functions. """ cmfs, name = CMFS.get(cmfs), cmfs if cmfs is None: raise KeyError( ('"{0}" not found in factory colour matching functions: ' '"{1}".').format(name, ', '.join(sorted(CMFS.keys())))) return cmfs
def test_tristimulus_weighting_factors_ASTME202211(self): """ Tests :func:`colour.colorimetry.tristimulus.\ tristimulus_weighting_factors_ASTME202211` definition. Notes ----- :attr:`A_CIE_1964_10_10_TWF`, :attr:`A_CIE_1964_10_20_TWF` and :attr:`D65_CIE_1931_2_20_TWF` attributes data is matching [1]_. References ---------- .. [1] ASTM International. (2015). ASTM E308–15 - Standard Practice for Computing the Colors of Objects by Using the CIE System, 1–47. doi:10.1520/E0308-15 """ cmfs = CMFS.get('CIE 1964 10 Degree Standard Observer') wl = cmfs.shape.range() A = SpectralPowerDistribution( 'A (360, 830, 1)', dict(zip(wl, CIE_standard_illuminant_A_function(wl)))) twf = tristimulus_weighting_factors_ASTME202211( cmfs, A, SpectralShape(360, 830, 10)) np.testing.assert_almost_equal( np.round(twf, 3), A_CIE_1964_10_10_TWF, decimal=3) twf = tristimulus_weighting_factors_ASTME202211( cmfs, A, SpectralShape(360, 830, 20)) np.testing.assert_almost_equal( np.round(twf, 3), A_CIE_1964_10_20_TWF, decimal=3) cmfs = CMFS.get('CIE 1931 2 Degree Standard Observer') D65 = ILLUMINANTS_RELATIVE_SPDS['D65'].clone().align( cmfs.shape, interpolation_method='Linear') twf = tristimulus_weighting_factors_ASTME202211( cmfs, D65, SpectralShape(360, 830, 20)) np.testing.assert_almost_equal( np.round(twf, 3), D65_CIE_1931_2_20_TWF, decimal=3)
def setUp(self): """ Initialises common tests attributes. """ self._spd = SAMPLE_SPD.clone() self._cmfs = CMFS.get('CIE 1931 2 Degree Standard Observer') wl = self._cmfs.shape.range() self.__A = SpectralPowerDistribution( 'A (360, 830, 1)', dict(zip(wl, CIE_standard_illuminant_A_function(wl))))
def test_wavelength_to_XYZ(self): """ Tests :func:`colour.colorimetry.tristimulus.wavelength_to_XYZ` definition. """ np.testing.assert_almost_equal(wavelength_to_XYZ( 480, CMFS.get('CIE 1931 2 Degree Standard Observer')), np.array([0.09564, 0.13902, 0.81295]), decimal=7) np.testing.assert_almost_equal( wavelength_to_XYZ(480, CMFS.get('CIE 2012 2 Degree Standard Observer')), np.array([0.08182895, 0.1788048, 0.7552379]), decimal=7) np.testing.assert_almost_equal(wavelength_to_XYZ( 641.5, CMFS.get('CIE 2012 2 Degree Standard Observer')), np.array([0.44575583, 0.18184213, 0.]), decimal=7)
def test_RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(self): """ Tests :func:`colour.colorimetry.transformations.\ RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs` definition. """ cmfs = CMFS.get('CIE 1931 2 Degree Standard Observer') np.testing.assert_allclose(RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(435), cmfs.get(435), atol=0.0025) np.testing.assert_allclose(RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(545), cmfs.get(545), atol=0.0025) np.testing.assert_allclose(RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(700), cmfs.get(700), atol=0.0025)
def test_LMS_2_degree_cmfs_to_XYZ_2_degree_cmfs(self): """ Tests :func:`colour.colorimetry.transformations.LMS_2_degree_cmfs_to_XYZ_2_degree_cmfs` # noqa definition. """ cmfs = CMFS.get('CIE 2012 2 Degree Standard Observer') np.testing.assert_allclose(LMS_2_degree_cmfs_to_XYZ_2_degree_cmfs(435), cmfs.get(435), atol=0.00015) np.testing.assert_allclose(LMS_2_degree_cmfs_to_XYZ_2_degree_cmfs(545), cmfs.get(545), atol=0.00015) np.testing.assert_allclose(LMS_2_degree_cmfs_to_XYZ_2_degree_cmfs(700), cmfs.get(700), atol=0.00015)
def test_wavelength_to_XYZ(self): """ Tests :func:`colour.colorimetry.tristimulus.wavelength_to_XYZ` definition. """ np.testing.assert_almost_equal( wavelength_to_XYZ( 480, CMFS.get('CIE 1931 2 Degree Standard Observer')), np.array([0.09564, 0.13902, 0.81295]), decimal=7) np.testing.assert_almost_equal( wavelength_to_XYZ( 480, CMFS.get('CIE 2012 2 Degree Standard Observer')), np.array([0.08182895, 0.1788048, 0.7552379]), decimal=7) np.testing.assert_almost_equal( wavelength_to_XYZ( 641.5, CMFS.get('CIE 2012 2 Degree Standard Observer')), np.array([0.44575583, 0.18184213, 0.]), decimal=7) np.testing.assert_almost_equal( wavelength_to_XYZ( 480.5, CMFS.get('CIE 2012 2 Degree Standard Observer'), 'Cubic Spline'), np.array([0.07773422, 0.18148028, 0.7337162]), decimal=7) np.testing.assert_almost_equal( wavelength_to_XYZ( 480.5, CMFS.get('CIE 2012 2 Degree Standard Observer'), 'Linear'), np.array([0.07779856, 0.18149335, 0.7340129]), decimal=7) np.testing.assert_almost_equal( wavelength_to_XYZ( 480.5, CMFS.get('CIE 2012 2 Degree Standard Observer'), 'Pchip'), np.array([0.07773515, 0.18148048, 0.73372294]), decimal=7)
def _get_cmfs_xy(): """ xy色度図のプロットのための馬蹄形の外枠のxy値を求める。 Returns ------- array_like xy coordinate for chromaticity diagram """ # 基本パラメータ設定 # ------------------ cmf = CMFS.get(CMFS_NAME) d65_white = D65_WHITE # 馬蹄形のxy値を算出 # -------------------------- cmf_xy = XYZ_to_xy(cmf.values, d65_white) return cmf_xy
def test_RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(self): """ Tests :func:`colour.colorimetry.transformations.\ RGB_10_degree_cmfs_to_LMS_10_degree_cmfs` definition. """ cmfs = CMFS.get('Stockman & Sharpe 10 Degree Cone Fundamentals') np.testing.assert_allclose( RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(435), cmfs.get(435), atol=0.0025) np.testing.assert_allclose( RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(545), cmfs.get(545), atol=0.0025) np.testing.assert_allclose( RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(700), cmfs.get(700), atol=0.0025)
def test_RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(self): """ Tests :func:`colour.colorimetry.transformations.\ RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs` definition. """ cmfs = CMFS.get('CIE 1931 2 Degree Standard Observer') np.testing.assert_allclose( RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(435), cmfs.get(435), atol=0.0025) np.testing.assert_allclose( RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(545), cmfs.get(545), atol=0.0025) np.testing.assert_allclose( RGB_2_degree_cmfs_to_XYZ_2_degree_cmfs(700), cmfs.get(700), atol=0.0025)
def test_RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(self): """ Tests :func:`colour.colorimetry.transformations.\ RGB_10_degree_cmfs_to_LMS_10_degree_cmfs` definition. """ cmfs = CMFS.get('Stockman & Sharpe 10 Degree Cone Fundamentals') np.testing.assert_allclose( RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(435), cmfs.get(435), atol=0.0025) np.testing.assert_allclose( RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(545), cmfs.get(545), atol=0.0025) np.testing.assert_allclose( RGB_10_degree_cmfs_to_LMS_10_degree_cmfs(700), cmfs.get(700), atol=0.0025)
def test_LMS_10_degree_cmfs_to_XYZ_10_degree_cmfs(self): """ Tests :func:`colour.colorimetry.transformations.\ LMS_10_degree_cmfs_to_XYZ_10_degree_cmfs` definition. """ cmfs = CMFS.get('CIE 2012 10 Degree Standard Observer') np.testing.assert_allclose( LMS_10_degree_cmfs_to_XYZ_10_degree_cmfs(435), cmfs.get(435), atol=0.00015) np.testing.assert_allclose( LMS_10_degree_cmfs_to_XYZ_10_degree_cmfs(545), cmfs.get(545), atol=0.00015) np.testing.assert_allclose( LMS_10_degree_cmfs_to_XYZ_10_degree_cmfs(700), cmfs.get(700), atol=0.00015)
def planckian_locus_CIE_1931_chromaticity_diagram_plot( illuminants=None, **kwargs): """ Plots the planckian locus and given illuminants in *CIE 1931 Chromaticity Diagram*. Parameters ---------- illuminants : array_like, optional Factory illuminants to plot. \**kwargs : dict, optional Keywords arguments. Returns ------- Figure Current figure or None. Raises ------ KeyError If one of the given illuminant is not found in the factory illuminants. Examples -------- >>> ils = ['A', 'B', 'C'] >>> planckian_locus_CIE_1931_chromaticity_diagram_plot( ... ils) # doctest: +SKIP """ if illuminants is None: illuminants = ('A', 'B', 'C') cmfs = CMFS.get('CIE 1931 2 Degree Standard Observer') settings = { 'title': ('{0} Illuminants - Planckian Locus\n' 'CIE 1931 Chromaticity Diagram - ' 'CIE 1931 2 Degree Standard Observer').format( ', '.join(illuminants)) if illuminants else ('Planckian Locus\nCIE 1931 Chromaticity Diagram - ' 'CIE 1931 2 Degree Standard Observer'), 'standalone': False} settings.update(kwargs) CIE_1931_chromaticity_diagram_plot(**settings) start, end = 1667, 100000 xy = np.array([UCS_uv_to_xy(CCT_to_uv(x, 0, method='Robertson 1968')) for x in np.arange(start, end + 250, 250)]) pylab.plot(xy[..., 0], xy[..., 1], color='black', linewidth=2) for i in (1667, 2000, 2500, 3000, 4000, 6000, 10000): x0, y0 = UCS_uv_to_xy(CCT_to_uv(i, -0.025, method='Robertson 1968')) x1, y1 = UCS_uv_to_xy(CCT_to_uv(i, 0.025, method='Robertson 1968')) pylab.plot((x0, x1), (y0, y1), color='black', linewidth=2) pylab.annotate('{0}K'.format(i), xy=(x0, y0), xytext=(0, -10), color='black', textcoords='offset points', size='x-small') for illuminant in illuminants: xy = ILLUMINANTS.get(cmfs.name).get(illuminant) if xy is None: raise KeyError( ('Illuminant "{0}" not found in factory illuminants: ' '"{1}".').format(illuminant, sorted(ILLUMINANTS.get(cmfs.name).keys()))) pylab.plot(xy[0], xy[1], 'o', color='white', linewidth=2) pylab.annotate(illuminant, xy=(xy[0], xy[1]), xytext=(-50, 30), color='black', textcoords='offset points', arrowprops=dict(arrowstyle='->', connectionstyle='arc3, rad=-0.2')) settings.update({ 'x_tighten': True, 'y_tighten': True, 'limits': (-0.1, 0.9, -0.1, 0.9), 'standalone': True}) settings.update(kwargs) boundaries(**settings) decorate(**settings) return display(**settings)
def planckian_locus_CIE_1960_UCS_chromaticity_diagram_plot( illuminants=None, **kwargs): """ Plots the planckian locus and given illuminants in *CIE 1960 UCS Chromaticity Diagram*. Parameters ---------- illuminants : array_like, optional Factory illuminants to plot. \*\*kwargs : \*\* Keywords arguments. Returns ------- bool Definition success. Raises ------ KeyError If one of the given illuminant is not found in the factory illuminants. Examples -------- >>> ils = ['A', 'C', 'E'] >>> planckian_locus_CIE_1960_UCS_chromaticity_diagram_plot(ils) # noqa # doctest: +SKIP True """ if illuminants is None: illuminants = ('A', 'C', 'E') cmfs = CMFS.get('CIE 1931 2 Degree Standard Observer') settings = { 'title': ('{0} Illuminants - Planckian Locus\n' 'CIE 1960 UCS Chromaticity Diagram - ' 'CIE 1931 2 Degree Standard Observer').format( ', '.join(illuminants)) if illuminants else ('Planckian Locus\nCIE 1960 UCS Chromaticity Diagram - ' 'CIE 1931 2 Degree Standard Observer'), 'standalone': False} settings.update(kwargs) if not CIE_1960_UCS_chromaticity_diagram_plot(**settings): return xy_to_uv = lambda x: UCS_to_uv(XYZ_to_UCS(xy_to_XYZ(x))) start, end = 1667, 100000 uv = np.array([CCT_to_uv(x, 0, cmfs=cmfs) for x in np.arange(start, end + 250, 250)]) pylab.plot(uv[:, 0], uv[:, 1], color='black', linewidth=2) for i in [1667, 2000, 2500, 3000, 4000, 6000, 10000]: u0, v0 = CCT_to_uv(i, -0.05) u1, v1 = CCT_to_uv(i, 0.05) pylab.plot([u0, u1], [v0, v1], color='black', linewidth=2) pylab.annotate('{0}K'.format(i), xy=(u0, v0), xytext=(0, -10), textcoords='offset points', size='x-small') for illuminant in illuminants: uv = xy_to_uv(ILLUMINANTS.get(cmfs.name).get(illuminant)) if uv is None: raise KeyError( ('Illuminant "{0}" not found in factory illuminants: ' '"{1}".').format(illuminant, sorted(ILLUMINANTS.get(cmfs.name).keys()))) pylab.plot(uv[0], uv[1], 'o', color='white', linewidth=2) pylab.annotate(illuminant, xy=(uv[0], uv[1]), xytext=(-50, 30), textcoords='offset points', arrowprops=dict(arrowstyle='->', connectionstyle='arc3, rad=-0.2')) settings.update({'standalone': True}) settings.update(kwargs) return display(**settings)
def planckian_locus_CIE_1931_chromaticity_diagram_plot( illuminants=None, **kwargs): """ Plots the planckian locus and given illuminants in *CIE 1931 Chromaticity Diagram*. Parameters ---------- illuminants : array_like, optional Factory illuminants to plot. \*\*kwargs : \*\* Keywords arguments. Returns ------- bool Definition success. Raises ------ KeyError If one of the given illuminant is not found in the factory illuminants. Examples -------- >>> ils = ['A', 'B', 'C'] >>> planckian_locus_CIE_1931_chromaticity_diagram_plot(ils) # noqa # doctest: +SKIP True """ if illuminants is None: illuminants = ('A', 'B', 'C') cmfs = CMFS.get('CIE 1931 2 Degree Standard Observer') settings = { 'title': ('{0} Illuminants - Planckian Locus\n' 'CIE 1931 Chromaticity Diagram - ' 'CIE 1931 2 Degree Standard Observer').format( ', '.join(illuminants)) if illuminants else ('Planckian Locus\nCIE 1931 Chromaticity Diagram - ' 'CIE 1931 2 Degree Standard Observer'), 'standalone': False} settings.update(kwargs) if not CIE_1931_chromaticity_diagram_plot(**settings): return start, end = 1667, 100000 x, y = tuple(zip(*[UCS_uv_to_xy(CCT_to_uv(x, 0, cmfs=cmfs)) for x in np.arange(start, end + 250, 250)])) pylab.plot(x, y, color='black', linewidth=2) for i in [1667, 2000, 2500, 3000, 4000, 6000, 10000]: x0, y0 = UCS_uv_to_xy(CCT_to_uv(i, -0.025, cmfs=cmfs)) x1, y1 = UCS_uv_to_xy(CCT_to_uv(i, 0.025, cmfs=cmfs)) pylab.plot([x0, x1], [y0, y1], color='black', linewidth=2) pylab.annotate('{0}K'.format(i), xy=(x0, y0), xytext=(0, -10), textcoords='offset points', size='x-small') for illuminant in illuminants: xy = ILLUMINANTS.get(cmfs.name).get(illuminant) if xy is None: raise KeyError( ('Illuminant "{0}" not found in factory illuminants: ' '"{1}".').format(illuminant, sorted(ILLUMINANTS.get(cmfs.name).keys()))) pylab.plot(xy[0], xy[1], 'o', color='white', linewidth=2) pylab.annotate(illuminant, xy=(xy[0], xy[1]), xytext=(-50, 30), textcoords='offset points', arrowprops=dict(arrowstyle='->', connectionstyle='arc3, rad=-0.2')) settings.update({'standalone': True}) return display(**settings)