GitHub - colour-science/colour: Colour Science for Python (original) (raw)

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Colour is an open-sourcePython package providing a comprehensive number of algorithms and datasets for colour science.

It is freely available under theBSD-3-Clause terms.

Colour is an affiliated project of NumFOCUS, a 501(c)(3) nonprofit in the United States.

Table of Contents

1 Draft Release Notes

The draft release notes of thedevelopbranch are available at thisurl.

2 Sponsors

We are grateful 💖 for the support of oursponsors. If you'd like to join them, please considerbecoming a sponsor on OpenCollective.

Gold Sponsors

Silver Sponsors

Nick Shaw

Bronze Sponsors

Sean Cooper CAVE Academy Studio Zhanna Alekseeva.NYC James Howard

Donations & Special Sponsors

JetBrains Troy James Sobotka Remi Achard Kevin Whitfield Richard Lackey
Liam Collod Alex Mitchell Ilia Sibiryakov Zack Lewis Frederic Savoir
Howard Colin Christophe Brejon Mario Rokicki Joshua Pines

3 Features

Most of the objects are available from the colour namespace:

3.1 Automatic Colour Conversion Graph - colour.graph

https://colour.readthedocs.io/en/develop/_static/Examples_Colour_Automatic_Conversion_Graph.png

import colour

sd = colour.SDS_COLOURCHECKERS["ColorChecker N Ohta"]["dark skin"] colour.convert(sd, "Spectral Distribution", "sRGB", verbose={"mode": "Short"})

=============================================================================== * * * [ Conversion Path ] * * * * "sd_to_XYZ" --> "XYZ_to_sRGB" * * *

[ 0.49034776 0.30185875 0.23587685]

import colour

sd = colour.SDS_COLOURCHECKERS["ColorChecker N Ohta"]["dark skin"] illuminant = colour.SDS_ILLUMINANTS["FL2"] colour.convert( sd, "Spectral Distribution", "sRGB", sd_to_XYZ={"illuminant": illuminant}, )

[ 0.47924575 0.31676968 0.17362725]

3.2 Chromatic Adaptation - colour.adaptation

import colour

XYZ = [0.20654008, 0.12197225, 0.05136952] D65 = colour.CCS_ILLUMINANTS["CIE 1931 2 Degree Standard Observer"]["D65"] A = colour.CCS_ILLUMINANTS["CIE 1931 2 Degree Standard Observer"]["A"] colour.chromatic_adaptation(XYZ, colour.xy_to_XYZ(D65), colour.xy_to_XYZ(A))

[ 0.25331034 0.13765286 0.01543185]

import colour

sorted(colour.CHROMATIC_ADAPTATION_METHODS)

['CIE 1994', 'CMCCAT2000', 'Fairchild 1990', 'Li 2025', 'Von Kries', 'Zhai 2018', 'vK20']

3.3 Algebra - colour.algebra

3.3.1 Kernel Interpolation

import colour

y = [5.9200, 9.3700, 10.8135, 4.5100, 69.5900, 27.8007, 86.0500] x = range(len(y)) colour.KernelInterpolator(x, y)([0.25, 0.75, 5.50])

[ 6.18062083 8.08238488 57.85783403]

3.3.2 Sprague (1880) Interpolation

import colour

y = [5.9200, 9.3700, 10.8135, 4.5100, 69.5900, 27.8007, 86.0500] x = range(len(y)) colour.SpragueInterpolator(x, y)([0.25, 0.75, 5.50])

[ 6.72951612 7.81406251 43.77379185]

3.4 Colour Appearance Models - colour.appearance

import colour

XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_CIECAM02(XYZ, XYZ_w, L_A, Y_b)

CAM_Specification_CIECAM02(J=34.434525727858997, C=67.365010921125915, h=22.279164147957076, s=62.814855853327131, Q=177.47124941102123, M=70.024939419291385, H=2.689608534423904, HC=None)

import colour

XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_CIECAM16(XYZ, XYZ_w, L_A, Y_b)

CAM_Specification_CIECAM16(J=33.880368498111686, C=69.444353357408033, h=19.510887327451748, s=64.03612114840314, Q=176.03752758512178, M=72.18638534116765, H=399.52975599115319, HC=None)

import colour

XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_CAM16(XYZ, XYZ_w, L_A, Y_b)

CAM_Specification_CAM16(J=33.880368498111686, C=69.444353357408033, h=19.510887327451748, s=64.03612114840314, Q=176.03752758512178, M=72.18638534116765, H=399.52975599115319, HC=None)

import colour

XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_Hellwig2022(XYZ, XYZ_w, L_A, Y_b)

CAM_Specification_Hellwig2022(J=33.880368498111686, C=37.579419116276348, h=19.510887327451748, s=109.33343382561695, Q=45.34489577734751, M=49.577131618021212, H=399.52975599115319, HC=None, J_HK=39.41741758094139, Q_HK=52.755585941150315)

import colour

XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_Kim2009(XYZ, XYZ_w, L_A)

CAM_Specification_Kim2009(J=19.879918542450937, C=55.83905525087696, h=22.013388165090031, s=112.9797935493912, Q=36.309026130161513, M=46.346415858227871, H=2.3543198369639753, HC=None)

import colour

XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_sCAM(XYZ, XYZ_w, L_A, Y_b)

CAM_Specification_sCAM(J=42.550992142462782, C=40.419439198593302, h=20.904455433026421, Q=175.74578999778015, M=14.325369984981474, H=7.1106008503613021, HC=None, V=81.92545469934403, K=18.07454530065597, W=0.023675944970833029, D=99.976324055029167)

import colour

XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_ZCAM(XYZ, XYZ_w, L_A, Y_b)

CAM_Specification_ZCAM(J=38.347186278956357, C=21.121389892085183, h=33.711578931095183, s=81.444585609489536, Q=76.986725284523772, M=42.403805833900513, H=0.45779200212217158, HC=None, V=43.623590687423551, K=43.20894953152817, W=34.829588380192149)

3.5 Colour Blindness - colour.blindness

import colour

cmfs = colour.colorimetry.MSDS_CMFS_LMS["Stockman & Sharpe 2 Degree Cone Fundamentals"] colour.msds_cmfs_anomalous_trichromacy_Machado2009(cmfs, [15, 0, 0])[450]

[ 0.08912884 0.0870524 0.955393 ]

import colour

cmfs = colour.colorimetry.MSDS_CMFS_LMS["Stockman & Sharpe 2 Degree Cone Fundamentals"] primaries = colour.MSDS_DISPLAY_PRIMARIES["Apple Studio Display"] d_LMS = (15, 0, 0) colour.matrix_anomalous_trichromacy_Machado2009(cmfs, primaries, d_LMS)

[[-0.27774652 2.65150084 -1.37375432] [ 0.27189369 0.20047862 0.52762768] [ 0.00644047 0.25921579 0.73434374]]

3.6 Colour Correction - colour characterisation

import colour import numpy as np

RGB = [0.17224810, 0.09170660, 0.06416938] M_T = np.random.random((24, 3)) M_R = M_T + (np.random.random((24, 3)) - 0.5) * 0.5 colour.colour_correction(RGB, M_T, M_R)

[ 0.17960686 0.08935744 0.06766639] # (results will vary due to random inputs)

import colour

sorted(colour.COLOUR_CORRECTION_METHODS)

['Cheung 2004', 'Finlayson 2015', 'Vandermonde']

3.7 ACES Input Transform - colour characterisation

import colour

sensitivities = colour.MSDS_CAMERA_SENSITIVITIES["Nikon 5100 (NPL)"] illuminant = colour.SDS_ILLUMINANTS["D55"] colour.matrix_idt(sensitivities, illuminant)

(array([[ 0.59368175, 0.30418373, 0.10213451], [ 0.0045798 , 1.14946005, -0.15403985], [ 0.03552214, -0.16312291, 1.12760078]]), array([ 1.58214188, 1. , 1.28910346]))

3.8 Colorimetry - colour.colorimetry

3.8.1 Spectral Computations

import colour

colour.sd_to_XYZ(colour.SDS_LIGHT_SOURCES["Neodimium Incandescent"])

[ 36.94726204 32.62076174 13.0143849 ]

import colour

sorted(colour.SD_TO_XYZ_METHODS)

['ASTM E308', 'Integration', 'astm2015']

3.8.2 Multi-Spectral Computations

import colour

msds = [ [ [ 0.01367208, 0.09127947, 0.01524376, 0.02810712, 0.19176012, 0.04299992, ], [ 0.00959792, 0.25822842, 0.41388571, 0.22275120, 0.00407416, 0.37439537, ], [ 0.01791409, 0.29707789, 0.56295109, 0.23752193, 0.00236515, 0.58190280, ], ], [ [ 0.01492332, 0.10421912, 0.02240025, 0.03735409, 0.57663846, 0.32416266, ], [ 0.04180972, 0.26402685, 0.03572137, 0.00413520, 0.41808194, 0.24696727, ], [ 0.00628672, 0.11454948, 0.02198825, 0.39906919, 0.63640803, 0.01139849, ], ], [ [ 0.04325933, 0.26825359, 0.23732357, 0.05175860, 0.01181048, 0.08233768, ], [ 0.02484169, 0.12027161, 0.00541695, 0.00654612, 0.18603799, 0.36247808, ], [ 0.03102159, 0.16815442, 0.37186235, 0.08610666, 0.00413520, 0.78492409, ], ], [ [ 0.11682307, 0.78883040, 0.74468607, 0.83375293, 0.90571451, 0.70054168, ], [ 0.06321812, 0.41898224, 0.15190357, 0.24591440, 0.55301750, 0.00657664, ], [ 0.00305180, 0.11288624, 0.11357290, 0.12924391, 0.00195315, 0.21771573, ], ], ]

colour.msds_to_XYZ( msds, method="Integration", shape=colour.SpectralShape(400, 700, 60), )

[[[ 7.68544647 4.09414317 8.49324254] [ 17.12567298 27.77681821 25.52573685] [ 19.10280411 34.45851476 29.76319628]] [[ 18.03375827 8.62340812 9.71702574] [ 15.03110867 6.54001068 24.53208465] [ 37.68269495 26.4411103 10.66361816]] [[ 8.09532373 12.75333339 25.79613956] [ 7.09620297 2.79257389 11.15039854] [ 8.933163 19.39985815 17.14915636]] [[ 80.00969553 80.39810464 76.08184429] [ 33.27611427 24.38947838 39.34919287] [ 8.89425686 11.05185138 10.86767594]]]

import colour

sorted(colour.MSDS_TO_XYZ_METHODS)

['ASTM E308', 'Integration', 'astm2015']

3.8.3 Blackbody Spectral Radiance Computation

import colour

colour.sd_blackbody(5000)

[[ 360. 6654.27827064] [ 361. 6709.60527925] [ 362. 6764.82512152] ... [ 780. 10573.85196369]]

3.8.4 Dominant, Complementary Wavelength & Colour Purity Computation

import colour

xy = [0.54369557, 0.32107944] xy_n = [0.31270000, 0.32900000] colour.dominant_wavelength(xy, xy_n)

(array(616.0), array([ 0.68354746, 0.31628409]), array([ 0.68354746, 0.31628409]))

3.8.5 Lightness Computation

import colour

colour.lightness(12.19722535)

41.5278758447

import colour

sorted(colour.LIGHTNESS_METHODS)

['Abebe 2017', 'CIE 1976', 'Fairchild 2010', 'Fairchild 2011', 'Glasser 1958', 'Lstar1976', 'Wyszecki 1963']

3.8.6 Luminance Computation

import colour

colour.luminance(41.52787585)

12.1972253534

import colour

sorted(colour.LUMINANCE_METHODS)

['ASTM D1535', 'Abebe 2017', 'CIE 1976', 'Fairchild 2010', 'Fairchild 2011', 'Newhall 1943', 'astm2008', 'cie1976']

3.8.7 Whiteness Computation

import colour

XYZ = [95.00000000, 100.00000000, 105.00000000] XYZ_0 = [94.80966767, 100.00000000, 107.30513595] colour.whiteness(XYZ, XYZ_0)

[ 93.756 -1.33000001]

import colour

sorted(colour.WHITENESS_METHODS)

['ASTM E313', 'Berger 1959', 'CIE 2004', 'Ganz 1979', 'Stensby 1968', 'Taube 1960', 'cie2004']

3.8.8 Yellowness Computation

import colour

XYZ = [95.00000000, 100.00000000, 105.00000000] colour.yellowness(XYZ)

4.34

import colour

sorted(colour.YELLOWNESS_METHODS)

['ASTM D1925', 'ASTM E313', 'ASTM E313 Alternative']

3.8.9 Luminous Flux, Efficiency & Efficacy Computation

import colour

sd = colour.SDS_LIGHT_SOURCES["Neodimium Incandescent"] colour.luminous_flux(sd)

23807.6555274

import colour

sd = colour.SDS_LIGHT_SOURCES["Neodimium Incandescent"] colour.luminous_efficiency(sd)

0.199439356245

import colour

sd = colour.SDS_LIGHT_SOURCES["Neodimium Incandescent"] colour.luminous_efficacy(sd)

136.217080315

3.9 Contrast Sensitivity Function - colour.contrast

import colour

colour.contrast_sensitivity_function(u=4, X_0=60, E=65)

358.511807899

import colour

sorted(colour.CONTRAST_SENSITIVITY_METHODS)

['Barten 1999']

3.10 Colour Difference - colour.difference

import colour

Lab_1 = [100.00000000, 21.57210357, 272.22819350] Lab_2 = [100.00000000, 426.67945353, 72.39590835] colour.delta_E(Lab_1, Lab_2)

94.0356490267

import colour

sorted(colour.DELTA_E_METHODS)

['CAM02-LCD', 'CAM02-SCD', 'CAM02-UCS', 'CAM16-LCD', 'CAM16-SCD', 'CAM16-UCS', 'CIE 1976', 'CIE 1994', 'CIE 2000', 'CMC', 'DIN99', 'HyAB', 'HyCH', 'ITP', 'cie1976', 'cie1994', 'cie2000']

3.11 IO - colour.io

3.11.1 Images

import colour

RGB = colour.read_image("Ishihara_Colour_Blindness_Test_Plate_3.png") RGB.shape

(276, 281, 3)

3.11.2 Spectral Images - Fichet et al. (2021)

import colour

components = colour.read_spectral_image_Fichet2021("Polarised.exr") list(components.keys())

['S0', 'S1', 'S2', 'S3']

3.11.3 Look Up Table (LUT) Data

import colour

LUT = colour.read_LUT("ACES_Proxy_10_to_ACES.cube") print(LUT)

LUT3x1D - ACES Proxy 10 to ACES

Dimensions : 2 Domain : [[0 0 0] [1 1 1]] Size : (32, 3)

import colour

RGB = [0.17224810, 0.09170660, 0.06416938] LUT.apply(RGB)

[ 0.00575674, 0.00181493, 0.00121419]

3.12 Colour Models - colour.models

3.12.1 CIE xyY Colourspace

import colour

colour.XYZ_to_xyY([0.20654008, 0.12197225, 0.05136952])

[ 0.54369557 0.32107944 0.12197225]

3.12.2 CIE L*a*b* Colourspace

import colour

colour.XYZ_to_Lab([0.20654008, 0.12197225, 0.05136952])

[ 41.52787529 52.63858304 26.92317922]

3.12.3 CIE L*u*v* Colourspace

import colour

colour.XYZ_to_Luv([0.20654008, 0.12197225, 0.05136952])

[ 41.52787529 96.83626054 17.75210149]

3.12.4 CIE 1960 UCS Colourspace

import colour

colour.XYZ_to_UCS([0.20654008, 0.12197225, 0.05136952])

[ 0.13769339 0.12197225 0.1053731 ]

3.12.5 CIE 1964 U*V*W* Colourspace

import colour

XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] colour.XYZ_to_UVW(XYZ)

[ 94.55035725 11.55536523 40.54757405]

3.12.6 CAM02-LCD, CAM02-SCD, and CAM02-UCS Colourspaces - Luo, Cui and Li (2006)

import colour

XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 surround = colour.VIEWING_CONDITIONS_CIECAM02["Average"] specification = colour.XYZ_to_CIECAM02(XYZ, XYZ_w, L_A, Y_b, surround) JMh = [specification.J, specification.M, specification.h] colour.JMh_CIECAM02_to_CAM02UCS(JMh)

[ 47.16899898 38.72623785 15.8663383 ]

import colour

XYZ = [0.20654008, 0.12197225, 0.05136952] XYZ_w = [95.05 / 100, 100.00 / 100, 108.88 / 100] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_CAM02UCS(XYZ, XYZ_w=XYZ_w, L_A=L_A, Y_b=Y_b)

[ 47.16899898 38.72623785 15.8663383 ]

3.12.7 CAM16-LCD, CAM16-SCD, and CAM16-UCS Colourspaces - Li et al. (2017)

import colour

XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 surround = colour.VIEWING_CONDITIONS_CAM16["Average"] specification = colour.XYZ_to_CAM16(XYZ, XYZ_w, L_A, Y_b, surround) JMh = [specification.J, specification.M, specification.h] colour.JMh_CAM16_to_CAM16UCS(JMh)

[ 46.55542238 40.22460974 14.25288392]

import colour

XYZ = [0.20654008, 0.12197225, 0.05136952] XYZ_w = [95.05 / 100, 100.00 / 100, 108.88 / 100] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_CAM16UCS(XYZ, XYZ_w=XYZ_w, L_A=L_A, Y_b=Y_b)

[ 46.55542238 40.22460974 14.25288392]

3.12.8 DIN99 Colourspace and DIN99b, DIN99c, DIN99d Refined Formulas

import colour

Lab = [41.52787529, 52.63858304, 26.92317922] colour.Lab_to_DIN99(Lab)

[ 53.22821988 28.41634656 3.89839552]

3.12.9 ICaCb Colourspace

import colour

colour.XYZ_to_ICaCb([0.20654008, 0.12197225, 0.05136952])

[ 0.06875297 0.05753352 0.02081548]

3.12.10 IgPgTg Colourspace

import colour

colour.XYZ_to_IgPgTg([0.20654008, 0.12197225, 0.05136952])

[ 0.42421258 0.18632491 0.10689223]

3.12.11 IPT Colourspace

import colour

colour.XYZ_to_IPT([0.20654008, 0.12197225, 0.05136952])

[ 0.38426191 0.38487306 0.18886838]

3.12.12 Jzazbz Colourspace

import colour

colour.XYZ_to_Jzazbz([0.20654008, 0.12197225, 0.05136952])

[ 0.00535048 0.00924302 0.00526007]

3.12.13 Hunter L,a,b Colour Scale

import colour

XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] colour.XYZ_to_Hunter_Lab(XYZ)

[ 34.92452577 47.06189858 14.38615107]

3.12.14 Hunter Rd,a,b Colour Scale

import colour

XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] colour.XYZ_to_Hunter_Rdab(XYZ)

[ 12.197225 57.12537874 17.46241341]

3.12.15 Oklab Colourspace

import colour

colour.XYZ_to_Oklab([0.20654008, 0.12197225, 0.05136952])

[ 0.51634019 0.154695 0.06289579]

3.12.16 OSA UCS Colourspace

import colour

XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] colour.XYZ_to_OSA_UCS(XYZ)

[-3.0049979 2.99713697 -9.66784231]

3.12.17 ProLab Colourspace

import colour

colour.XYZ_to_ProLab([0.51634019, 0.15469500, 0.06289579])

[ 59.8466286 115.0396354 20.12510352]

3.12.18 Ragoo and Farup (2021) Optimised IPT Colourspace

import colour

colour.XYZ_to_IPT_Ragoo2021([0.20654008, 0.12197225, 0.05136952])

[ 0.42248243 0.2910514 0.20410663]

3.12.19 Yrg Colourspace - Kirk (2019)

import colour

colour.XYZ_to_Yrg([0.20654008, 0.12197225, 0.05136952])

[ 0.13137801 0.49037645 0.37777388]

3.12.20 hdr-CIELAB Colourspace

import colour

colour.XYZ_to_hdr_CIELab([0.20654008, 0.12197225, 0.05136952])

[ 51.87002062 60.4763385 32.14551912]

3.12.21 hdr-IPT Colourspace

import colour

colour.XYZ_to_hdr_IPT([0.20654008, 0.12197225, 0.05136952])

[ 25.18261761 -22.62111297 3.18511729]

3.12.22 Y'CbCr Colour Encoding

import colour

colour.RGB_to_YCbCr([1.0, 1.0, 1.0])

[ 0.92156863 0.50196078 0.50196078]

3.12.23 YCoCg Colour Encoding

import colour

colour.RGB_to_YCoCg([0.75, 0.75, 0.0])

[ 0.5625 0.375 0.1875]

3.12.24 ICtCp Colour Encoding

import colour

colour.RGB_to_ICtCp([0.45620519, 0.03081071, 0.04091952])

[ 0.07351364 0.00475253 0.09351596]

3.12.25 HSV Colourspace

import colour

colour.RGB_to_HSV([0.45620519, 0.03081071, 0.04091952])

[ 0.99603944 0.93246304 0.45620519]

3.12.26 IHLS Colourspace

import colour

colour.RGB_to_IHLS([0.45620519, 0.03081071, 0.04091952])

[ 6.26236117 0.12197943 0.42539448]

3.12.27 Prismatic Colourspace

import colour

colour.RGB_to_Prismatic([0.25, 0.50, 0.75])

[ 0.75 0.16666667 0.33333333 0.5 ]

3.12.28 RGB Colourspace and Transformations

import colour

XYZ = [0.21638819, 0.12570000, 0.03847493] illuminant_XYZ = [0.34570, 0.35850] illuminant_RGB = [0.31270, 0.32900] chromatic_adaptation_transform = "Bradford" matrix_XYZ_to_RGB = [ [3.24062548, -1.53720797, -0.49862860], [-0.96893071, 1.87575606, 0.04151752], [0.05571012, -0.20402105, 1.05699594], ] colour.XYZ_to_RGB( XYZ, illuminant_XYZ, illuminant_RGB, matrix_XYZ_to_RGB, chromatic_adaptation_transform, )

[ 0.45595571 0.03039702 0.04087245]

3.12.29 RGB Colourspace Derivation

import colour

p = [0.73470, 0.26530, 0.00000, 1.00000, 0.00010, -0.07700] w = [0.32168, 0.33767] colour.normalised_primary_matrix(p, w)

[[ 9.52552396e-01 0.00000000e+00 9.36786317e-05] [ 3.43966450e-01 7.28166097e-01 -7.21325464e-02] [ 0.00000000e+00 0.00000000e+00 1.00882518e+00]]

3.12.30 RGB Colourspaces

import colour

sorted(colour.RGB_COLOURSPACES)

['ACES2065-1', 'ACEScc', 'ACEScct', 'ACEScg', 'ACESproxy', 'ARRI Wide Gamut 3', 'ARRI Wide Gamut 4', 'Adobe RGB (1998)', 'Adobe Wide Gamut RGB', 'Apple RGB', 'Best RGB', 'Beta RGB', 'Blackmagic Wide Gamut', 'CIE RGB', 'CIE XYZ-D65 - Scene-referred', 'Cinema Gamut', 'ColorMatch RGB', 'DCDM XYZ', 'DCI-P3', 'DCI-P3-P', 'DJI D-Gamut', 'DRAGONcolor', 'DRAGONcolor2', 'DaVinci Wide Gamut', 'Display P3', 'Don RGB 4', 'EBU Tech. 3213-E', 'ECI RGB v2', 'ERIMM RGB', 'Ekta Space PS 5', 'F-Gamut', 'F-Gamut C', 'FilmLight E-Gamut', 'FilmLight E-Gamut 2', 'Gamma 1.8 Encoded Rec.709', 'Gamma 2.2 Encoded AP1', 'Gamma 2.2 Encoded AdobeRGB', 'Gamma 2.2 Encoded Rec.709', 'ITU-R BT.2020', 'ITU-R BT.470 - 525', 'ITU-R BT.470 - 625', 'ITU-R BT.709', 'ITU-T H.273 - 22 Unspecified', 'ITU-T H.273 - Generic Film', 'Linear AdobeRGB', 'Linear P3-D65', 'Linear Rec.2020', 'Linear Rec.709 (sRGB)', 'Max RGB', 'N-Gamut', 'NTSC (1953)', 'NTSC (1987)', 'P3-D65', 'PLASA ANSI E1.54', 'Pal/Secam', 'ProPhoto RGB', 'Protune Native', 'REDWideGamutRGB', 'REDcolor', 'REDcolor2', 'REDcolor3', 'REDcolor4', 'RIMM RGB', 'ROMM RGB', 'Russell RGB', 'S-Gamut', 'S-Gamut3', 'S-Gamut3.Cine', 'SMPTE 240M', 'SMPTE C', 'Sharp RGB', 'V-Gamut', 'Venice S-Gamut3', 'Venice S-Gamut3.Cine', 'Xtreme RGB', 'aces', 'adobe1998', 'g18_rec709_scene', 'g22_adobergb_scene', 'g22_ap1_scene', 'g22_rec709_scene', 'lin_adobergb_scene', 'lin_ap0_scene', 'lin_ap1_scene', 'lin_ciexyzd65_scene', 'lin_p3d65_scene', 'lin_rec2020_scene', 'lin_rec709_scene', 'prophoto', 'sRGB', 'sRGB Encoded AP1', 'sRGB Encoded P3-D65', 'sRGB Encoded Rec.709 (sRGB)', 'srgb_ap1_scene', 'srgb_p3d65_scene', 'srgb_rec709_scene']

3.12.31 OETFs

import colour

sorted(colour.OETFS)

['ARIB STD-B67', 'Blackmagic Film Generation 5', 'DaVinci Intermediate', 'ITU-R BT.2020', 'ITU-R BT.2100 HLG', 'ITU-R BT.2100 PQ', 'ITU-R BT.601', 'ITU-R BT.709', 'ITU-T H.273 IEC 61966-2', 'ITU-T H.273 Log', 'ITU-T H.273 Log Sqrt', 'SMPTE 240M']

3.12.32 EOTFs

import colour

sorted(colour.EOTFS)

['DCDM', 'DICOM GSDF', 'ITU-R BT.1886', 'ITU-R BT.2100 HLG', 'ITU-R BT.2100 PQ', 'ITU-T H.273 ST.428-1', 'SMPTE 240M', 'ST 2084', 'sRGB']

3.12.33 OOTFs

import colour

sorted(colour.OOTFS)

['ITU-R BT.2100 HLG', 'ITU-R BT.2100 PQ']

3.12.34 Log Encoding / Decoding

import colour

sorted(colour.LOG_ENCODINGS)

['ACEScc', 'ACEScct', 'ACESproxy', 'ARRI LogC3', 'ARRI LogC4', 'Apple Log Profile', 'Canon Log', 'Canon Log 2', 'Canon Log 3', 'Cineon', 'D-Log', 'ERIMM RGB', 'F-Log', 'F-Log2', 'Filmic Pro 6', 'L-Log', 'Log2', 'Log3G10', 'Log3G12', 'Mi-Log', 'N-Log', 'PLog', 'Panalog', 'Protune', 'REDLog', 'REDLogFilm', 'S-Log', 'S-Log2', 'S-Log3', 'T-Log', 'V-Log', 'ViperLog']

3.12.35 CCTFs Encoding / Decoding

import colour

sorted(colour.CCTF_ENCODINGS)

['ACEScc', 'ACEScct', 'ACESproxy', 'ARIB STD-B67', 'ARRI LogC3', 'ARRI LogC4', 'Apple Log Profile', 'Blackmagic Film Generation 5', 'Canon Log', 'Canon Log 2', 'Canon Log 3', 'Cineon', 'D-Log', 'DCDM', 'DICOM GSDF', 'DaVinci Intermediate', 'ERIMM RGB', 'F-Log', 'F-Log2', 'Filmic Pro 6', 'Gamma 2.2', 'Gamma 2.4', 'Gamma 2.6', 'ITU-R BT.1886', 'ITU-R BT.2020', 'ITU-R BT.2100 HLG', 'ITU-R BT.2100 PQ', 'ITU-R BT.601', 'ITU-R BT.709', 'ITU-T H.273 IEC 61966-2', 'ITU-T H.273 Log', 'ITU-T H.273 Log Sqrt', 'ITU-T H.273 ST.428-1', 'L-Log', 'Log2', 'Log3G10', 'Log3G12', 'Mi-Log', 'N-Log', 'PLog', 'Panalog', 'ProPhoto RGB', 'Protune', 'REDLog', 'REDLogFilm', 'RIMM RGB', 'ROMM RGB', 'S-Log', 'S-Log2', 'S-Log3', 'SMPTE 240M', 'ST 2084', 'T-Log', 'V-Log', 'ViperLog', 'sRGB']

3.12.36 Recommendation ITU-T H.273 Code points for Video Signal Type Identification

import colour

colour.COLOUR_PRIMARIES_ITUTH273.keys()

dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 22, 23])

import colour

colour.models.describe_video_signal_colour_primaries(1)

=============================================================================== * * * Colour Primaries: 1 * * ------------------- * * * * Primaries : [[ 0.64 0.33] * * [ 0.3 0.6 ] * * [ 0.15 0.06]] * * Whitepoint : [ 0.3127 0.329 ] * * Whitepoint Name : D65 * * NPM : [[ 0.4123908 0.35758434 0.18048079] * * [ 0.21263901 0.71516868 0.07219232] * * [ 0.01933082 0.11919478 0.95053215]] * * NPM -1 : [[ 3.24096994 -1.53738318 -0.49861076] * * [-0.96924364 1.8759675 0.04155506] * * [ 0.05563008 -0.20397696 1.05697151]] * * FFmpeg Constants : ['AVCOL_PRI_BT709', 'BT709'] * * *

import colour

colour.TRANSFER_CHARACTERISTICS_ITUTH273.keys()

dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19])

import colour

colour.models.describe_video_signal_transfer_characteristics(1)

=============================================================================== * * * Transfer Characteristics: 1 * * --------------------------- * * * * Function : <function oetf_BT709 at 0x7f7b918776a0> * * FFmpeg Constants : ['AVCOL_TRC_BT709', 'BT709'] * * *

import colour

colour.MATRIX_COEFFICIENTS_ITUTH273.keys()

dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15])

import colour

colour.models.describe_video_signal_matrix_coefficients(1)

=============================================================================== * * * Matrix Coefficients: 1 * * ---------------------- * * * * Matrix Coefficients : [ 0.2126 0.0722] * * FFmpeg Constants : ['AVCOL_SPC_BT709', 'BT709'] * * *

3.13 Colour Notation Systems - colour.notation

3.13.1 Munsell Value

import colour

colour.munsell_value(12.23634268)

4.08244370765

import colour

sorted(colour.MUNSELL_VALUE_METHODS)

['ASTM D1535', 'Ladd 1955', 'McCamy 1987', 'Moon 1943', 'Munsell 1933', 'Priest 1920', 'Saunderson 1944', 'astm2008']

3.13.2 Munsell Colour

import colour

colour.xyY_to_munsell_colour([0.38736945, 0.35751656, 0.59362000])

4.2YR 8.1/5.3

import colour

colour.munsell_colour_to_xyY("4.2YR 8.1/5.3")

[ 0.38736945 0.35751656 0.59362 ]

import colour

sorted(colour.XYY_TO_MUNSELL_COLOUR_METHODS)

['Centore 2014', 'ONNX']

3.14 Optical Phenomena - colour.phenomena

3.14.1 Rayleigh Scattering

import colour

colour.sd_rayleigh_scattering()

[[ 3.60000000e+02 5.60246579e-01] [ 3.61000000e+02 5.53748137e-01] [ 3.62000000e+02 5.47344692e-01] ... [ 7.80000000e+02 2.35336632e-02]]

3.14.2 CIE Standard General Sky

import colour import numpy as np

Relative luminance for CIE Standard General Sky Type 12 (Clear Sky)

colour.phenomena.sky_luminance_distribution_CIE2003( 12, np.radians(45), np.radians(180), np.radians(30), np.radians(0) )

0.4544524...

import colour import numpy as np

Traditional Overcast Sky (Type 16) at 45 degrees zenith angle

colour.phenomena.sky_luminance_distribution_overcast_CIE2003(np.radians(45))

0.8047378...

3.14.3 Prague Sky Model - Wilkie et al. (2021)

import colour import numpy as np from colour.phenomena.sky.wilkie2021 import ( SkyDataset_Wilkie2021, compute_sky_parameters_Wilkie2021, sky_radiance_Wilkie2021, )

dataset = SkyDataset_Wilkie2021() parameters = compute_sky_parameters_Wilkie2021( view_point=[0, 0, 0], view_direction=[0, 0, 1], sun_elevation=np.radians(30), sun_azimuth=0, visibility=50, albedo=0.5, ) sky_radiance_Wilkie2021(dataset, parameters, np.array([460, 540, 620]))

https://raw.githubusercontent.com/colour-science/colour-branding/master/images/Plotting_Plot_Sky_Colour_Wilkie2021.png

3.14.4 Thin Film Interference

import colour import numpy as np

Soap film (water, n=1.33) interference

R, T = colour.thin_film_tmm( n=[1.0, 1.33, 1.0], # [air, film, air] t=300, # 300 nm thickness wavelength=np.linspace(380, 780, 10), theta=0, # Normal incidence ) print(R[..., 0]) # s-polarisation reflectance

[[[0.01800269]] [[0.03176697]] [[0.0452849 ]] [[0.05812178]] [[0.06940598]] [[0.07834261]] [[0.08446072]] [[0.08770155]] [[0.08842705]] [[0.08732785]]]

3.15 Light Quality - colour.quality

3.15.1 Colour Fidelity Index

import colour

colour.colour_fidelity_index(colour.SDS_ILLUMINANTS["FL2"])

70.1208244014

import colour

sorted(colour.COLOUR_FIDELITY_INDEX_METHODS)

['ANSI/IES TM-30-18', 'CIE 2017']

3.15.2 Colour Quality Scale

import colour

colour.colour_quality_scale(colour.SDS_ILLUMINANTS["FL2"])

64.1118220157

import colour

sorted(colour.COLOUR_QUALITY_SCALE_METHODS)

['NIST CQS 7.4', 'NIST CQS 9.0']

3.15.3 Colour Rendering Index

import colour

colour.colour_rendering_index(colour.SDS_ILLUMINANTS["FL2"])

64.2337241217

import colour

sorted(colour.COLOUR_RENDERING_INDEX_METHODS)

['CIE 1995', 'CIE 2024']

3.15.4 Academy Spectral Similarity Index (SSI)

import colour

colour.spectral_similarity_index( colour.SDS_ILLUMINANTS["C"], colour.SDS_ILLUMINANTS["D65"] )

94.0

3.16 Spectral Up-Sampling & Recovery - colour.recovery

3.16.1 Reflectance Recovery

import colour

colour.XYZ_to_sd([0.20654008, 0.12197225, 0.05136952])

[[ 3.60000000e+02 8.42398617e-02] [ 3.65000000e+02 8.42355431e-02] [ 3.70000000e+02 8.42689564e-02] ... [ 7.80000000e+02 4.46952477e-01]]

import colour

sorted(colour.XYZ_TO_SD_METHODS)

['Gaussian', 'Jakob 2019', 'Mallett 2019', 'Meng 2015', 'Otsu 2018', 'Smits 1999']

import colour

colour.XYZ_to_msds( [ [0.20654008, 0.12197225, 0.05136952], [0.14223761, 0.23042375, 0.10498415], [0.07820260, 0.06157595, 0.28106183], ] ).shape

(3, 421)

import colour

sorted(colour.XYZ_TO_MSDS_METHODS)

['Gaussian', 'Smits 1999']

3.16.2 Camera RGB Sensitivities Recovery

import colour

illuminant = colour.colorimetry.SDS_ILLUMINANTS["D65"] sensitivities = colour.characterisation.MSDS_CAMERA_SENSITIVITIES["Nikon 5100 (NPL)"] reflectances = [ sd.copy().align(colour.recovery.SPECTRAL_SHAPE_BASIS_FUNCTIONS_DYER2017) for sd in colour.SDS_COLOURCHECKERS["BabelColor Average"].values() ] reflectances = colour.colorimetry.sds_and_msds_to_msds(reflectances) RGB = colour.colorimetry.msds_to_XYZ( reflectances, method="Integration", cmfs=sensitivities, illuminant=illuminant, k=0.01, shape=colour.recovery.SPECTRAL_SHAPE_BASIS_FUNCTIONS_DYER2017, ) colour.recovery.RGB_to_msds_camera_sensitivities_Jiang2013( RGB, illuminant, reflectances, colour.recovery.BASIS_FUNCTIONS_DYER2017, colour.recovery.SPECTRAL_SHAPE_BASIS_FUNCTIONS_DYER2017, )

RGB_CameraSensitivities([[ 4.00000000e+02, 7.04378461e-03, 9.21260449e-03, -7.64080878e-03], [ 4.10000000e+02, -8.76715607e-03, 1.12726694e-02, 6.37434190e-03], [ 4.20000000e+02, 4.58126856e-02, 7.18000418e-02, 4.00001696e-01], ... [ 6.80000000e+02, 4.00195568e-02, 5.55512389e-03, 1.36794925e-03], [ 6.90000000e+02, -4.32240535e-03, 2.49731193e-03, 3.80303275e-04], [ 7.00000000e+02, -6.00395414e-03, 1.54678227e-03, 5.40394352e-04]], ['red', 'green', 'blue'], SpragueInterpolator, {}, Extrapolator, {'method': 'Constant', 'left': None, 'right': None})

3.17 Correlated Colour Temperature Computation Methods - colour.temperature

import colour

colour.uv_to_CCT([0.1978, 0.3122])

[ 6.50747479e+03 3.22334634e-03]

import colour

sorted(colour.UV_TO_CCT_METHODS)

['Krystek 1985', 'Ohno 2013', 'Planck 1900', 'Robertson 1968', 'ohno2013', 'robertson1968']

import colour

sorted(colour.XY_TO_CCT_METHODS)

['CIE Illuminant D Series', 'Hernandez 1999', 'Kang 2002', 'McCamy 1992', 'daylight', 'hernandez1999', 'kang2002', 'mccamy1992']

3.18 Colour Volume - colour.volume

import colour

colour.RGB_colourspace_volume_MonteCarlo(colour.RGB_COLOURSPACE_RGB["sRGB"])

821958.30000000005

3.19 Geometry Primitives Generation - colour.geometry

import colour

colour.primitive("Grid")

(array([ ([-0.5, 0.5, 0. ], [ 0., 1.], [ 0., 0., 1.], [ 0., 1., 0., 1.]), ([ 0.5, 0.5, 0. ], [ 1., 1.], [ 0., 0., 1.], [ 1., 1., 0., 1.]), ([-0.5, -0.5, 0. ], [ 0., 0.], [ 0., 0., 1.], [ 0., 0., 0., 1.]), ([ 0.5, -0.5, 0. ], [ 1., 0.], [ 0., 0., 1.], [ 1., 0., 0., 1.])], dtype=[('position', '<f8', (3,)), ('uv', '<f8', (2,)), ('normal', '<f8', (3,)), ('colour', '<f8', (4,))]), array([[0, 2, 1], [2, 3, 1]]), array([[0, 2], [2, 3], [3, 1], [1, 0]]))

import colour

sorted(colour.PRIMITIVE_METHODS)

['Cube', 'Grid']

import colour

colour.primitive_vertices("Quad MPL")

[[ 0. 0. 0.] [ 1. 0. 0.] [ 1. 1. 0.] [ 0. 1. 0.]]

3.20 Plotting - colour.plotting

Most of the objects are available from the colour.plotting namespace:

from colour.plotting import *

colour_style()

3.20.1 Visible Spectrum

from colour.plotting import *

plot_visible_spectrum("CIE 1931 2 Degree Standard Observer")

(<Figure size 640x480 with 1 Axes>, <Axes: title={'center': 'The Visible Spectrum - CIE 1931 2$^\circ$ Standard Observer'}, xlabel='Wavelength lambda\lambdalambda (nm)'>)

https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Visible_Spectrum.png

3.20.2 Spectral Distribution

from colour.plotting import *

plot_single_illuminant_sd("FL1")

(<Figure size 640x480 with 1 Axes>, <Axes: title={'center': 'Illuminant FL1 - CIE 1931 2$^\circ$ Standard Observer'}, xlabel='Wavelength lambda\lambdalambda (nm)', ylabel='Relative Power'>)

https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Illuminant_F1_SD.png

3.20.3 Blackbody

import colour from colour.plotting import *

blackbody_sds = [ colour.sd_blackbody(i, colour.SpectralShape(1, 10001, 10)) for i in range(1000, 15000, 1000) ] plot_multi_sds( blackbody_sds, y_label="W / (sr m$^2$) / m", plot_kwargs={"use_sd_colours": True, "normalise_sd_colours": True}, legend_location="upper right", bounding_box=(0, 1250, 0, 2.5e6), )

(<Figure size 640x480 with 1 Axes>, <Axes: xlabel='Wavelength lambdalambdalambda (nm)', ylabel='W / (sr m$^2$) / m'>)

https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Blackbodies.png

3.20.4 Colour Matching Functions

from colour.plotting import *

plot_single_cmfs( "Stockman & Sharpe 2 Degree Cone Fundamentals", y_label="Sensitivity", bounding_box=(390, 870, 0, 1.1), )

(<Figure size 640x480 with 1 Axes>, <Axes: title={'center': 'Stockman & Sharpe 2$^circ$ Cone Fundamentals - Colour Matching Functions'}, xlabel='Wavelength lambdalambdalambda (nm)', ylabel='Sensitivity'>)

https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Cone_Fundamentals.png

3.20.5 Luminous Efficiency

import colour from colour.plotting import *

sd_mesopic_luminous_efficiency_function = ( colour.sd_mesopic_luminous_efficiency_function(0.2) ) plot_multi_sds( ( sd_mesopic_luminous_efficiency_function, colour.colorimetry.SDS_LEFS_PHOTOPIC["CIE 1924 Photopic Standard Observer"], colour.colorimetry.SDS_LEFS_SCOTOPIC["CIE 1951 Scotopic Standard Observer"], ), y_label="Luminous Efficiency", legend_location="upper right", y_tighten=True, margins=(0, 0, 0, 0.1), )

(<Figure size 640x480 with 1 Axes>, <Axes: xlabel='Wavelength lambdalambdalambda (nm)', ylabel='Luminous Efficiency'>)

https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Luminous_Efficiency.png

3.20.6 Colour Checker

import colour from colour.plotting import *

plot_multi_sds( list(colour.SDS_COLOURCHECKERS["BabelColor Average"].values()), plot_kwargs={ "use_sd_colours": True, }, title=("BabelColor Average - " "Spectral Distributions"), )

(<Figure size 640x480 with 1 Axes>, <Axes: title={'center': 'BabelColor Average - Spectral Distributions'}, xlabel='Wavelength lambdalambdalambda (nm)', ylabel='Spectral Distribution'>)

https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_BabelColor_Average.png

from colour.plotting import *

plot_single_colour_checker("ColorChecker 2005", text_kwargs={"visible": False})

(<Figure size 640x480 with 1 Axes>, <Axes: title={'center': 'ColorChecker 2005'}>)

https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_ColorChecker_2005.png

3.20.7 Chromaticities Prediction

from colour.plotting import *

plot_corresponding_chromaticities_prediction( 2, "Von Kries", {"transform": "Bianco 2010"} )

(<Figure size 640x640 with 1 Axes>, <Axes: title={'center': 'Corresponding Chromaticities Prediction - Von Kries - Experiment 2 - CIE 1976 UCS Chromaticity Diagram'}, xlabel="CIE u'", ylabel="CIE v'">)

https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Chromaticities_Prediction.png

3.20.8 Chromaticities

import numpy as np from colour.plotting import *

RGB = np.random.random((32, 32, 3)) plot_RGB_chromaticities_in_chromaticity_diagram_CIE1931( RGB, "ITU-R BT.709", colourspaces=["ACEScg", "S-Gamut", "Pointer Gamut"], )

(<Figure size 640x640 with 1 Axes>, <Axes: title={'center': 'ACEScg, S-Gamut, ITU-R BT.709\nCIE 1931 2 Degree Standard Observer - CIE 1931 Chromaticity Diagram'}, xlabel='CIE x', ylabel='CIE y'>

https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Chromaticities_CIE_1931_Chromaticity_Diagram.png

3.20.9 Colour Rendering Index Bars

import colour from colour.plotting import *

plot_single_sd_colour_rendering_index_bars(colour.SDS_ILLUMINANTS["FL2"])

(<Figure size 640x640 with 1 Axes>, <Axes: title={'center': 'Colour Rendering Index - FL2'}>)

https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_CRI.png

3.20.10 ANSI/IES TM-30-18 Colour Rendition Report

import colour from colour.plotting import *

plot_single_sd_colour_rendition_report(colour.SDS_ILLUMINANTS["FL2"])

(<Figure size 827x1169 with 13 Axes>, <Axes: >)

https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Colour_Rendition_Report.png

3.20.11 Gamut Section

from colour.plotting import *

plot_visible_spectrum_section(section_colours="RGB", section_opacity=0.15)

(<Figure size 640x640 with 1 Axes>, <Axes: title={'center': 'Visible Spectrum Section - 50.0% - CIE xyY - CIE 1931 2$^\circ$ Standard Observer'}, xlabel='x', ylabel='y'>)

https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Plot_Visible_Spectrum_Section.png

from colour.plotting import *

plot_RGB_colourspace_section("sRGB", section_colours="RGB", section_opacity=0.15)

(<Figure size 640x640 with 1 Axes>, <Axes: title={'center': 'sRGB Section - 50.0% - CIE xyY'}, xlabel='x', ylabel='y'>)

https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Plot_RGB_Colourspace_Section.png

3.20.12 Colour Temperature

from colour.plotting import *

plot_planckian_locus_in_chromaticity_diagram_CIE1960UCS(["A", "B", "C"])

(<Figure size 640x640 with 1 Axes>, <Axes: title={'center': 'A, B, C Illuminants - Planckian Locus\nCIE 1960 UCS Chromaticity Diagram - CIE 1931 2 Degree Standard Observer'}, xlabel='CIE u', ylabel='CIE v'>)

https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_CCT_CIE_1960_UCS_Chromaticity_Diagram.png

3.20.13 Thin Film Interference

from colour.plotting import *

plot_thin_film_iridescence([1.0, 1.33, 1.0])

(<Figure size 640x480 with 1 Axes>, <Axes: title={'center': 'Thin Film Iridescence (n=1.33, θ=0°)'}, xlabel='Thickness (nm)', ylabel=''>)

https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Thin_Film_Iridescence.png

4 User Guide

4.1 Installation

Colour and its primary dependencies can be easily installed from thePython Package Indexby issuing this command in a shell:

$ pip install --user colour-science

The detailed installation procedure for the secondary dependencies is described in the Installation Guide.

Colour is also available for Anacondafrom Continuum Analytics via conda-forge:

$ conda install -c conda-forge colour-science

4.2 Tutorial

The static tutorialprovides an introduction to Colour. An interactive version is available viaGoogle Colab.

4.3 How-To

The Google Colab How-Toguide for Colour shows various techniques to solve specific problems and highlights some interesting use cases.

4.4 Contributing

If you would like to contribute to Colour, please refer to the followingContributing guide.

4.5 Changes

The changes are viewable on the Releases page.

4.6 Bibliography

The bibliography is available on the Bibliography page.

It is also viewable directly from the repository inBibTeXformat.

5 API Reference

The main technical reference for Colour is the API Reference:

6 See Also

6.1 Software

Python

Go

.NET

Julia

Matlab & Octave

7 Code of Conduct

The Code of Conduct, adapted from the Contributor Covenant 1.4, is available on the Code of Conduct page.

8 Contact & Social

The Colour Developers can be reached via different means:

9 Thank You!

Coffee Sponsors

Anonymous Cedric Lejeune

10 About

Colour by Colour Developers