colour

Colour Science for Python

1407

192

Python

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Colour <https://github.com/colour-science/colour>__ is an open-source
Python <https://www.python.org>__ package providing a comprehensive number
of algorithms and datasets for colour science.

It is freely available under the
BSD-3-Clause <https://opensource.org/licenses/BSD-3-Clause>__ terms.

Colour is an affiliated project of NumFOCUS <https://numfocus.org>__, a
501©(3) nonprofit in the United States.

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Draft Release Notes

The draft release notes of the
develop <https://github.com/colour-science/colour/tree/develop>__
branch are available at this
url <https://gist.github.com/KelSolaar/4a6ebe9ec3d389f0934b154fec8df51d>__.

Features

Most of the objects are available from the colour namespace:

… code-block:: python

import colour

Automatic Colour Conversion Graph - colour.graph


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

.. code-block:: python

    import colour

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

.. code-block:: text

    ===============================================================================
    *                                                                             *
    *   [ Conversion Path ]                                                       *
    *                                                                             *
    *   "sd_to_XYZ" --> "XYZ_to_sRGB"                                             *
    *                                                                             *
    ===============================================================================
    [ 0.49034776  0.30185875  0.23587685]

.. code-block:: python

    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},
    )

.. code-block:: text

    [ 0.47924575  0.31676968  0.17362725]

Chromatic Adaptation - ``colour.adaptation``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code-block:: python

    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))

.. code-block:: text

    [ 0.25331034  0.13765286  0.01543185]

.. code-block:: python

    import colour

    sorted(colour.CHROMATIC_ADAPTATION_METHODS)

.. code-block:: text

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

Algebra - ``colour.algebra``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Kernel Interpolation
********************

.. code-block:: python

    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])

.. code-block:: text

    [  6.18062083   8.08238488  57.85783403]

Sprague (1880) Interpolation
****************************

.. code-block:: python

    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])

.. code-block:: text

    [  6.72951612   7.81406251  43.77379185]

Colour Appearance Models - ``colour.appearance``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code-block:: python

    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)

.. code-block:: text

    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)

.. code-block:: python

    import colour

    colour.XYZ_to_CIECAM16(XYZ, XYZ_w, L_A, Y_b)

.. code-block:: text

    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)

.. code-block:: python

    import colour

    colour.XYZ_to_CAM16(XYZ, XYZ_w, L_A, Y_b)

.. code-block:: text

    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)

.. code-block:: python

    import colour

    colour.XYZ_to_Hellwig2022(XYZ, XYZ_w, L_A, Y_b)

.. code-block:: text

    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)

.. code-block:: python

    import colour

    colour.XYZ_to_Kim2009(XYZ, XYZ_w, L_A)

.. code-block:: text

    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)

.. code-block:: python

    import colour

    colour.XYZ_to_ZCAM(XYZ, XYZ_w, L_A, Y_b)

.. code-block:: text

    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)

Colour Blindness - ``colour.blindness``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code-block:: python

    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]

.. code-block:: text

    [ 0.08912884  0.0870524   0.955393  ]

.. code-block:: python

    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)

.. code-block:: text

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

Colour Correction - ``colour characterisation``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code-block:: python

    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)

.. code-block:: text

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

.. code-block:: python

    import colour

    sorted(colour.COLOUR_CORRECTION_METHODS)

.. code-block:: text

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

ACES Input Transform - ``colour characterisation``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code-block:: python

    import colour

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

.. code-block:: text

    (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]))

Colorimetry - ``colour.colorimetry``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Spectral Computations
*********************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 36.94726204  32.62076174  13.0143849 ]

.. code-block:: python

    import colour

    sorted(colour.SD_TO_XYZ_METHODS)

.. code-block:: text

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

Multi-Spectral Computations
***************************

.. code-block:: python

    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),
    )

.. code-block:: text

    [[[  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]]]

.. code-block:: python

    import colour

    sorted(colour.MSDS_TO_XYZ_METHODS)

.. code-block:: text

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

Blackbody Spectral Radiance Computation
***************************************

.. code-block:: python

    import colour

    colour.sd_blackbody(5000)

.. code-block:: text

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

Dominant, Complementary Wavelength & Colour Purity Computation
**************************************************************

.. code-block:: python

    import colour

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

.. code-block:: text

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

Lightness Computation
*********************

.. code-block:: python

    import colour

    colour.lightness(12.19722535)

.. code-block:: text

    41.5278758447

.. code-block:: python

    import colour

    sorted(colour.LIGHTNESS_METHODS)

.. code-block:: text

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

Luminance Computation
*********************

.. code-block:: python

    import colour

    colour.luminance(41.52787585)

.. code-block:: text

    12.1972253534

.. code-block:: python

    import colour

    sorted(colour.LUMINANCE_METHODS)

.. code-block:: text

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

Whiteness Computation
*********************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 93.756       -1.33000001]

.. code-block:: python

    import colour

    sorted(colour.WHITENESS_METHODS)

.. code-block:: text

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

Yellowness Computation
**********************

.. code-block:: python

    import colour

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

.. code-block:: text

    4.34

.. code-block:: python

    import colour

    sorted(colour.YELLOWNESS_METHODS)

.. code-block:: text

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

Luminous Flux, Efficiency & Efficacy Computation
************************************************

.. code-block:: python

    import colour

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

.. code-block:: text

    23807.6555274

.. code-block:: python

    import colour

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

.. code-block:: text

    0.199439356245

.. code-block:: python

    import colour

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

.. code-block:: text

    136.217080315

Contrast Sensitivity Function - ``colour.contrast``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code-block:: python

    import colour

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

.. code-block:: text

    358.511807899

.. code-block:: python

    import colour

    sorted(colour.CONTRAST_SENSITIVITY_METHODS)

.. code-block:: text

    ['Barten 1999']

Colour Difference - ``colour.difference``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code-block:: python

    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)

.. code-block:: text

    94.0356490267

.. code-block:: python

    import colour

    sorted(colour.DELTA_E_METHODS)

.. code-block:: text

    ['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']

IO - ``colour.io``
~~~~~~~~~~~~~~~~~~

Images
******

.. code-block:: python

    import colour

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

.. code-block:: text

    (276, 281, 3)

Spectral Images - Fichet et al. (2021)
**************************************

.. code-block:: python

    import colour

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

.. code-block:: text

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

Look Up Table (LUT) Data
************************

.. code-block:: python

    import colour

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

.. code-block:: text

    LUT3x1D - ACES Proxy 10 to ACES
    -------------------------------
    Dimensions : 2
    Domain     : [[0 0 0]
                  [1 1 1]]
    Size       : (32, 3)

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.00575674,  0.00181493,  0.00121419]

Colour Models - ``colour.models``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

CIE xyY Colourspace
*******************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.54369557  0.32107944  0.12197225]

CIE L*a*b* Colourspace
**********************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 41.52787529  52.63858304  26.92317922]

CIE L*u*v* Colourspace
**********************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 41.52787529  96.83626054  17.75210149]

CIE 1960 UCS Colourspace
************************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.13769339  0.12197225  0.1053731 ]

CIE 1964 U*V*W* Colourspace
***************************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 94.55035725  11.55536523  40.54757405]

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

.. code-block:: python

    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)

.. code-block:: text

    [ 47.16899898  38.72623785  15.8663383 ]

.. code-block:: python

    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)

.. code-block:: text

    [ 47.16899898  38.72623785  15.8663383 ]

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

.. code-block:: python

    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)

.. code-block:: text

    [ 46.55542238  40.22460974  14.25288392]

.. code-block:: python

    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)

.. code-block:: text

    [ 46.55542238  40.22460974  14.25288392]

DIN99 Colourspace and DIN99b, DIN99c, DIN99d Refined Formulas
*************************************************************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 53.22821988  28.41634656   3.89839552]

ICaCb Colourspace
******************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.06875297  0.05753352  0.02081548]

IgPgTg Colourspace
******************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.42421258  0.18632491  0.10689223]

IPT Colourspace
***************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.38426191  0.38487306  0.18886838]

Jzazbz Colourspace
******************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.00535048  0.00924302  0.00526007]

Hunter L,a,b Colour Scale
*************************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 34.92452577  47.06189858  14.38615107]

Hunter Rd,a,b Colour Scale
**************************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 12.197225    57.12537874  17.46241341]

Oklab Colourspace
*****************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.51634019  0.154695    0.06289579]

OSA UCS Colourspace
*******************

.. code-block:: python

    import colour

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

.. code-block:: text

    [-3.0049979   2.99713697 -9.66784231]

ProLab Colourspace
******************

.. code-block:: python

    import colour

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

.. code-block:: text

    [  59.8466286   115.0396354    20.12510352]

Ragoo and Farup (2021) Optimised IPT Colourspace
************************************************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.42248243  0.2910514   0.20410663]

Yrg Colourspace - Kirk (2019)
*****************************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.13137801  0.49037645  0.37777388]

hdr-CIELAB Colourspace
**********************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 51.87002062  60.4763385  32.14551912]

hdr-IPT Colourspace
*******************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 25.18261761 -22.62111297  3.18511729]

Y'CbCr Colour Encoding
**********************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.92156863  0.50196078  0.50196078]

YCoCg Colour Encoding
*********************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.5625  0.375   0.1875]

ICtCp Colour Encoding
*********************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.07351364  0.00475253  0.09351596]

HSV Colourspace
***************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.99603944  0.93246304  0.45620519]

IHLS Colourspace
****************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 6.26236117  0.12197943  0.42539448]

Prismatic Colourspace
*********************

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.75        0.16666667  0.33333333  0.5       ]

RGB Colourspace and Transformations
***********************************

.. code-block:: python

    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,
    )

.. code-block:: text

    [ 0.45595571  0.03039702  0.04087245]

RGB Colourspace Derivation
**************************

.. code-block:: python

    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)

.. code-block:: text

    [[  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]]

RGB Colourspaces
****************

.. code-block:: python

    import colour

    sorted(colour.RGB_COLOURSPACES)

.. code-block:: text

    ['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']

OETFs
*****

.. code-block:: python

    import colour

    sorted(colour.OETFS)

.. code-block:: text

    ['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']

EOTFs
*****

.. code-block:: python

    import colour

    sorted(colour.EOTFS)

.. code-block:: text

    ['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']

OOTFs
*****

.. code-block:: python

    import colour

    sorted(colour.OOTFS)

.. code-block:: text

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

Log Encoding / Decoding
***********************

.. code-block:: python

    import colour

    sorted(colour.LOG_ENCODINGS)

.. code-block:: text

    ['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', 'N-Log', 'PLog', 'Panalog', 'Protune', 'REDLog', 'REDLogFilm', 'S-Log', 'S-Log2', 'S-Log3', 'T-Log', 'V-Log', 'ViperLog']

CCTFs Encoding / Decoding
*************************

.. code-block:: python

    import colour

    sorted(colour.CCTF_ENCODINGS)

.. code-block:: text

    ['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', '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']

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

.. code-block:: python

    import colour

    colour.COLOUR_PRIMARIES_ITUTH273.keys()

.. code-block:: text

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

.. code-block:: python

    import colour

    colour.models.describe_video_signal_colour_primaries(1)

.. code-block:: text

    ===============================================================================
    *                                                                             *
    *   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']                           *
    *                                                                             *
    ===============================================================================

.. code-block:: python

    import colour

    colour.TRANSFER_CHARACTERISTICS_ITUTH273.keys()

.. code-block:: text

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

.. code-block:: python

    import colour

    colour.models.describe_video_signal_transfer_characteristics(1)

.. code-block:: text

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

.. code-block:: python

    import colour

    colour.MATRIX_COEFFICIENTS_ITUTH273.keys()

.. code-block:: text

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

.. code-block:: python

    import colour

    colour.models.describe_video_signal_matrix_coefficients(1)

.. code-block:: text

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

Colour Notation Systems - ``colour.notation``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Munsell Value
*************

.. code-block:: python

    import colour

    colour.munsell_value(12.23634268)

.. code-block:: text

    4.08244370765

.. code-block:: python

    import colour

    sorted(colour.MUNSELL_VALUE_METHODS)

.. code-block:: text

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

Munsell Colour
**************

.. code-block:: python

    import colour

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

.. code-block:: text

    4.2YR 8.1/5.3

.. code-block:: python

    import colour

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

.. code-block:: text

    [ 0.38736945  0.35751656  0.59362   ]

Optical Phenomena - ``colour.phenomena``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code-block:: python

    import colour

    colour.sd_rayleigh_scattering()

.. code-block:: text

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

Light Quality - ``colour.quality``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Colour Fidelity Index
*********************

.. code-block:: python

    import colour

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

.. code-block:: text

    70.1208244014

.. code-block:: python

    import colour

    sorted(colour.COLOUR_FIDELITY_INDEX_METHODS)

.. code-block:: text

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

Colour Quality Scale
********************

.. code-block:: python

    import colour

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

.. code-block:: text

    64.1118220157

.. code-block:: python

    import colour

    sorted(colour.COLOUR_QUALITY_SCALE_METHODS)

.. code-block:: text

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

Colour Rendering Index
**********************

.. code-block:: python

    import colour

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

.. code-block:: text

    64.2337241217

.. code-block:: python

    import colour

    sorted(colour.COLOUR_RENDERING_INDEX_METHODS)

.. code-block:: text

    ['CIE 1995', 'CIE 2024']

Academy Spectral Similarity Index (SSI)
***************************************

.. code-block:: python

    import colour

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

.. code-block:: text

    94.0

Spectral Up-Sampling & Recovery - ``colour.recovery``

Reflectance Recovery

… code-block:: python

import colour

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

… code-block:: text

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

… code-block:: python

import colour

sorted(colour.XYZ_TO_SD_METHODS)

… code-block:: text

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

Camera RGB Sensitivities Recovery

… code-block:: python

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,
)

… code-block:: text

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})

Correlated Colour Temperature Computation Methods - colour.temperature


.. code-block:: python

    import colour

    colour.uv_to_CCT([0.1978, 0.3122])

.. code-block:: text

    [  6.50747479e+03   3.22334634e-03]

.. code-block:: python

    import colour

    sorted(colour.UV_TO_CCT_METHODS)

.. code-block:: text

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

.. code-block:: python

    import colour

    sorted(colour.XY_TO_CCT_METHODS)

.. code-block:: text

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

Colour Volume - ``colour.volume``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code-block:: python

    import colour

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

.. code-block:: text

    821958.30000000005

Geometry Primitives Generation - ``colour.geometry``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code-block:: python

    import colour

    colour.primitive("Grid")

.. code-block:: text

    (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]]))

.. code-block:: python

    import colour

    sorted(colour.PRIMITIVE_METHODS)

.. code-block:: text

    ['Cube', 'Grid']

.. code-block:: python

    import colour

    colour.primitive_vertices("Quad MPL")

.. code-block:: text

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

Plotting - ``colour.plotting``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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

.. code-block:: python

    from colour.plotting import *

    colour_style()

Visible Spectrum
****************

.. code-block:: python

    from colour.plotting import *

    plot_visible_spectrum("CIE 1931 2 Degree Standard Observer")

.. code-block:: text

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

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

Spectral Distribution
*********************

.. code-block:: python

    from colour.plotting import *

    plot_single_illuminant_sd("FL1")

.. code-block:: text

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

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

Blackbody
*********

.. code-block:: python

    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),
    )

.. code-block:: text

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

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

Colour Matching Functions
*************************

.. code-block:: python

    from colour.plotting import *

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

.. code-block:: text

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

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

Luminous Efficiency
*******************

.. code-block:: python

    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),
    )

.. code-block:: text

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

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

Colour Checker
**************

.. code-block:: python

    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"),
    )

.. code-block:: text

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

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

.. code-block:: python

    from colour.plotting import *

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

.. code-block:: text

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

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

Chromaticities Prediction
*************************

.. code-block:: python

    from colour.plotting import *

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

.. code-block:: text

    (<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'">)

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

Chromaticities
**************

.. code-block:: python

    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"],
    )

.. code-block:: text

    (<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'>

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

Colour Rendering Index Bars
***************************

.. code-block:: python

    import colour
    from colour.plotting import *

    plot_single_sd_colour_rendering_index_bars(colour.SDS_ILLUMINANTS["FL2"])

.. code-block:: text

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

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

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

.. code-block:: python

    import colour
    from colour.plotting import *

    plot_single_sd_colour_rendition_report(colour.SDS_ILLUMINANTS["FL2"])

.. code-block:: text

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

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

Gamut Section
*************

.. code-block:: python

    from colour.plotting import *

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

.. code-block:: text

    (<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'>)

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

.. code-block:: python

    from colour.plotting import *

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

.. code-block:: text

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

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

Colour Temperature
******************

.. code-block:: python

    from colour.plotting import *

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

.. code-block:: text

    (<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'>)

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

User Guide
----------

Installation
~~~~~~~~~~~~

**Colour** and its primary dependencies can be easily installed from the
`Python Package Index <https://pypi.org/project/colour-science>`__
by issuing this command in a shell:

.. code-block:: bash

    $ pip install --user colour-science

The detailed installation procedure for the secondary dependencies is
described in the `Installation Guide <https://www.colour-science.org/installation-guide>`__.

**Colour** is also available for `Anaconda <https://www.anaconda.com/download>`__
from *Continuum Analytics* via `conda-forge <https://conda-forge.org>`__:

.. code-block:: bash

    $ conda install -c conda-forge colour-science

Tutorial
~~~~~~~~

The `static tutorial <https://colour.readthedocs.io/en/develop/tutorial.html>`__
provides an introduction to **Colour**. An interactive version is available via
`Google Colab <https://colab.research.google.com/notebook#fileId=1Im9J7or9qyClQCv5sPHmKdyiQbG4898K&offline=true&sandboxMode=true>`__.

How-To
~~~~~~

The `Google Colab How-To <https://colab.research.google.com/notebook#fileId=1NRcdXSCshivkwoU2nieCvC3y14fx1X4X&offline=true&sandboxMode=true>`__
guide for **Colour** shows various techniques to solve specific problems and
highlights some interesting use cases.

Contributing
~~~~~~~~~~~~

If you would like to contribute to **Colour**, please refer to the following
`Contributing <https://www.colour-science.org/contributing>`__ guide.

Changes
~~~~~~~

The changes are viewable on the `Releases <https://github.com/colour-science/colour/releases>`__ page.

Bibliography
~~~~~~~~~~~~

The bibliography is available on the `Bibliography <https://www.colour-science.org/bibliography>`__ page.

It is also viewable directly from the repository in
`BibTeX <https://github.com/colour-science/colour/blob/develop/BIBLIOGRAPHY.bib>`__
format.

API Reference
-------------

The main technical reference for **Colour** is the *API Reference*:

- `Release <https://colour.readthedocs.io/en/master/reference.html>`__
- `Develop <https://colour.readthedocs.io/en/latest/reference.html>`__

See Also
--------

Software
~~~~~~~~

**Python**

- `ColorAide <https://facelessuser.github.io/coloraide>`__ by Muse, I.
- `ColorPy <http://markkness.net/colorpy/ColorPy.html>`__ by Kness, M.
- `Colorspacious <https://colorspacious.readthedocs.io>`__ by Smith, N. J., et al.
- `python-colormath <https://python-colormath.readthedocs.io>`__ by Taylor, G., et al.

**Go**

- `go-colorful <https://github.com/lucasb-eyer/go-colorful>`__  by Beyer, L., et al.

**.NET**

- `Colourful <https://github.com/tompazourek/Colourful>`__ by Pažourek, T., et al.

**Julia**

- `Colors.jl <https://github.com/JuliaGraphics/Colors.jl>`__ by Holy, T., et al.

**Matlab & Octave**

- `COLORLAB <https://www.uv.es/vista/vistavalencia/software/colorlab.html>`__ by Malo, J., et al.
- `Psychtoolbox <http://psychtoolbox.org>`__ by Brainard, D., et al.
- `The Munsell and Kubelka-Munk Toolbox <http://www.munsellcolourscienceforpainters.com/MunsellAndKubelkaMunkToolbox/MunsellAndKubelkaMunkToolbox.html>`__ by Centore, P.

Code of Conduct
---------------

The *Code of Conduct*, adapted from the `Contributor Covenant 1.4 <https://www.contributor-covenant.org/version/1/4/code-of-conduct.html>`__,
is available on the `Code of Conduct <https://www.colour-science.org/code-of-conduct>`__ page.

Contact & Social
----------------

The *Colour Developers* can be reached via different means:

- `Email <mailto:[email protected]>`__
- `Facebook <https://www.facebook.com/python.colour.science>`__
- `Github Discussions <https://github.com/colour-science/colour/discussions>`__
- `Gitter <https://gitter.im/colour-science/colour>`__
- `X <https://x.com/colour_science>`__
- `Bluesky <https://bsky.app/profile/colour-science.bsky.social>`__

.. begin-trim-long-description

Thank You!
----------

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.. end-trim-long-description

About
-----

| **Colour** by Colour Developers
| Copyright 2013 Colour Developers – `[email protected] <[email protected]>`__
| This software is released under terms of BSD-3-Clause: https://opensource.org/licenses/BSD-3-Clause
| `https://github.com/colour-science/colour <https://github.com/colour-science/colour>`__