colour.plotting Package¶
Sub-Packages¶
Sub-Modules¶
- colour.plotting.characterisation Module
- colour.plotting.colorimetry Module
- colour.plotting.common Module
- colour.plotting.corresponding Module
- colour.plotting.diagrams Module
- colour.plotting.geometry Module
- colour.plotting.models Module
- colour.plotting.notation Module
- colour.plotting.phenomenon Module
- colour.plotting.quality Module
- colour.plotting.temperature Module
- colour.plotting.volume Module
Module Contents¶
-
colour.plotting.
DEFAULT_PLOTTING_ENCODING_CCTF
(L)¶ Defines the sRGB colourspace opto-electronic transfer function (OETF / OECF).
Parameters: L (numeric or array_like) – Luminance \(L\) of the image. Returns: Corresponding electrical signal \(V\). Return type: numeric or ndarray Examples
>>> oetf_sRGB(0.18) 0.4613561...
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colour.plotting.
colour_plotting_defaults
(parameters=None)[source]¶ Enables Colour default plotting parameters.
Parameters: parameters (dict, optional) – Parameters to use for plotting. Returns: Definition success. Return type: bool
-
class
colour.plotting.
ColourParameter
[source]¶ Bases:
colour.plotting.common.ColourParameter
Defines a data structure for plotting a colour polygon in various spectral figures.
Parameters: - name (unicode, optional) – Colour name.
- RGB (array_like, optional) – RGB Colour.
- x (numeric, optional) – X data.
- y0 (numeric, optional) – Y0 data.
- y1 (numeric, optional) – Y1 data.
Returns a new instance of the
ColourParameter
class.
-
colour.plotting.
colour_cycle
(**kwargs)[source]¶ Returns a colour cycle iterator using given colour map.
Other Parameters: - colour_cycle_map (unicode, optional) – Matplotlib colourmap name.
- colour_cycle_count (int, optional) – Colours count to pick in the colourmap.
Returns: Colour cycle iterator.
Return type: cycle
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colour.plotting.
canvas
(**kwargs)[source]¶ Sets the figure size.
Other Parameters: figure_size (array_like, optional) – Array defining figure width and height such as figure_size = (width, height). Returns: Current figure. Return type: Figure
-
colour.plotting.
camera
(**kwargs)[source]¶ Sets the camera settings.
Other Parameters: - camera_aspect (unicode, optional) – Matplotlib axes aspect. Default is equal.
- elevation (numeric, optional) – Camera elevation.
- azimuth (numeric, optional) – Camera azimuth.
Returns: Current axes.
Return type: Axes
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colour.plotting.
decorate
(**kwargs)[source]¶ Sets the figure decorations.
Other Parameters: - title (unicode, optional) – Figure title.
- x_label (unicode, optional) – X axis label.
- y_label (unicode, optional) – Y axis label.
- legend (bool, optional) – Whether to display the legend. Default is False.
- legend_columns (int, optional) – Number of columns in the legend. Default is 1.
- legend_location (unicode, optional) – Matplotlib legend location. Default is upper right.
- x_ticker (bool, optional) – Whether to display the X axis ticker. Default is True.
- y_ticker (bool, optional) – Whether to display the Y axis ticker. Default is True.
- x_ticker_locator (Locator, optional) – Locator type for the X axis ticker.
- y_ticker_locator (Locator, optional) – Locator type for the Y axis ticker.
- grid (bool, optional) – Whether to display the grid. Default is False.
- grid_which (unicode, optional) – Controls whether major tick grids, minor tick grids, or both are affected. Default is both.
- grid_axis (unicode, optional) – Controls which set of grid-lines are drawn. Default is both.
- x_axis_line (bool, optional) – Whether to draw the X axis line. Default is False.
- y_axis_line (bool, optional) – Whether to draw the Y axis line. Default is False.
- aspect (unicode, optional) – Matplotlib axes aspect.
- no_axes (bool, optional) – Whether to turn off the axes. Default is False.
Returns: Current axes.
Return type: Axes
-
colour.plotting.
boundaries
(**kwargs)[source]¶ Sets the plot boundaries.
Other Parameters: - bounding_box (array_like, optional) – Array defining current axes limits such bounding_box = (x min, x max, y min, y max).
- x_tighten (bool, optional) – Whether to tighten the X axis limit. Default is False.
- y_tighten (bool, optional) – Whether to tighten the Y axis limit. Default is False.
- limits (array_like, optional) – Array defining current axes limits such as limits = (x limit min, x limit max, y limit min, y limit max). limits argument values are added to the margins argument values to define the final bounding box for the current axes.
- margins (array_like, optional) – Array defining current axes margins such as margins = (x margin min, x margin max, y margin min, y margin max). margins argument values are added to the limits argument values to define the final bounding box for the current axes.
Returns: Current axes.
Return type: Axes
-
colour.plotting.
display
(**kwargs)[source]¶ Sets the figure display.
Other Parameters: - standalone (bool, optional) – Whether to show the figure.
- filename (unicode, optional) – Figure will be saved using given filename argument.
Returns: Current figure or None.
Return type: Figure
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colour.plotting.
label_rectangles
(rectangles, rotation='vertical', text_size=10, offset=None)[source]¶ Add labels above given rectangles.
Parameters: - rectangles (object) – Rectangles to used to set the labels value and position.
- rotation (unicode, optional) – {‘horizontal’, ‘vertical’}, Labels orientation.
- text_size (numeric, optional) – Labels text size.
- offset (array_like, optional) – Labels offset as percentages of the largest rectangle dimensions.
Returns: Definition success.
Return type:
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colour.plotting.
equal_axes3d
(axes)[source]¶ Sets equal aspect ratio to given 3d axes.
Parameters: axes (object) – Axis to set the equal aspect ratio. Returns: Definition success. Return type: bool
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colour.plotting.
get_RGB_colourspace
(colourspace)[source]¶ Returns the RGB colourspace with given name.
Parameters: colourspace (unicode) – RGB colourspace name. Returns: RGB colourspace. Return type: RGB_Colourspace Raises: KeyError
– If the given RGB colourspace is not found in the factory RGB colourspaces.
-
colour.plotting.
get_cmfs
(cmfs)[source]¶ Returns the colour matching functions with given name.
Parameters: cmfs (unicode) – Colour matching functions name. Returns: Colour matching functions. Return type: RGB_ColourMatchingFunctions or XYZ_ColourMatchingFunctions Raises: KeyError
– If the given colour matching functions is not found in the factory colour matching functions.
-
colour.plotting.
get_illuminant
(illuminant)[source]¶ Returns the illuminant with given name.
Parameters: illuminant (unicode) – Illuminant name. Returns: Illuminant. Return type: SpectralPowerDistribution Raises: KeyError
– If the given illuminant is not found in the factory illuminants.
-
colour.plotting.
colour_parameters_plot
(colour_parameters, y0_plot=True, y1_plot=True, **kwargs)[source]¶ Plots given colour colour parameters.
Parameters: Other Parameters: **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None.
Return type: Figure
Examples
>>> cp1 = ColourParameter( ... x=390, RGB=[0.03009021, 0, 0.12300545]) >>> cp2 = ColourParameter( ... x=391, RGB=[0.03434063, 0, 0.13328537], y0=0, y1=0.25) >>> cp3 = ColourParameter( ... x=392, RGB=[0.03826312, 0, 0.14276247], y0=0, y1=0.35) >>> cp4 = ColourParameter( ... x=393, RGB=[0.04191844, 0, 0.15158707], y0=0, y1=0.05) >>> cp5 = ColourParameter( ... x=394, RGB=[0.04535085, 0, 0.15986838], y0=0, y1=-.25) >>> colour_parameters_plot( ... [cp1, cp2, cp3, cp3, cp4, cp5])
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colour.plotting.
single_colour_plot
(colour_parameter, **kwargs)[source]¶ Plots given colour.
Parameters: colour_parameter (ColourParameter) – ColourParameter.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - width (numeric, optional) – {
multi_colour_plot()
}, Colour polygon width. - height (numeric, optional) – {
multi_colour_plot()
}, Colour polygon height. - spacing (numeric, optional) – {
multi_colour_plot()
}, Colour polygons spacing. - across (int, optional) – {
multi_colour_plot()
}, Colour polygons count per row. - text_display (bool, optional) – {
multi_colour_plot()
}, Display colour text. - text_size (numeric, optional) – {
multi_colour_plot()
}, Colour text size. - text_offset (numeric, optional) – {
multi_colour_plot()
}, Colour text offset.
Returns: Current figure or None.
Return type: Figure
Examples
>>> RGB = (0.32315746, 0.32983556, 0.33640183) >>> single_colour_plot(ColourParameter(RGB))
- **kwargs (dict, optional) – {
-
colour.plotting.
multi_colour_plot
(colour_parameters, width=1, height=1, spacing=0, across=3, text_display=True, text_size='large', text_offset=0.075, background_colour=(1.0, 1.0, 1.0), **kwargs)[source]¶ Plots given colours.
Parameters: - colour_parameters (list) – ColourParameter sequence.
- width (numeric, optional) – Colour polygon width.
- height (numeric, optional) – Colour polygon height.
- spacing (numeric, optional) – Colour polygons spacing.
- across (int, optional) – Colour polygons count per row.
- text_display (bool, optional) – Display colour text.
- text_size (numeric, optional) – Colour text size.
- text_offset (numeric, optional) – Colour text offset.
- background_colour (array_like or unicode, optional) – Background colour.
Other Parameters: **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None.
Return type: Figure
Examples
>>> cp1 = ColourParameter(RGB=(0.45293517, 0.31732158, 0.26414773)) >>> cp2 = ColourParameter(RGB=(0.77875824, 0.57726450, 0.50453169)) >>> multi_colour_plot([cp1, cp2])
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colour.plotting.
image_plot
(image, label=None, label_size=15, label_colour=None, label_alpha=0.85, interpolation='nearest', colour_map=<Mock name='mock.cm.Greys_r' id='140395182810832'>, **kwargs)[source]¶ Plots given image.
Parameters: - image (array_like) – Image to plot.
- label (unicode, optional) – Image label.
- label_size (int, optional) – Image label font size.
- label_colour (array_like or unicode, optional) – Image label colour.
- label_alpha (numeric, optional) – Image label alpha.
- interpolation (unicode, optional) – {‘nearest’, None, ‘none’, ‘bilinear’, ‘bicubic’, ‘spline16’, ‘spline36’, ‘hanning’, ‘hamming’, ‘hermite’, ‘kaiser’, ‘quadric’, ‘catrom’, ‘gaussian’, ‘bessel’, ‘mitchell’, ‘sinc’, ‘lanczos’} Image display interpolation.
- colour_map (unicode, optional) – Colour map used to display single channel images.
Other Parameters: **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None.
Return type: Figure
Examples
>>> import os >>> from colour import read_image >>> path = os.path.join( ... 'resources', ... ('CIE_1931_Chromaticity_Diagram' ... '_CIE_1931_2_Degree_Standard_Observer.png')) >>> image = read_image(path) >>> image_plot(image)
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colour.plotting.
single_spd_plot
(spd, cmfs='CIE 1931 2 Degree Standard Observer', out_of_gamut_clipping=True, **kwargs)[source]¶ Plots given spectral power distribution.
Parameters: - spd (SpectralPowerDistribution) – Spectral power distribution to plot.
- out_of_gamut_clipping (bool, optional) – Whether to clip out of gamut colours otherwise, the colours will be offset by the absolute minimal colour leading to a rendering on gray background, less saturated and smoother. [1]_
- cmfs (unicode) – Standard observer colour matching functions used for spectrum creation.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - y0_plot (bool, optional) – {
colour_parameters_plot()
}, Whether to plot y0 line. - y1_plot (bool, optional) – {
colour_parameters_plot()
}, Whether to plot y1 line.
Returns: Current figure or None.
Return type: Figure
Examples
>>> from colour import SpectralPowerDistribution >>> data = {400: 0.0641, 420: 0.0645, 440: 0.0562} >>> spd = SpectralPowerDistribution('Custom', data) >>> single_spd_plot(spd)
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colour.plotting.
multi_spd_plot
(spds, cmfs='CIE 1931 2 Degree Standard Observer', use_spds_colours=False, normalise_spds_colours=False, **kwargs)[source]¶ Plots given spectral power distributions.
Parameters: - spds (list) – Spectral power distributions to plot.
- cmfs (unicode, optional) – Standard observer colour matching functions used for spectrum creation.
- use_spds_colours (bool, optional) – Whether to use spectral power distributions colours.
- normalise_spds_colours (bool) – Whether to normalise spectral power distributions colours.
Other Parameters: **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None.
Return type: Figure
Examples
>>> from colour import SpectralPowerDistribution >>> data1 = {400: 0.0641, 420: 0.0645, 440: 0.0562} >>> data2 = {400: 0.134, 420: 0.789, 440: 1.289} >>> spd1 = SpectralPowerDistribution('Custom1', data1) >>> spd2 = SpectralPowerDistribution('Custom2', data2) >>> multi_spd_plot([spd1, spd2])
-
colour.plotting.
single_cmfs_plot
(cmfs='CIE 1931 2 Degree Standard Observer', **kwargs)[source]¶ Plots given colour matching functions.
Parameters: cmfs (unicode, optional) – Colour matching functions to plot. Other Parameters: **kwargs (dict, optional) – { boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None. Return type: Figure Examples
>>> single_cmfs_plot()
-
colour.plotting.
multi_cmfs_plot
(cmfs=None, **kwargs)[source]¶ Plots given colour matching functions.
Parameters: cmfs (array_like, optional) – Colour matching functions to plot. Other Parameters: **kwargs (dict, optional) – { boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None. Return type: Figure Examples
>>> cmfs = [ ... 'CIE 1931 2 Degree Standard Observer', ... 'CIE 1964 10 Degree Standard Observer'] >>> multi_cmfs_plot(cmfs)
-
colour.plotting.
single_illuminant_relative_spd_plot
(illuminant='A', cmfs='CIE 1931 2 Degree Standard Observer', **kwargs)[source]¶ Plots given single illuminant relative spectral power distribution.
Parameters: - illuminant (unicode, optional) – Factory illuminant to plot.
- cmfs (unicode, optional) – Standard observer colour matching functions to plot.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - out_of_gamut_clipping (bool, optional) – {
single_spd_plot()
}, Whether to clip out of gamut colours otherwise, the colours will be offset by the absolute minimal colour leading to a rendering on gray background, less saturated and smoother. [1]_
Returns: Current figure or None.
Return type: Figure
Examples
>>> single_illuminant_relative_spd_plot()
-
colour.plotting.
multi_illuminants_relative_spd_plot
(illuminants=None, **kwargs)[source]¶ Plots given illuminants relative spectral power distributions.
Parameters: illuminants (array_like, optional) – Factory illuminants to plot.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - use_spds_colours (bool, optional) – {
multi_spd_plot()
} Whether to use spectral power distributions colours. - normalise_spds_colours (bool) – {
multi_spd_plot()
} Whether to normalise spectral power distributions colours.
Returns: Current figure or None.
Return type: Figure
Examples
>>> multi_illuminants_relative_spd_plot(['A', 'B', 'C'])
- **kwargs (dict, optional) – {
-
colour.plotting.
visible_spectrum_plot
(cmfs='CIE 1931 2 Degree Standard Observer', out_of_gamut_clipping=True, **kwargs)[source]¶ Plots the visible colours spectrum using given standard observer CIE XYZ colour matching functions.
Parameters: - cmfs (unicode, optional) – Standard observer colour matching functions used for spectrum creation.
- out_of_gamut_clipping (bool, optional) – Whether to clip out of gamut colours otherwise, the colours will be offset by the absolute minimal colour leading to a rendering on gray background, less saturated and smoother. [1]_
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - y0_plot (bool, optional) – {
colour_parameters_plot()
}, Whether to plot y0 line. - y1_plot (bool, optional) – {
colour_parameters_plot()
}, Whether to plot y1 line.
Returns: Current figure or None.
Return type: Figure
Examples
>>> visible_spectrum_plot()
-
colour.plotting.
single_lightness_function_plot
(function='CIE 1976', **kwargs)[source]¶ Plots given Lightness function.
Parameters: function (unicode, optional) – Lightness function to plot. Other Parameters: **kwargs (dict, optional) – { boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None. Return type: Figure Examples
>>> single_lightness_function_plot()
-
colour.plotting.
multi_lightness_function_plot
(functions=None, **kwargs)[source]¶ Plots given Lightness functions.
Parameters: functions (array_like, optional) – Lightness functions to plot. Other Parameters: **kwargs (dict, optional) – { boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None. Return type: Figure Raises: KeyError
– If one of the given Lightness function is not found in the factory Lightness functions.Examples
>>> fs = ('CIE 1976', 'Wyszecki 1963') >>> multi_lightness_function_plot(fs)
-
colour.plotting.
blackbody_spectral_radiance_plot
(temperature=3500, cmfs='CIE 1931 2 Degree Standard Observer', blackbody='VY Canis Major', **kwargs)[source]¶ Plots given blackbody spectral radiance.
Parameters: - temperature (numeric, optional) – Blackbody temperature.
- cmfs (unicode, optional) – Standard observer colour matching functions.
- blackbody (unicode, optional) – Blackbody name.
Other Parameters: **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None.
Return type: Figure
Examples
>>> blackbody_spectral_radiance_plot()
-
colour.plotting.
blackbody_colours_plot
(shape=SpectralShape(150.0, 12500.0, 50.0), cmfs='CIE 1931 2 Degree Standard Observer', **kwargs)[source]¶ Plots blackbody colours.
Parameters: - shape (SpectralShape, optional) – Spectral shape to use as plot boundaries.
- cmfs (unicode, optional) – Standard observer colour matching functions.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - y0_plot (bool, optional) – {
colour_parameters_plot()
}, Whether to plot y0 line. - y1_plot (bool, optional) – {
colour_parameters_plot()
}, Whether to plot y1 line.
Returns: Current figure or None.
Return type: Figure
Examples
>>> blackbody_colours_plot()
-
colour.plotting.
colour_checker_plot
(colour_checker='ColorChecker 2005', **kwargs)[source]¶ Plots given colour checker.
Parameters: colour_checker (unicode, optional) – Color checker name.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - width (numeric, optional) – {
multi_colour_plot()
}, Colour polygon width. - height (numeric, optional) – {
multi_colour_plot()
}, Colour polygon height. - spacing (numeric, optional) – {
multi_colour_plot()
}, Colour polygons spacing. - across (int, optional) – {
multi_colour_plot()
}, Colour polygons count per row. - text_display (bool, optional) – {
multi_colour_plot()
}, Display colour text. - text_size (numeric, optional) – {
multi_colour_plot()
}, Colour text size. - text_offset (numeric, optional) – {
multi_colour_plot()
}, Colour text offset.
Returns: Current figure or None.
Return type: Figure
Raises: KeyError
– If the given colour rendition chart is not found in the factory colour rendition charts.Examples
>>> colour_checker_plot()
- **kwargs (dict, optional) – {
-
colour.plotting.
CIE_1931_chromaticity_diagram_plot
(cmfs='CIE 1931 2 Degree Standard Observer', show_diagram_colours=True, **kwargs)[source]¶ Plots the CIE 1931 Chromaticity Diagram.
Parameters: - cmfs (unicode, optional) – Standard observer colour matching functions used for diagram bounds.
- show_diagram_colours (bool, optional) – Whether to display the chromaticity diagram background colours.
Other Parameters: **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None.
Return type: Figure
Examples
>>> CIE_1931_chromaticity_diagram_plot()
-
colour.plotting.
CIE_1960_UCS_chromaticity_diagram_plot
(cmfs='CIE 1931 2 Degree Standard Observer', show_diagram_colours=True, **kwargs)[source]¶ Plots the CIE 1960 UCS Chromaticity Diagram.
Parameters: - cmfs (unicode, optional) – Standard observer colour matching functions used for diagram bounds.
- show_diagram_colours (bool, optional) – Whether to display the chromaticity diagram background colours.
Other Parameters: **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None.
Return type: Figure
Examples
>>> CIE_1960_UCS_chromaticity_diagram_plot()
-
colour.plotting.
CIE_1976_UCS_chromaticity_diagram_plot
(cmfs='CIE 1931 2 Degree Standard Observer', show_diagram_colours=True, **kwargs)[source]¶ Plots the CIE 1976 UCS Chromaticity Diagram.
Parameters: - cmfs (unicode, optional) – Standard observer colour matching functions used for diagram bounds.
- show_diagram_colours (bool, optional) – Whether to display the chromaticity diagram background colours.
Other Parameters: **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None.
Return type: Figure
Examples
>>> CIE_1976_UCS_chromaticity_diagram_plot()
-
colour.plotting.
spds_CIE_1931_chromaticity_diagram_plot
(spds, cmfs='CIE 1931 2 Degree Standard Observer', annotate=True, **kwargs)[source]¶ Plots given spectral power distribution chromaticity coordinates into the CIE 1931 Chromaticity Diagram.
Parameters: - spds (array_like, optional) – Spectral power distributions to plot.
- cmfs (unicode, optional) – Standard observer colour matching functions used for diagram bounds.
- annotate (bool) – Should resulting chromaticity coordinates annotated with their respective spectral power distribution names.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - show_diagram_colours (bool, optional) – {
CIE_1931_chromaticity_diagram_plot()
}, Whether to display the chromaticity diagram background colours.
Returns: Current figure or None.
Return type: Figure
Examples
>>> from colour import ILLUMINANTS_RELATIVE_SPDS >>> A = ILLUMINANTS_RELATIVE_SPDS['A'] >>> D65 = ILLUMINANTS_RELATIVE_SPDS['D65'] >>> spds_CIE_1931_chromaticity_diagram_plot([A, D65])
-
colour.plotting.
spds_CIE_1960_UCS_chromaticity_diagram_plot
(spds, cmfs='CIE 1931 2 Degree Standard Observer', annotate=True, **kwargs)[source]¶ Plots given spectral power distribution chromaticity coordinates into the CIE 1960 UCS Chromaticity Diagram.
Parameters: - spds (array_like, optional) – Spectral power distributions to plot.
- cmfs (unicode, optional) – Standard observer colour matching functions used for diagram bounds.
- annotate (bool) – Should resulting chromaticity coordinates annotated with their respective spectral power distribution names.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - show_diagram_colours (bool, optional) – {
CIE_1960_UCS_chromaticity_diagram_plot()
}, Whether to display the chromaticity diagram background colours.
Returns: Current figure or None.
Return type: Figure
Examples
>>> from colour import ILLUMINANTS_RELATIVE_SPDS >>> A = ILLUMINANTS_RELATIVE_SPDS['A'] >>> D65 = ILLUMINANTS_RELATIVE_SPDS['D65'] >>> spds_CIE_1960_UCS_chromaticity_diagram_plot([A, D65])
-
colour.plotting.
spds_CIE_1976_UCS_chromaticity_diagram_plot
(spds, cmfs='CIE 1931 2 Degree Standard Observer', annotate=True, **kwargs)[source]¶ Plots given spectral power distribution chromaticity coordinates into the CIE 1976 UCS Chromaticity Diagram.
Parameters: - spds (array_like, optional) – Spectral power distributions to plot.
- cmfs (unicode, optional) – Standard observer colour matching functions used for diagram bounds.
- annotate (bool) – Should resulting chromaticity coordinates annotated with their respective spectral power distribution names.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - show_diagram_colours (bool, optional) – {
CIE_1976_UCS_chromaticity_diagram_plot()
}, Whether to display the chromaticity diagram background colours.
Returns: Current figure or None.
Return type: Figure
Examples
>>> from colour import ILLUMINANTS_RELATIVE_SPDS >>> A = ILLUMINANTS_RELATIVE_SPDS['A'] >>> D65 = ILLUMINANTS_RELATIVE_SPDS['D65'] >>> spds_CIE_1976_UCS_chromaticity_diagram_plot([A, D65])
-
colour.plotting.
corresponding_chromaticities_prediction_plot
(experiment=1, model='Von Kries', transform='CAT02', **kwargs)[source]¶ Plots given chromatic adaptation model corresponding chromaticities prediction.
Parameters: - experiment (int, optional) – Corresponding chromaticities prediction experiment number.
- model (unicode, optional) – Corresponding chromaticities prediction model name.
- transform (unicode, optional) – Transformation to use with Von Kries chromatic adaptation model.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - show_diagram_colours (bool, optional) – {
CIE_1976_UCS_chromaticity_diagram_plot()
} Whether to display the chromaticity diagram background colours.
Returns: Current figure or None.
Return type: Figure
Examples
>>> corresponding_chromaticities_prediction_plot()
-
colour.plotting.
quad
(plane='xy', origin=None, width=1, height=1, depth=0)[source]¶ Returns the vertices of a quad geometric element in counter-clockwise order.
Parameters: - plane (array_like, optional) – {‘xy’, ‘xz’, ‘yz’}, Construction plane of the quad.
- origin (array_like, optional) – Quad origin on the construction plane.
- width (numeric, optional) – Quad width.
- height (numeric, optional) – Quad height.
- depth (numeric, optional) – Quad depth.
Returns: Quad vertices.
Return type: ndarray
Examples
>>> quad() array([[0, 0, 0], [1, 0, 0], [1, 1, 0], [0, 1, 0]])
-
colour.plotting.
grid
(plane='xy', origin=None, width=1, height=1, depth=0, width_segments=1, height_segments=1)[source]¶ Returns the vertices of a grid made of quads.
Parameters: - plane (array_like, optional) – {‘xy’, ‘xz’, ‘yz’}, Construction plane of the grid.
- origin (array_like, optional) – Grid origin on the construction plane.
- width (numeric, optional) – Grid width.
- height (numeric, optional) – Grid height.
- depth (numeric, optional) – Grid depth.
- width_segments (int, optional) – Grid segments, quad counts along the width.
- height_segments (int, optional) – Grid segments, quad counts along the height.
Returns: Grid vertices.
Return type: ndarray
Examples
>>> grid(width_segments=2, height_segments=2) array([[[ 0. , 0. , 0. ], [ 0.5, 0. , 0. ], [ 0.5, 0.5, 0. ], [ 0. , 0.5, 0. ]], [[ 0. , 0.5, 0. ], [ 0.5, 0.5, 0. ], [ 0.5, 1. , 0. ], [ 0. , 1. , 0. ]], [[ 0.5, 0. , 0. ], [ 1. , 0. , 0. ], [ 1. , 0.5, 0. ], [ 0.5, 0.5, 0. ]], [[ 0.5, 0.5, 0. ], [ 1. , 0.5, 0. ], [ 1. , 1. , 0. ], [ 0.5, 1. , 0. ]]])
-
colour.plotting.
cube
(plane=None, origin=None, width=1, height=1, depth=1, width_segments=1, height_segments=1, depth_segments=1)[source]¶ Returns the vertices of a cube made of grids.
Parameters: - plane (array_like, optional) – Any combination of {‘+x’, ‘-x’, ‘+y’, ‘-y’, ‘+z’, ‘-z’}, Included grids in the cube construction.
- origin (array_like, optional) – Cube origin.
- width (numeric, optional) – Cube width.
- height (numeric, optional) – Cube height.
- depth (numeric, optional) – Cube depth.
- width_segments (int, optional) – Cube segments, quad counts along the width.
- height_segments (int, optional) – Cube segments, quad counts along the height.
- depth_segments (int, optional) – Cube segments, quad counts along the depth.
Returns: Cube vertices.
Return type: ndarray
Examples
>>> cube() array([[[ 0., 0., 0.], [ 1., 0., 0.], [ 1., 1., 0.], [ 0., 1., 0.]], [[ 0., 0., 1.], [ 1., 0., 1.], [ 1., 1., 1.], [ 0., 1., 1.]], [[ 0., 0., 0.], [ 1., 0., 0.], [ 1., 0., 1.], [ 0., 0., 1.]], [[ 0., 1., 0.], [ 1., 1., 0.], [ 1., 1., 1.], [ 0., 1., 1.]], [[ 0., 0., 0.], [ 0., 1., 0.], [ 0., 1., 1.], [ 0., 0., 1.]], [[ 1., 0., 0.], [ 1., 1., 0.], [ 1., 1., 1.], [ 1., 0., 1.]]])
-
colour.plotting.
RGB_colourspaces_CIE_1931_chromaticity_diagram_plot
(colourspaces=None, cmfs='CIE 1931 2 Degree Standard Observer', **kwargs)[source]¶ Plots given RGB colourspaces in CIE 1931 Chromaticity Diagram.
Parameters: - colourspaces (array_like, optional) – RGB colourspaces to plot.
- cmfs (unicode, optional) – Standard observer colour matching functions used for diagram bounds.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - show_diagram_colours (bool, optional) – {
CIE_1931_chromaticity_diagram_plot()
}, Whether to display the chromaticity diagram background colours.
Returns: Current figure or None.
Return type: Figure
Examples
>>> c = ['Rec. 709', 'ACEScg', 'S-Gamut'] >>> RGB_colourspaces_CIE_1931_chromaticity_diagram_plot( ... c)
-
colour.plotting.
RGB_colourspaces_CIE_1960_UCS_chromaticity_diagram_plot
(colourspaces=None, cmfs='CIE 1931 2 Degree Standard Observer', **kwargs)[source]¶ Plots given RGB colourspaces in CIE 1960 UCS Chromaticity Diagram.
Parameters: - colourspaces (array_like, optional) – RGB colourspaces to plot.
- cmfs (unicode, optional) – Standard observer colour matching functions used for diagram bounds.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - show_diagram_colours (bool, optional) – {
CIE_1960_UCS_chromaticity_diagram_plot()
}, Whether to display the chromaticity diagram background colours.
Returns: Current figure or None.
Return type: Figure
Examples
>>> c = ['Rec. 709', 'ACEScg', 'S-Gamut'] >>> RGB_colourspaces_CIE_1960_UCS_chromaticity_diagram_plot( ... c)
-
colour.plotting.
RGB_colourspaces_CIE_1976_UCS_chromaticity_diagram_plot
(colourspaces=None, cmfs='CIE 1931 2 Degree Standard Observer', **kwargs)[source]¶ Plots given RGB colourspaces in CIE 1976 UCS Chromaticity Diagram.
Parameters: - colourspaces (array_like, optional) – RGB colourspaces to plot.
- cmfs (unicode, optional) – Standard observer colour matching functions used for diagram bounds.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - show_diagram_colours (bool, optional) – {
CIE_1976_UCS_chromaticity_diagram_plot()
}, Whether to display the chromaticity diagram background colours.
Returns: Current figure or None.
Return type: Figure
Examples
>>> c = ['Rec. 709', 'ACEScg', 'S-Gamut'] >>> RGB_colourspaces_CIE_1976_UCS_chromaticity_diagram_plot( ... c)
-
colour.plotting.
RGB_chromaticity_coordinates_CIE_1931_chromaticity_diagram_plot
(RGB, colourspace, **kwargs)[source]¶ Plots given RGB colourspace array in CIE 1931 Chromaticity Diagram.
Parameters: - RGB (array_like) – RGB colourspace array.
- colourspace (unicode) – RGB colourspace of the RGB array.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - show_diagram_colours (bool, optional) – {
CIE_1931_chromaticity_diagram_plot()
}, Whether to display the chromaticity diagram background colours.
Returns: Current figure or None.
Return type: Figure
Examples
>>> RGB = np.random.random((10, 10, 3)) >>> c = 'Rec. 709' >>> RGB_chromaticity_coordinates_CIE_1931_chromaticity_diagram_plot( ... RGB, c)
-
colour.plotting.
RGB_chromaticity_coordinates_CIE_1960_UCS_chromaticity_diagram_plot
(RGB, colourspace, **kwargs)[source]¶ Plots given RGB colourspace array in CIE 1960 UCS Chromaticity Diagram.
Parameters: - RGB (array_like) – RGB colourspace array.
- colourspace (unicode) – RGB colourspace of the RGB array.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - show_diagram_colours (bool, optional) – {
CIE_1960_UCS_chromaticity_diagram_plot()
}, Whether to display the chromaticity diagram background colours.
Returns: Current figure or None.
Return type: Figure
Examples
>>> RGB = np.random.random((10, 10, 3)) >>> c = 'Rec. 709' >>> RGB_chromaticity_coordinates_CIE_1960_UCS_chromaticity_diagram_plot( ... RGB, c)
-
colour.plotting.
RGB_chromaticity_coordinates_CIE_1976_UCS_chromaticity_diagram_plot
(RGB, colourspace, **kwargs)[source]¶ Plots given RGB colourspace array in CIE 1976 UCS Chromaticity Diagram.
Parameters: - RGB (array_like) – RGB colourspace array.
- colourspace (unicode) – RGB colourspace of the RGB array.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - show_diagram_colours (bool, optional) – {
CIE_1976_UCS_chromaticity_diagram_plot()
}, Whether to display the chromaticity diagram background colours.
Returns: Current figure or None.
Return type: Figure
Examples
>>> RGB = np.random.random((10, 10, 3)) >>> c = 'Rec. 709' >>> RGB_chromaticity_coordinates_CIE_1976_UCS_chromaticity_diagram_plot( ... RGB, c)
-
colour.plotting.
single_cctf_plot
(colourspace='Rec. 709', decoding_cctf=False, **kwargs)[source]¶ Plots given colourspace colour component transfer function.
Parameters: - colourspace (unicode, optional) – RGB Colourspace colour component transfer function to plot.
- decoding_cctf (bool) – Plot decoding colour component transfer function instead.
Other Parameters: **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None.
Return type: Figure
Examples
>>> single_cctf_plot()
-
colour.plotting.
multi_cctf_plot
(colourspaces=None, decoding_cctf=False, **kwargs)[source]¶ Plots given colourspaces colour component transfer functions.
Parameters: - colourspaces (array_like, optional) – Colourspaces colour component transfer function to plot.
- decoding_cctf (bool) – Plot decoding colour component transfer function instead.
Other Parameters: **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None.
Return type: Figure
Examples
>>> multi_cctf_plot(['Rec. 709', 'sRGB'])
-
colour.plotting.
single_munsell_value_function_plot
(function='ASTM D1535-08', **kwargs)[source]¶ Plots given Lightness function.
Parameters: function (unicode, optional) – Munsell value function to plot. Other Parameters: **kwargs (dict, optional) – { boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None. Return type: Figure Examples
>>> f = 'ASTM D1535-08' >>> single_munsell_value_function_plot(f)
-
colour.plotting.
multi_munsell_value_function_plot
(functions=None, **kwargs)[source]¶ Plots given Munsell value functions.
Parameters: functions (array_like, optional) – Munsell value functions to plot. Other Parameters: **kwargs (dict, optional) – { boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None. Return type: Figure Raises: KeyError
– If one of the given Munsell value function is not found in the factory Munsell value functions.Examples
>>> fs = ('ASTM D1535-08', 'McCamy 1987') >>> multi_munsell_value_function_plot(fs)
-
colour.plotting.
single_rayleigh_scattering_spd_plot
(CO2_concentration=300, temperature=288.15, pressure=101325, latitude=0, altitude=0, cmfs='CIE 1931 2 Degree Standard Observer', **kwargs)[source]¶ Plots a single Rayleigh scattering spectral power distribution.
Parameters: - CO2_concentration (numeric, optional) – \(CO_2\) concentration in parts per million (ppm).
- temperature (numeric, optional) – Air temperature \(T[K]\) in kelvin degrees.
- pressure (numeric) – Surface pressure \(P\) of the measurement site.
- latitude (numeric, optional) – Latitude of the site in degrees.
- altitude (numeric, optional) – Altitude of the site in meters.
- cmfs (unicode, optional) – Standard observer colour matching functions.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - out_of_gamut_clipping (bool, optional) – {
single_spd_plot()
}, Whether to clip out of gamut colours otherwise, the colours will be offset by the absolute minimal colour leading to a rendering on gray background, less saturated and smoother. [1]_
Returns: Current figure or None.
Return type: Figure
Examples
>>> single_rayleigh_scattering_spd_plot()
-
colour.plotting.
the_blue_sky_plot
(cmfs='CIE 1931 2 Degree Standard Observer', **kwargs)[source]¶ Plots the blue sky.
Parameters: cmfs (unicode, optional) – Standard observer colour matching functions. Other Parameters: **kwargs (dict, optional) – { boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None. Return type: Figure Examples
>>> the_blue_sky_plot()
-
colour.plotting.
single_spd_colour_rendering_index_bars_plot
(spd, **kwargs)[source]¶ Plots the Colour Rendering Index (CRI) of given illuminant or light source spectral power distribution.
Parameters: spd (SpectralPowerDistribution) – Illuminant or light source spectral power distribution to plot the Colour Rendering Index (CRI).
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - labels (bool, optional) – {
colour_quality_bars_plot()
}, Add labels above bars. - hatching (bool or None, optional) – {
colour_quality_bars_plot()
}, Use hatching for the bars. - hatching_repeat (int, optional) – {
colour_quality_bars_plot()
}, Hatching pattern repeat.
Returns: Current figure or None.
Return type: Figure
Examples
>>> from colour import ILLUMINANTS_RELATIVE_SPDS >>> illuminant = ILLUMINANTS_RELATIVE_SPDS['F2'] >>> single_spd_colour_rendering_index_bars_plot( ... illuminant)
- **kwargs (dict, optional) – {
-
colour.plotting.
multi_spd_colour_rendering_index_bars_plot
(spds, **kwargs)[source]¶ Plots the Colour Rendering Index (CRI) of given illuminants or light sources spectral power distributions.
Parameters: spds (array_like) – Array of illuminants or light sources spectral power distributions to plot the Colour Rendering Index (CRI).
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - labels (bool, optional) – {
colour_quality_bars_plot()
}, Add labels above bars. - hatching (bool or None, optional) – {
colour_quality_bars_plot()
}, Use hatching for the bars. - hatching_repeat (int, optional) – {
colour_quality_bars_plot()
}, Hatching pattern repeat.
Returns: Current figure or None.
Return type: Figure
Examples
>>> from colour import ( ... ILLUMINANTS_RELATIVE_SPDS, ... LIGHT_SOURCES_RELATIVE_SPDS) >>> illuminant = ILLUMINANTS_RELATIVE_SPDS['F2'] >>> light_source = LIGHT_SOURCES_RELATIVE_SPDS['Kinoton 75P'] >>> multi_spd_colour_rendering_index_bars_plot( ... [illuminant, light_source])
- **kwargs (dict, optional) – {
-
colour.plotting.
single_spd_colour_quality_scale_bars_plot
(spd, **kwargs)[source]¶ Plots the Colour Quality Scale (CQS) of given illuminant or light source spectral power distribution.
Parameters: spd (SpectralPowerDistribution) – Illuminant or light source spectral power distribution to plot the Colour Quality Scale (CQS).
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - labels (bool, optional) – {
colour_quality_bars_plot()
}, Add labels above bars. - hatching (bool or None, optional) – {
colour_quality_bars_plot()
}, Use hatching for the bars. - hatching_repeat (int, optional) – {
colour_quality_bars_plot()
}, Hatching pattern repeat.
Returns: Current figure or None.
Return type: Figure
Examples
>>> from colour import ILLUMINANTS_RELATIVE_SPDS >>> illuminant = ILLUMINANTS_RELATIVE_SPDS['F2'] >>> single_spd_colour_quality_scale_bars_plot( ... illuminant)
- **kwargs (dict, optional) – {
-
colour.plotting.
multi_spd_colour_quality_scale_bars_plot
(spds, **kwargs)[source]¶ Plots the Colour Quality Scale (CQS) of given illuminants or light sources spectral power distributions.
Parameters: spds (array_like) – Array of illuminants or light sources spectral power distributions to plot the Colour Quality Scale (CQS).
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - labels (bool, optional) – {
colour_quality_bars_plot()
}, Add labels above bars. - hatching (bool or None, optional) – {
colour_quality_bars_plot()
}, Use hatching for the bars. - hatching_repeat (int, optional) – {
colour_quality_bars_plot()
}, Hatching pattern repeat.
Returns: Current figure or None.
Return type: Figure
Examples
>>> from colour import ( ... ILLUMINANTS_RELATIVE_SPDS, ... LIGHT_SOURCES_RELATIVE_SPDS) >>> illuminant = ILLUMINANTS_RELATIVE_SPDS['F2'] >>> light_source = LIGHT_SOURCES_RELATIVE_SPDS['Kinoton 75P'] >>> multi_spd_colour_quality_scale_bars_plot( ... [illuminant, light_source])
- **kwargs (dict, optional) – {
-
colour.plotting.
planckian_locus_CIE_1931_chromaticity_diagram_plot
(illuminants=None, **kwargs)[source]¶ Plots the planckian locus and given illuminants in CIE 1931 Chromaticity Diagram.
Parameters: illuminants (array_like, optional) – Factory illuminants to plot.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - show_diagram_colours (bool, optional) – {
CIE_1931_chromaticity_diagram_plot()
}, Whether to display the chromaticity diagram background colours.
Returns: Current figure or None.
Return type: Figure
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)
- **kwargs (dict, optional) – {
-
colour.plotting.
planckian_locus_CIE_1960_UCS_chromaticity_diagram_plot
(illuminants=None, **kwargs)[source]¶ Plots the planckian locus and given illuminants in CIE 1960 UCS Chromaticity Diagram.
Parameters: illuminants (array_like, optional) – Factory illuminants to plot.
Other Parameters: - **kwargs (dict, optional) – {
boundaries()
,canvas()
,decorate()
,display()
}, Please refer to the documentation of the previously listed definitions. - show_diagram_colours (bool, optional) – {
CIE_1960_UCS_chromaticity_diagram_plot()
}, Whether to display the chromaticity diagram background colours.
Returns: Current figure or None.
Return type: Figure
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)
- **kwargs (dict, optional) – {
-
colour.plotting.
RGB_colourspaces_gamuts_plot
(colourspaces=None, reference_colourspace='CIE xyY', segments=8, display_grid=True, grid_segments=10, spectral_locus=False, spectral_locus_colour=None, cmfs='CIE 1931 2 Degree Standard Observer', **kwargs)[source]¶ Plots given RGB colourspaces gamuts in given reference colourspace.
Parameters: - colourspaces (array_like, optional) – RGB colourspaces to plot the gamuts.
- reference_colourspace (unicode, optional) – {‘CIE XYZ’, ‘CIE xyY’, ‘CIE Lab’, ‘CIE Luv’, ‘CIE UCS’, ‘CIE UVW’, ‘IPT’, ‘Hunter Lab’, ‘Hunter Rdab’}, Reference colourspace to plot the gamuts into.
- segments (int, optional) – Edge segments count for each RGB colourspace cubes.
- display_grid (bool, optional) – Display a grid at the bottom of the RGB colourspace cubes.
- grid_segments (bool, optional) – Edge segments count for the grid.
- spectral_locus (bool, optional) – Is spectral locus line plotted.
- spectral_locus_colour (array_like, optional) – Spectral locus line colour.
- cmfs (unicode, optional) – Standard observer colour matching functions used for spectral locus.
Other Parameters: - **kwargs (dict, optional) – {
nadir_grid()
}, Please refer to the documentation of the previously listed definitions. - face_colours (array_like, optional) – Face colours array such as face_colours = (None, (0.5, 0.5, 1.0)).
- edge_colours (array_like, optional) – Edge colours array such as edge_colours = (None, (0.5, 0.5, 1.0)).
- face_alpha (numeric, optional) – Face opacity value such as face_alpha = (0.5, 1.0).
- edge_alpha (numeric, optional) – Edge opacity value such as edge_alpha = (0.0, 1.0).
Returns: Current figure or None.
Return type: Figure
Examples
>>> c = ['Rec. 709', 'ACEScg', 'S-Gamut'] >>> RGB_colourspaces_gamuts_plot(c)
-
colour.plotting.
RGB_scatter_plot
(RGB, colourspace, reference_colourspace='CIE xyY', colourspaces=None, segments=8, display_grid=True, grid_segments=10, spectral_locus=False, spectral_locus_colour=None, points_size=12, cmfs='CIE 1931 2 Degree Standard Observer', **kwargs)[source]¶ Plots given RGB colourspace array in a scatter plot.
Parameters: - RGB (array_like) – RGB colourspace array.
- colourspace (RGB_Colourspace) – RGB colourspace of the RGB array.
- reference_colourspace (unicode, optional) – {‘CIE XYZ’, ‘CIE xyY’, ‘CIE Lab’, ‘CIE Luv’, ‘CIE UCS’, ‘CIE UVW’, ‘IPT’, ‘Hunter Lab’, ‘Hunter Rdab’}, Reference colourspace for colour conversion.
- colourspaces (array_like, optional) – RGB colourspaces to plot the gamuts.
- segments (int, optional) – Edge segments count for each RGB colourspace cubes.
- display_grid (bool, optional) – Display a grid at the bottom of the RGB colourspace cubes.
- grid_segments (bool, optional) – Edge segments count for the grid.
- spectral_locus (bool, optional) – Is spectral locus line plotted.
- spectral_locus_colour (array_like, optional) – Spectral locus line colour.
- points_size (numeric, optional) – Scatter points size.
- cmfs (unicode, optional) – Standard observer colour matching functions used for spectral locus.
Other Parameters: **kwargs (dict, optional) – {
RGB_colourspaces_gamuts_plot()
}, Please refer to the documentation of the previously listed definitions.Returns: Current figure or None.
Return type: Figure
Examples
>>> c = 'Rec. 709' >>> RGB_scatter_plot(c)