colour.plotting.temperature.plot_planckian_locus_in_chromaticity_diagram#

colour.plotting.temperature.plot_planckian_locus_in_chromaticity_diagram(illuminants: str | Sequence[str] | None = None, chromaticity_diagram_callable: Callable = plot_chromaticity_diagram, method: Literal['CIE 1931', 'CIE 1960 UCS', 'CIE 1976 UCS'] | str = 'CIE 1931', annotate_kwargs: dict | List[dict] | None = None, plot_kwargs: dict | List[dict] | None = None, **kwargs: Any) Tuple[Figure, Axes][source]#

Plot the Planckian Locus and given illuminants in the Chromaticity Diagram according to given method.

Parameters:
  • illuminants (str | Sequence[str] | None) – Illuminants to plot. illuminants elements can be of any type or form supported by the colour.plotting.common.filter_passthrough() definition.

  • chromaticity_diagram_callable (Callable) – Callable responsible for drawing the Chromaticity Diagram.

  • method (Literal['CIE 1931', 'CIE 1960 UCS', 'CIE 1976 UCS'] | str) – Chromaticity Diagram method.

  • annotate_kwargs (dict | List[dict] | None) –

    Keyword arguments for the matplotlib.pyplot.annotate() definition, used to annotate the resulting chromaticity coordinates with their respective spectral distribution names. annotate_kwargs can be either a single dictionary applied to all the arrows with same settings or a sequence of dictionaries with different settings for each spectral distribution. The following special keyword arguments can also be used:

    • annotate : Whether to annotate the spectral distributions.

  • plot_kwargs (dict | List[dict] | None) – Keyword arguments for the matplotlib.pyplot.plot() definition, used to control the style of the plotted illuminants. plot_kwargs can be either a single dictionary applied to all the plotted illuminants with the same settings or a sequence of dictionaries with different settings for eachplotted illuminant.

  • kwargs (Any) – {colour.plotting.artist(), colour.plotting.diagrams.plot_chromaticity_diagram(), colour.plotting.temperature.plot_planckian_locus(), colour.plotting.render()}, See the documentation of the previously listed definitions.

Returns:

Current figure and axes.

Return type:

tuple

Examples

>>> annotate_kwargs = [
...     {"xytext": (-25, 15), "arrowprops": {"arrowstyle": "-"}},
...     {"arrowprops": {"arrowstyle": "-["}},
...     {},
... ]
>>> plot_kwargs = [
...     {
...         "markersize": 15,
...     },
...     {"color": "r"},
...     {},
... ]
>>> plot_planckian_locus_in_chromaticity_diagram(
...     ["A", "B", "C"],
...     annotate_kwargs=annotate_kwargs,
...     plot_kwargs=plot_kwargs,
... )  
(<Figure size ... with 1 Axes>, <...Axes...>)
plot_planckian_locus_in_chromaticity_diagram