colour.plotting.section.plot_hull_section_contour#

colour.plotting.section.plot_hull_section_contour(hull: trimesh.Trimesh, model: LiteralColourspaceModel | str = 'CIE xyY', axis: Literal['+z', '+x', '+y'] | str = '+z', origin: float = 0.5, normalise: bool = True, contour_colours: ArrayLike | str | None = None, contour_opacity: float = 1, convert_kwargs: dict | None = None, **kwargs: Any) → Tuple[Figure, Axes][source]#

Plot the section contour of given trimesh hull along given axis and origin.

Parameters:

hull (trimesh.Trimesh) – Trimesh hull.
model (LiteralColourspaceModel | str) – Colourspace model, see colour.COLOURSPACE_MODELS attribute for the list of supported colourspace models.
axis (Literal['+z', '+x', '+y'] | str) – Axis the hull section will be normal to.
origin (float) – Coordinate along axis at which to plot the hull section.
normalise (bool) – Whether to normalise axis to the extent of the hull along it.
contour_colours (ArrayLike | str | None) – Colours of the hull section contour, if contour_colours is set to RGB, the colours will be computed according to the corresponding coordinates.
contour_opacity (float) – Opacity of the hull section contour.
convert_kwargs (dict | None) – Keyword arguments for the colour.convert() definition.
kwargs (Any) – {colour.plotting.artist(), colour.plotting.render()}, See the documentation of the previously listed definitions.

Returns:

Current figure and axes.

Return type:

tuple

Examples

>>> from colour.models import RGB_COLOURSPACE_sRGB
>>> from colour.utilities import is_trimesh_installed
>>> vertices, faces, _outline = primitive_cube(1, 1, 1, 64, 64, 64)
>>> XYZ_vertices = RGB_to_XYZ(vertices["position"] + 0.5, RGB_COLOURSPACE_sRGB)
>>> if is_trimesh_installed:
...     from trimesh import Trimesh
...
...     hull = Trimesh(XYZ_vertices, faces, process=False)
...     plot_hull_section_contour(hull, contour_colours="RGB")
...     
(<Figure size ... with 1 Axes>, <...Axes...>)