scatter#
- Orientation.scatter(projection: Literal['axangle', 'rodrigues', 'homochoric', 'ipf'] = 'axangle', figure: Figure | None = None, position: int | tuple[int, int, int] | SubplotSpec | None = None, return_figure: bool = False, wireframe_kwargs: dict | None = None, size: int | None = None, direction: Vector3d | None = None, figure_kwargs: dict | None = None, **kwargs) Figure | None[source]#
Plot misorientations in 3D Euclidean space using either a 3D neo-Eulerian projection or a 2D stereographic projection.
- Parameters:
- projection
Which projection to use for plotting into Euclidean space. The 3D options are “axangle” (default) for a linear scaling, “homochoric” for an equal-volume scaling, or “rodrigues” for a rectilinear scaling. The 2D option is “ipf” to give an inverse pole figure.
- figure
If given, a new plot axis with the projection specified by projection is added to the figure in the position specified by position. If not given, a new figure is created.
- position
Where to add the new plot axis. 121 or (1, 2, 1) places it in the first of two positions in a grid of 1 row and 2 columns. See
add_subplot()for further details. If not given, the default position of (1, 1, 1) is assumed.- return_figure
Whether to return the figure. Default is False.
- wireframe_kwargs
Keyword arguments passed to
plot_wireframe()or equivalent. Unused if projection is “ipf”.- size
If not given, all orientations are plotted. If given, a random sample of this size of the orientations is plotted.
- direction
Sample direction to plot with respect to crystal directions. If not given, the out of plane direction, sample Z, is used. Only used when plotting inverse pole figures.
- figure_kwargs
Dictionary of keyword arguments passed to
matplotlib.pyplot.figure()if figure is not given.- **kwargs
Keyword arguments passed to the orix plotting class set by position.
- Returns:
figureFigure with the added plot axis, if return_figure is True.
