pyvista.create_axes_orientation_box#
- create_axes_orientation_box(
- line_width=1,
- text_scale=0.366667,
- edge_color='black',
- x_color=None,
- y_color=None,
- z_color=None,
- xlabel='X',
- ylabel='Y',
- zlabel='Z',
- x_face_color='red',
- y_face_color='green',
- z_face_color='blue',
- color_box=False,
- label_color=None,
- labels_off=False,
- opacity=0.5,
- show_text_edges=False,
Create a Box axes orientation widget with labels.
- Parameters:
- line_width
float
,optional
The width of the marker lines.
- text_scale
float
,optional
Size of the text relative to the faces.
- edge_color
ColorLike
,optional
Color of the edges.
- x_color
ColorLike
,optional
Color of the x-axis text.
- y_color
ColorLike
,optional
Color of the y-axis text.
- z_color
ColorLike
,optional
Color of the z-axis text.
- xlabel
str
,optional
Text used for the x-axis.
- ylabel
str
,optional
Text used for the y-axis.
- zlabel
str
,optional
Text used for the z-axis.
- x_face_color
ColorLike
,optional
Color used for the x-axis arrow. Defaults to theme axes parameters.
- y_face_color
ColorLike
,optional
Color used for the y-axis arrow. Defaults to theme axes parameters.
- z_face_color
ColorLike
,optional
Color used for the z-axis arrow. Defaults to theme axes parameters.
- color_boxbool,
optional
Enable or disable the face colors. Otherwise, box is white.
- label_color
ColorLike
,optional
Color of the labels.
- labels_offbool,
optional
Enable or disable the text labels for the axes.
- opacity
float
,optional
Opacity in the range of
[0, 1]
of the orientation box.- show_text_edgesbool,
optional
Enable or disable drawing the vector text edges.
- line_width
- Returns:
vtk.vtkAnnotatedCubeActor
Annotated cube actor.
Examples
Create and plot an orientation box
>>> import pyvista as pv >>> actor = pv.create_axes_orientation_box( ... line_width=1, ... text_scale=0.53, ... edge_color='black', ... x_color='k', ... y_color=None, ... z_color=None, ... xlabel='X', ... ylabel='Y', ... zlabel='Z', ... color_box=False, ... labels_off=False, ... opacity=1.0, ... ) >>> pl = pv.Plotter() >>> _ = pl.add_actor(actor) >>> pl.show()