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: bool = False,
- label_color=None,
- labels_off: bool = False,
- opacity=0.5,
- show_text_edges: bool = 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:
- vtkAnnotatedCubeActor
Annotated cube actor.
Examples#
Download Python source code | Download Jupyter notebook
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()