pyvista.plotting.widgets.WidgetHelper.add_line_widget#
- WidgetHelper.add_line_widget(
- callback,
- bounds=None,
- factor=1.25,
- resolution=100,
- color=None,
- use_vertices=False,
- pass_widget=False,
- interaction_event=45,
Add a line widget to the scene.
This is useless without a callback function. You can pass a callable function that takes a single argument, the PolyData line output from this widget, and performs a task with that line.
- Parameters:
- callback
callable()
The method called every time the line is updated. This has two options: Take a single argument, the
PolyData
line (default) or ifuse_vertices=True
, then it can take two arguments of the coordinates of the line’s end points.- bounds
tuple
(float
),optional
Length 6 tuple of the bounding box where the widget is placed.
- factor
float
,optional
An inflation factor to expand on the bounds when placing.
- resolution
int
,optional
The number of points in the line created.
- color
ColorLike
,optional
Either a string, rgb sequence, or hex color string.
- use_verticesbool,
optional
Changes the arguments of the callback method to take the end points of the line instead of a PolyData object.
- pass_widgetbool, default:
False
If
True
, the widget will be passed as the last argument of the callback.- interaction_event
vtk.vtkCommand.EventIds
,optional
The VTK interaction event to use for triggering the callback.
- callback
- Returns:
vtk.vtkLineWidget
Created line widget.
Examples
Shows an interactive line widget to move the sliced object like in add_mesh_slice function.
>>> import pyvista as pv >>> from pyvista import examples >>> import numpy as np >>> model = examples.load_channels() >>> pl = pv.Plotter() >>> _ = pl.add_mesh(model, opacity=0.4) >>> def move_center(pointa, pointb): ... center = (np.array(pointa) + np.array(pointb)) / 2 ... normal = np.array(pointa) - np.array(pointb) ... single_slc = model.slice(normal=normal, origin=center) ... ... _ = pl.add_mesh(single_slc, name="slc") ... >>> _ = pl.add_line_widget(callback=move_center, use_vertices=True) >>> pl.show()