pyvista.DataObjectFilters.slice_implicit

DataObjectFilters.slice_implicit(

implicit_function: _vtk.vtkImplicitFunction,

generate_triangles: bool = False,

contour: bool = False,

progress_bar: bool = False,

)

Slice a dataset by a VTK implicit function.

Parameters:

implicit_functionvtkImplicitFunction

Specify the implicit function to perform the cutting.

generate_trianglesbool, default: False

If this is enabled (False by default), the output will be triangles. Otherwise the output will be the intersection polygons. If the cutting function is not a plane, the output will be 3D polygons, which might be nice to look at but hard to compute with downstream.

contourbool, default: False

If True, apply a contour filter after slicing.

progress_barbool, default: False

Display a progress bar to indicate progress.

Returns:

pyvista.PolyData

Sliced dataset.

See also

slice

slice_orthogonal

slice_along_axis

slice_along_line

slice_index()

Examples

Slice the surface of a sphere.

>>> import pyvista as pv
>>> import vtk
>>> sphere = vtk.vtkSphere()
>>> sphere.SetRadius(10)
>>> mesh = pv.Wavelet()
>>> slice = mesh.slice_implicit(sphere)
>>> slice.plot(show_edges=True, line_width=5)

Static Scene

Interactive Scene

>>> cylinder = vtk.vtkCylinder()
>>> cylinder.SetRadius(10)
>>> mesh = pv.Wavelet()
>>> slice = mesh.slice_implicit(cylinder)
>>> slice.plot(show_edges=True, line_width=5)

Static Scene

Interactive Scene