CompositeFilters.slice_along_line(line, generate_triangles=False, contour=False, progress_bar=False)#

Slice a dataset using a polyline/spline as the path.

This also works for lines generated with pyvista.Line().


A PolyData object containing one single PolyLine cell.

generate_trianglesbool, optional

If this is enabled (False by default), the output will be triangles. Otherwise the output will be the intersection polygons.

contourbool, optional

If True, apply a contour filter after slicing.

progress_barbool, optional

Display a progress bar to indicate progress.


Sliced dataset.


Slice the random hills dataset along a circular arc.

>>> import numpy as np
>>> import pyvista
>>> from pyvista import examples
>>> hills = examples.load_random_hills()
>>> center = np.array(
>>> point_a = center + np.array([5, 0, 0])
>>> point_b = center + np.array([-5, 0, 0])
>>> arc = pyvista.CircularArc(point_a, point_b, center, resolution=100)
>>> line_slice = hills.slice_along_line(arc)

Plot the circular arc and the hills mesh.

>>> pl = pyvista.Plotter()
>>> _ = pl.add_mesh(hills, smooth_shading=True, style='wireframe')
>>> _ = pl.add_mesh(line_slice, line_width=10, render_lines_as_tubes=True,
...                 color='k')
>>> _ = pl.add_mesh(arc, line_width=10, color='grey')

See Slicing for more examples using this filter.