Clipping with Planes & Boxes#

Clip/cut any dataset using using planes or boxes.

import pyvista as pv
from pyvista import examples

Clip with Plane#

Clip any dataset by a user defined plane using the pyvista.DataSetFilters.clip() filter

dataset = examples.download_bunny_coarse()
clipped = dataset.clip('y', invert=False)

p = pv.Plotter()
p.add_mesh(dataset, style='wireframe', color='blue', label='Input')
p.add_mesh(clipped, label='Clipped')
p.add_legend()
p.camera_position = [(0.24, 0.32, 0.7), (0.02, 0.03, -0.02), (-0.12, 0.93, -0.34)]
p.show()
clipping

Clip with Bounds#

Clip any dataset by a set of XYZ bounds using the pyvista.DataSetFilters.clip_box() filter.

dataset = examples.download_office()

bounds = [2, 4.5, 2, 4.5, 1, 3]
clipped = dataset.clip_box(bounds)

p = pv.Plotter()
p.add_mesh(dataset, style='wireframe', color='blue', label='Input')
p.add_mesh(clipped, label='Clipped')
p.add_legend()
p.show()
clipping

Clip with Rotated Box#

Clip any dataset by an arbitrarily rotated solid box using the pyvista.DataSetFilters.clip_box() filter.

mesh = examples.load_airplane()

# Use `pv.Box()` or `pv.Cube()` to create a region of interest
roi = pv.Cube(center=(0.9e3, 0.2e3, mesh.center[2]), x_length=500, y_length=500, z_length=500)
roi.rotate_z(33, inplace=True)

p = pv.Plotter()
p.add_mesh(roi, opacity=0.75, color="red")
p.add_mesh(mesh, opacity=0.5)
p.show()
clipping

Run the box clipping algorithm

extracted = mesh.clip_box(roi, invert=False)

p = pv.Plotter(shape=(1, 2))
p.add_mesh(roi, opacity=0.75, color="red")
p.add_mesh(mesh)
p.subplot(0, 1)
p.add_mesh(extracted)
p.add_mesh(roi, opacity=0.75, color="red")
p.link_views()
p.view_isometric()
p.show()
clipping

Crinkled Clipping#

Crinkled clipping is useful if you don’t want the clip filter to truly clip cells on the boundary, but want to preserve the input cell structure and to pass the entire cell on through the boundary.

This option is available for pyvista.DataSetFilters.clip(), pyvista.DataSetFilters.clip_box(), and pyvista.DataSetFilters.clip_sruface(), but not available when clipping by scalar in pyvista.DataSetFilters.clip_scalar().

# Input mesh
mesh = pv.Wavelet()

Define clipping plane

normal = (1, 1, 1)
plane = pv.Plane(i_size=30, j_size=30, direction=normal)

Perform a standard clip

clipped = mesh.clip(normal=normal)

Perform a crinkled clip

crinkled = mesh.clip(normal=normal, crinkle=True)

Plot comparison

p = pv.Plotter(shape=(1, 2))
p.add_mesh(clipped, show_edges=True)
p.add_mesh(plane.extract_feature_edges(), color='r')
p.subplot(0, 1)
p.add_mesh(crinkled, show_edges=True)
p.add_mesh(plane.extract_feature_edges(), color='r')
p.link_views()
p.show()
clipping

Total running time of the script: ( 0 minutes 2.359 seconds)

Gallery generated by Sphinx-Gallery