Use the connectivity filter to remove noisy isosurfaces.

This example is very similar to this VTK example

# sphinx_gallery_thumbnail_number = 2
import pyvista as pv
from pyvista import examples

Load a dataset that has noisy isosurfaces

mesh = examples.download_pine_roots()

cpos = [(40.6018, -280.533, 47.0172),
        (40.6018, 37.2813, 50.1953),
        (0.0, 0.0, 1.0)]

# Plot the raw data
p = pv.Plotter()
p.add_mesh(mesh, color='#965434')

The mesh plotted above is very noisy. We can extract the largest connected isosurface in that mesh using the pyvista.DataSetFilters.connectivity() filter and passing largest=True to the connectivity filter or by using the pyvista.DataSetFilters.extract_largest() filter (both are equivalent).

# Grab the largest connected volume present
largest = mesh.connectivity(largest=True)
# or: largest = mesh.extract_largest()

p = pv.Plotter()
p.add_mesh(largest, color='#965434')
p.camera_position = cpos

Total running time of the script: ( 0 minutes 2.095 seconds)

Gallery generated by Sphinx-Gallery