pyvista.DataSetFilters.extract_feature_edges#
- DataSetFilters.extract_feature_edges(
- feature_angle=30.0,
- boundary_edges=True,
- non_manifold_edges=True,
- feature_edges=True,
- manifold_edges=True,
- clear_data=False,
- progress_bar=False,
Extract edges from the surface of the mesh.
If the given mesh is not PolyData, the external surface of the given mesh is extracted and used.
From vtk documentation, the edges are one of the following:
Boundary (used by one polygon) or a line cell.
Non-manifold (used by three or more polygons).
Feature edges (edges used by two triangles and whose dihedral angle > feature_angle).
Manifold edges (edges used by exactly two polygons).
- Parameters:
- feature_angle
float
, default: 30.0 Feature angle (in degrees) used to detect sharp edges on the mesh. Used only when
feature_edges=True
.- boundary_edgesbool, default:
True
Extract the boundary edges.
- non_manifold_edgesbool, default:
True
Extract non-manifold edges.
- feature_edgesbool, default:
True
Extract edges exceeding
feature_angle
.- manifold_edgesbool, default:
True
Extract manifold edges.
- clear_databool, default:
False
Clear any point, cell, or field data. This is useful if wanting to strictly extract the edges.
- progress_barbool, default:
False
Display a progress bar to indicate progress.
- feature_angle
- Returns:
pyvista.PolyData
Extracted edges.
Examples
Extract the edges from an unstructured grid.
>>> import pyvista as pv >>> from pyvista import examples >>> hex_beam = pv.read(examples.hexbeamfile) >>> feat_edges = hex_beam.extract_feature_edges() >>> feat_edges.clear_data() # clear array data for plotting >>> feat_edges.plot(line_width=10)
See the Extract Edges for more examples using this filter.