tessellate#
- UnstructuredGridFilters.tessellate(max_n_subdivide=3, merge_points=True, progress_bar=False)#
Tessellate a mesh.
This filter approximates nonlinear FEM-like elements with linear simplices. The output mesh will have geometry and any fields specified as attributes in the input mesh’s point data. The attribute’s copy flags are honored, except for normals.
For more details see vtkTessellatorFilter.
- Parameters
- max_n_subdivide
int
,optional
Maximum number of subdivisions. Defaults to
3
.- merge_pointsbool,
optional
The adaptive tessellation will output vertices that are not shared among cells, even where they should be. This can be corrected to some extent. Defaults to
True
.- progress_barbool,
optional
Display a progress bar to indicate progress.
- max_n_subdivide
- Returns
pyvista.DataSet
Dataset with tessellated mesh. Return type matches input.
Examples
First, plot the high order FEM-like elements.
>>> import pyvista >>> import numpy as np >>> points = np.array( ... [ ... [0.0, 0.0, 0.0], ... [2.0, 0.0, 0.0], ... [1.0, 2.0, 0.0], ... [1.0, 0.5, 0.0], ... [1.5, 1.5, 0.0], ... [0.5, 1.5, 0.0], ... ] ... ) >>> cells = np.array([6, 0, 1, 2, 3, 4, 5]) >>> cell_types = np.array([69]) >>> mesh = pyvista.UnstructuredGrid(cells, cell_types, points) >>> mesh.plot(show_edges=True, line_width=5)
Now, plot the tessellated mesh.
>>> tessellated = mesh.tessellate() >>> tessellated.clear_data() # cleans up plot >>> tessellated.plot(show_edges=True, line_width=5)