pyvista.UnstructuredGridFilters

class UnstructuredGridFilters(*args, **kwargs)

An internal class to manage filters/algorithms for unstructured grid datasets.

Methods

UnstructuredGridFilters.cell_centers([...])	Generate points at the center of the cells in this dataset.
UnstructuredGridFilters.cell_data_to_point_data([...])	Transform cell data into point data.
UnstructuredGridFilters.clip([normal, ...])	Clip a dataset by a plane by specifying the origin and normal.
UnstructuredGridFilters.clip_box([bounds, ...])	Clip a dataset by a bounding box defined by the bounds.
UnstructuredGridFilters.clip_scalar([...])	Clip a dataset by a scalar.
UnstructuredGridFilters.clip_surface(surface)	Clip any mesh type using a pyvista.PolyData surface mesh.
UnstructuredGridFilters.compute_cell_quality([...])	Compute a function of (geometric) quality for each cell of a mesh.
UnstructuredGridFilters.compute_cell_sizes([...])	Compute sizes for 1D (length), 2D (area) and 3D (volume) cells.
UnstructuredGridFilters.compute_derivative([...])	Compute derivative-based quantities of point/cell scalar field.
UnstructuredGridFilters.compute_implicit_distance(surface)	Compute the implicit distance from the points to a surface.
UnstructuredGridFilters.connectivity([...])	Find and label connected bodies/volumes.
UnstructuredGridFilters.contour([...])	Contour an input self by an array.
UnstructuredGridFilters.ctp([...])	Transform cell data into point data.
UnstructuredGridFilters.decimate_boundary([...])	Return a decimated version of a triangulation of the boundary.
UnstructuredGridFilters.delaunay_2d([tol, ...])	Apply a delaunay 2D filter along the best fitting plane.
UnstructuredGridFilters.delaunay_3d([alpha, ...])	Construct a 3D Delaunay triangulation of the mesh.
UnstructuredGridFilters.elevation([...])	Generate scalar values on a dataset.
UnstructuredGridFilters.extract_all_edges([...])	Extract all the internal/external edges of the dataset as PolyData.
UnstructuredGridFilters.extract_cells(ind[, ...])	Return a subset of the grid.
UnstructuredGridFilters.extract_feature_edges([...])	Extract edges from the surface of the mesh.
UnstructuredGridFilters.extract_geometry([...])	Extract the outer surface of a volume or structured grid dataset.
UnstructuredGridFilters.extract_largest([...])	Extract largest connected set in mesh.
UnstructuredGridFilters.extract_points(ind)	Return a subset of the grid (with cells) that contains any of the given point indices.
UnstructuredGridFilters.extract_surface([...])	Extract surface mesh of the grid.
UnstructuredGridFilters.glyph([orient, ...])	Copy a geometric representation (called a glyph) to the input dataset.
UnstructuredGridFilters.interpolate(target)	Interpolate values onto this mesh from a given dataset.
UnstructuredGridFilters.merge([grid, ...])	Join one or many other grids to this grid.
UnstructuredGridFilters.outline([...])	Produce an outline of the full extent for the input dataset.
UnstructuredGridFilters.outline_corners([...])	Produce an outline of the corners for the input dataset.
UnstructuredGridFilters.plot_over_circular_arc(...)	Sample a dataset along a circular arc and plot it.
UnstructuredGridFilters.plot_over_circular_arc_normal(center)	Sample a dataset along a resolution circular arc defined by a normal and polar vector and plot it.
UnstructuredGridFilters.plot_over_line(...)	Sample a dataset along a high resolution line and plot.
UnstructuredGridFilters.point_data_to_cell_data([...])	Transform point data into cell data.
UnstructuredGridFilters.probe(points[, ...])	Sample data values at specified point locations.
UnstructuredGridFilters.ptc([...])	Transform point data into cell data.
UnstructuredGridFilters.reconstruct_surface([...])	Reconstruct a surface from the points in this dataset.
UnstructuredGridFilters.reflect(normal[, ...])	Reflect a dataset across a plane.
UnstructuredGridFilters.sample(target[, ...])	Resample array data from a passed mesh onto this mesh.
UnstructuredGridFilters.sample_over_circular_arc(...)	Sample a dataset over a circular arc.
UnstructuredGridFilters.sample_over_circular_arc_normal(center)	Sample a dataset over a circular arc defined by a normal and polar vector and plot it.
UnstructuredGridFilters.sample_over_line(...)	Sample a dataset onto a line.
UnstructuredGridFilters.select_enclosed_points(surface)	Mark points as to whether they are inside a closed surface.
UnstructuredGridFilters.shrink([...])	Shrink the individual faces of a mesh.
UnstructuredGridFilters.slice([normal, ...])	Slice a dataset by a plane at the specified origin and normal vector orientation.
UnstructuredGridFilters.slice_along_axis([...])	Create many slices of the input dataset along a specified axis.
UnstructuredGridFilters.slice_along_line(line)	Slice a dataset using a polyline/spline as the path.
UnstructuredGridFilters.slice_orthogonal([...])	Create three orthogonal slices through the dataset on the three cartesian planes.
UnstructuredGridFilters.split_bodies([...])	Find, label, and split connected bodies/volumes.
UnstructuredGridFilters.streamlines([...])	Integrate a vector field to generate streamlines.
UnstructuredGridFilters.streamlines_evenly_spaced_2D([...])	Generate evenly spaced streamlines on a 2D dataset.
UnstructuredGridFilters.streamlines_from_source(source)	Generate streamlines of vectors from the points of a source mesh.
UnstructuredGridFilters.surface_indices([...])	Return the surface indices of a grid.
UnstructuredGridFilters.texture_map_to_plane([...])	Texture map this dataset to a user defined plane.
UnstructuredGridFilters.texture_map_to_sphere([...])	Texture map this dataset to a user defined sphere.
UnstructuredGridFilters.threshold([value, ...])	Apply a vtkThreshold filter to the input dataset.
UnstructuredGridFilters.threshold_percent([...])	Threshold the dataset by a percentage of its range on the active scalars array.
UnstructuredGridFilters.transform(trans[, ...])	Transform this mesh with a 4x4 transform.
UnstructuredGridFilters.triangulate([...])	Return an all triangle mesh.
UnstructuredGridFilters.warp_by_scalar([...])	Warp the dataset's points by a point data scalars array's values.
UnstructuredGridFilters.warp_by_vector([...])	Warp the dataset's points by a point data vectors array's values.