pyvista.PolyDataFilters

class PolyDataFilters(*args, **kwargs)

An internal class to manage filters/algorithms for polydata datasets.

Methods

PolyDataFilters.boolean_add(*args, **kwargs)	Merge two meshes together.
PolyDataFilters.boolean_cut(*args, **kwargs)	Cut two meshes.
PolyDataFilters.boolean_difference(other_mesh)	Perform a boolean difference operation between two meshes.
PolyDataFilters.boolean_intersection(other_mesh)	Perform a boolean intersection operation on two meshes.
PolyDataFilters.boolean_union(other_mesh[, ...])	Perform a boolean union operation on two meshes.
PolyDataFilters.cell_centers([vertex, ...])	Generate points at the center of the cells in this dataset.
PolyDataFilters.cell_data_to_point_data([...])	Transform cell data into point data.
PolyDataFilters.clean([point_merging, ...])	Clean the mesh.
PolyDataFilters.clip([normal, origin, ...])	Clip a dataset by a plane by specifying the origin and normal.
PolyDataFilters.clip_box([bounds, invert, ...])	Clip a dataset by a bounding box defined by the bounds.
PolyDataFilters.clip_closed_surface([...])	Clip a closed polydata surface with a plane.
PolyDataFilters.clip_scalar([scalars, ...])	Clip a dataset by a scalar.
PolyDataFilters.clip_surface(surface[, ...])	Clip any mesh type using a pyvista.PolyData surface mesh.
PolyDataFilters.collision(other_mesh[, ...])	Perform collision determination between two polyhedral surfaces.
PolyDataFilters.compute_arc_length([...])	Compute the arc length over the length of the probed line.
PolyDataFilters.compute_cell_quality([...])	Compute a function of (geometric) quality for each cell of a mesh.
PolyDataFilters.compute_cell_sizes([length, ...])	Compute sizes for 1D (length), 2D (area) and 3D (volume) cells.
PolyDataFilters.compute_derivative([...])	Compute derivative-based quantities of point/cell scalar field.
PolyDataFilters.compute_implicit_distance(surface)	Compute the implicit distance from the points to a surface.
PolyDataFilters.compute_normals([...])	Compute point and/or cell normals for a mesh.
PolyDataFilters.connectivity([largest, ...])	Find and label connected bodies/volumes.
PolyDataFilters.contour([isosurfaces, ...])	Contour an input self by an array.
PolyDataFilters.ctp([pass_cell_data, ...])	Transform cell data into point data.
PolyDataFilters.curvature([curv_type, ...])	Return the pointwise curvature of a mesh.
PolyDataFilters.decimate(target_reduction[, ...])	Reduce the number of triangles in a triangular mesh using vtkQuadricDecimation.
PolyDataFilters.decimate_boundary([...])	Return a decimated version of a triangulation of the boundary.
PolyDataFilters.decimate_pro(reduction[, ...])	Reduce the number of triangles in a triangular mesh.
PolyDataFilters.delaunay_2d([tol, alpha, ...])	Apply a 2D Delaunay filter along the best fitting plane.
PolyDataFilters.delaunay_3d([alpha, tol, ...])	Construct a 3D Delaunay triangulation of the mesh.
PolyDataFilters.edge_mask(angle[, progress_bar])	Return a mask of the points of a surface mesh that has a surface angle greater than angle.
PolyDataFilters.elevation([low_point, ...])	Generate scalar values on a dataset.
PolyDataFilters.extract_all_edges([progress_bar])	Extract all the internal/external edges of the dataset as PolyData.
PolyDataFilters.extract_cells(ind[, ...])	Return a subset of the grid.
PolyDataFilters.extract_feature_edges([...])	Extract edges from the surface of the mesh.
PolyDataFilters.extract_geometry([progress_bar])	Extract the outer surface of a volume or structured grid dataset.
PolyDataFilters.extract_largest([inplace, ...])	Extract largest connected set in mesh.
PolyDataFilters.extract_points(ind[, ...])	Return a subset of the grid (with cells) that contains any of the given point indices.
PolyDataFilters.extract_surface([...])	Extract surface mesh of the grid.
PolyDataFilters.extrude(vector[, capping, ...])	Sweep polygonal data creating a "skirt" from free edges.
PolyDataFilters.extrude_rotate([resolution, ...])	Sweep polygonal data creating "skirt" from free edges and lines, and lines from vertices.
PolyDataFilters.fill_holes(hole_size[, ...])	Fill holes in a pyvista.PolyData or vtk.vtkPolyData object.
PolyDataFilters.flip_normals()	Flip normals of a triangular mesh by reversing the point ordering.
PolyDataFilters.geodesic(start_vertex, ...)	Calculate the geodesic path between two vertices using Dijkstra's algorithm.
PolyDataFilters.geodesic_distance(...[, ...])	Calculate the geodesic distance between two vertices using Dijkstra's algorithm.
PolyDataFilters.glyph([orient, scale, ...])	Copy a geometric representation (called a glyph) to the input dataset.
PolyDataFilters.interpolate(target[, ...])	Interpolate values onto this mesh from a given dataset.
PolyDataFilters.intersection(mesh[, ...])	Compute the intersection between two meshes.
PolyDataFilters.merge(dataset[, ...])	Merge this mesh with one or more datasets.
PolyDataFilters.multi_ray_trace(origins, ...)	Perform multiple ray trace calculations.
PolyDataFilters.outline([generate_faces, ...])	Produce an outline of the full extent for the input dataset.
PolyDataFilters.outline_corners([factor, ...])	Produce an outline of the corners for the input dataset.
PolyDataFilters.plot_boundaries([...])	Plot boundaries of a mesh.
PolyDataFilters.plot_curvature([curv_type])	Plot the curvature.
PolyDataFilters.plot_normals([show_mesh, ...])	Plot the point normals of a mesh.
PolyDataFilters.plot_over_circular_arc(...)	Sample a dataset along a circular arc and plot it.
PolyDataFilters.plot_over_circular_arc_normal(center)	Sample a dataset along a resolution circular arc defined by a normal and polar vector and plot it.
PolyDataFilters.plot_over_line(pointa, pointb)	Sample a dataset along a high resolution line and plot.
PolyDataFilters.point_data_to_cell_data([...])	Transform point data into cell data.
PolyDataFilters.probe(points[, tolerance, ...])	Sample data values at specified point locations.
PolyDataFilters.project_points_to_plane([...])	Project points of this mesh to a plane.
PolyDataFilters.ptc([pass_point_data, ...])	Transform point data into cell data.
PolyDataFilters.ray_trace(origin, end_point)	Perform a single ray trace calculation.
PolyDataFilters.reconstruct_surface([...])	Reconstruct a surface from the points in this dataset.
PolyDataFilters.reflect(normal[, point, ...])	Reflect a dataset across a plane.
PolyDataFilters.remove_points(remove[, ...])	Rebuild a mesh by removing points.
PolyDataFilters.ribbon([width, scalars, ...])	Create a ribbon of the lines in this dataset.
PolyDataFilters.sample(target[, tolerance, ...])	Resample array data from a passed mesh onto this mesh.
PolyDataFilters.sample_over_circular_arc(...)	Sample a dataset over a circular arc.
PolyDataFilters.sample_over_circular_arc_normal(center)	Sample a dataset over a circular arc defined by a normal and polar vector and plot it.
PolyDataFilters.sample_over_line(pointa, pointb)	Sample a dataset onto a line.
PolyDataFilters.sample_over_multiple_lines(points)	Sample a dataset onto a multiple lines.
PolyDataFilters.select_enclosed_points(surface)	Mark points as to whether they are inside a closed surface.
PolyDataFilters.shrink([shrink_factor, ...])	Shrink the individual faces of a mesh.
PolyDataFilters.slice([normal, origin, ...])	Slice a dataset by a plane at the specified origin and normal vector orientation.
PolyDataFilters.slice_along_axis([n, axis, ...])	Create many slices of the input dataset along a specified axis.
PolyDataFilters.slice_along_line(line[, ...])	Slice a dataset using a polyline/spline as the path.
PolyDataFilters.slice_orthogonal([x, y, z, ...])	Create three orthogonal slices through the dataset on the three cartesian planes.
PolyDataFilters.smooth([n_iter, ...])	Adjust point coordinates using Laplacian smoothing.
PolyDataFilters.split_bodies([label, ...])	Find, label, and split connected bodies/volumes.
PolyDataFilters.streamlines([vectors, ...])	Integrate a vector field to generate streamlines.
PolyDataFilters.streamlines_evenly_spaced_2D([...])	Generate evenly spaced streamlines on a 2D dataset.
PolyDataFilters.streamlines_from_source(source)	Generate streamlines of vectors from the points of a source mesh.
PolyDataFilters.strip([join, max_length, ...])	Strip poly data cells.
PolyDataFilters.subdivide(nsub[, subfilter, ...])	Increase the number of triangles in a single, connected triangular mesh.
PolyDataFilters.subdivide_adaptive([...])	Increase the number of triangles in a triangular mesh based on edge and/or area metrics.
PolyDataFilters.surface_indices([progress_bar])	Return the surface indices of a grid.
PolyDataFilters.tessellate([...])	Tessellate a mesh.
PolyDataFilters.texture_map_to_plane([...])	Texture map this dataset to a user defined plane.
PolyDataFilters.texture_map_to_sphere([...])	Texture map this dataset to a user defined sphere.
PolyDataFilters.threshold([value, scalars, ...])	Apply a vtkThreshold filter to the input dataset.
PolyDataFilters.threshold_percent([percent, ...])	Threshold the dataset by a percentage of its range on the active scalars array.
PolyDataFilters.transform(trans[, ...])	Transform this mesh with a 4x4 transform.
PolyDataFilters.triangulate([inplace, ...])	Return an all triangle mesh.
PolyDataFilters.tube([radius, scalars, ...])	Generate a tube around each input line.
PolyDataFilters.warp_by_scalar([scalars, ...])	Warp the dataset's points by a point data scalars array's values.
PolyDataFilters.warp_by_vector([vectors, ...])	Warp the dataset's points by a point data vectors array's values.