pyvista.UniformGridFilters

class UniformGridFilters(*args, **kwargs)

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

Methods

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