pyvista.DataSetFilters#
- class DataSetFilters(*args, **kwargs)[source]#
A set of common filters that can be applied to any vtkDataSet.
Methods
DataSetFilters.align(target[, ...])Align a dataset to another.
DataSetFilters.cell_centers([vertex, ...])Generate points at the center of the cells in this dataset.
Transform cell data into point data.
DataSetFilters.clip([normal, origin, ...])Clip a dataset by a plane by specifying the origin and normal.
DataSetFilters.clip_box([bounds, invert, ...])Clip a dataset by a bounding box defined by the bounds.
DataSetFilters.clip_scalar([scalars, ...])Clip a dataset by a scalar.
DataSetFilters.clip_surface(surface[, ...])Clip any mesh type using a
pyvista.PolyDatasurface mesh.Compute a function of (geometric) quality for each cell of a mesh.
DataSetFilters.compute_cell_sizes([length, ...])Compute sizes for 1D (length), 2D (area) and 3D (volume) cells.
DataSetFilters.compute_derivative([scalars, ...])Compute derivative-based quantities of point/cell scalar field.
Compute the implicit distance from the points to a surface.
DataSetFilters.connectivity([...])Find and label connected regions.
DataSetFilters.contour([isosurfaces, ...])Contour an input self by an array.
DataSetFilters.ctp([pass_cell_data, ...])Transform cell data into point data.
Return a decimated version of a triangulation of the boundary.
DataSetFilters.delaunay_3d([alpha, tol, ...])Construct a 3D Delaunay triangulation of the mesh.
DataSetFilters.elevation([low_point, ...])Generate scalar values on a dataset.
DataSetFilters.explode([factor])Push each individual cell away from the center of the dataset.
Extract all the internal/external edges of the dataset as PolyData.
DataSetFilters.extract_cells(ind[, invert, ...])Return a subset of the grid.
DataSetFilters.extract_cells_by_type(cell_types)Extract cells of a specified type.
Extract edges from the surface of the mesh.
DataSetFilters.extract_geometry([extent, ...])Extract the outer surface of a volume or structured grid dataset.
DataSetFilters.extract_largest([inplace, ...])Extract largest connected set in mesh.
DataSetFilters.extract_points(ind[, ...])Return a subset of the grid (with cells) that contains any of the given point indices.
Extract surface mesh of the grid.
DataSetFilters.glyph([orient, scale, ...])Copy a geometric representation (called a glyph) to the input dataset.
DataSetFilters.integrate_data([progress_bar])Integrate point and cell data.
DataSetFilters.interpolate(target[, ...])Interpolate values onto this mesh from a given dataset.
DataSetFilters.merge([grid, merge_points, ...])Join one or many other grids to this grid.
DataSetFilters.outline([generate_faces, ...])Produce an outline of the full extent for the input dataset.
DataSetFilters.outline_corners([factor, ...])Produce an outline of the corners for the input dataset.
DataSetFilters.pack_labels([sort, scalars, ...])Renumber labeled data such that labels are contiguous.
DataSetFilters.partition(n_partitions[, ...])Break down input dataset into a requested number of partitions.
DataSetFilters.plot_over_circular_arc(...[, ...])Sample a dataset along a circular arc and plot it.
Sample a dataset along a resolution circular arc defined by a normal and polar vector and plot it.
DataSetFilters.plot_over_line(pointa, pointb)Sample a dataset along a high resolution line and plot.
Transform point data into cell data.
DataSetFilters.probe(points[, tolerance, ...])Sample data values at specified point locations.
DataSetFilters.ptc([pass_point_data, ...])Transform point data into cell data.
DataSetFilters.reflect(normal[, point, ...])Reflect a dataset across a plane.
DataSetFilters.sample(target[, tolerance, ...])Resample array data from a passed mesh onto this mesh.
Sample a dataset over a circular arc.
Sample a dataset over a circular arc defined by a normal and polar vector and plot it.
DataSetFilters.sample_over_line(pointa, pointb)Sample a dataset onto a line.
Sample a dataset onto a multiple lines.
Mark points as to whether they are inside a closed surface.
Return a copy of the dataset with separated cells with no shared points.
DataSetFilters.shrink([shrink_factor, ...])Shrink the individual faces of a mesh.
DataSetFilters.slice([normal, origin, ...])Slice a dataset by a plane at the specified origin and normal vector orientation.
DataSetFilters.slice_along_axis([n, axis, ...])Create many slices of the input dataset along a specified axis.
DataSetFilters.slice_along_line(line[, ...])Slice a dataset using a polyline/spline as the path.
DataSetFilters.slice_implicit(implicit_function)Slice a dataset by a VTK implicit function.
DataSetFilters.slice_orthogonal([x, y, z, ...])Create three orthogonal slices through the dataset on the three cartesian planes.
DataSetFilters.sort_labels([scalars, ...])Sort labeled data by number of points or cells.
DataSetFilters.split_bodies([label, ...])Find, label, and split connected bodies/volumes.
DataSetFilters.streamlines([vectors, ...])Integrate a vector field to generate streamlines.
Generate evenly spaced streamlines on a 2D dataset.
Generate streamlines of vectors from the points of a source mesh.
DataSetFilters.surface_indices([progress_bar])Return the surface indices of a grid.
DataSetFilters.tessellate([max_n_subdivide, ...])Tessellate a mesh.
Texture map this dataset to a user defined plane.
Texture map this dataset to a user defined sphere.
DataSetFilters.threshold([value, scalars, ...])Apply a
vtkThresholdfilter to the input dataset.DataSetFilters.threshold_percent([percent, ...])Threshold the dataset by a percentage of its range on the active scalars array.
DataSetFilters.transform(trans[, ...])Transform this mesh with a 4x4 transform.
DataSetFilters.triangulate([inplace, ...])Return an all triangle mesh.
DataSetFilters.warp_by_scalar([scalars, ...])Warp the dataset's points by a point data scalars array's values.
DataSetFilters.warp_by_vector([vectors, ...])Warp the dataset's points by a point data vectors array's values.