pyvista.UniformGridFilters#
- class UniformGridFilters(*args, **kwargs)[source]#
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.
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.PolyDatasurface mesh.Compute a function of (geometric) quality for each cell of a mesh.
Compute sizes for 1D (length), 2D (area) and 3D (volume) cells.
Compute derivative-based quantities of point/cell scalar field.
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.
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.explode([factor])Push each individual cell away from the center of the dataset.
Extract all the internal/external edges of the dataset as PolyData.
UniformGridFilters.extract_cells(ind[, ...])Return a subset of the grid.
Extract edges from the surface of the mesh.
Extract the outer surface of a volume or structured grid dataset.
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).
Extract surface mesh of the grid.
UniformGridFilters.fft([...])Apply a fast Fourier transform (FFT) to the active scalars.
Smooth the data with a Gaussian kernel.
UniformGridFilters.glyph([orient, scale, ...])Copy a geometric representation (called a glyph) to the input dataset.
UniformGridFilters.high_pass(x_cutoff, ...)Perform a Butterworth high pass filter in the frequency domain.
Dilates one value and erodes another.
UniformGridFilters.image_threshold(threshold)Apply a threshold to scalar values in a uniform grid.
UniformGridFilters.integrate_data([progress_bar])Integrate point and cell data.
UniformGridFilters.interpolate(target[, ...])Interpolate values onto this mesh from a given dataset.
UniformGridFilters.low_pass(x_cutoff, ...[, ...])Perform a Butterworth low pass filter in the frequency domain.
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.partition(n_partitions[, ...])Break down input dataset into a requested number of partitions.
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.
UniformGridFilters.plot_over_line(pointa, pointb)Sample a dataset along a high resolution line and plot.
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.rfft([...])Apply a reverse fast Fourier transform (RFFT) to the active scalars.
UniformGridFilters.sample(target[, ...])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.
UniformGridFilters.sample_over_line(pointa, ...)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.
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_implicit(...[, ...])Slice a dataset by a VTK implicit function.
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.
Generate evenly spaced streamlines on a 2D dataset.
Generate streamlines of vectors from the points of a source mesh.
Return the surface indices of a grid.
Tessellate a mesh.
Texture map this dataset to a user defined plane.
Texture map this dataset to a user defined sphere.
UniformGridFilters.threshold([value, ...])Apply a
vtkThresholdfilter to the input dataset.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.