pyvista.UniformGrid#

class UniformGrid(uinput=None, *args, dims=None, spacing=(1.0, 1.0, 1.0), origin=(0.0, 0.0, 0.0))[source]#

Models datasets with uniform spacing in the three coordinate directions.

Can be initialized in one of several ways:

Create empty grid
Initialize from a vtk.vtkImageData object
Initialize based on dimensions, cell spacing, and origin.

Changed in version 0.33.0: First argument must now be either a path or vtk.vtkImageData. Use keyword arguments to specify the dimensions, spacing, and origin of the uniform grid.

Parameters

uinputstr, vtk.vtkImageData, pyvista.UniformGrid, optional: Filename or dataset to initialize the uniform grid from. If set, remainder of arguments are ignored.
dimsiterable, optional: Dimensions of the uniform grid.
spacingiterable, optional: Spacing of the uniform in each dimension. Defaults to (1.0, 1.0, 1.0). Must be positive.
originiterable, optional: Origin of the uniform grid. Defaults to (0.0, 0.0, 0.0).

Examples

Create an empty UniformGrid.

>>> import pyvista
>>> grid = pyvista.UniformGrid()

Initialize from a vtk.vtkImageData object.

>>> import vtk
>>> vtkgrid = vtk.vtkImageData()
>>> grid = pyvista.UniformGrid(vtkgrid)

Initialize using using just the grid dimensions and default spacing and origin. These must be keyword arguments.

>>> grid = pyvista.UniformGrid(dims=(10, 10, 10))

Initialize using dimensions and spacing.

>>> grid = pyvista.UniformGrid(
...     dims=(10, 10, 10),
...     spacing=(2, 1, 5),
... )

Initialize using dimensions, spacing, and an origin.

>>> grid = pyvista.UniformGrid(
...     dims=(10, 10, 10),
...     spacing=(2, 1, 5),
...     origin=(10, 35, 50),
... )

Initialize from another UniformGrid.

>>> grid = pyvista.UniformGrid(
...     dims=(10, 10, 10),
...     spacing=(2, 1, 5),
...     origin=(10, 35, 50),
... )
>>> grid_from_grid = pyvista.UniformGrid(grid)
>>> grid_from_grid == grid
True

Methods

`UniformGrid.add_field_array`(scalars, name[, ...])	Add field data.
`UniformGrid.add_field_data`(array, name[, deep])	Add field data.
`UniformGrid.cast_to_pointset`([deep])	Get a new representation of this object as a `pyvista.PointSet`.
`UniformGrid.cast_to_rectilinear_grid`()	Cast this uniform grid to a rectilinear grid.
`UniformGrid.cast_to_structured_grid`()	Cast this uniform grid to a structured grid.
`UniformGrid.cast_to_unstructured_grid`()	Get a new representation of this object as a `pyvista.UnstructuredGrid`.
`UniformGrid.cell_bounds`(ind)	Return the bounding box of a cell.
`UniformGrid.cell_centers`([vertex, progress_bar])	Generate points at the center of the cells in this dataset.
`UniformGrid.cell_data_to_point_data`([...])	Transform cell data into point data.
`UniformGrid.cell_n_points`(ind)	Return the number of points in a cell.
`UniformGrid.cell_point_ids`(ind)	Return the point ids in a cell.
`UniformGrid.cell_points`(ind)	Return the points in a cell.
`UniformGrid.cell_type`(ind)	Return the type of a cell.
`UniformGrid.clear_arrays`()	Remove all arrays from point/cell/field data.
`UniformGrid.clear_cell_arrays`()	Remove all cell data.
`UniformGrid.clear_cell_data`()	Remove all cell arrays.
`UniformGrid.clear_data`()	Remove all arrays from point/cell/field data.
`UniformGrid.clear_field_arrays`()	Remove all field data.
`UniformGrid.clear_field_data`()	Remove all field data.
`UniformGrid.clear_point_arrays`()	Remove all point data.
`UniformGrid.clear_point_data`()	Remove all point arrays.
`UniformGrid.clear_textures`()	Clear the textures from this mesh.
`UniformGrid.clip`([normal, origin, invert, ...])	Clip a dataset by a plane by specifying the origin and normal.
`UniformGrid.clip_box`([bounds, invert, ...])	Clip a dataset by a bounding box defined by the bounds.
`UniformGrid.clip_scalar`([scalars, invert, ...])	Clip a dataset by a scalar.
`UniformGrid.clip_surface`(surface[, invert, ...])	Clip any mesh type using a `pyvista.PolyData` surface mesh.
`UniformGrid.compute_cell_quality`([...])	Compute a function of (geometric) quality for each cell of a mesh.
`UniformGrid.compute_cell_sizes`([length, ...])	Compute sizes for 1D (length), 2D (area) and 3D (volume) cells.
`UniformGrid.compute_derivative`([scalars, ...])	Compute derivative-based quantities of point/cell scalar field.
`UniformGrid.compute_implicit_distance`(surface)	Compute the implicit distance from the points to a surface.
`UniformGrid.connectivity`([largest, progress_bar])	Find and label connected bodies/volumes.
`UniformGrid.contour`([isosurfaces, scalars, ...])	Contour an input self by an array.
`UniformGrid.copy`([deep])	Return a copy of the object.
`UniformGrid.copy_attributes`(dataset)	Copy the data attributes of the input dataset object.
`UniformGrid.copy_meta_from`(ido[, deep])	Copy pyvista meta data onto this object from another object.
`UniformGrid.copy_structure`(dataset)	Copy the structure (geometry and topology) of the input dataset object.
`UniformGrid.ctp`([pass_cell_data, progress_bar])	Transform cell data into point data.
`UniformGrid.decimate_boundary`([...])	Return a decimated version of a triangulation of the boundary.
`UniformGrid.deep_copy`(to_copy)	Overwrite this data object with another data object as a deep copy.
`UniformGrid.delaunay_3d`([alpha, tol, ...])	Construct a 3D Delaunay triangulation of the mesh.
`UniformGrid.elevation`([low_point, ...])	Generate scalar values on a dataset.
`UniformGrid.extract_all_edges`([progress_bar])	Extract all the internal/external edges of the dataset as PolyData.
`UniformGrid.extract_cells`(ind[, progress_bar])	Return a subset of the grid.
`UniformGrid.extract_feature_edges`([...])	Extract edges from the surface of the mesh.
`UniformGrid.extract_geometry`([progress_bar])	Extract the outer surface of a volume or structured grid dataset.
`UniformGrid.extract_largest`([inplace, ...])	Extract largest connected set in mesh.
`UniformGrid.extract_points`(ind[, ...])	Return a subset of the grid (with cells) that contains any of the given point indices.
`UniformGrid.extract_subset`(voi[, rate, ...])	Select piece (e.g., volume of interest).
`UniformGrid.extract_surface`([pass_pointid, ...])	Extract surface mesh of the grid.
`UniformGrid.fft`([output_scalars_name, ...])	Apply a fast Fourier transform (FFT) to the active scalars.
`UniformGrid.find_cells_along_line`(pointa, pointb)	Find the index of cells in this mesh along a line.
`UniformGrid.find_cells_within_bounds`(bounds)	Find the index of cells in this mesh within bounds.
`UniformGrid.find_closest_cell`(point[, ...])	Find index of closest cell in this mesh to the given point.
`UniformGrid.find_closest_point`(point[, n])	Find index of closest point in this mesh to the given point.
`UniformGrid.find_containing_cell`(point)	Find index of a cell that contains the given point.
`UniformGrid.flip_normal`(normal[, point, ...])	Flip mesh about the normal.
`UniformGrid.flip_x`([point, ...])	Flip mesh about the x-axis.
`UniformGrid.flip_y`([point, ...])	Flip mesh about the y-axis.
`UniformGrid.flip_z`([point, ...])	Flip mesh about the z-axis.
`UniformGrid.gaussian_smooth`([radius_factor, ...])	Smooth the data with a Gaussian kernel.
`UniformGrid.get_array`(name[, preference])	Search both point, cell and field data for an array.
`UniformGrid.get_array_association`(name[, ...])	Get the association of an array.
`UniformGrid.get_data_range`([arr_var, preference])	Get the non-NaN min and max of a named array.
`UniformGrid.glyph`([orient, scale, factor, ...])	Copy a geometric representation (called a glyph) to the input dataset.
`UniformGrid.head`([display, html])	Return the header stats of this dataset.
`UniformGrid.high_pass`(x_cutoff, y_cutoff, ...)	Perform a Butterworth high pass filter in the frequency domain.
`UniformGrid.image_dilate_erode`([...])	Dilates one value and erodes another.
`UniformGrid.image_threshold`(threshold[, ...])	Apply a threshold to scalar values in a uniform grid.
`UniformGrid.integrate_data`([progress_bar])	Integrate point and cell data.
`UniformGrid.interpolate`(target[, sharpness, ...])	Interpolate values onto this mesh from a given dataset.
`UniformGrid.low_pass`(x_cutoff, y_cutoff, ...)	Perform a Butterworth low pass filter in the frequency domain.
`UniformGrid.median_smooth`([kernel_size, ...])	Smooth data using a median filter.
`UniformGrid.merge`([grid, merge_points, ...])	Join one or many other grids to this grid.
`UniformGrid.outline`([generate_faces, ...])	Produce an outline of the full extent for the input dataset.
`UniformGrid.outline_corners`([factor, ...])	Produce an outline of the corners for the input dataset.
`UniformGrid.overwrite`(mesh)	Overwrite this dataset inplace with the new dataset's geometries and data.
`UniformGrid.plot`([off_screen, full_screen, ...])	Plot a PyVista, numpy, or vtk object.
`UniformGrid.plot_over_circular_arc`(pointa, ...)	Sample a dataset along a circular arc and plot it.
`UniformGrid.plot_over_circular_arc_normal`(center)	Sample a dataset along a resolution circular arc defined by a normal and polar vector and plot it.
`UniformGrid.plot_over_line`(pointa, pointb[, ...])	Sample a dataset along a high resolution line and plot.
`UniformGrid.point_data_to_cell_data`([...])	Transform point data into cell data.
`UniformGrid.point_is_inside_cell`(ind, point)	Return whether one or more points are inside a cell.
`UniformGrid.probe`(points[, tolerance, ...])	Sample data values at specified point locations.
`UniformGrid.ptc`([pass_point_data, progress_bar])	Transform point data into cell data.
`UniformGrid.reflect`(normal[, point, ...])	Reflect a dataset across a plane.
`UniformGrid.rename_array`(old_name, new_name)	Change array name by searching for the array then renaming it.
`UniformGrid.rfft`([output_scalars_name, ...])	Apply a reverse fast Fourier transform (RFFT) to the active scalars.
`UniformGrid.rotate_vector`(vector, angle[, ...])	Rotate mesh about a vector.
`UniformGrid.rotate_x`(angle[, point, ...])	Rotate mesh about the x-axis.
`UniformGrid.rotate_y`(angle[, point, ...])	Rotate mesh about the y-axis.
`UniformGrid.rotate_z`(angle[, point, ...])	Rotate mesh about the z-axis.
`UniformGrid.sample`(target[, tolerance, ...])	Resample array data from a passed mesh onto this mesh.
`UniformGrid.sample_over_circular_arc`(pointa, ...)	Sample a dataset over a circular arc.
`UniformGrid.sample_over_circular_arc_normal`(center)	Sample a dataset over a circular arc defined by a normal and polar vector and plot it.
`UniformGrid.sample_over_line`(pointa, pointb)	Sample a dataset onto a line.
`UniformGrid.sample_over_multiple_lines`(points)	Sample a dataset onto a multiple lines.
`UniformGrid.save`(filename[, binary, texture])	Save this vtk object to file.
`UniformGrid.scale`(xyz[, ...])	Scale the mesh.
`UniformGrid.select_enclosed_points`(surface)	Mark points as to whether they are inside a closed surface.
`UniformGrid.set_active_scalars`(name[, ...])	Find the scalars by name and appropriately sets it as active.
`UniformGrid.set_active_tensors`(name[, ...])	Find the tensors by name and appropriately sets it as active.
`UniformGrid.set_active_vectors`(name[, ...])	Find the vectors by name and appropriately sets it as active.
`UniformGrid.shallow_copy`(to_copy)	Shallow copy the given mesh to this mesh.
`UniformGrid.shrink`([shrink_factor, progress_bar])	Shrink the individual faces of a mesh.
`UniformGrid.slice`([normal, origin, ...])	Slice a dataset by a plane at the specified origin and normal vector orientation.
`UniformGrid.slice_along_axis`([n, axis, ...])	Create many slices of the input dataset along a specified axis.
`UniformGrid.slice_along_line`(line[, ...])	Slice a dataset using a polyline/spline as the path.
`UniformGrid.slice_orthogonal`([x, y, z, ...])	Create three orthogonal slices through the dataset on the three cartesian planes.
`UniformGrid.split_bodies`([label, progress_bar])	Find, label, and split connected bodies/volumes.
`UniformGrid.streamlines`([vectors, ...])	Integrate a vector field to generate streamlines.
`UniformGrid.streamlines_evenly_spaced_2D`([...])	Generate evenly spaced streamlines on a 2D dataset.
`UniformGrid.streamlines_from_source`(source)	Generate streamlines of vectors from the points of a source mesh.
`UniformGrid.surface_indices`([progress_bar])	Return the surface indices of a grid.
`UniformGrid.tessellate`([max_n_subdivide, ...])	Tessellate a mesh.
`UniformGrid.texture_map_to_plane`([origin, ...])	Texture map this dataset to a user defined plane.
`UniformGrid.texture_map_to_sphere`([center, ...])	Texture map this dataset to a user defined sphere.
`UniformGrid.threshold`([value, scalars, ...])	Apply a `vtkThreshold` filter to the input dataset.
`UniformGrid.threshold_percent`([percent, ...])	Threshold the dataset by a percentage of its range on the active scalars array.
`UniformGrid.transform`(trans[, ...])	Transform this mesh with a 4x4 transform.
`UniformGrid.translate`(xyz[, ...])	Translate the mesh.
`UniformGrid.triangulate`([inplace, progress_bar])	Return an all triangle mesh.
`UniformGrid.warp_by_scalar`([scalars, ...])	Warp the dataset's points by a point data scalars array's values.
`UniformGrid.warp_by_vector`([vectors, ...])	Warp the dataset's points by a point data vectors array's values.

Attributes

`UniformGrid.active_normals`	Return the active normals as an array.
`UniformGrid.active_scalars`	Return the active scalars as an array.
`UniformGrid.active_scalars_info`	Return the active scalar's association and name.
`UniformGrid.active_scalars_name`	Return the name of the active scalars.
`UniformGrid.active_t_coords`	Return or set the active texture coordinates on the points.
`UniformGrid.active_tensors`	Return the active tensors array.
`UniformGrid.active_tensors_info`	Return the active tensor's field and name: [field, name].
`UniformGrid.active_tensors_name`	Return the name of the active tensor array.
`UniformGrid.active_vectors`	Return the active vectors array.
`UniformGrid.active_vectors_info`	Return the active vector's association and name.
`UniformGrid.active_vectors_name`	Return the name of the active vectors array.
`UniformGrid.actual_memory_size`	Return the actual size of the dataset object.
`UniformGrid.array_names`	Return a list of array names for the dataset.
`UniformGrid.arrows`	Return a glyph representation of the active vector data as arrows.
`UniformGrid.bounds`	Return the bounding box of this dataset.
`UniformGrid.cell_arrays`	Return vtkCellData as DataSetAttributes.
`UniformGrid.cell_data`	Return vtkCellData as DataSetAttributes.
`UniformGrid.center`	Return the center of the bounding box.
`UniformGrid.dimensions`	Return the grid's dimensions.
`UniformGrid.extent`	Return or set the extent of the UniformGrid.
`UniformGrid.field_arrays`	Return vtkFieldData as DataSetAttributes.
`UniformGrid.field_data`	Return FieldData as DataSetAttributes.
`UniformGrid.length`	Return the length of the diagonal of the bounding box.
`UniformGrid.memory_address`	Get address of the underlying VTK C++ object.
`UniformGrid.n_arrays`	Return the number of arrays present in the dataset.
`UniformGrid.n_cells`	Return the number of cells in the entire dataset.
`UniformGrid.n_points`	Return the number of points in the entire dataset.
`UniformGrid.number_of_cells`	Return the number of cells.
`UniformGrid.number_of_points`	Return the number of points.
`UniformGrid.origin`	Return the origin of the grid (bottom southwest corner).
`UniformGrid.point_arrays`	Return vtkPointData as DataSetAttributes.
`UniformGrid.point_data`	Return vtkPointData as DataSetAttributes.
`UniformGrid.points`	Build a copy of the implicitly defined points as a numpy array.
`UniformGrid.spacing`	Return or set the spacing for each axial direction.
`UniformGrid.t_coords`	Return the active texture coordinates on the points.
`UniformGrid.textures`	Return a dictionary to hold compatible `vtk.vtkTexture` objects.
`UniformGrid.vectors`	Return active vectors.
`UniformGrid.volume`	Return the mesh volume.
`UniformGrid.x`	Return all the X points.
`UniformGrid.y`	Return all the Y points.
`UniformGrid.z`	Return all the Z points.