pyvista.ImageData

class ImageData(*args, **kwargs)

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.

Changed in version 0.37.0: The dims parameter has been renamed to dimensions.

Parameters:

uinputstr, vtk.vtkImageData, pyvista.ImageData, optional

Filename or dataset to initialize the uniform grid from. If set, remainder of arguments are ignored.

dimensionssequence[int], optional

Dimensions of the uniform grid.

spacingsequence[float], default: (1.0, 1.0, 1.0)

Spacing of the uniform grid in each dimension. Must be positive.

originsequence[float], default: (0.0, 0.0, 0.0)

Origin of the uniform grid.

deepbool, default: False

Whether to deep copy a vtk.vtkImageData object. Keyword only.

direction_matrixRotationLike, optional

The direction matrix is a 3x3 matrix which controls the orientation of the image data.

Examples

Create an empty ImageData.

>>> import pyvista as pv
>>> grid = pv.ImageData()

Initialize from a vtk.vtkImageData object.

>>> import vtk
>>> vtkgrid = vtk.vtkImageData()
>>> grid = pv.ImageData(vtkgrid)

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

>>> grid = pv.ImageData(dimensions=(10, 10, 10))

Initialize using dimensions and spacing.

>>> grid = pv.ImageData(
...     dimensions=(10, 10, 10),
...     spacing=(2, 1, 5),
... )

Initialize using dimensions, spacing, and an origin.

>>> grid = pv.ImageData(
...     dimensions=(10, 10, 10),
...     spacing=(2, 1, 5),
...     origin=(10, 35, 50),
... )

Initialize from another ImageData.

>>> grid = pv.ImageData(
...     dimensions=(10, 10, 10),
...     spacing=(2, 1, 5),
...     origin=(10, 35, 50),
... )
>>> grid_from_grid = pv.ImageData(grid)
>>> grid_from_grid == grid
True

Methods

ImageData.cast_to_rectilinear_grid()	Cast this uniform grid to a rectilinear grid.
ImageData.cast_to_structured_grid()	Cast this uniform grid to a structured grid.
ImageData.to_tetrahedra([tetra_per_cell, ...])	Create a tetrahedral mesh structured grid.

Attributes

ImageData.active_normals	Return the active normals as an array.
ImageData.active_scalars	Return the active scalars as an array.
ImageData.active_scalars_info	Return the active scalar's association and name.
ImageData.active_scalars_name	Return the name of the active scalars.
ImageData.active_t_coords	Return the active texture coordinates on the points.
ImageData.active_tensors	Return the active tensors array.
ImageData.active_tensors_info	Return the active tensor's field and name: [field, name].
ImageData.active_tensors_name	Return the name of the active tensor array.
ImageData.active_texture_coordinates	Return the active texture coordinates on the points.
ImageData.active_vectors	Return the active vectors array.
ImageData.active_vectors_info	Return the active vector's association and name.
ImageData.active_vectors_name	Return the name of the active vectors array.
ImageData.actual_memory_size	Return the actual size of the dataset object.
ImageData.area	Return the mesh area if 2D.
ImageData.array_names	Return a list of array names for the dataset.
ImageData.arrows	Return a glyph representation of the active vector data as arrows.
ImageData.bounds	Return the bounding box of this dataset.
ImageData.cell	A generator that provides an easy way to loop over all cells.
ImageData.cell_data	Return cell data as DataSetAttributes.
ImageData.center	Return the center of the bounding box.
ImageData.dimensionality	Return the dimensionality of the grid.
ImageData.dimensions	Return the grid's dimensions.
ImageData.direction_matrix	Set or get the direction matrix.
ImageData.extent	Return or set the extent of the ImageData.
ImageData.field_data	Return FieldData as DataSetAttributes.
ImageData.index_to_physical_matrix	Get 4x4 matrix to convert coordinates from index space (ijk) to physical space (xyz).
ImageData.length	Return the length of the diagonal of the bounding box.
ImageData.memory_address	Get address of the underlying VTK C++ object.
ImageData.n_arrays	Return the number of arrays present in the dataset.
ImageData.n_cells	Return the number of cells in the entire dataset.
ImageData.n_points	Return the number of points in the entire dataset.
ImageData.number_of_cells	Return the number of cells.
ImageData.number_of_points	Return the number of points.
ImageData.origin	Return the origin of the grid (bottom southwest corner).
ImageData.physical_to_index_matrix	Get 4x4 matrix to convert coordinates from physical space (xyz) to index space (ijk).
ImageData.point_data	Return point data as DataSetAttributes.
ImageData.points	Build a copy of the implicitly defined points as a numpy array.
ImageData.spacing	Return or set the spacing for each axial direction.
ImageData.user_dict	Set or return a user-specified data dictionary.
ImageData.volume	Return the mesh volume.
ImageData.x	Return all the X points.
ImageData.y	Return all the Y points.
ImageData.z	Return all the Z points.