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.. jupyter-execute::
:hide-code:
# jupyterlab boiler plate setup
import pyvista
pyvista.set_plot_theme('document')
pyvista.set_jupyter_backend('static')
pyvista.global_theme.window_size = [600, 400]
pyvista.global_theme.axes.show = False
pyvista.global_theme.anti_aliasing = 'fxaa'
pyvista.global_theme.show_scalar_bar = False
Gridded Data
============
Gridded datasets in PyVista are datasets with topologically regular
point spacing. These are less flexible than :ref:`point_sets_api`,
but are much more memory efficient as they can be described with a
handful of parameters rather than having to explicitly describe the
points and geometry of the dataset.
PyVista gridded data is composed of the
:class:`pyvista.RectilinearGrid` and :class:`pyvista.ImageData`
classes. These classes inherit from the :vtk:`vtkRectilinearGrid` and
:vtk:`vtkImageData` classes and are commonly used to model images or
volumetric data.
A :class:`pyvista.RectilinearGrid` is used for modeling datasets with
variable spacing in the three coordinate directions.
.. jupyter-execute::
:hide-code:
from pyvista import demos
demos.plot_datasets('RectilinearGrid')
A :class:`pyvista.ImageData` is used for modeling datasets with
uniform spacing in the three coordinate directions.
.. jupyter-execute::
:hide-code:
from pyvista import demos
demos.plot_datasets('ImageData')
**Class Descriptions**
The following table describes PyVista's grid set classes. These
classes inherit all methods from their corresponding VTK
:vtk:`vtkRectilinearGrid` and :vtk:`vtkImageData` superclasses.
.. autosummary::
:toctree: _autosummary
pyvista.RectilinearGrid
pyvista.ImageData
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