pyvista.DataSetAttributes#
- class DataSetAttributes(
- vtkobject: _vtk.vtkFieldData,
- dataset: _vtk.vtkDataSet | DataSet,
- association: FieldAssociation,
Python friendly wrapper of
vtk.DataSetAttributes
.This class provides the ability to pick one of the present arrays as the currently active array for each attribute type by implementing a
dict
like interface.When adding data arrays but not desiring to set them as active scalars or vectors, use
DataSetAttributes.set_array()
.When adding directional data (such as velocity vectors), use
DataSetAttributes.set_vectors()
.When adding non-directional data (such as temperature values or multi-component scalars like RGBA values), use
DataSetAttributes.set_scalars()
.Changed in version 0.32.0: The
[]
operator no longer allows integers. UseDataSetAttributes.get_array()
to retrieve an array using an index.- Parameters:
- vtkobject
vtkFieldData
The vtk object to wrap as a DataSetAttribute, usually an instance of
vtk.vtkCellData
,vtk.vtkPointData
, orvtk.vtkFieldData
.- dataset
vtkDataSet
The vtkDataSet containing the vtkobject.
- association
FieldAssociation
The array association type of the vtkobject.
- vtkobject
Notes
When printing out the point arrays, you can see which arrays are the active scalars, vectors, normals, and texture coordinates. In the arrays list,
SCALARS
denotes that these are the active scalars,VECTORS
denotes that these arrays are tagged as the active vectors data (i.e. data with magnitude and direction) and so on.Examples
Store data with point association in a DataSet.
>>> import pyvista as pv >>> mesh = pv.Cube() >>> mesh.point_data['my_data'] = range(mesh.n_points) >>> data = mesh.point_data['my_data'] >>> data pyvista_ndarray([0, 1, 2, 3, 4, 5, 6, 7])
Change the data array and show that this is reflected in the DataSet.
>>> data[:] = 0 >>> mesh.point_data['my_data'] pyvista_ndarray([0, 0, 0, 0, 0, 0, 0, 0])
Remove the array.
>>> del mesh.point_data['my_data'] >>> 'my_data' in mesh.point_data False
Print the available arrays from dataset attributes.
>>> import numpy as np >>> mesh = pv.Plane(i_resolution=1, j_resolution=1) >>> mesh.point_data.set_array(range(4), 'my-data') >>> mesh.point_data.set_array(range(5, 9), 'my-other-data') >>> vectors0 = np.random.default_rng().random((4, 3)) >>> mesh.point_data.set_vectors(vectors0, 'vectors0') >>> vectors1 = np.random.default_rng().random((4, 3)) >>> mesh.point_data.set_vectors(vectors1, 'vectors1') >>> mesh.point_data pyvista DataSetAttributes Association : POINT Active Scalars : None Active Vectors : vectors1 Active Texture : TextureCoordinates Active Normals : Normals Contains arrays : Normals float32 (4, 3) NORMALS TextureCoordinates float32 (4, 2) TCOORDS my-data int64 (4,) my-other-data int64 (4,) vectors1 float64 (4, 3) VECTORS vectors0 float64 (4, 3)
Methods
Remove all arrays in this object.
DataSetAttributes.get
(key[, value])Return the value of the item with the specified key.
Get an array in this object.
Return a list of (array name, array value) tuples.
Return the names of the arrays as a list.
DataSetAttributes.pop
(key[, default])Remove an array and return it.
Remove an array.
DataSetAttributes.set_array
(data, name[, ...])Add an array to this object.
DataSetAttributes.set_scalars
(scalars[, ...])Set the active scalars of the dataset with an array.
DataSetAttributes.set_vectors
(vectors, name)Set the active vectors of this data attribute.
DataSetAttributes.update
(array_dict)Update arrays in this object from another dictionary or dataset attributes.
Return the arrays as a list.
Attributes
Return the normals.
Return the name of the normals array.
Return the active scalars.
Return name of the active scalars.
Return the active texture coordinates array.
Return the name of the active texture coordinates array.
Return the active texture coordinates array.
Return the name of the active texture coordinates array.
Return the active vectors as a pyvista_ndarray.
Return name of the active vectors.
Return the length data should be when added to the dataset.