class_docstr: 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 :func:`DataSetAttributes.set_array`.
  
  When adding directional data (such as velocity vectors), use
  :func:`DataSetAttributes.set_vectors`.
  
  When adding non-directional data (such as temperature values or
  multi-component scalars like RGBA values), use
  :func:`DataSetAttributes.set_scalars`.
  
  .. versionchanged:: 0.32.0
      The ``[]`` operator no longer allows integers.  Use
      :func:`DataSetAttributes.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``, or
      ``vtk.vtkFieldData``.
  
  dataset : vtkDataSet
      The vtkDataSet containing the vtkobject.
  
  association : FieldAssociation
      The array association type of the 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)
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docstr: Update arrays in this object from another dictionary or dataset attributes.
  
  For each key, value given, add the pair. If it already exists, replace
  it with the new array. These arrays will be copied.
  
  Parameters
  ----------
  array_dict : dict, DataSetAttributes
      A dictionary of ``(array name, :class:`numpy.ndarray`)`` or a
      :class:`pyvista.DataSetAttributes`.
  
  Examples
  --------
  Add two arrays to ``point_data`` using ``update``.
  
  >>> import numpy as np
  >>> from pyvista import examples
  >>> mesh = examples.load_uniform()
  >>> n = len(mesh.point_data)
  >>> arrays = {
  ...     'foo': np.arange(mesh.n_points),
  ...     'rand': np.random.default_rng().random(mesh.n_points),
  ... }
  >>> mesh.point_data.update(arrays)
  >>> mesh.point_data
  pyvista DataSetAttributes
  Association     : POINT
  Active Scalars  : Spatial Point Data
  Active Vectors  : None
  Active Texture  : None
  Active Normals  : None
  Contains arrays :
      Spatial Point Data      float64    (1000,)              SCALARS
      foo                     int64      (1000,)
      rand                    float64    (1000,)
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code: def update(
      self,
      array_dict: Union[Dict[str, np.ndarray], "DataSetAttributes"],
  ):
      """Update arrays in this object from another dictionary or dataset attributes.
  
      For each key, value given, add the pair. If it already exists, replace
      it with the new array. These arrays will be copied.
  
      Parameters
      ----------
      array_dict : dict, DataSetAttributes
          A dictionary of ``(array name, :class:`numpy.ndarray`)`` or a
          :class:`pyvista.DataSetAttributes`.
  
      Examples
      --------
      Add two arrays to ``point_data`` using ``update``.
  
      >>> import numpy as np
      >>> from pyvista import examples
      >>> mesh = examples.load_uniform()
      >>> n = len(mesh.point_data)
      >>> arrays = {
      ...     'foo': np.arange(mesh.n_points),
      ...     'rand': np.random.default_rng().random(mesh.n_points),
      ... }
      >>> mesh.point_data.update(arrays)
      >>> mesh.point_data
      pyvista DataSetAttributes
      Association     : POINT
      Active Scalars  : Spatial Point Data
      Active Vectors  : None
      Active Texture  : None
      Active Normals  : None
      Contains arrays :
          Spatial Point Data      float64    (1000,)              SCALARS
          foo                     int64      (1000,)
          rand                    float64    (1000,)
  
      """
      for name, array in array_dict.items():
          self[name] = array.copy()
  
imports: from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Optional, Tuple, Union
  import warnings
  import numpy
  from .None import _vtk_core
  from ._typing_core import Array, Matrix
  from .errors import PyVistaDeprecationWarning
  from .pyvista_ndarray import pyvista_ndarray
  from .utilities.arrays import FieldAssociation, convert_array, copy_vtk_array
label_desc: Use image node_id 30 for calling the DataSetAttributes obj's underlying member method code with example usage: obj.update(array_dict) without return types