class_docstr: Wrapper for the ``vtkTable`` class.
  
  Create by passing a 2D NumPy array of shape (``n_rows`` by ``n_columns``)
  or from a dictionary containing NumPy arrays.
  
  Examples
  --------
  >>> import pyvista as pv
  >>> import numpy as np
  >>> arrays = np.random.default_rng().random((100, 3))
  >>> table = pv.Table(arrays)
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docstr: Create a Pandas DataFrame from this Table.
  
  Returns
  -------
  pandas.DataFrame
      This table represented as a pandas dataframe.
docstr_tok: ["Create","a","Pandas","DataFrame","from","this","Table",".","Returns","--","--","--","-","pandas.DataFrame","This","table","represented","as","a","pandas","dataframe","."]
code: def to_pandas(self):
      """Create a Pandas DataFrame from this Table.
  
      Returns
      -------
      pandas.DataFrame
          This table represented as a pandas dataframe.
  
      """
      try:
          import pandas as pd
      except ImportError:  # pragma: no cover
          raise ImportError("Install ``pandas`` to use this feature.")
      data_frame = pd.DataFrame()
      for name, array in self.items():
          data_frame[name] = array
      return data_frame
  
imports: from typing import Optional, Tuple
  import numpy
  import pyvista
  from .None import _vtk_core
  from .dataset import DataObject
  from .datasetattributes import DataSetAttributes
  from .utilities.arrays import FieldAssociation, get_array, row_array
label_desc: Use image node_id 28 for calling the Table obj's underlying member method code with example usage: obj.to_pandas() and returns: data_frame