docstr: Returns the graph adjacency matrix as a Pandas DataFrame.
docstr_tok: ["Returns","the","graph","adjacency","matrix","as","a","Pandas","DataFrame","."]
code: def to_pandas_adjacency(self):
      """
      Returns the graph adjacency matrix as a Pandas DataFrame.
      """
  
      np_array_data = self.to_numpy_array()
      pdf = pd.DataFrame(np_array_data)
  
      nodes = self.nodes().values_host.tolist()
      pdf.columns = nodes
      pdf.index = nodes
      return pdf
  
imports: from cugraph.structure import graph_primtypes_wrapper
  from cugraph.structure.graph_primtypes_wrapper import Direction
  from cugraph.structure.symmetrize import symmetrize
  from cugraph.structure.number_map import NumberMap
  import cugraph.dask.common.mg_utils
  import cudf
  import dask_cudf
  import cugraph.dask.comms.comms
  import pandas
  import numpy
  import warnings
  from cugraph.dask.structure import replication
  from typing import Union, Dict
  from pylibcugraph import get_two_hop_neighbors, select_random_vertices
  from pylibcugraph import ResourceHandle, GraphProperties, SGGraph
label_desc: Use image node_id 4 for calling the simpleGraphImpl obj's underlying member method code with example usage: obj.to_pandas_adjacency() and returns: pdf