code: def _degree(self, vertex_subset, direction=Direction.ALL):
      vertex_col, degree_col = graph_primtypes_wrapper._degree(
          self, direction
      )
      df = cudf.DataFrame()
      df["vertex"] = vertex_col
      df["degree"] = degree_col
  
      if self.properties.renumbered:
          # Get the internal vertex IDs
          nodes = self.renumber_map.df_internal_to_external["id"]
      else:
          nodes = self.nodes()
      # If the vertex IDs are not contiguous, remove results for the
      # isolated vertices
      df = df[df["vertex"].isin(nodes.to_cupy())]
  
      if vertex_subset is not None:
          if not isinstance(vertex_subset, cudf.Series):
              vertex_subset = cudf.Series(vertex_subset)
              if self.properties.renumbered:
                  vertex_subset = (
                      self.renumber_map.to_internal_vertex_id(
                          vertex_subset
                      )
                  )
              vertex_subset = vertex_subset.to_cupy()
          df = df[df["vertex"].isin(vertex_subset)]
  
      if self.properties.renumbered:
          df = self.renumber_map.unrenumber(df, "vertex")
  
      return df
  
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 26 for calling the simpleGraphImpl obj's underlying member method code with example usage: obj._degree(vertex_subset, direction) and returns: df