class_docstr: Class which stores vertex and edge properties that can be used to construct
  Graphs from individual property selections and used later to annotate graph
  algorithm results with corresponding properties.
class_docstr_tok: ["Class","which","stores","vertex","and","edge","properties","that","can","be","used","to","construct","Graphs","from","individual","property","selections","and","used","later","to","annotate","graph","algorithm","results","with","corresponding","properties","."]
docstr: All the edges in the graph as a DataFrame containing
  sources and destinations. It does not return the edge properties.
code: def edges(self):
      """
      All the edges in the graph as a DataFrame containing
      sources and destinations. It does not return the edge properties.
      """
      if self.__edge_prop_dataframe is not None:
          return self.__edge_prop_dataframe[
              [self.src_col_name, self.dst_col_name]
          ].reset_index()
      return None
  
imports: import cudf
  import numpy
  import cugraph
  from cugraph.utilities.utils import import_optional, MissingModule, create_list_series_from_2d_ar
  from typing import Union
label_desc: Use image node_id 3 for calling the EXPERIMENTAL__PropertyGraph obj's underlying member method code with example usage: obj.edges() and returns: None, self