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: Returns a DataFrame containing the src vertex, dst vertex, and edge_id
  values from edge_prop_df.
docstr_tok: ["Returns","a","DataFrame","containing","the","src","vertex",",","dst","vertex",",","and","edge_id","values","from","edge_prop_df","."]
code: def __create_property_lookup_table(self, edge_prop_df):
      """
      Returns a DataFrame containing the src vertex, dst vertex, and edge_id
      values from edge_prop_df.
      """
      return edge_prop_df[
          [self.src_col_name, self.dst_col_name]
      ].reset_index()
  
imports: import cudf
  import cupy
  import cugraph
  import dask_cudf
  import cugraph.dask
  from cugraph.utilities.utils import import_optional, create_list_series_from_2d_ar
  from typing import Union
label_desc: Use image node_id 41 for calling the EXPERIMENTAL__MGPropertyGraph obj's underlying member method code with example usage: obj.__create_property_lookup_table(edge_prop_df) and returns: edge_prop_df