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: 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):
      """
      a DataFrame containing the src vertex, dst vertex, and edge_id
      values from edge_prop_df.
      """
      src = edge_prop_df[self.src_col_name]
      dst = edge_prop_df[self.dst_col_name]
      return self.__dataframe_type(
          {self.src_col_name: src, self.dst_col_name: dst}
      ).reset_index()
  
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 41 for calling the EXPERIMENTAL__PropertyGraph obj's underlying member method code with example usage: obj.__create_property_lookup_table(edge_prop_df) and returns: self