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: List containing each edge property name in the PropertyGraph instance.
code: def edge_property_names(self):
      """
      List containing each edge property name in the PropertyGraph instance.
      """
      if self.__edge_prop_dataframe is not None:
          props = list(self.__edge_prop_dataframe.columns)
          props.remove(self.src_col_name)
          props.remove(self.dst_col_name)
          props.remove(self.type_col_name)  # should "type" be removed?
          if self.weight_col_name in props:
              props.remove(self.weight_col_name)
          return props
      return []
  
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 5 for calling the EXPERIMENTAL__PropertyGraph obj's underlying member method code with example usage: obj.edge_property_names() and returns: list, props