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: Fills empty edge property values with the given value, zero by default.
  Fills in-place.
  
  Parameters
  ----------
  val : object, Series, or dict
      The object that will replace "na". Default = 0.  If a dict or
      Series is passed, the index or keys are the columns to fill
      and the values are the fill value for the corresponding column.
code: def fillna_edges(self, val=0):
      """
      Fills empty edge property values with the given value, zero by default.
      Fills in-place.
  
      Parameters
      ----------
      val : object, Series, or dict
          The object that will replace "na". Default = 0.  If a dict or
          Series is passed, the index or keys are the columns to fill
          and the values are the fill value for the corresponding column.
      """
  
      self.__edge_prop_dataframe.fillna(val, inplace=True)
  
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 24 for calling the EXPERIMENTAL__PropertyGraph obj's underlying member method code with example usage: obj.fillna_edges(val) without return types