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 the string edge type names given the numeric category labels.
  Note: Does not accept or return dask_cudf Series.
  
  Parameters
  ----------
  nums: Union[cudf.Series, pandas.Series] (Required)
      The list of numeric category labels to convert.
  
  Returns
  -------
  Union[cudf.Series, pd.Series]
      The string type names converted from the input numerals.
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code: def edge_types_from_numerals(
      self, nums: Union[cudf.Series, pd.Series]
  ) -> Union[cudf.Series, pd.Series]:
      """
      Returns the string edge type names given the numeric category labels.
      Note: Does not accept or return dask_cudf Series.
  
      Parameters
      ----------
      nums: Union[cudf.Series, pandas.Series] (Required)
          The list of numeric category labels to convert.
  
      Returns
      -------
      Union[cudf.Series, pd.Series]
          The string type names converted from the input numerals.
      """
      return (
          self.__edge_prop_dataframe[self.type_col_name]
          .dtype.categories.to_series()
          .iloc[nums]
          .reset_index(drop=True)
      )
  
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 17 for calling the EXPERIMENTAL__MGPropertyGraph obj's underlying member method code with example usage: obj.edge_types_from_numerals(nums) and returns: self