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 vertex type names given the numeric category labels.
  
  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.
code: def vertex_types_from_numerals(
      self, nums: Union[cudf.Series, pd.Series]
  ) -> Union[cudf.Series, pd.Series]:
      """
      Returns the string vertex type names given the numeric category labels.
  
      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.__vertex_prop_dataframe[
          self.type_col_name
      ].dtype.categories[nums]
  
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 16 for calling the EXPERIMENTAL__PropertyGraph obj's underlying member method code with example usage: obj.vertex_types_from_numerals(nums) and returns: self