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: Return True if df has rows with the same src, dst, type, and columns
docstr_tok: ["Return","True","if","df","has","rows","with","the","same","src",",","dst",",","type",",","and","columns"]
code: def has_duplicate_edges(cls, df, columns=None):
      """
      Return True if df has rows with the same src, dst, type, and columns
      """
      cols = [cls.src_col_name, cls.dst_col_name, cls.type_col_name]
      if columns:
          cols.extend(columns)
      return cls._has_duplicates(df, cols)
  
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 39 for calling the EXPERIMENTAL__MGPropertyGraph obj's underlying member method code with example usage: obj.has_duplicate_edges(cls, df, columns) and returns: cls