code: def _drop_duplicates(
      cls, inp, op, subset=None, keep=None, ignore_index=None
  ):
      if ignore_index is None:
          ignore_index = op.ignore_index
      if subset is None:
          subset = op.subset
      if keep is None:
          keep = op.keep
      if inp.ndim == 2:
          try:
              return inp.drop_duplicates(
                  subset=subset, keep=keep, ignore_index=ignore_index
              )
          except TypeError:
              # no ignore_index for pandas < 1.0
              ret = inp.drop_duplicates(subset=subset, keep=keep)
              if ignore_index:
                  ret.reset_index(drop=True, inplace=True)
              return ret
      else:
          return inp.drop_duplicates(keep=keep)
  
imports: import inspect
  import numpy
  import pandas
  from pandas.api.types import is_list_like
  from ...config import options
  from ...core import OutputType, recursive_tile
  from ...core.operand import OperandStage, MapReduceOperand
  from ...serialization.serializables import AnyField, Int32Field, StringField, KeyField
  from ...utils import ceildiv, has_unknown_shape, lazy_import
  from ..initializer import DataFrame
  from ..operands import DataFrameOperandMixin, DataFrameShuffleProxy
label_desc: Use image node_id 19 for calling the DuplicateOperand obj's underlying member method code with example usage: obj._drop_duplicates(cls, inp, op, subset, keep, ignore_index) and returns: inp, inp, ret