code: def call(cls, op, inp):
      method_kwargs = op.method_kwargs
      if method_kwargs.get("expand", False) is False:
          return super().call(op, inp)
      n = method_kwargs.get("n", -1)
      # does not support if expand and n == -1
      if n == -1:  # pragma: no cover
          raise NotImplementedError(
              "`n` needs to be specified when expand=True"
          )
  
      op.output_types = [OutputType.dataframe]
      columns = pd.RangeIndex(n + 1)
      columns_value = parse_index(columns, store_data=True)
      dtypes = pd.Series([inp.dtype] * len(columns), index=columns)
      return op.new_dataframe(
          [inp],
          shape=(inp.shape[0], len(columns)),
          dtypes=dtypes,
          columns_value=columns_value,
          index_value=inp.index_value,
      )
  
imports: import inspect
  import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType, recursive_tile
  from ...serialization.serializables import KeyField, StringField, TupleField, DictField
  from ...tensor import tensor
  from ...tensor.core import TENSOR_TYPE
  from ...utils import has_unknown_shape
  from ..align import align_series_series
  from ..core import SERIES_TYPE
  from ..initializer import Series
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import build_empty_series, parse_index, infer_index_value
label_desc: Use image node_id 1 for calling the SeriesStringSplitHandler obj's underlying member method code with example usage: obj.call(cls, op, inp) and returns: op, super