code: def _get_index_value(input_index_value, periods, freq):
      if (
          not input_index_value.has_value()
          and input_index_value.min_val is not None
          and input_index_value.max_val is not None
          and freq is not None
          and input_index_value.is_monotonic_increasing_or_decreasing
      ):
          pd_index = pd.Index(
              [input_index_value.min_val, input_index_value.max_val]
          ).shift(periods=periods, freq=freq)
          index_value = parse_index(pd_index)
          index_value.value._min_val_close = (
              input_index_value.min_val_close
          )
          index_value.value._max_val_close = (
              input_index_value.max_val_close
          )
          return index_value
      else:
          pd_index = input_index_value.to_pandas()
          return parse_index(pd_index, periods, freq)
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType
  from ...serialization.serializables import KeyField, AnyField, Int8Field, Int64Field
  from ...utils import has_unknown_shape, no_default, pd_release_version
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, build_df, build_series, validate_axis
label_desc: Use image node_id 11 for calling the DataFrameShift obj's underlying member method code with example usage: obj._get_index_value(input_index_value, periods, freq) and returns: index_value, parse_index