code: def tshift(df_or_series, periods: int = 1, freq=None, axis=0):
      """
      Shift the time index, using the index's frequency if available.
  
      Parameters
      ----------
      periods : int
          Number of periods to move, can be positive or negative.
      freq : DateOffset, timedelta, or str, default None
          Increment to use from the tseries module
          or time rule expressed as a string (e.g. 'EOM').
      axis : {0 or ‘index’, 1 or ‘columns’, None}, default 0
          Corresponds to the axis that contains the Index.
  
      Returns
      -------
      shifted : Series/DataFrame
  
      Notes
      -----
      If freq is not specified then tries to use the freq or inferred_freq
      attributes of the index. If neither of those attributes exist, a
      ValueError is thrown
      """
      axis = validate_axis(axis, df_or_series)
      index = (
          df_or_series.index_value.to_pandas()
          if axis == 0
          else df_or_series.columns_value.to_pandas()
      )
  
      if freq is None:
          freq = getattr(index, "freq", None)
  
      if freq is None:  # pragma: no cover
          freq = getattr(index, "inferred_freq", None)
  
      if freq is None:
          raise ValueError(
              "Freq was not given and was not set in the index"
          )
  
      return shift(df_or_series, periods=periods, freq=freq, axis=axis)
  
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 2 for calling a global function with example usage: tshift(df_or_series, periods, freq, axis) and returns: shift