code: def expand_index(
      index: Union[pd.Index, None], steps: int
  ) -> pd.Index:
      """
      Create a new index of length `steps` starting at the end of the index.
  
      Parameters
      ----------
      index : pandas Index, None
          Original index.
      steps : int
          Number of steps to expand.
  
      Returns
      -------
      new_index : pandas Index
          New index.
  
      """
  
      if isinstance(index, pd.Index):
          if isinstance(index, pd.DatetimeIndex):
              new_index = pd.date_range(
                  start=index[-1] + index.freq,
                  periods=steps,
                  freq=index.freq,
              )
          elif isinstance(index, pd.RangeIndex):
              new_index = pd.RangeIndex(
                  start=index[-1] + 1, stop=index[-1] + 1 + steps
              )
      else:
          new_index = pd.RangeIndex(start=0, stop=steps)
  
      return new_index
  
imports: from typing import Union, Any, Optional, Tuple, Callable
  import warnings
  import importlib
  import joblib
  import numpy
  import pandas
  import sklearn
  import sklearn.pipeline
  import sklearn.linear_model
  from sklearn.compose import ColumnTransformer
  from sklearn.exceptions import NotFittedError
  import inspect
  from copy import deepcopy
  import skforecast
  from ..exceptions import MissingValuesExogWarning
  from ..exceptions import DataTypeWarning
  from ..exceptions import IgnoredArgumentWarning
  from ..exceptions import SkforecastVersionWarning
label_desc: Use image node_id 17 for calling a global function with example usage: expand_index(index, steps) and returns: new_index