code: def validate_minmax_axis(axis):
      """
      Ensure that the axis argument passed to min, max, argmin, or argmax is
      zero or None, as otherwise it will be incorrectly ignored.
  
      Parameters
      ----------
      axis : int or None
  
      Raises
      ------
      ValueError
      """
      ndim = 1  # hard-coded for Index
      if axis is None:
          return
      if axis >= ndim or (axis < 0 and ndim + axis < 0):
          raise ValueError(
              "`axis` must be fewer than the number of "
              "dimensions ({ndim})".format(ndim=ndim)
          )
  
imports: from numpy import ndarray
  from pandas.compat import OrderedDict
  from pandas.errors import UnsupportedFunctionCall
  from pandas.util._validators import validate_args, validate_args_and_kwargs, validate_kwargs
  from pandas.core.dtypes.common import is_bool, is_integer
label_desc: Use image node_id 14 for calling a global function with example usage: validate_minmax_axis(axis) without return types