code: def _preprocess_for_cut(x):
      
      x_is_series = isinstance(x, Series)
      series_index = None
      name = None
  
      if x_is_series:
          series_index = x.index
          name = x.name
  
      # Check that the passed array is a Pandas or Numpy object
      # We don't want to strip away a Pandas data-type here (e.g. datetimetz)
      ndim = getattr(x, 'ndim', None)
      if ndim is None:
          x = np.asarray(x)
      if x.ndim != 1:
          raise ValueError("Input array must be 1 dimensional")
  
      return x_is_series, series_index, name, x
docs: handles preprocessing for cut where we convert passed
      input to array, strip the index information and store it
      separately