code: def set_axis(self, labels, axis=0, inplace=None):
          
          if is_scalar(labels):
              warnings.warn(
                  'set_axis now takes "labels" as first argument, and '
                  '"axis" as named parameter. The old form, with "axis" as '
                  'first parameter and "labels" as second, is still supported '
                  "but will be deprecated in a future version of pandas.",
                  FutureWarning,
                  stacklevel=2,
              )
              labels, axis = axis, labels
          if inplace is None:
              warnings.warn(
                  "set_axis currently defaults to operating inplace.\nThis "
                  "will change in a future version of pandas, use "
                  "inplace=True to avoid this warning.",
                  FutureWarning,
                  stacklevel=2,
              )
              inplace = True
          if inplace:
              setattr(self, pandas.DataFrame()._get_axis_name(axis), labels)
          else:
              obj = self.copy()
              obj.set_axis(labels, axis=axis, inplace=True)
              return obj
docs: Assign desired index to given axis.
  
          Args:
              labels (pandas.Index or list-like): The Index to assign.
              axis (string or int): The axis to reassign.
              inplace (bool): Whether to make these modifications inplace.
  
          Returns:
              If inplace is False, returns a new DataFrame, otherwise None.