code: def select(self, crit, axis=0):
          
          warnings.warn("'select' is deprecated and will be removed in a "
                        "future release. You can use "
                        ".loc[labels.map(crit)] as a replacement",
                        FutureWarning, stacklevel=2)
  
          axis = self._get_axis_number(axis)
          axis_name = self._get_axis_name(axis)
          axis_values = self._get_axis(axis)
  
          if len(axis_values) > 0:
              new_axis = axis_values[
                  np.asarray([bool(crit(label)) for label in axis_values])]
          else:
              new_axis = axis_values
  
          return self.reindex(**{axis_name: new_axis})
docs: Return data corresponding to axis labels matching criteria.
  
          .. deprecated:: 0.21.0
              Use df.loc[df.index.map(crit)] to select via labels
  
          Parameters
          ----------
          crit : function
              To be called on each index (label). Should return True or False
          axis : int
  
          Returns
          -------
          selection : same type as caller