code: def data_cutout_ma(self):
          
  
          return np.ma.masked_array(self._data[self._slice],
                                    mask=self._total_mask)
docs: A 2D `~numpy.ma.MaskedArray` cutout from the data.
  
          The mask is `True` for pixels outside of the source segment
          (labeled region of interest), masked pixels from the ``mask``
          input, or any non-finite ``data`` values (e.g. NaN or inf).