code: def read_data(self, dstart=None, dend=None, swap_axes=True):
          
          data = super(FileReaderMRC, self).read_data(dstart, dend)
          data = data.reshape(self.data_shape, order='F')
          if swap_axes:
              data = np.transpose(data, axes=self.data_axis_order)
              assert data.shape == self.data_shape
          return data
docs: Read the data from `file` and return it as Numpy array.
  
          Parameters
          ----------
          dstart : int, optional
              Offset in bytes of the data field. By default, it is equal
              to ``header_size``. Backwards indexing with negative values
              is also supported.
              Use a value larger than the header size to extract a data subset.
          dend : int, optional
              End position in bytes until which data is read (exclusive).
              Backwards indexing with negative values is also supported.
              Use a value different from the file size to extract a data subset.
          swap_axes : bool, optional
              If ``True``, use `data_axis_order` to swap the axes in the
              returned array. In that case, the shape of the array may no
              longer agree with `data_storage_shape`.
  
          Returns
          -------
          data : `numpy.ndarray`
              The data read from `file`.