code: def _make_2d_array(self, data):
          
  
          if data.shape != self.mesh_idx.shape:
              raise ValueError('data and mesh_idx must have the same shape')
  
          if np.ma.is_masked(data):
              raise ValueError('data must not be a masked array')
  
          data2d = np.zeros(self._mesh_shape).astype(data.dtype)
          data2d[self.mesh_yidx, self.mesh_xidx] = data
  
          if len(self.mesh_idx) == self.nboxes:
              # no meshes were masked
              return data2d
          else:
              # some meshes were masked
              mask2d = np.ones(data2d.shape).astype(np.bool)
              mask2d[self.mesh_yidx, self.mesh_xidx] = False
  
              return np.ma.masked_array(data2d, mask=mask2d)
docs: Convert a 1D array of mesh values to a masked 2D mesh array
          given the 1D mesh indices ``mesh_idx``.
  
          Parameters
          ----------
          data : 1D `~numpy.ndarray`
              A 1D array of mesh values.
  
          Returns
          -------
          result : 2D `~numpy.ma.MaskedArray`
              A 2D masked array.  Pixels not defined in ``mesh_idx`` are
              masked.