def cell_sizes_vecs(self):
        """Return the cell sizes as coordinate vectors.

        Returns
        -------
        csizes : tuple of `numpy.ndarray`'s
            The cell sizes per axis. The length of the vectors is the
            same as the corresponding ``grid.coord_vectors``.
            For axes with 1 grid point, cell size is set to 0.0.

        Examples
        --------
        We create a partition of the rectangle [0, 1] x [-1, 2] into
        2 x 3 cells with the grid points [0, 1] x [-1, 0, 2]. This
        implies that the cell boundaries are given as
        [0, 0.5, 1] x [-1, -0.5, 1, 2], hence the cell size vectors
        are [0.5, 0.5] x [0.5, 1.5, 1]:

        >>> rect = odl.IntervalProd([0, -1], [1, 2])
        >>> grid = odl.RectGrid([0, 1], [-1, 0, 2])
        >>> part = odl.RectPartition(rect, grid)
        >>> part.cell_boundary_vecs
        (array([ 0. ,  0.5,  1. ]), array([-1. , -0.5,  1. ,  2. ]))
        >>> part.cell_sizes_vecs
        (array([ 0.5,  0.5]), array([ 0.5,  1.5,  1. ]))
        """
        csizes = []
        for ax, cvec in enumerate(self.grid.coord_vectors):
            if len(cvec) == 1:
                csizes.append(np.array([0.0]))
            else:
                csize = np.empty_like(cvec)
                csize[1:-1] = (cvec[2:] - cvec[:-2]) / 2.0
                csize[0] = (cvec[0] + cvec[1]) / 2 - self.min()[ax]
                csize[-1] = self.max()[ax] - (cvec[-2] + cvec[-1]) / 2
                csizes.append(csize)

        return tuple(csizes)
def cell_sizes_vecs ( self ) : csizes = [ ] for ax , cvec in enumerate ( self . grid . coord_vectors ) : if len ( cvec ) == 1 : csizes . append ( np . array ( [ 0.0 ] ) ) else : csize = np . empty_like ( cvec ) csize [ 1 : - 1 ] = ( cvec [ 2 : ] - cvec [ : - 2 ] ) / 2.0 csize [ 0 ] = ( cvec [ 0 ] + cvec [ 1 ] ) / 2 - self . min ( ) [ ax ] csize [ - 1 ] = self . max ( ) [ ax ] - ( cvec [ - 2 ] + cvec [ - 1 ] ) / 2 csizes . append ( csize ) return tuple ( csizes )
Return the cell sizes as coordinate vectors.

        Returns
        -------
        csizes : tuple of `numpy.ndarray`'s
            The cell sizes per axis. The length of the vectors is the
            same as the corresponding ``grid.coord_vectors``.
            For axes with 1 grid point, cell size is set to 0.0.

        Examples
        --------
        We create a partition of the rectangle [0, 1] x [-1, 2] into
        2 x 3 cells with the grid points [0, 1] x [-1, 0, 2]. This
        implies that the cell boundaries are given as
        [0, 0.5, 1] x [-1, -0.5, 1, 2], hence the cell size vectors
        are [0.5, 0.5] x [0.5, 1.5, 1]:

        >>> rect = odl.IntervalProd([0, -1], [1, 2])
        >>> grid = odl.RectGrid([0, 1], [-1, 0, 2])
        >>> part = odl.RectPartition(rect, grid)
        >>> part.cell_boundary_vecs
        (array([ 0. ,  0.5,  1. ]), array([-1. , -0.5,  1. ,  2. ]))
        >>> part.cell_sizes_vecs
        (array([ 0.5,  0.5]), array([ 0.5,  1.5,  1. ]))