scipy.sparse.bmat

scipy.sparse.bmat(blocks, format=None, dtype=None)

Build a sparse matrix from sparse sub-blocks

Parameters :

blocks :

grid of sparse matrices with compatible shapes an entry of None implies an all-zero matrix

format : sparse format of the result (e.g. “csr”)

by default an appropriate sparse matrix format is returned. This choice is subject to change.

Examples

>>> from scipy.sparse import coo_matrix, bmat
>>> A = coo_matrix([[1,2],[3,4]])
>>> B = coo_matrix([[5],[6]])
>>> C = coo_matrix([[7]])
>>> bmat( [[A,B],[None,C]] ).todense()
matrix([[1, 2, 5],
        [3, 4, 6],
        [0, 0, 7]])

>>> bmat( [[A,None],[None,C]] ).todense()
matrix([[1, 2, 0],
        [3, 4, 0],
        [0, 0, 7]])