scipy.sparse.block_diag

scipy.sparse.block_diag(mats, format=None, dtype=None)

Build a block diagonal sparse matrix from provided matrices.

New in version 0.11.0.

Parameters:

A, B, ... : sequence of matrices

Input matrices.

format : str, optional

The sparse format of the result (e.g. “csr”). If not given, the matrix is returned in “coo” format.

dtype : dtype specifier, optional

The data-type of the output matrix. If not given, the dtype is determined from that of blocks.

Returns:

res : sparse matrix

See also

bmat, diags

Examples

>>> A = coo_matrix([[1, 2], [3, 4]])
>>> B = coo_matrix([[5], [6]])
>>> C = coo_matrix([[7]])
>>> block_diag((A, B, C)).todense()
matrix([[1, 2, 0, 0],
        [3, 4, 0, 0],
        [0, 0, 5, 0],
        [0, 0, 6, 0],
        [0, 0, 0, 7]])