scipy.sparse.bmat¶
- scipy.sparse.bmat(blocks, format=None, dtype=None)[source]¶
Build a sparse matrix from sparse sub-blocks
Parameters: blocks : array_like
Grid of sparse matrices with compatible shapes. An entry of None implies an all-zero matrix.
format : {‘bsr’, ‘coo’, ‘csc’, ‘csr’, ‘dia’, ‘dok’, ‘lil’}, optional
The sparse format of the result (e.g. “csr”). By default an appropriate sparse matrix format is returned. This choice is subject to change.
dtype : dtype, optional
The data-type of the output matrix. If not given, the dtype is determined from that of blocks.
Returns: bmat : sparse matrix
See also
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]]).toarray() array([[1, 2, 5], [3, 4, 6], [0, 0, 7]])
>>> bmat([[A, None], [None, C]]).toarray() array([[1, 2, 0], [3, 4, 0], [0, 0, 7]])