bmat(blocks, format=None, dtype=None)
Grid of sparse matrices with compatible shapes. An entry of None implies an all-zero matrix.
The sparse format of the result (e.g. "csr"). By default an appropriate sparse matrix format is returned. This choice is subject to change.
The data-type of the output matrix. If not given, the dtype is determined from that of :None:None:`blocks`.
Build a sparse matrix from sparse sub-blocks
>>> 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]])See :
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.sparse._construct.bmat
scipy.sparse._construct.block_diag
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