block_diag(mats, format=None, dtype=None)
Input matrices.
The sparse format of the result (e.g., "csr"). If not given, the matrix is returned in "coo" format.
The data-type of the output matrix. If not given, the dtype is determined from that of :None:None:`blocks`.
Build a block diagonal sparse matrix from provided matrices.
>>> from scipy.sparse import coo_matrix, block_diagSee :
... A = coo_matrix([[1, 2], [3, 4]])
... B = coo_matrix([[5], [6]])
... C = coo_matrix([[7]])
... block_diag((A, B, C)).toarray() array([[1, 2, 0, 0], [3, 4, 0, 0], [0, 0, 5, 0], [0, 0, 6, 0], [0, 0, 0, 7]])
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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