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SciPy Reference Guide, Release 0.8.dev [3, 4, 6], [0, 0, 7]]) >>> bmat( [[A,None],[None,C]] ).todense() matrix([[1, 2, 0], [3, 4, 0], [0, 0, 7]]) hstack(blocks, format=None, dtype=None) Stack sparse matrices horizontally (column wise) See Also: Parameters blocks : sequence of sparse matrices with compatible shapes format : string sparse format of the result (e.g. “csr”) by default an appropriate sparse matrix format is returned. This choice is subject to change. vstack stack sparse matrices vertically (row wise) Examples >>> from scipy.sparse import coo_matrix, vstack >>> A = coo_matrix([[1,2],[3,4]]) >>> B = coo_matrix([[5],[6]]) >>> hstack( [A,B] ).todense() matrix([[1, 2, 5], [3, 4, 6]]) vstack(blocks, format=None, dtype=None) Stack sparse matrices vertically (row wise) See Also: Parameters blocks : sequence of sparse matrices with compatible shapes format : string sparse format of the result (e.g. “csr”) by default an appropriate sparse matrix format is returned. This choice is subject to change. hstack stack sparse matrices horizontally (column wise) Examples >>> from scipy.sparse import coo_matrix, vstack >>> A = coo_matrix([[1,2],[3,4]]) >>> B = coo_matrix([[5,6]]) >>> vstack( [A,B] ).todense() 390 Chapter 3. Reference
matrix([[1, 2], [3, 4], [5, 6]]) Identifying sparse matrices: issparse(x) isspmatrix(x) isspmatrix_csc(x) isspmatrix_csr(x) isspmatrix_bsr(x) isspmatrix_lil(x) isspmatrix_dok(x) isspmatrix_coo(x) isspmatrix_dia(x) issparse(x) isspmatrix(x) isspmatrix_csc(x) isspmatrix_csr(x) isspmatrix_bsr(x) isspmatrix_lil(x) isspmatrix_dok(x) isspmatrix_coo(x) isspmatrix_dia(x) 3.14.7 Exceptions exception SparseEfficiencyWarning exception SparseWarning 3.15 Sparse linear algebra (scipy.sparse.linalg) Warning: This documentation is work-in-progress and unorganized. SciPy Reference Guide, Release 0.8.dev 3.15. Sparse linear algebra (scipy.sparse.linalg) 391
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