scipy.sparse.
kron#
- scipy.sparse.kron(A, B, format=None)[source]#
kronecker product of sparse matrices A and B
- Parameters:
- Asparse or dense matrix
first matrix of the product
- Bsparse or dense matrix
second matrix of the product
- formatstr, optional (default: ‘bsr’ or ‘coo’)
format of the result (e.g. “csr”) If None, choose ‘bsr’ for relatively dense array and ‘coo’ for others
- Returns:
- kronecker product in a sparse format.
- Returns a sparse matrix unless either A or B is a
- sparse array in which case returns a sparse array.
Examples
>>> import numpy as np >>> import scipy as sp >>> A = sp.sparse.csr_array(np.array([[0, 2], [5, 0]])) >>> B = sp.sparse.csr_array(np.array([[1, 2], [3, 4]])) >>> sp.sparse.kron(A, B).toarray() array([[ 0, 0, 2, 4], [ 0, 0, 6, 8], [ 5, 10, 0, 0], [15, 20, 0, 0]])
>>> sp.sparse.kron(A, [[1, 2], [3, 4]]).toarray() array([[ 0, 0, 2, 4], [ 0, 0, 6, 8], [ 5, 10, 0, 0], [15, 20, 0, 0]])