scipy tutorial - Baustatik-Info-Server

Examples
Parameters
n : integer
dtype : :
Shape of the identity matrix.
Data type of the matrix
format : string
Sparse format of the result, e.g. format=”csr”, etc.
>>> identity(3).todense()
matrix([[ 1., 0., 0.],
[ 0., 1., 0.],
[ 0., 0., 1.]])
>>> identity(3, dtype=’int8’, format=’dia’)
kron(A, B, format=None)
kronecker product of sparse matrices A and B
Examples
Parameters
A : sparse or dense matrix
first matrix of the product
B : sparse or dense matrix
second matrix of the product
format : string
format of the result (e.g. “csr”)
Returns
kronecker product in a sparse matrix format :
>>> A = csr_matrix(array([[0,2],[5,0]]))
>>> B = csr_matrix(array([[1,2],[3,4]]))
>>> kron(A,B).todense()
matrix([[ 0, 0, 2, 4],
[ 0, 0, 6, 8],
[ 5, 10, 0, 0],
[15, 20, 0, 0]])
>>> kron(A,[[1,2],[3,4]]).todense()
matrix([[ 0, 0, 2, 4],
[ 0, 0, 6, 8],
[ 5, 10, 0, 0],
[15, 20, 0, 0]])
kronsum(A, B, format=None)
kronecker sum of sparse matrices A and B
SciPy Reference Guide, Release 0.8.dev
3.14. Sparse matrices (scipy.sparse) 385