sparse matrix representation python use
import numpy as np
from scipy.sparse import csr_matrix
# create a 2-D representation of the matrix
A = np.array([[1, 0, 0, 0, 0, 0], [0, 0, 2, 0, 0, 1],
[0, 0, 0, 2, 0, 0]])
print("Dense matrix representation: n", A)
# convert to sparse matrix representation
S = csr_matrix(A)
print("Sparse matrix: n",S)
# convert back to 2-D representation of the matrix
B = S.todense()
print("Dense matrix: n", B)csr_matric scipy lib
>>> import numpy as np
>>> from scipy.sparse import csr_matrix
>>> csr_matrix((3, 4), dtype=np.int8).toarray()
array([[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]], dtype=int8)sparse matrix matlab
S =
(6,1) 475
(5,2) 305
(10,3) 960
(9,10) 444Copyright © 2021 Codeinu
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