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)sparse matrix meaning
0 0 3 0 4
0 0 5 7 0
0 0 0 0 0
0 2 6 0 0
most of the values are zeroCopyright © 2021 Codeinu
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