Answers for "use of sparse matrix in data structure"

1

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)
Posted by: Guest on January-01-2021
0

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 zero
Posted by: Guest on August-19-2021

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