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from scipy.sparse import csr_matrix
import numpy as np
#first matrix
row = np.array([0, 0, 1, 2, 2, 2])
col = np.array([0, 2, 2, 0, 1, 2])
data = np.array([1, 1, 1, 1, 1, 1])
mtx = csr_matrix((data, (row, col)), shape=(3, 3))
#second matrix
row = np.array([0, 0, 1, 2, 2, 2])
col = np.array([0, 1, 2, 0, 1, 2])
data = np.array([1, 1, 1, 1, 1, 1])
mtx2 = csr_matrix((data, (row, col)), shape=(3, 3))
#merge two matrix
mtx3 = merge_two_csr_mtx(mtx, mtx2)
#check
print('1st\n',mtx)
print('2nd\n',mtx2)
print('merge\n',mtx3)
result
1st (0, 0) 1 (0, 2) 1 (1, 2) 1 (2, 0) 1 (2, 1) 1 (2, 2) 1 2nd (0, 0) 1 (0, 1) 1 (1, 2) 1 (2, 0) 1 (2, 1) 1 (2, 2) 1 merge (0, 0) 2.0 (0, 1) 1.0 (0, 2) 1.0 (1, 2) 2.0 (2, 0) 2.0 (2, 1) 2.0 (2, 2) 2.0
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