How to convert a scipy csr_matrix back into lists of row, col and data?

refer to code


..
Define matrix & check values

from scipy.sparse import csr_matrix

import numpy as np

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))

print(mtx2) #matrix print out

print(mtx2.toarray()) #print out by array

>

(0, 0) 1
  (0, 1) 1
  (1, 2) 1
  (2, 0) 1
  (2, 1) 1
  (2, 2) 1

>

[[1 1 0]
 [0 0 1]
 [1 1 1]]

..


...
get back the row, col and data value from matrix

c = mtx2.tocoo()

print(c.row)

print(c.col)

print(c.data)

>

[0 0 1 2 2 2]
[0 1 2 0 1 2]
[1 1 1 1 1 1]

...