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From the *sparse* module of *scipy*, you can use the * save_npz()* function to save a sparse matrix to a file using the ".npz" format. To load a saved sparse matrix using the ".npz" format, you can use the

Here is an example to show how to use these functions:

>>> import numpy as np

>>> from scipy.sparse import csr_matrix, save_npz, load_npz

>>> r = np.array([0, 0, 1, 2, 2, 3, 3, 3])

>>> c = np.array([0, 1, 2, 1, 2, 0, 2, 3])

>>> v = np.array([1, 2, 3, 4, 5, 6, 7, 8])

>>> x=csr_matrix((v, (r,c)), shape=(4,4))

>>> x

<4x4 sparse matrix of type '<class 'numpy.int64'>'

with 8 stored elements in Compressed Sparse Row format>

>>> x.toarray()

array([[1, 2, 0, 0],

[0, 0, 3, 0],

[0, 4, 5, 0],

[6, 0, 7, 8]])

>>> save_npz('file1.npz', x)

>>> x1=load_npz('file1.npz')>>> x1.toarray()

array([[1, 2, 0, 0],

[0, 0, 3, 0],

[0, 4, 5, 0],

[6, 0, 7, 8]])