scipy稀疏数组coo_array的实现_python

import numpy as np
from scipy.sparse import coo_array
row  = np.array([0, 3, 1, 0])
col  = np.array([0, 3, 1, 2])
data = np.array([4, 5, 7, 9])
coo_array((data, (row, col)), shape=(4, 4)).toarray()
print(coo.toarray())

row  = np.array([0, 0, 1, 3, 1, 0, 0])
col  = np.array([0, 2, 1, 3, 1, 0, 0])
data = np.array([1, 1, 1, 1, 1, 1, 1])
coo = coo_array((data, (row, col)), shape=(4, 4))
print(coo.toarray())

>>> from scipy.sparse import coo_array
>>> import numpy as np
>>> data = np.random.rand(3)
>>> x = y = np.arange(3).astype(int)
>>> coo = coo_array((data,(x,y)))
>>> coo.toarray()
array([[0.28050236, 0.        , 0.        ],
       [0.        , 0.59568482, 0.        ],
       [0.        , 0.        , 0.84392724]])