sp.sparse.diags()方法

import scipy as sp
d=np.array([5,1,11])
print(d)
B1=sp.sparse.diags(1 / d)
print(“B1=”)
print(B1)
print(type(B1))
arrB1=B1.toarray()
print(“arrB1=”)
print(arrB1)
print(type(arrB1))

运行结果：
[ 5 1 11]
B1=
(0, 0) 0.2
(1, 1) 1.0
(2, 2) 0.09090909090909091

arrB1=
[[0.2 0. 0. ]
[0. 1. 0. ]
[0. 0. 0.09090909]]