import numpy as np
from scipy.sparse import csr_matrix
#1-创建网络
row = np.array([0, 0, 1, 2, 2, 2, 3])
col = np.array([0, 2, 2, 0, 1, 2, 2])
data = np.array([1, 1, 2.4, 1, 1, 1.6,1 ])
A=csr_matrix((data, (row, col)), shape=(4, 3))
print("A=")
print(A)
B = A.astype(int)
print("B=")
print(B)
print("=================")
M=(A!=0)
print(type(M))
print("M=")
print(M)
H=M.astype(int)
print(type(H))
print("H=")
print(H)
D:ProgramDataAnaconda3python.exe D:/NetworkEfficiency/linkpred/basic_study/7-astype.pyA=
(0, 0) 1.0
(0, 2) 1.0
(1, 2) 2.4
(2, 0) 1.0
(2, 1) 1.0
(2, 2) 1.6
(3, 2) 1.0
B=
(0, 0) 1
(0, 2) 1
(1, 2) 2
(2, 0) 1
(2, 1) 1
(2, 2) 1
(3, 2) 1
M=
(0, 0) True
(0, 2) True
(1, 2) True
(2, 0) True
(2, 1) True
(2, 2) True
(3, 2) True
H=
(0, 0) 1
(0, 2) 1
(1, 2) 1
(2, 0) 1
(2, 1) 1
(2, 2) 1
(3, 2) 1
Process finished with exit code 0
