from scipy.sparse import *
row = [0,0,0,1,1,1,2,2,2]#行指标
col = [0,1,2,0,1,2,0,1,2]#列指标
data = [1,0,1,0,1,1,1,1,0]#在行指标列指标下的数字
team = csr_matrix((data,(row,col)),shape=(3,3))
print(team)
print(team.todense()) # 返回稀疏矩阵的np.matrix形式
输出结果：
(0, 0) 1
(0, 1) 0
(0, 2) 1
(1, 0) 0
(1, 1) 1
(1, 2) 1
(2, 0) 1
(2, 1) 1
(2, 2) 0
[[1 0 1]
[0 1 1]
[1 1 0]]
Process finished with exit code 0
row = [0,0,0,0,1,1,1,1,2,2,2,2]#行指标
col = [0,1,2,3,0,1,2,3,0,1,2,3]#列指标
data = [1,0,1,1,0,1,1,1,1,0,1,1]#在行指标列指标下的数字
team = csr_matrix((data,(row,col)),shape=(3,4))
# print(team)
# print(team.todense())
team_dok = team.todok() # 返回稀疏矩阵的dok_matrix形式
# print(team_dok)
team_coo = team_dok.tocoo() # 返回稀疏矩阵的coo_matrix形式
