如何在Python的SciPy中删除稀疏矩阵中的小元素？

from scipy.sparse import csr_matrix
from scipy.sparse import find

# 假设稀疏矩阵为sp_matrix
sp_matrix = csr_matrix([[0, 0, 0], [0, 1, 0], [0, 0, 0]])

# 假设阈值为threshold
threshold = 0.5
row, col, values = find(sp_matrix)
indices = (values > threshold).nonzero()[0]

sp_matrix[row[indices], col[indices]] = 0

from scipy.sparse import csr_matrix
from scipy.sparse import find

# 创建稀疏矩阵
sp_matrix = csr_matrix([[0, 0, 0], [0, 1, 0], [0, 0, 0]])

# 找到小于指定阈值的元素的索引
threshold = 0.5
row, col, values = find(sp_matrix)
indices = (values > threshold).nonzero()[0]

# 根据索引删除小元素
sp_matrix[row[indices], col[indices]] = 0