Scipy稀疏矩阵乘法

Question

我有使用numpy数组的矩阵乘法矩阵示例:

import numpy as np
m = np.array([[1,2,3],[4,5,6],[7,8,9]])
c = np.array([0,1,2])
m * c
array([[ 0,  2,  6],
       [ 0,  5, 12],
       [ 0,  8, 18]])

如果m是scipy稀疏CSR矩阵,我怎么能做同样的事情？这会导致尺寸不匹配:

sp.sparse.csr_matrix(m)*sp.sparse.csr_matrix(c)

Answer 1

您可以调用multiply方法csr_matrix来执行逐点乘法.

sparse.csr_matrix(m).multiply(sparse.csr_matrix(c)).todense()

# matrix([[ 0,  2,  6],
#         [ 0,  5, 12],
#         [ 0,  8, 18]], dtype=int64)