对于 matrix 对象的元素乘法，您可以使用 numpy.multiply:

For elementwise multiplication of matrix objects, you can use numpy.multiply:

import numpy as np
a = np.array([[1,2],[3,4]])
b = np.array([[5,6],[7,8]])
np.multiply(a,b)

结果

array([[ 5, 12],
       [21, 32]])

然而，你真的应该使用 array 而不是 matrix.matrix 对象与常规 ndarray 有各种可怕的不兼容.使用 ndarrays，您可以只使用 * 进行元素乘法:

However, you should really use array instead of matrix. matrix objects have all sorts of horrible incompatibilities with regular ndarrays. With ndarrays, you can just use * for elementwise multiplication:

a * b

如果您使用的是 Python 3.5+，您甚至不会失去使用运算符执行矩阵乘法的能力，因为 @ 现在做矩阵乘法:

If you're on Python 3.5+, you don't even lose the ability to perform matrix multiplication with an operator, because @ does matrix multiplication now:

a @ b  # matrix multiplication