如何使用numpy将N个向量乘以N个矩阵？

import numpy as np

vectors = [np.array([1, 2, 3]), np.array([4, 5, 6]), ..., np.array([N-1, N, N+1])]

matrices = [np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]), np.array([[2, 4, 6], [8, 10, 12], [14, 16, 18]]), ..., np.array([[N, N+1, N+2], [N+3, N+4, N+5], [N+6, N+7, N+8]])]

results = []
for vector, matrix in zip(vectors, matrices):
    result = np.dot(vector, matrix)
    results.append(result)

for result in results:
    print(result)