如何在Python中使用numpy或其他软件包随机生成2个散点集群？

import numpy as np
import matplotlib.pyplot as plt

np.random.seed(0)

n_samples = 100  # 样本数量
cluster1_center = (-2, -2)  # 第一个集群的中心坐标
cluster1_std = 1  # 第一个集群的标准差

cluster1_x = np.random.normal(cluster1_center[0], cluster1_std, n_samples)
cluster1_y = np.random.normal(cluster1_center[1], cluster1_std, n_samples)

cluster2_center = (2, 2)  # 第二个集群的中心坐标
cluster2_std = 1  # 第二个集群的标准差

cluster2_x = np.random.normal(cluster2_center[0], cluster2_std, n_samples)
cluster2_y = np.random.normal(cluster2_center[1], cluster2_std, n_samples)

plt.scatter(cluster1_x, cluster1_y, c='red', label='Cluster 1')
plt.scatter(cluster2_x, cluster2_y, c='blue', label='Cluster 2')
plt.xlabel('X')
plt.ylabel('Y')
plt.title('Randomly Generated Clusters')
plt.legend()
plt.show()