numpy随机数模块random
import numpy as np # 1. 随机数种子 np.random.seed(1) # 2. 生成随机整数 A = [np.random.randint(1,10) for i in range(10)] # 3. 生成随机数组 B = np.random.randn(10,4) # 4. 按照均匀分布生成数据 C = [np.random.uniform(1,100) for i in range(10)] C = [int(np.random.uniform(1,100)) for i in range(10)] # 5. 洗牌, 机器学习中经常会对样本随机洗牌 np.random.shuffle(B) # 6. 随机采样(Python自带的random模块更好用) import random D = random.sample(A, 2)import numpy as np # 1.
