numpy的随机模块¶

import numpy as np
#所有的值是0-1
np.random.rand(3,2)

array([[0.98738572, 0.97762081],
       [0.14287661, 0.94177989],
       [0.65183727, 0.39465705]])

返回随机的整数，左闭右开

np.random.randint(10,size=(5,4))#表示0-10

array([[2, 2, 3, 3],
       [0, 7, 7, 6],
       [4, 3, 9, 0],
       [5, 7, 9, 9],
       [2, 7, 2, 2]])

返回一个随机值

np.random.random_sample()

0.208407967642247

np.random.rand()

0.4219206462915033

np.random.randint(0,10,3)#0-10返回3个数,但是不包含10

array([4, 3, 4])

mu,sigma=0,0.1#高斯分布
np.random.normal(mu,sigma,10)

array([-0.03984869, -0.0676208 , -0.09475804,  0.08578924, -0.00176816,
       -0.0236082 ,  0.01256053,  0.00926735,  0.02499125,  0.05864631])

设置随机精度

np.set_printoptions(precision=2)

mu,sigma=0,0.1#高斯分布
np.random.normal(mu,sigma,10)

array([-0.13,  0.1 ,  0.08,  0.08,  0.07, -0.02,  0.06,  0.04, -0.02,
       -0.06])

tang_arrary=np.arange(10)
tang_arrary

array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])

np.random.shuffle(tang_arrary)#洗牌

tang_arrary

array([0, 5, 6, 7, 9, 4, 8, 1, 2, 3])

np.random.seed(100)

mu,sigma=0,0.1
np.random.normal(mu,sigma,10)

array([-0.17,  0.03,  0.12, -0.03,  0.1 ,  0.05,  0.02, -0.11, -0.02,
        0.03])

2-11随机模块