Python生成正态分布随机数

import numpy as np

mu = 0  # 均值
sigma = 1  # 标准差

random_number = np.random.normal(mu, sigma)
print(random_number)

0.820047416508

import numpy as np

mu = 0  # 均值
sigma = 1  # 标准差
size = 5  # 数组长度

random_array = np.random.normal(mu, sigma, size)
print(random_array)

[-0.46426528  0.93916435 -1.23965385  0.39868116 -0.59875099]

import numpy as np

mu = 0  # 均值
sigma = 1  # 标准差
size = (3, 3)  # 矩阵维度

random_matrix = np.random.normal(mu, sigma, size)
print(random_matrix)

[[-0.94142414  1.19164046 -1.40366462]
 [-0.61866611  0.62538484 -0.47381547]
 [ 1.06031108  0.03237812 -0.79071266]]

import numpy as np

mu = 0  # 均值
sigma = 1  # 标准差
size = (3, 5)  # 组数和每组的元素个数

random_numbers = np.random.normal(mu, sigma, size)
print(random_numbers)

[[-0.90671091 -0.46696775 -0.66340752 -0.24537518  1.01207652]
 [ 0.73908629  1.58376268  1.04272849 -0.57619492 -0.05585936]
 [ 0.08093381 -1.94232154  0.2587839   1.37196578  1.38686614]]

import numpy as np

mu = 0  # 均值
sigma = 1  # 标准差
size = (2, 2, 2)  # 数组维度

random_numbers = np.random.normal(mu, sigma, size)
print(random_numbers)

[[[-1.46467121 -0.37756466]
  [ 0.78518408 -1.08426921]]

 [[ 2.3222561  -0.52712968]
  [ 0.61952954 -1.42928139]]]