首页x = μ + σ * np.random.randn(10000)

x = μ + σ * np.random.randn(10000)

时间: 2024-02-04 08:48:34 浏览: 146

python numpy之np.random的随机数函数使用介绍

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np.random的随机数函数（1）函数说明 rand(d0,d1,..,dn) 根据d0‐dn创建随机数数组，浮点数， [0,1)，均匀分布 randn(d0,d1,..,dn) 根据d0‐dn创建随机数数组，标准正态分布 randint(low[,high,shape]) 根据shape创建随机整数或整数数组，范围是[low, high) seed(s) 随机数种子， s是给定的种子值 np.random.rand import numpy as np a = np.random.rand(3, 4, 5) a Out[3]: array([[[0.2

As an AI language model, I cannot determine the exact context of your code snippet. However, it looks like you are using NumPy to generate a random array of 10000 samples from a normal distribution with mean μ and standard deviation σ. The `np.random.randn()` function generates random numbers from a standard normal distribution (mean=0, standard deviation=1). By multiplying it with σ and then adding μ, you can generate random numbers from a normal distribution with mean μ and standard deviation σ. Overall, this code snippet can be used to generate random data for statistical analysis or simulations.

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