如何用Python生成2D高斯? [英] How to generate 2D gaussian with Python?

问题描述

我可以使用random.gauss(mu, sigma)函数生成高斯数据，但是如何生成2D高斯呢?有这样的功能吗?

I can generate Gaussian data with random.gauss(mu, sigma) function, but how can I generate 2D gaussian? Is there any function like that?

推荐答案

由于标准2D高斯分布只是两个1D高斯分布的乘积，因此如果两个轴之间没有相关性(即协变矩阵是对角线)，只需调用random.gauss两次即可.

Since the standard 2D Gaussian distribution is just the product of two 1D Gaussian distribution, if there are no correlation between the two axes (i.e. the covariant matrix is diagonal), just call random.gauss twice.

def gauss_2d(mu, sigma):
    x = random.gauss(mu, sigma)
    y = random.gauss(mu, sigma)
    return (x, y)

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