How to generate random values from the Gaussian distribution?

by | Apr 11, 2023 | AI, Machine Learning and Deep Learning, Statistics For Machine Learning

Generate Random Values From Gaussian Distribution

We can use the following Python code to generate n random values from the Gaussian distribution.

from scipy.stats import norm

numbers = norm.rvs(size=10, loc=1, scale=2)
print(numbers)

Here, the argument size specifies that we are generating 10 numbers from the normal distribution. The loc argument specifies the mean, and the scale argument specifies the standard deviation of the normal distribution.

The output of the given program will be like the following:

[ 5.70932236  3.18932964  1.35492583 -0.13228987  1.52736277  2.48195123
  3.43682455 -2.72817594  4.51655757  1.488556  ]
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Amrita Mitra

Author

Ms. Amrita Mitra is an author, who has authored the books “Cryptography And Public Key Infrastructure“, “Web Application Vulnerabilities And Prevention“, “A Guide To Cyber Security” and “Phishing: Detection, Analysis And Prevention“. She is also the founder of Asigosec Technologies, the company that owns The Security Buddy.

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