Numpy producing different random numbers despite seed [closed]

Question

I had a problem with NumPy producing different random numbers despite seeding.

code:

import numpy as np
import random

random.seed(1234)

vec = np.random.normal(0, 1, size=6)

print(vec)

As I had set the seed, I expected vec to contain the same random numbers in every run.

But what I got:

1. run: vec = [-0.80715758 0.8377004 -0.98711439 -0.23424405 -1.85368722 0.97827818]
2. run: vec = [-0.74409802 -0.85180205 0.84585489 -0.40506222 -1.31125093 -1.23055255]
3. run: vec = [ 2.21521007 1.38577035 0.25437804 0.84529466 -0.83334042 1.00452671]

I was just posting this question when I found the solution.
But to prevent others from doing the same mistake, I thought it might be a good idea to post it anyway.

Answer 1

My mistake was the following:
I set the seed of random, not of np.random!

When setting the seed of the NumPy random number generator, everything works as expected:

import numpy as np

np.random.seed(1234)

vec = np.random.normal(0, 1, size=6)

vec will always contain the same random numbers.