Problem with making random seed work in python

Question

I am generating random entries at selected positions in a matrix and I would like to see the same entries over different runs of the code. So I did the following but I'm not sure what I did wrong to get different entries on each run?

import numpy as np
import random
random.seed(10)

N = 5
G = [[0 for i in np.arange(N)] for j in np.arange(N)]
for i in np.arange(N):
    for j in np.arange(N):
        if i==j:
            G[i][j] = 0
        else:
            if abs(i-j) <= 2:
                random.seed(10)
                G[i][j] = round(np.random.uniform(0,1),2)
            else:
                G[i][j] = 0

print(G)

You set the seed for Python's random package, but you called NumPy's RNG instead. You didn't touch that seed. — Prune
– Prune, Commented Feb 13, 2020 at 22:15

Sheldore · Accepted Answer · 2020-02-13 22:13:56Z

2

You can replace

random.seed(10)

by

np.random.seed(10)

to have a fixed random state. Since you use NumPy's random module to generate the random number, you ought to use np.random.seed() to fix the random state. That is how I understood it.

edited Feb 13, 2020 at 22:13

answered Feb 13, 2020 at 22:11

Sheldore

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