How to generate N-dimensional array of random values?

Question

Currently, I am writing this:

    x, y = np.array([random.randint(0, 9), random.randint(0, 9), random.randint(0, 9)]), \
           np.array([random.randint(0, 9), random.randint(0, 9), random.randint(0, 9)])

Is there a built-in NumPy function to allow me to do this a bit better?

I said N-dimensional array not because I want to generate a random-sized vector with random values, but rather so others can apply it for their own vectors.

Answer 1

You can use:

import numpy as np
np.random.randint(0, 9, shape)

For example, with shape=(2, 3) :

array([[3, 2, 0], [1, 0, 1]])