The results:
[[ 6 7 8 9 10 11]
[12 13 14 15 16 17]
[30 31 32 33 34 35]
[18 19 20 21 22 23]
[24 25 26 27 28 29]
[ 0 1 2 3 4 5]]
The codes:
import numpy as np
arr = np.arange(36).reshape((6, 6))
np.random.shuffle(arr)
print(arr)
reference:
numpy.random.shuffle — NumPy v1.21 Manual
Generate a uniform random number range from [0,1]
array([0, 0, 1, 0, 1, 0, 1, 0, 1, 1])
The codes:
np.random.randint(0,1+1,10)
reference:
numpy.random.random_integers — NumPy v1.21 Manual
The results:
[31, 34, 35, 30, 32, 33]
The codes:
a = [30, 31, 32, 33, 34, 35]
np.random.shuffle(a)
print(a)
reference: