numpy randint

>>> np.random.randint(2, size=10)
array([1, 0, 0, 0, 1, 1, 0, 0, 1, 0]) # random
>>> np.random.randint(1, size=10)
array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0])

import numpy as np

randi_arr = np.random.randint(start, end, dimensions)
#random integers will be sampled from [start, end) (end not inclusive)
#end is optional; if end is not specified, random integers will be sampled from [0, start) (start not inclusive)
#dimensions can be specified as shown here; (m,n) #2D array with size 'm x n'

# Python program explaining 
# numpy.random.randint() function 
  
# importing numpy 
import numpy as geek 
  
# output array 
out_arr = geek.random.randint(low = 0, high = 3, size = 5) 
print ("Output 1D Array filled with random integers : ", out_arr)