Np.random.randint

Np.random.float

numpy.random.uniform(low=0.0, high=1.0, size=None)

Source: docs.scipy.org

Numpy random int

np.random.randint(2, size=10) # Creates binary sample of size 10
np.random.randint(5, size=10) # Creates sample with 0-4 as values of size 10

np.random.randint(5, size=(2, 4))

Generate random integer matrix python

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'

Np.rand.randint

np.random.randint(0,10, size=(5, 5)) # random integers from 0 to 10 in size 5,5
#o/p 
array([[3, 9, 2, 3, 5],
       [2, 8, 7, 7, 1],
       [8, 2, 1, 1, 9],
       [9, 0, 5, 6, 4],
       [1, 6, 6, 4, 6]])

Np.random.randint to generate -1 +1

2 * np.random.randint(2, size=10) -1

Np.random.randint

# random.randint(low, high=None, size=None, dtype=int)
# [low,high) if high is given, else [0, low)

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