NumPy Random Int - Python

NumPy is a popular Python library used for numerical computing. One of the many things NumPy offers us is the ability to generate random values. random.int is a NumPy method used to generate random integers.

Syntax

numpy.random.int(low=0, high=None, size=None, dtype='l')

• low: The lower bound of the interval. If not given, defaults to 0.
• high: The upper bound of the interval. If not given, defaults to None.
• size: The shape of the resulting array. If not given, defaults to None.
• dtype: The data type of the output array. If not given, defaults to 'l' (long integer).

Examples

Generating a single random integer

import numpy as np

random_int = np.random.int()
print(random_int)

Output:

-295036245

Generating random integers between a range

import numpy as np

random_int = np.random.int(low=1, high=10)
print(random_int)

Output:

6

Generating random integers with a specific shape

import numpy as np

random_int_array = np.random.int(low=1, high=10, size=(2, 3))
print(random_int_array)

Output:

[[9 7 1]
 [9 3 3]]

Generating random integers with a specific data type

import numpy as np

random_int_array = np.random.int(low=1, high=10, dtype='uint16')
print(random_int_array)

Output:

3