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title Python Random Module - Python Cheatsheet
description The random module is a built-in module that allow us to generate random elements.
Python Random Module

The random module is a built-in module that allow us to generate random elements.

import random

seed()

The seed method is used to initialize the random number generator.

>>> random.seed(1)
>>> random.random()
# 0.13436424411240122

Setting the seed to a number will always return the same random number:

>>> random.seed(1)
>>> random.random()
# 0.13436424411240122

>>> random.seed(1)
>>> random.random()
# 0.13436424411240122

>>> random.seed(1)
>>> random.random()
# 0.13436424411240122

>>> random.seed(1)
>>> random.random()
# 0.13436424411240122

>>> random.seed(1)
>>> random.random()
# 0.13436424411240122

The default value of the seed method is the current system time, that is why we always get a different number:

>>> random.random()
# 0.8474337369372327
>>> random.random()
# 0.763774618976614
>>> random.random()
# 0.2550690257394217

randint()

random.randint(start: int, stop: int)

This method returns a random number between a given start and stop parameters:

>>> random.randint(1, 5)
# 3
>>> random.randint(1, 5)
# 2
>>> random.randint(1, 5)
# 5
>>> random.randint(1, 5)
# 1
>>> random.randint(1, 5)
# 3
>>> random.randint(1, 5)
# 1

choice()

The choice method return a randomly selected element from an iterable, like a list, set or str:

>>> random.choice([1, 2, 3, 4])
# 1
>>> random.choice([1, 2, 3, 4])
# 2
>>> random.choice([1, 2, 3, 4])
# 4
>>> random.choice([1, 2, 3, 4])
# 4

shuffle()

The shuffle method takes in an iterable and shuffle it:

>>> my_list = [1, 2, 3, 4]

>>> random.shuffle(my_list)
>>> my_list
# [1, 4, 3, 2]

>>> random.shuffle(my_list)
>>> my_list
# [2, 4, 3, 1]

>>> random.shuffle(my_list)
>>> my_list
# [4, 2, 3, 1]

sample()

random.sample(iterable, k: int)

sample returns a list with a random selection from an iterable. The number of elements returned is equal to the k parameter:

>>> random.sample([1, 2, 3, 4], 1)
# [3]
>>> random.sample([1, 2, 3, 4], 2)
# [3, 4]
>>> random.sample([1, 2, 3, 4], 3)
# [4, 3, 2]
>>> random.sample([1, 2, 3, 4], 4)
# [1, 2, 4, 3]

random()

The random method returns a random floating point number between 0.0 and 1.0:

>>> random.random()
# 0.4143139993007743
>>> random.random()
# 0.17300740157905092
>>> random.random()
# 0.548798761388153
>>> random.random()
# 0.7030407620656315

uniform()

the uniform method is similar to randint, but return a floating point number:

>>> random.uniform(1, 5)
# 3.697943322009309
>>> random.uniform(1, 5)
# 2.498812082006561
>>> random.uniform(1, 5)
# 2.7558465201782525
>>> random.uniform(1, 5)
# 3.0337059529999273