Generate a random float in Python

This post will discuss how to generate a random float between interval [0.0, 1.0) in Python.

1. Using `random.uniform()` function

You can use the random.uniform(a, b) function to generate a pseudorandom floating-point number n such that a <= n <= b for a <= b. To illustrate, the following generates a random float in the closed interval [0, 1]:

import random

if __name__ == '__main__':

rand = random.uniform(0, 1)

print(rand) # sample output: 0.8451879617198667

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2. Using `random.random()` function

If you need to generate a random floating-point number in the half-open interval [0.0, 1.0), you can call the random.random() function.

import random

if __name__ == '__main__':

rand = random.random()

print(rand) # sample output: 0.7559396034822106

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3. Using `random.randint()` function

With the random.randrange() function, you can generate a random floating-point number in the half-open interval [0.0, 1.0) in the following manner:

import random

if __name__ == '__main__':

rand = random.randrange(1000000) / 1000000

print(rand) # sample output: 0.441964

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4. Using `numpy.random.random()` function

If you prefer NumPy, you can use the numpy.random.random() function to generate random floats in the half-open interval [0.0, 1.0).

import numpy as np

if __name__ == '__main__':

rand = np.random.random()

print(rand) # sample output: [0.07855596]

5. Using `numpy.random.random_sample()` function

Another solution to generate random floats in the half-open interval [0.0, 1.0) with NumPy is using the numpy.random.random_sample() function.

import numpy as np

if __name__ == '__main__':

rand = np.random.random_sample()

print(rand) # sample output: 0.5320258785026352

That’s all about generating a random float in Python.

Generate a random float in Python

1. Using random.uniform() function

2. Using random.random() function

3. Using random.randint() function

4. Using numpy.random.random() function

5. Using numpy.random.random_sample() function

Share this:

1. Using `random.uniform()` function

2. Using `random.random()` function

3. Using `random.randint()` function

4. Using `numpy.random.random()` function

5. Using `numpy.random.random_sample()` function