NumPy Tutorial · NumPy Random

Uniform Distribution

Learn all about Uniform Distribution in this comprehensive tutorial.

5 min read advanced

Used to describe probability where every event has equal chances of occuring.

E.g. Generation of random numbers.

It has three parameters:

low - lower bound - default 0.0

high - upper bound - default 1.0

size - The shape of the returned array

python

from numpy import randomx = random.uniform(size=(2, 3))print(val_1)

Visualization of Uniform Distribution

python

from numpy import randomimport matplotlib.pyplot as pltimport seaborn as sns
sns.displot(random.uniform(size=1000), kind="kde")plt.show()

2 questions

Which of the following is true about Uniform Distribution?

It is strictly typedIt is evaluated at runtimeIt requires explicit memory managementIt is deprecated

What is the most common pitfall when working with Uniform Distribution?

SyntaxErrorIndentationErrorNameErrorTypeError

Answer all questions to submit.