NumPy Tutorial · NumPy Random

Pareto Distribution

Learn all about Pareto Distribution in this comprehensive tutorial.

5 min read advanced

A distribution following Pareto's law i.e. 80-20 distribution (20% factors cause 80% outcome).

It has two parameter:

a - shape parameter.

size - The shape of the returned array.

python

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

Visualization of Pareto Distribution

python

from numpy import randomimport matplotlib.pyplot as pltimport seaborn as sns
sns.displot(random.pareto(a=2, size=1000))plt.show()

2 questions

Which of the following is true about Pareto Distribution?

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

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

SyntaxErrorIndentationErrorNameErrorTypeError

Answer all questions to submit.