Python Tutorials · Machine Learning

Percentile

Learn all about Percentile in this comprehensive tutorial.

5 min read advanced

•Percentiles are used in statistics to give you a number that describes the value that a given percent of the values are lower than.

What are Percentiles?

Percentiles are used in statistics to give you a number that describes the value that a given percent of the values are lower than.

Example: Let's say we have an array that contains the ages of every person living on a street.

What is the 75. percentile? The answer is 43, meaning that 75% of the people are 43 or younger.

The NumPy module has a method for finding the specified percentile:

python

import numpyages = 
  [5,31,43,48,50,41,7,11,15,39,80,82,32,2,8,6,25,36,27,61,31]
val_1 = numpy.percentile(ages, 75)print(val_1)

python

import numpyages = 
  [5,31,43,48,50,41,7,11,15,39,80,82,32,2,8,6,25,36,27,61,31]
val_1 = numpy.percentile(ages, 90)print(val_1)

2 questions

Which of the following is true about Percentile?

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

What is the most common pitfall when working with Percentile?

SyntaxErrorIndentationErrorNameErrorTypeError

Answer all questions to submit.