Python Statistics Module Overview

Explore the Python statistics module, which offers various functions for performing mathematical statistics on numeric data. Learn about key functions available in the module for analyzing and summarizing data.

Python - Statistics Module

The statistics module in Python provides functions for performing mathematical statistics on numeric data. Here are some of its key functions:

Mean

The mean() method calculates the arithmetic mean of the numbers in a list.

import statistics

print(statistics.mean([2, 5, 6, 9]))  # Output: 5.5

5.5

Median

The median() method returns the middle value of numeric data in a list.

import statistics

print(statistics.median([1, 2, 3, 8, 9]))  # Output: 3
print(statistics.median([1, 2, 3, 7, 8, 9]))  # Output: 5.0

3
5.0

Mode

The mode() method returns the most common data point in the list.

import statistics

print(statistics.mode([2, 5, 3, 2, 8, 3, 9, 4, 2, 5, 6]))  # Output: 2

2

Standard Deviation

The stdev() method calculates the standard deviation on a given sample in the form of a list.

import statistics

print(statistics.stdev([1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5]))  # Output: 1.3693063937629153

1.3693063937629153