Mode represents the single most frequent value in a list, while multimode provides a list of all the values that occur with the highest frequency.

Let’s see how to calculate multimode in Python.

## Multimode Calculation Using the statistics Module

To calculate multimode, we need to import the statistics module.

Fortunately, the statistics module provides a dedicated function for calculating multimode.

import statistics as s x = [1, 5, 7, 5, 43, 43, 8, 43, 6] multimode = s.multimode(x) print("Multimode equals: " + str(multimode))

## Understanding the Difference Between Mode and Multimode

The mode is the most frequent number in a list of numbers.

The multimode is a list of the most frequent numbers in a list of numbers.

For example, if a list of numbers is [1, 2, 3, 3, 4, 4], then the mode would be either 3 or 4, and the multimode would be [3, 4], assuming both values appear with the highest frequency.

The difference between mode and multimode is that mode is a single number, while multimode is a list of numbers. While mode provides a quick snapshot of the most frequent value, multimode offers a more detailed view, especially in datasets where multiple values occur with the same highest frequency.