## Mode of a Distribution:

The most commonly occurring value in a distribution is called the modal value or simply the mode. It is possible that a distribution has no mode at all or more than one mode.

A distribution that has one most occurring value is called unimodal.

A distribution with two most occurring value has two modes and is called bimodal and one with three modes is called trimodal.

Mode is one of the measures of central tendancy.

## Method Name:

mode(data)

## Method Overview:

The Python mode() function takes data from any sequence or iterator type and returns the most occurring value in the data.

## Exceptions:

- The mode function will return the modal value only if the distribution has a unique mode. If the distribution has multiple modes, python raises StatisticsError; For Example, the mode() function will report “no unique mode; found 2 equally common values” when it is supplied of a bimodal distribution.
- If the parameter supplied to the mode function is found empty python raises a StatisticsError stating “statistics.StatisticsError: no mode for empty data”

## Example Python Program to find Mode of a distribution:

#import the python statistics module import statistics
# Define data points dataPoints = [1,2,3,4,5,5,5,6,7,8]
# Find mode - the most occurring value in a distribution mode = statistics.mode(dataPoints) print("Mode of the distribution is {}".format(mode)) |

## Output of the Python Program that finds the Mode of a distribution:

## Mode of the distribution is 5 |