# How to Find or Calculate Grouped Median in Python using median_grouped() Function

`median_grouped()` function exists in Standard statistics Library of Python Programming Language. The basic purpose of this function is to calculate the median of given continuous grouped numeric data. The given data will always be in the form of sequence or iterator.

Median is used to locate the central tendency of grouped numeric data.

## Syntax of `median_grouped()` Function in Python

The syntax of `median_grouped()` function in Python is as follows:
`statistics.mean_grouped(data, interval = n)`

## Parameters of `median_grouped()` Function in Python

`data` – This parameter can be any sequence or iterator (lists, tuples)
`interval` – This parameter represents the class interval. By default, a class interval is 1. But we can use any class interval `n` where `n` is an integer.Note: If data is empty, `median_grouped()` function raises a `StatisticsError`

## Return Value of `median_grouped()` in Python

Return value of `median_grouped()` is a floating point number after calculating median of given data in iterator (lists, tuples)

## `median_grouped()` Function Examples in Python

```# import statistics library
import statistics

print(statistics.median_grouped([60,70,80,90]))

print(statistics.median_grouped([3,9,12,15,17], 1))

print(statistics.median_grouped([3,9,12,15,17], 2))
```

Output of `median_grouped()` Function in Python
```79.5 12.0 12.0```