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# What is the statistics median_grouped() method in Python? Onyejiaku Theophilus Chidalu

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### Overview

Python’s statistics.median_grouped() method computes the median of grouped continuous data.

Mathematically, the formula used to calculate the median of grouped continuous data is:

$\large \mathbf{Median = L \ + \frac{(n/2) - B}{G} \ \times W}$

In this formula:

• L represents the lower limit of the group containing the median.

• n represents the total number of values.

• B represents the cumulative frequency of the group before the median group.

• G represents the frequency of the median group.

• W represents the width of the group.

### Syntax

statistics.median_grouped(data, interval)


### Parameter value

 Parameter Description data This is a required argument. It contains the data values. interval This is an optional argument. It represents the class interval. The default value is 1.

### Code example

Let’s look at how we can use the statistics.median_grouped() method to calculate the mean value for grouped continuous data:

import statistics

data1 = [1, 2, 3, 4, 5]
print(statistics.median_grouped(data1))

# using a step size of 2
print(statistics.median_grouped(data1, 2))


### Code explanation

• Line 1: We import the statistics module.
• Line 3: We create a data variable called data1.
• Line 5: We use the statistics.median_grouped() method to get the median value of the grouped data in data1.
• Line 6: We use the statistics.median_grouped() method to get the median value of the grouped data, using an interval value of 2.

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python
method
statistics
median
communitycreator

CONTRIBUTOR Onyejiaku Theophilus Chidalu

Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

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