Python statistics median_high()

The statistics.median_high function in Python's statistics module calculates the high median of a given set of numbers. The high median is the middle value in a sorted list of numbers. If the list has an even number of elements, the high median is the higher of the two middle values.

Table of Contents

1. Introduction
2. statistics.median_high Function Syntax
3. Examples
   • Basic Usage
   • Median High of a List of Numbers
   • Median High of a Tuple of Numbers
   • Handling Odd and Even Number of Elements
4. Real-World Use Case
5. Conclusion

Introduction

The statistics.median_high function is part of the statistics module, which provides functions for mathematical statistics of numeric data. The high median is useful in cases where you need the higher middle value in a dataset, especially when the dataset contains duplicate middle values.

statistics.median_high Function Syntax

Here's how you use the statistics.median_high function:

import statistics

median_high_value = statistics.median_high(data)

Parameters:

• data: A sequence or iterable of numeric data (list, tuple, etc.).

Returns:

• The high median of the given data.

Raises:

• StatisticsError: If data is empty.

Examples

Basic Usage

Calculate the high median of a list of numbers.

import statistics

data = [1, 2, 3, 4, 5]
median_high_value = statistics.median_high(data)
print(f"Median High: {median_high_value}")

Output:

Median High: 3

Median High of a List of Numbers

Calculate the high median of a list of integers.

import statistics

numbers = [10, 20, 30, 40, 50]
median_high_value = statistics.median_high(numbers)
print(f"Median High of numbers: {median_high_value}")

Output:

Median High of numbers: 30

Median High of a Tuple of Numbers

Calculate the high median of a tuple of floats.

import statistics

numbers = (1.5, 2.5, 3.5, 4.5, 5.5)
median_high_value = statistics.median_high(numbers)
print(f"Median High of numbers: {median_high_value}")

Output:

Median High of numbers: 3.5

Handling Odd and Even Number of Elements

Calculate the high median of lists with an odd and even number of elements.

Odd Number of Elements

import statistics

numbers = [1, 3, 3, 6, 7, 8, 9]
median_high_value = statistics.median_high(numbers)
print(f"Median High of numbers: {median_high_value}")

Output:

Median High of numbers: 6

Even Number of Elements

import statistics

numbers = [1, 2, 3, 4, 5, 6, 8, 9]
median_high_value = statistics.median_high(numbers)
print(f"Median High of numbers: {median_high_value}")

Output:

Median High of numbers: 5

Real-World Use Case

Calculating the High Median Income

Calculate the high median income from a list of incomes.

import statistics

incomes = [30000, 50000, 45000, 60000, 70000, 80000, 55000]
median_high_income = statistics.median_high(incomes)
print(f"Median High income: {median_high_income}")

Output:

Median High income: 55000

Conclusion

The statistics.median_high function is a simple and effective way to calculate the high median of a set of numbers in Python. It is useful for finding the higher middle value of a dataset, especially when the dataset contains an even number of elements. This function makes it easy to determine the high median value, which is a common requirement in data analysis and statistics.