Tutorials References Menu
HTML CSS JAVASCRIPT SQL PYTHON PHP BOOTSTRAP HOW TO W3.CSS JAVA JQUERY C++ C# R

Python Tutorial

Python HOME Python Intro Python Get Started Python Syntax Python Comments Python Variables
Python Variables Variable Names Assign Multiple Values Output Variables Global Variables
Python Data Types Python Numbers Python Casting Python Strings
Python Strings Slicing Strings Modify Strings Concatenate Strings Format Strings Escape Characters String Methods
Python Booleans Python Operators Python Lists
Python Lists Access List Items Change List Items Add List Items Remove List Items Loop Lists List Comprehension Sort Lists Copy Lists Join Lists List Methods
Python Tuples
Python Tuples Access Tuples Update Tuples Unpack Tuples Loop Tuples Join Tuples Tuple Methods
Python Sets
Python Sets Access Set Items Add Set Items Remove Set Items Loop Sets Join Sets Set Methods
Python Dictionaries
Python Dictionaries Access Items Change Items Add Items Remove Items Loop Dictionaries Copy Dictionaries Nested Dictionaries Dictionary Methods
Python If...Else Python While Loops Python For Loops Python Functions Python Lambda Python Arrays Python Classes/Objects Python Inheritance Python Iterators Python Scope Python Modules Python Dates Python Math Python JSON Python RegEx Python PIP Python Try...Except Python User Input Python String Formatting

File Handling

Python File Handling Python Read Files Python Write/Create Files Python Delete Files

Python Modules

NumPy Tutorial Pandas Tutorial SciPy Tutorial

Python Matplotlib

Matplotlib Intro Matplotlib Get Started Matplotlib Pyplot Matplotlib Plotting Matplotlib Markers Matplotlib Line Matplotlib Labels Matplotlib Grid Matplotlib Subplots Matplotlib Scatter Matplotlib Bars Matplotlib Histograms Matplotlib Pie Charts

Machine Learning

Getting Started Mean Median Mode Standard Deviation Percentile Data Distribution Normal Data Distribution Scatter Plot Linear Regression Polynomial Regression Multiple Regression Scale Train/Test Decision Tree

Python MySQL

MySQL Get Started MySQL Create Database MySQL Create Table MySQL Insert MySQL Select MySQL Where MySQL Order By MySQL Delete MySQL Drop Table MySQL Update MySQL Limit MySQL Join

Python MongoDB

MongoDB Get Started MongoDB Create Database MongoDB Create Collection MongoDB Insert MongoDB Find MongoDB Query MongoDB Sort MongoDB Delete MongoDB Drop Collection MongoDB Update MongoDB Limit

Python Reference

Python Overview Python Built-in Functions Python String Methods Python List Methods Python Dictionary Methods Python Tuple Methods Python Set Methods Python File Methods Python Keywords Python Exceptions Python Glossary

Module Reference

Random Module Requests Module Statistics Module Math Module cMath Module

Python How To

Remove List Duplicates Reverse a String Add Two Numbers

Python Examples

Python Examples Python Compiler

Python statistics.median_high() Method

❮ Statistic Methods

Example

Calculate the high median (middle value) of the given data:

# Import statistics Library
import statistics

# Calculate the high middle values
print(statistics.median_high([1, 3, 5, 7, 9, 11, 13]))
print(statistics.median_high([1, 3, 5, 7, 9, 11]))
print(statistics.median_high([-11, 5.5, -3.4, 7.1, -9, 22]))
Try it Yourself »

Definition and Usage

The statistics.median_high() method calculates the high median of the given data set. This method also sorts the data in ascending order before calculating the high median.

Note: If the number of data values is odd, it returns the exact middle value. If the number of data values is even, it returns the larger of the two middle values.

Syntax

statistics.median_high(data)

Parameter Values

Parameter Description
data Required. The data values to be used (can be any sequence, list or iterator)

Note: If data is empty, it returns a StatisticsError.

Technical Details

Return Value: A float value, representing the high median (middle value) of the given data
Python Version: 3.4

❮ Statistic Methods