maths.interquartile_range

An implementation of interquartile range (IQR) which is a measure of statistical dispersion, which is the spread of the data.

The function takes the list of numeric values as input and returns the IQR.

Script inspired by this Wikipedia article: https://en.wikipedia.org/wiki/Interquartile_range

Functions

find_median(→ float)	This is the implementation of the median.
interquartile_range(→ float)	Return the interquartile range for a list of numeric values.

Module Contents

maths.interquartile_range.find_median(nums: list[int | float]) → float

This is the implementation of the median. :param nums: The list of numeric nums :return: Median of the list >>> find_median(nums=([1, 2, 2, 3, 4])) 2 >>> find_median(nums=([1, 2, 2, 3, 4, 4])) 2.5 >>> find_median(nums=([-1, 2, 0, 3, 4, -4])) 1.5 >>> find_median(nums=([1.1, 2.2, 2, 3.3, 4.4, 4])) 2.65

maths.interquartile_range.interquartile_range(nums: list[int | float]) → float

Return the interquartile range for a list of numeric values. :param nums: The list of numeric values. :return: interquartile range

>>> interquartile_range(nums=[4, 1, 2, 3, 2])
2.0
>>> interquartile_range(nums = [-2, -7, -10, 9, 8, 4, -67, 45])
17.0
>>> interquartile_range(nums = [-2.1, -7.1, -10.1, 9.1, 8.1, 4.1, -67.1, 45.1])
17.2
>>> interquartile_range(nums = [0, 0, 0, 0, 0])
0.0
>>> interquartile_range(nums=[])
Traceback (most recent call last):
...
ValueError: The list is empty. Provide a non-empty list.