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IQR function is added

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This commit is contained in:
Mitra-babu 2023-07-02 20:23:58 +05:30
parent 483d59adec
commit aa5dccb6b8
1 changed files with 10 additions and 10 deletions
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maths/inter_quartile_range.py
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@ -8,18 +8,18 @@ Script inspired from its corresponding Wikipedia article
https://en.wikipedia.org/wiki/Interquartile_range https://en.wikipedia.org/wiki/Interquartile_range
""" """
from typing import List import numpy as np
def find_median(x: List[float]) -> float: def find_median(x: np.array) -> float:
""" """
This is the implementation of median. This is the implementation of median.
:param x: The list of numeric values :param x: The list of numeric values
:return: Median of the list :return: Median of the list
>>> find_median([1,2,2,3,4]) >>> find_median(x=np.array([1,2,2,3,4]))
2 2
>>> find_median([1,2,2,3,4,4]) >>> find_median(np.array([1,2,2,3,4,4]))
2.5 2.5
@ -30,28 +30,28 @@ def find_median(x: List[float]) -> float:
return float((x[length // 2] + x[(length // 2) - 1]) / 2) return float((x[length // 2] + x[(length // 2) - 1]) / 2)
def inter_quartile_range(x: List[float]) -> float: def inter_quartile_range(x: np.array) -> float:
""" """
This is the implementation of inter_quartile This is the implementation of inter_quartile
range for a list of numeric. range for a list of numeric.
:param x: The list of data point :param x: The list of data point
:return: Inter_quartile range :return: Inter_quartile range
>>> inter_quartile_range([4,1,2,3,2]) >>> inter_quartile_range(x=np.array([4,1,2,3,2]))
2.0 2.0
>>> inter_quartile_range([25,32,49,21,37,43,27,45,31]) >>> inter_quartile_range(x=np.array([25,32,49,21,37,43,27,45,31]))
18.0 18.0
""" """
length = len(x) length = len(x)
if length == 0: if length == 0:
raise ValueError raise ValueError
x.sort() x.sort()
q1 = find_median(x[0 : length // 2]) q1 = find_median(x[0: length // 2])
if length % 2: if length % 2:
q3 = find_median(x[(length // 2) + 1 : length]) q3 = find_median(x[(length // 2) + 1: length])
else: else:
q3 = find_median(x[length // 2 : length]) q3 = find_median(x[length // 2: length])
return q3 - q1 return q3 - q1