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interquartile_range function is added

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This commit is contained in:
Mitra-babu 2023-08-02 00:23:54 +05:30
parent a3fcc646c3
commit ae37fc40be
1 changed files with 6 additions and 5 deletions
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11
maths/inter_quartile_range.py → maths/interquartile_range.py
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@ -30,24 +30,25 @@ def find_median(x: np.array) -> float:
return float((x[length // 2] + x[(length // 2) - 1]) / 2)
def inter_quartile_range(x: np.array) -> float:
def interquartile_range(x: np.array) -> float:
"""
This is the implementation of inter_quartile
range for a list of numeric.
:param x: The list of data point
:return: Inter_quartile range
>>> inter_quartile_range(x=np.array([4,1,2,3,2]))
>>> interquartile_range(x=np.array([4,1,2,3,2]))
2.0
>>> inter_quartile_range(x=np.array([25,32,49,21,37,43,27,45,31]))
>>> interquartile_range(x=np.array([25,32,49,21,37,43,27,45,31]))
18.0
"""
length = len(x)
if length == 0:
raise ValueError
raise ValueError("The list is empty. Provide a non-empty list.")
x.sort()
q1 = find_median(x[0 : length // 2])
q1 = find_median(x[0: length // 2])
half_length = (length // 2) + 1 if length % 2 else length // 2
q3 = find_median(x[half_length:length])
return q3 - q1