mathdatech/Python
1
0
Fork 0
mirror of https://github.com/TheAlgorithms/Python.git synced 2025-02-25 10:28:39 +00:00
Code Issues Packages Projects Releases Wiki Activity

interquartile_range function is added

Browse Source
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
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

9
maths/inter_quartile_range.py → maths/interquartile_range.py
View File

@ -30,22 +30,23 @@ def find_median(x: np.array) -> 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: np.array) -> float: def interquartile_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(x=np.array([4,1,2,3,2])) >>> interquartile_range(x=np.array([4,1,2,3,2]))
2.0 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 18.0
""" """
length = len(x) length = len(x)
if length == 0: if length == 0:
raise ValueError raise ValueError("The list is empty. Provide a non-empty list.")
x.sort() 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 half_length = (length // 2) + 1 if length % 2 else length // 2