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sciPy stats.percentileofscore() | Python

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  • Last Updated : 12 Nov, 2021

scipy.stats.percentileofscore(a, score, kind=’rank’) function helps us to calculate percentile rank of a score relative to a list of scores.
Suppose percentile of x is 60% that means that 80% of the scores in a are below x.
 

Parameters : 
arr : [array_like] input array. 
score : [int or float] Score compared to the elements in array. 
kind : [optional] ‘rank’, ‘weak’, ‘strict’, ‘mean’. 
Results : Percentile of the scores relative to the array element. 

Code #1: 
 

Python3




# percentileofscore
from scipy import stats
import numpy as np
 
# 1D array 
arr = [20, 2, 7, 1, 7, 7, 34]
print("arr : ", arr) 
 
print ("\nPercentile of 7  : ", stats.percentileofscore(arr, 7))
 
print ("\nPercentile of 34 : ", stats.percentileofscore(arr, 34))
 
print ("\nPercentile of 2  : ", stats.percentileofscore(arr, 2))

Output:

arr :  [20, 2, 7, 1, 7, 7, 34]

Percetile of 7  :  57.1428571429

Percetile of 34 :  100.0

Percetile of 2  :  28.5714285714

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