sciPy stats.percentileofscore() | Python

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]

Percentile of 7  :  57.1428571429

Percentile of 34 :  100.0

Percentile of 2  :  28.5714285714