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
# percentileofscorefrom scipy import statsimport 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