# sciPy stats.percentileofscore () | python

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Suppose the x percentile is 60%, which 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:

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

Exit:

` 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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