sciPy function stats.scoreatpercentile () | python

Michael Zippo 18.07.2021

The score at percentile = 50 is the median. If the required quantile lies between two data points, we interpolate them among ourselves according to the interpolation value.

Parameters:
arr: [array_like] input array.
per: [array_like] Percentile at which we need the score.
limit: [tuple] the lower and upper limits within which to compute the percentile.
axis: [int] axis along which we need to calculate the score.

Results: Score at Percentile relative to the array element.

Code # 1:

       # scoreatpercentile  
   from   scipy   import   stats 
   import   nump y as np 
   
  # 1D array  
   arr   =   [  20  ,   2  ,   7  ,   1  ,   7  ,   7  ,   34  ,   3  ]  
   
   print   (  "arr:"  , arr) 
   
   print   (  "Score at 50th percentile: " , 
     stats .scoreatpercentile (arr,   50  )) 
   
   print   ( " Score at 90th percentile: " , 
     stats .scoreatpercentile (arr,   90  )) 
   
   print   ( " Score at 10th percentile: " , 
     stats .scoreatpercentile (arr,   10  )) 
   
 < p>  print   (  "Score at 100th percentile:"  , 
   stats.scoreatpercentile (arr,   100  )) 
   
   print   (  "Score at 30th percentile:"  , 
   stats.scoreatpercentile (arr,   30  ))

Exit :

 arr: [20, 2, 7, 1, 7, 7, 34, 3] Score at 50th percentile: 7.0 Score at 90th percentile: 24.2 Score at 10th percentile: 1.7 Score at 100th percentile: 34.0 Score at 30th percentile: 3.4

Code # 2:

       # scoreatpercentile  
   from   scipy   import   stats 
   import   numpy as np 
   
   arr   =   [[  14  ,   17  ,   12  ,   33  ,   44  ], 
   [  15  ,   6  ,   27  ,   8  ,   19  ], 
     [   23  ,   2  ,   54  ,   1  ,   4  ,]] 
    
   print   ( " arr: " , arr) 
    
   print   (  "Score at 50th percentile:"   , 
   stats.scoreatpercentile ( arr,   50  )) 
   
   print   (  "Score at 50th percentile: " , 
     stats.scoreatpercentile ( arr,   50  , axis   =   1  )) 
   
   print   (  "Score at 50th percentile:"  , 
     stats.scoreatpercentile (arr,   50  , axis   =   0  ))

Exit:

 arr: [[14, 17, 12, 33, 44], [15 , 6, 27, 8, 19], [23, 2, 54, 1, 4]] Score at 50th percentile: 15.0 Score at 50th percentile: [17. 15. 4.] Score at 50th percentile: [15. 6 . 27. 8. 19.]