sciPy function stats.trim1 () | python

NumPy | Python Methods and Functions

scipy.stats.trim1 (a, proportional cut, tail = & # 39; right & # 39;) function truncates some of the elements in the array from one end of the passed array distribution.

Parameters:
arr: [array_like] Input array or object to trim.
tail: [optional] {`left`, `right`} Defaults to right.
proportiontocut: Proportion (in range 0-1) of data to trim of each end.

Results: trimmed array elements from both the ends in the given proportion.

Code # 1: Work

  < / tr>       # stats.trim1 () method  
   import   numpy as np 
   from   scipy   import   stats 
    
   arr1   =   [  0  ,   1  ,   2  ,   3  ,   4  ,   5  ,   6  ,   7  ,   8  ,   9  ] 
    
   print   (  "arr1:"  , arr1) 
   
   print   ( " clipped arr1: " ,  
    stats.trim1 (arr1, proportiontocut   =  .   3  , tail   =   `right`  )) 
    
   print   (  "clipped arr1:"  , 
    stats.trim1 (arr1 , proportiontocut   =  .   3  , tail   =  ` left`  ))  
    
   print   (  "clipped arr1:"  , 
    stats.trim1 (arr1, proportiontocut   =  .   1  , tail   =   `left`  ))   
  
   print   (  "clipped arr1:"  , 
    stats.trim1 (arr1, proportiontocut   =  .   1  , tail   =   `right`  ))

Output:

 arr1: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] clipped arr1: [0 2 1 3 4 5 6] clipped arr1: [3 4 6 5 7 8 9] clipped arr1: [1 3 2 4 5 6 7 8 9] clipped arr1: [0 2 1 3 4 5 6 7 8]

sciPy function stats.trim1 () | python

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