sciPy stats.trim1() function | Python

scipy.stats.trim1(a, proportiontocut, tail=’right’) function slices off the portion of 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: Working

filter_none

edit
close

play_arrow

link
brightness_4
code

# stats.trim1() method 
import numpy as np
from scipy import stats
   
arr1 = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
  
print ("\narr1 : ", arr1)
  
print ("\nclipped arr1 : \n"
       stats.trim1(arr1, proportiontocut = .3, tail = 'right'))
  
print ("\nclipped arr1 : \n"
       stats.trim1(arr1, proportiontocut = .3, tail = 'left'))
  
print ("\nclipped arr1 : \n"
       stats.trim1(arr1, proportiontocut = .1, tail = 'left'))
  
print ("\nclipped arr1 : \n"
       stats.trim1(arr1, proportiontocut = .1, tail = 'right'))

chevron_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]
My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.