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

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# 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]