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
# 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' )) |
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]
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