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]
