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
# 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
filter_none
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]
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.
