sciPy stats.trim1()函数| Python
scipy.stats.trim1(a, ratiotocut, tail='right')函数从传递的数组分布的一端切掉数组中的元素部分。
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.
代码 #1:工作
# 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'))
输出 :
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]