📜  scipy stats.tmin()函数| Python

📅  最后修改于: 2022-05-13 01:55:13.925000             🧑  作者: Mango

scipy stats.tmin()函数| Python

scipy.stats.tmin(array, lowerlimit=None, axis=0, inclusive=True)函数沿指定轴计算数组元素的修剪最小值,同时忽略位于指定限制之外的值。

代码#1:

# Trimmed Minimum 
  
from scipy import stats
import numpy as np 
  
# array elements ranging from 0 to 19
x = [1, 3, 27, 56, 2, 4, 13, 3, 6]
   
print("Trimmed Minimum :", stats.tmin(x)) 
  
  
print("\nTrimmed Minimum by setting limit : ", 
      stats.tmin(x, (5)))
输出:
Trimmed Minimum : 1

Trimmed Minimum by setting limit :  6


代码 #2:检查不同的参数

# Trimmed Minimum 
  
from scipy import stats
import numpy as np 
  
# array elements ranging from 0 to 19
x = [[1, 3, 27], 
     [3, 4, 7], 
     [7, 6, 3], 
     [3, 6, 8]]
  
print("Trimmed Minimum :", stats.tmin(x)) 
  
# setting axis
print("\nTrimmed Minimum by setting axis : ", 
      stats.tmin(x, axis = 1))
  
print("\nTrimmed Minimum by setting axis : ", 
      stats.tmin(x, axis = 0))
  
# setting limit
print("\nTrimmed Minimum by setting limit : ", 
      stats.tmin(x, (5), axis = 1))
  
  
print("\nTrimmed Minimum by setting limit : ", 
      stats.tmin(x, (5), axis = 0))
输出:
Trimmed Minimum : [1 3 3]

Trimmed Minimum by setting axis :  [1 3 3 3]

Trimmed Minimum by setting axis :  [1 3 3]

Trimmed Minimum by setting limit :  [27  7  6  6]

Trimmed Minimum by setting limit :  [7 6 7]