scipy stats.tmin()函数| Python
原文:https://www.geesforgeks.org/scipy-stats-tmin-function-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，同时忽略指定限制之外的值。
参数: 数组:输入数组或对象中具有计算最小值的元素。 轴:【默认值为零】输入包含要计算最小值的元素的数组或对象。 限值:数组的下限和上限要考虑，小于下限或大于上限的值将被忽略。如果限制为无[默认值]，则使用所有值。 包含:决定是包含等于下限还是上限的值，还是在计算时将其排除。
根据设定的参数返回:数组元素的几何平均值。
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)))
Output:
Trimmed Minimum : 1
Trimmed Minimum by setting limit : 6
代码#2: 检查不同参数
# 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))
Output:
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]
