scipy stats . shape()函数\ python
原文:https://www.geesforgeks.org/scipy-stats-tvar-function-python/
*【scipy . stats . tvar(array，limits=None，including =(1，1))* 函数计算数组元素的修剪方差，同时忽略位于指定限制之外的值。
是公式–
参数: 数组:输入具有计算修剪方差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会被忽略。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。
返回:根据设置的参数，对数组元素的方差进行修剪。
代码#1:
# Trimmed Variance
from scipy import stats
import numpy as np
# array elements ranging from 0 to 19
x = np.arange(20)
print("Trimmed Variance :", stats.tvar(x))
print("\nTrimmed Variance by setting limit : ",
stats.tvar(x, (2, 10)))
Output:
Trimmed Variance : 35.0
Trimmed Variance by setting limit : 7.5
代码#2: 检查“包含”标志
# Trimmed Variance
from scipy import stats
import numpy as np
# array elements ranging from 0 to 19
x = np.arange(20)
# Setting limits
print("\nTrimmed Variance by setting limit : ",
stats.tvar(x, (2, 10)))
# using flag
print("\nTrimmed Variance by setting limit : ",
stats.tvar(x, (2, 10), (False, True)))
print("\nTrimmed Variance by setting limit : ",
stats.tvar(x, (2, 12), (True, False)))
Output:
Trimmed Variance by setting limit : 7.5
Trimmed Variance by setting limit : 6.0
Trimmed Variance by setting limit : 9.16666666667
