sciPy stats.mean()函数| Python
原文:https://www.geesforgeks.org/scipy-stats-mean-function-python/
**scipy.stats.mean(array, axis=0)**函数计算数组元素沿数组指定轴的算术平均值(python 中的 list)。
是公式–
参数: 数组:输入有计算算术平均值元素的数组或对象。 轴:计算平均值的轴。默认情况下，轴= 0
返回:基于设置参数的数组元素的算术平均值。
代码#1:
# Arithmetic Mean
import scipy
arr1 = scipy.mean([1, 3, 27])
print("Arithmetic Mean is :", arr1)
Output:
Arithmetic Mean is : 10.3333333333
代码#2: 多维数据
# Arithmetic Mean
from scipy import mean
arr1 = [[1, 3, 27],
[3, 4, 6],
[7, 6, 3],
[3, 6, 8]]
print("Arithmetic Mean is :", mean(arr1))
# using axis = 0
print("\nArithmetic Mean is with default axis = 0 : \n",
mean(arr1, axis = 0))
# using axis = 1
print("\nArithmetic Mean is with default axis = 1 : \n",
mean(arr1, axis = 1))
Output:
Arithmetic Mean is : 6.41666666667
Arithmetic Mean is with default axis = 0 :
[ 3.5 4.75 11\. ]
Arithmetic Mean is with default axis = 1 :
[ 10.33333333 4.33333333 5.33333333 5.66666667]
