sciPy stats.gmean()函数| Python
原文:https://www . geesforgeks . org/scipy-stats-gmean-function-python/
scipy.stats.gmean(array，axis=0，dtype=None) 计算数组元素沿数组指定轴的几何平均值(python 中的列表)。 是配方–
参数: 数组:输入具有计算几何平均值元素的数组或对象。 轴:计算平均值的轴。默认轴= 0 数据类型:设置返回元素的类型。 根据设定的参数返回:数组元素的几何平均值。
代码#1:
Python 3
# Geometric Mean
from scipy.stats.mstats import gmean
arr1 = gmean([1, 3, 27])
print("Geometric Mean is :", arr1)
Output:
Geometric Mean is : 4.32674871092
代码#2: 带多维数据
Python 3
# Geometric Mean
from scipy.stats.mstats import gmean
arr1 = [[1, 3, 27],
[3, 4, 6],
[7, 6, 3],
[3, 6, 8]]
print("Geometric Mean is :", gmean(arr1))
# using axis = 0
print("\nGeometric Mean is with default axis = 0 : \n",
gmean(arr1, axis = 0))
# using axis = 1
print("\nGeometric Mean is with default axis = 1 : \n",
gmean(arr1, axis = 1))
Output:
Geometric Mean is : [ 2.81731325 4.55901411 7.89644408]
Geometric Mean is with default axis = 0 :
[ 2.81731325 4.55901411 7.89644408]
Geometric Mean is with default axis = 1 :
[ 4.32674871 4.16016765 5.01329793 5.24148279]
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