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sciPy stats.gmean() function | Python

  • Last Updated : 19 Aug, 2021

scipy.stats.gmean(array, axis=0, dtype=None) calculates the geometric mean of the array elements along the specified axis of the array (list in python). 
It’s formula – 
 

 

Parameters : 
array: Input array or object having the elements to calculate the geometric mean. 
axis: Axis along which the mean is to be computed. By default axis = 0 
dtype: It sets the type of returned element.
Returns : Geometric mean of the array elements based on the set parameters.

Code #1: 
 



Python3




# Geometric Mean
 
from scipy.stats.mstats import gmean
arr1 = gmean([1, 3, 27])
  
print("Geometric Mean is :", arr1)
Output: 
Geometric Mean is : 4.32674871092

 

  
Code #2: With multi-dimensional data 
 

Python3




# 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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