sciPy stats.gmean() function | Python

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 obejct 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:

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

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Output:

Geometric Mean is : 4.32674871092

 
Code #2: With multi-dimensional data

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# 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))  

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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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