scipy stats.moment() function | Python

sciPy stats.gmean() function | Python

Last Updated : 11 Jul, 2025

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]

scipy stats.moment() function | Python

V

vishal3096

Improve

Article Tags :

Practice Tags :

python

Similar Reads

sciPy stats.mean() function | Python

scipy.stats.mean(array, axis=0) function calculates the arithmetic 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 arithmetic mean. axis: Axis along which the mean is to b

scipy stats.moment() function | Python

scipy.stats.moment(array, axis=0) function calculates the nth moment about the mean for a sample i.e. array elements along the specified axis of the array (list in python). Its formula - Parameters : array : Input array or object having the elements to calculate the moment. axis : Axis along which t

scipy stats.normaltest() function | Python

scipy.stats.normaltest(array, axis=0) function test whether the sample is different from the normal distribution. This function tests the null hypothesis of the population that the sample was drawn from. Parameters : array : Input array or object having the elements. axis : Axis along which the norm

sciPy stats.sem() function | Python

scipy.stats.sem(arr, axis=0, ddof=0) function is used to compute the standard error of the mean of the input data. Parameters : arr : [array_like]Input array or object having the elements to calculate the standard error. axis : Axis along which the mean is to be computed. By default axis = 0. ddof :

sciPy stats.tsem() function | Python

scipy.stats.tsem(array, limits=None, inclusive=(True, True)) calculates the trimmed standard error of the mean of array elements along the specified axis of the array. Its formula :- Parameters : array: Input array or object having the elements to calculate the trimmed standard error of the mean. ax

sciPy stats.hmean() | Python

scipy.stats.hmean(array, axis=0, dtype=None) calculates the harmonic 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 harmonic mean. axis: Axis along which the mean is to b