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 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]
Contact Us