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 be computed. By default axis = 0 dtype: Optional. It sets the type of returned element. Returns : Harmonic mean of the array elements based on the set parameters.

Code #1:

Python3 1==

# Harmonic Mean 

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

Output:

Harmonic Mean is : 2.18918918919

Code #2: With multi-dimensional data

Python3 1==

# Harmonic Mean 

from scipy.stats.mstats import hmean
arr1 = [[1, 3, 27], 
        [3, 4, 6], 
        [7, 6, 3], 
        [3, 6, 8]] 
 
print("\nHarmonic Mean is :", hmean(arr1)) 

# using axis = 0
print("\nHarmonic Mean is with default axis = 0 : \n", 
      hmean(arr1, axis = 0))

# using axis = 1
print("\nHarmonic Mean is with default axis = 1 : \n", 
      hmean(arr1, axis = 1))

Output:

Harmonic Mean is : [ 2.21052632  4.36363636  6.04195804]

Harmonic Mean is with default axis = 0 : 
 [ 2.21052632  4.36363636  6.04195804]

Harmonic Mean is with default axis = 1 : 
 [ 2.18918919  4.          4.66666667  4.8       ]

sciPy stats.hmean() | Python

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