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sciPy stats.hmean() | Python

  • Last Updated : 07 Feb, 2019

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:




# 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



# 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       ]


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