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 hmeanarr1 = [[1, 3, 27],         [3, 4, 6],         [7, 6, 3],         [3, 6, 8]]    print("\nHarmonic Mean is :", hmean(arr1))   # using axis = 0print("\nHarmonic Mean is with default axis = 0 : \n",       hmean(arr1, axis = 0))  # using axis = 1print("\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       ]

My Personal Notes arrow_drop_up