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) |
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 )) |
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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