Python statistics.harmonic_mean() Method with Examples

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statistics.harmonic_mean() Method:

The statistics.harmonic_mean() method determines the harmonic mean (central location) of a given data set.

Harmonic mean = The reciprocal of the arithmetic mean() of the data’s reciprocals.

The harmonic mean is computed in the following way:

If you have four values (a, b, c, and d), the result is 4 / (1/a + 1/b + 1/c + 1/d).

Syntax:

statistics.harmonic_mean(data)

Parameters

data: This is Required. It is the data values that will be used (it can be any sequence, list, or iterator).

Note:

  • Negative values are not permitted.
  • If the data is null or empty, it throws a StatisticsError.

Return Value:

Returns a float value corresponding to the harmonic mean of the given data.

Examples:

Example1:

Input:

Given list = [30, 50, 100]

Output:

The harmonic mean of the given list items [30, 50, 100]  =  47.36842105263158

Example2:

Input:

Given list = [20, 40, 60, 80]

Output:

The harmonic mean of the given list items [20, 40, 60, 80] = 38.4

statistics.harmonic_mean() Method with Examples in Python

Method #1: Using Built-in Functions (Static Input)

Approach:

  • Import statistics module using the import keyword.
  • Give the list as static input and store it in a variable.
  • Pass the given list as an argument to the statistics.harmonic_mean() method that determines the harmonic mean (central location) of a given data set (given list items).
  • Store it in another variable.
  • Print the harmonic mean (central location) of the given list items.
  • The Exit of the Program.

Below is the implementation:

# Import statistics module using the import keyword.
import statistics
# Give the list as static input and store it in a variable.
gvn_lst = [30, 50, 100]
# Pass the given list as an argument to the statistics.harmonic_mean() method
# that determines the harmonic mean (central location) of a given
# data set (given list items).
# Store it in another variable.
rslt = statistics.harmonic_mean(gvn_lst)
# Print the harmonic mean (central location) of the given list items.
print("The harmonic mean of the given list items", gvn_lst, " = ", rslt)

Output:

The harmonic mean of the given list items [30, 50, 100]  =  47.36842105263158

Method #2: Using Built-in Functions (User Input)

Approach:

  • Import statistics module using the import keyword.
  • Give the list as user input using list(),map(),input(),and split() functions.
  • Store it in another variable.
  • Pass the given list as an argument to the statistics.harmonic_mean() method that determines the harmonic mean (central location) of a given data set (given list items).
  • Store it in another variable.
  • Print the harmonic mean (central location) of the given list items.
  • The Exit of the Program.

Below is the implementation:

# Import statistics module using the import keyword.
import statistics
# Give the list as user input using list(),map(),input(),and split() functions.
# Store it in a variable.
gvn_lst = list(map(int, input(
    'Enter some random List Elements separated by spaces = ').split()))
# Pass the given list as an argument to the statistics.harmonic_mean() method
# that determines the harmonic mean (central location) of a given
# data set (given list items).
# Store it in another variable.
rslt = statistics.harmonic_mean(gvn_lst)
# Print the harmonic mean (central location) of the given list items.
print("The harmonic mean of the given list items", gvn_lst, " = ", rslt)

Output:

Enter some random List Elements separated by spaces = 20 40 60 80 
The harmonic mean of the given list items [20, 40, 60, 80] = 38.4