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How to calculate geometric mean in Python?

Posted on March 2, 2021March 14, 2022 By Luke K

Let’s see how to calculate the geometric mean in Python.
geometric mean python

Calculating a geometric mean with the statistics module

To calculate the geometric average, we need to import the statistics module.

Luckily, there is a dedicated function in the statistics module to calculate the geometric mean.

import statistics as s

x = [1, 5, 7, 8, 43, 6]

geometric_mean = s.geometric_mean(x)
print("Geometric mean equals: " + str(round(geometric_mean, 2)))

Calculating a geometric mean using numpy

You can use the Numpy Python library. To calculate the numpy geometric mean, you need to use such a code:

import statistics as s
import numpy as np

x = [1, 5, 7, 8, 43, 6]

geometric_mean = np.exp(np.mean(np.log(x)))
print("Geometric mean equals: " + str(round(geometric_mean, 2)))

The output is as follows:

Geometric mean equals: 6.45

Calculating a geometric mean using scipy

Alternatively, you can use scipy to calculate a geometric mean.

from scipy.stats import gmean

x = [1, 5, 7, 8, 43, 6]

geometric_mean = gmean(x)
print("Geometric mean equals: " + str(round(geometric_mean, 2)))

As you can see, gmean is the function that you can use to calculate the scipy geometric mean.

See also  How to fix ValueError: The truth value of an array with zero elements is ambiguous?
numpy, Scipy, statistics Tags:geometric mean, mean, round

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