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