In this short guide, you’ll see how to calculate the *geometric mean* in Python.

## 3 Ways to Calculate the Geometric Mean in Python

In the sections below, you’ll observe 3 ways to calculate the geometric mean in Python. For each of the methods to be reviewed, the goal is to derive the geometric mean, given the following values:

**8, 16, 22, 12, 41**

### Method 1: Simple Calculations to get the Geometric Mean

To start, you can use the following calculations to get the geometric mean:

multiply_values = 8*16*22*12*41 n = 5 geometric_mean = (multiply_values)**(1/n) print ('The Geometric Mean is: ' + str(geometric_mean))

Where:

*multiply_values*represents the multiplication of all the values in the dataset*n*reflects the number of items in the dataset. In our example, there are 5 items*geometric_mean = (multiply_values)**(1/n)*is the actual calculation to derive the geometric mean

Run the code in Python, and you’ll get the following result: **16.9168**

### Method 2: Using a List to Derive the Geometric Mean in Python

Alternatively, you can place all the values in a *list,* where each value should be separated by a comma:

multiply = 1 values = [8,16,22,12,41] n = len(values) for i in values: multiply = (multiply)*(i) geometric_mean = (multiply)**(1/n) print ('The Geometric Mean is: ' + str(geometric_mean))

Once you run the code in Python, you’ll get the same result: **16.9168**

### Method 3: Using Pandas and Scipy

You could also use Pandas and Scipy to obtain the geometric mean:

from pandas import DataFrame from scipy.stats.mstats import gmean data = {'values': [8,16,22,12,41]} df = DataFrame(data) geometric_mean = gmean(df.loc[:,'values']) print ('The Geometric Mean is: ' + str(geometric_mean))

As before, you’ll get the same geometric mean: **16.9168**