# 3 Ways to Calculate the Geometric Mean in Python

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
• 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