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

## 3 Ways to Calculate the Mean in Python

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

**8, 20, 12, 15, 4**

### Method 1: Simple Average Calculation

To start, you can use the following average calculations to derive the mean:

sum_values = 8 + 20 + 12 + 15 + 4 n = 5 mean = sum_values/n print ('The Mean is: ' + str(mean))

Where:

*sum_values*represents the sum of all the values in the dataset*n*reflects the number of items in the dataset. In this case, there are 5 items*mean*=*sum_values/n*is the actual calculation to get the mean

When you run the code in Python, you’ll get the mean of **11.8**

### Method 2: Using a List to get the Mean

Alternatively, you can use a *list* that contains the values to be averaged (here, you’ll noticed that the values are placed in a list, where each value is separated by a comma):

sum = 0 values = [8,20,12,15,4] n = len(values) for i in values: sum = sum + i mean = sum/n print ('The Mean is: ' + str(mean))

When you run the code, you’ll get the same mean of **11.8**

### Method 3: Using Pandas to get the Mean in Python

You can also derive the mean using Pandas.

In our example, you’ll need to apply the syntax below to get the mean:

from pandas import DataFrame data = {'values': [8,20,12,15,4]} df = DataFrame(data) mean = df['values'].mean() print ('The Mean is: ' + str(mean))

As before, you’ll get the mean of **11.8**