Mean in Python - Scaler Topics

Overview

One of the most crucial functions when operating with statistics and massive volumes of data is the mean/arithmetic average. Such that, from big data sets, prominent values may be retrieved using a function like mean() in Python. A sum of data divided by the count of data points yields the arithmetic mean. It determines the center of a group of values with a wide range of values. When it comes to data analysis and statistics, Python is a fairly preferred language. Python 3 has a statistics package with convenient methods like mean(), median(), mode(), etc.

Introduction to Mean in Python

The mean or average of a given list of integers may be calculated using the mean() function. It provides the mean of the parameters-passed data collection. The sum of the data divided by the total number of data points is the arithmetic mean. It is a measurement of the data's centrality within a range of values.

Method 1: Simple Average Calculation

Output

Method 2 : Using mean() Function

Calculating statistics for numeric data is made possible by the functions in Python's Statistics module. To get the average of values and lists, the mean() built-in Python statistics method is used. Data can be sent as input to the mean() method, which returns the data's mean. Import the Python statistics module before using the mean function to return the mean of the supplied list. The return type of the mean() method in Python is float.

Syntax:

The parameter data contains the list of values whose mean is to be calculated.
If a parameter is not passed then the method returns a statistical error.

Output

Example of mean() method

Output

Method 3: Using sum() and len() to Get the Mean of List

Python's two built-in functions are implemented to determine the mean of a list of numerical data. Using sum(), we first add the sample values. Next, using len(), we find the length of the sample list to finally divide that total by length to obtain the mean value of the provided list.

Sum() is the first function. This built-in function returns the sum of the values of an iterable of numerical values.
Len() is the second function. The length of an object is returned by this built-in function.

Output

Conclusion

In this article, we discussed the following ways to calculate the mean in Python:

The for loop can be used to determine the average/mean from a list of numbers.
To get the average of the elements in a given list, we can leverage built-in functions in Python instead of for loops. The sum of each element in the list may be calculated using the sum() function and the len() method can be used to determine how many elements are in the list overall. Then divide these two values to get the mean value.
Compute the average of the list's elements directly using the mean() function of the statistics module. The mean() function will receive the specified list of integers as input and return the average of those numbers.