Formula 1 - Data Analysis

Project Description

The aim of this project is to create scripts to analyse and study Formula 1 telemetry.

How to Install and Run the Project

The data used for this project are taken from fastf1 library. If it is your first time with this library, you have to install the library with the following command in the prompt.

pip install fastf1

Note that Python 3.8 or higher is required. (The live timing client does not support Python 3.10, therefore full functionality is only available with Python 3.8 and 3.9).

After that, to use the API functions, of course, you have to import the library into your project.

import fastf1 as ff1

How to Use the Project

Caching

Since every weekend produce a huge amount of data, it takes time to load the data itself. The library gives us caching functionality that stores the data from a race weekend in a folder. You have to create a folder called 'cache' and enable the caching.

ff1.Cache.enable_cache('cache') # the argument is the name of the folder. Be careful at your folder path. 

Load session data

To load the data from a session, you gotta to specify three parameters:

1. The year
2. The Grand Prix
3. The Session

From the following code, we load the Race of the 2022 Imola Grand Prix.

race = ff1.get_session(2022, 'Imola', 'R')

Documentation

Fastf1 has its documentation, where you can find all its functionality.

Plot Example

This is the speed telemetry plot between Charles Leclerc and Max Verstappen through their fastest lap during 2022 Race in Imola Grand Prix.