F1 project to analyze the data of the F1 championship making use of the pandas library to handle the data and the matplotlib library to plot different analisys like:
- Track dominance
- Top speed
- Lap time average
- Lap time distribution
- Team performance
- Fastest laps
- Race position evolution
- Fatest drivers each compound
- Comparative lap time
- Throttle usage
- Braking usage
- Long runs
- Optimal lap impact
To install the repository, you can make a fork of the repository or cloning my repository using the following command:
git clone git@github.com:Maxbleu/F1Analisys.git
This is the requirements needs to run this proyect.
-
Docker
pip install docker
How this proyect use Docker to run it, so you will need to create a new image of the proyect.
docker build -t f1analisys:latest .
To run the project, execute the following command:
docker run -p 8000:8000 f1analisys:latest
This project is designed to get every analisys named before for normal persons out of the tech word interested in the technical part of F1 and developers.
In every endpoint of this project, after the url, you can put if you want convert the image to bytes putting
?convert_img=True in the url, because, ?convert_img=False is enabled by default.
In this case the url would be: this example
In this case the url would be: this example
To see the endpoints of the project you only need to this link
For contributing to this project, you need to read first of all CONTRIBUTING.md
I want to thank to Fastf1 project for the data, and to the F1 community for the passion and the love for the sport. If that project don't exist, this project wouldn't exist. I only have one word in my mind: THANK YOU.
F1Analisys is unofficial and are not associated in any way with the Formula 1 companies. F1, FORMULA ONE, FORMULA 1, FIA FORMULA ONE WORLD CHAMPIONSHIP, GRAND PRIX and related marks are trade marks of Formula One Licensing B.V.