Historical F1 Telemetry Data for F1
This is a Python web application using Dash, Plotly, Pandas, and Fast-F1, a library for retrieving Formula 1 data. The dashboard visualizes telemetry data from historical Formula 1 races, allowing users to compare the performance of two drivers for a specific lap during a session. The data is presented using interactive graphs, which are updated based on user inputs.
- Select race year, Grand Prix, session (FP1, FP2, FP3, Q, or R), and drivers to compare:
- Lap Comparison: View lap telemetry data for the selected drivers, including: Delta Time Speed (km/h) Throttle Brake Gear RPM DRS
- Interactive Lap Slider: Navigate through lap data with an interactive slider that dynamically updates visualizations.
- Caching Mechanism: Speeds up data retrieval by caching fetched telemetry data locally.
Python 3.7+
Dash
Fast-F1
Plotly
Pandas
Caching should almost alwasy be enabled to speed up the runtime and prevent exceeding the rate limit of api servers.
Set the cache directory:
fastf1.Cache.enable_cache(r'***path//to//cache//directory***')
Please see: https://theoehrly.github.io/Fast-F1/fastf1.html#caching for additional information.
Install Python 3.7 or higher if not already installed
Clone this repository
Install the required dependencies using the following command:
pip install -r requirements.txt
Run the app.py file in the command line:
python app.py
Open a web browser and navigate to http://127.0.0.1:8050/
Use the dropdown menus to select race year, Grand Prix, session, and drivers
Use the lap slider to select the lap number
Analyze and compare the telemetry data presented in the graphs
Contributions are welcome! Please feel free to submit a pull request or open an issue to discuss new features, bug fixes, or improvements.
This project is licensed under the MIT License.