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"f1-analysis" is a GitHub repository dedicated to harnessing the power of the FastF1 library in Python for comprehensive analysis of Formula 1 data, facilitating in-depth insights into race performance and strategies.
29 sty 2022 · This tutorial will show you how you can visualize the pitstop- and tyre strategies of a race, like in the following figure: Doing this will learn you how reshape the raw data to the format we...
This tutorial demonstrates how to visualize Formula 1 race strategies using Python, Fastf1, Pandas, and Matplotlib. Abstract. The tutorial focuses on visualizing pitstop and tyre strategies in Formula 1 races using Python libraries such as Fastf1, Pandas, and Matplotlib.
This repository contains a collection of Jupyter notebooks that I have created to analyze Formula 1 data. The notebooks cover a wide range of topics, including race results, driver performance, and car performance.
2 sie 2023 · In this article, we will learn how to analyze the data of the 2022 Bahrain Grand Prix using Python. Step 1: Data Collection. Firstly, we will use the ergast API to access the results and race...
8 gru 2023 · FastF1 is a simple yet powerful tool for anyone interested in Formula 1. It's a Python library that lets you easily access and analyse F1 data. The library grants you access to a wide range of F1 data, including lap timing, car telemetry, position, tyre data, weather data, event schedules, and session results.
Accessing Formula -1 Race's 🏎 historical data using Python . Analyzing the 2021 Abu Dhabi Grand Prix with the Fast F1 library