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1 dzień temu · FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry. Main Features. Access to F1 timing data, telemetry, sessions results and more. Full support for Ergast to access current and historical F1 data.
"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.
The tutorial focuses on visualizing pitstop and tyre strategies in Formula 1 races using Python libraries such as Fastf1, Pandas, and Matplotlib. It uses the 2021 Russian GP as an example and guides users through setting up the environment, collecting data, and plotting the data.
FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry. Main Features. Access to F1 timing data, telemetry, sessions results and more. Full support for Ergast to access current and historical F1 data.
The theOehrly/Fast-F1 Python package provides a relatively straightforward way of downloading and accessing telemetry data from the Formula One website and the ergast historical motor racing results database.
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...
FastF1 gives you access to F1 lap timing, car telemetry and position, tyre data, weather data, the event schedule and session results. Main features: Access to F1 timing data, telemetry, sessions results and more. Full support for Ergast to access current and historical F1 data
