A simple tool made in python with pandas and matplotlib, which analyzes a csv containing gokart data about your races. Then it will plot a few graphs to show better your trend throught the years.
Feel free to contribute and improve the project. You can read the guidelines to contribute here
- pandas
- matplotlib
- seaborn
- date: when the race was held
- kart-type: if is a fuel kart or an electric one.
- race-type: if it's a free laps session or a real race.
- position: Position Conquered.
- track-type: if it's indoor or outdoor track.
- condition: track condition(rained, standard, cut-track, full-track)
- kart-type: motor power.
- avg-speed: average speed during the race.
- best-time: best of all times in that race.
- avg-time: average time during the race.
- best-time(TIME) and avg-time(TIME): just for cute visualization of times but terrific to manage in python.
The last info mentioned about data is a limit for the graphic visualization. That's because you're gonna see on the something like "54" or "54,2" instead of a more beautiful data such as "00:54:483".
Any hint or help is appreciated, read more about contributing below on this readme.
Launch the program by typing the following command.
python kart-analytics.py
The main menu looks like this:
For example we choose option 4, the following chart is the output:
