Visualizing Trackman Pitching Data

This python script pitchers.py visualizes given Trackman data for every pitcher of every game.

How to use

Below are the instructions for how to use the Python script to visualize the pitching data from Trackman.

1) Configure home team

Before executing the program, you need to change the HOME_TEAM variable at the top of the script with the Trackman code for your team. To find this code, go to the HomeTeam column of your Trackman data. Assuming you are the home team, your code will be the first one listed. If you are the away team, find the AwayTeam column of the Trackman data and your code should be the first one listed. This will make sure your pitchers have priority when saving to your system.

Optional

You may also change the DPI variable to change the resolution of your visualizations. A larger DPI means larger files and visualizations, and a lower DPI means smaller files and visualizations. By default, DPI is set to 200.

2) Execute the program

3) Select all Trackman .csv files for visualization

Your file manager will open asking for all the data you need to visualize. The script strictly requires .csv files (for now).

4) Select destination folder

Your file manager will open once more asking where you would like to save these visualizations. Choose any folder at your convenience.

Results

Once the program has finished, it will automatically open your destination folder (see step 4 in "How to use") where all of your visualizations will be saved. The folder's will be organized as such:

Home team pitcher -> Game day -> Visualizations
Opponents -> Game day -> Opponent pitchers -> Visualizations

See Also

Link	Description
Sample Visualizations	See Sample Visualizations/Dillon_Grady/2023_04_25 for the best examples
Visualization Documentation	Everything you need to know about each type of visualization the script produces