Upset-Plot

Simple Script to demo the Upset plot graphing visualization -

Tip

Head over to the project page for this, because their stuff is better than this stuff

Python UpSet Plot Project Original

Example Output

This is what you can expect from this plotting script, it should be fairly self-evident what the purpose is, but if you need a more in-depth understanding of how the data is intended to be read, refer to this website (UofU Upset Plot Home)[https://upset.app/]

Usage

Really just head on down into the .py file, and on lines 155-166 edit these to be what you need them to be:

generate_upset_plot(
    data_file='demo-data.csv',       # Replace with data file path
    file_type='csv',                 # Change to 'csv' if using a CSV file, xlsx if using an inferior filetype
    sort_by='cardinality',           # Options: 'cardinality' or 'degree'
    show_counts='%d',                # Format for displaying counts
    max_intersections=20,            # Show only top 20 intersections/interactions
    min_values=1000,                  # Exclude intersections with 'Values' less than 1000, to limit nonsense and tightly packed visuals
    figsize=(14, 10),                # Increase figure size for better readability
    element_size=40,                 # Adjust element size as needed
    font_size=10,                    # Set the font size
    label_rotation=45                # Rotate x-axis labels by 45 degrees
)

Run the script, then you'll have to fight with matplotlib a bit and fiddling with the sizing, and hopefully profit?

Reqs

You'll need to install some python libs to get this working, here are those reqs:

pip install pandas matplotlib upsetplot