sortscore

Quickstart

1. Install dependencies

   pip install -r requirements.txt

2. Example usage

   import pandas as pd
   from sortscore.analysis.score import calculate_activity_scores
   from sortscore.visualization.plots import plot_activity_score_distribution
   
   # Load your data
   df = pd.read_csv('your_data.csv')
   
   # Calculate activity scores
   scores = calculate_activity_scores([df], method='simple-avg')
   
   # Plot distribution
   plot_activity_score_distribution(scores, score_col='avgscore')

Further Documentation

• For detailed installation, configuration, and usage instructions, see the docs/ folder:
  • Installation Guide
  • Usage Guide
  • Documentation Index
• See config/example_experiment.json and config/experiment_setup.csv for configuration file templates.
• All public functions use NumPy-style docstrings; see module docstrings and examples for API details.

System Requirements

• Python 3.11+
• See requirements.txt for dependencies.

License

MIT