What Category Theory Teaches Us About DataFrames
Summary
The article explores applying Petersohn's dataframe algebra and category theory to understand dataframe operations, introducing three core patterns—Delta (schema restructuring), Sigma (merging), and Pi (pairing). It discusses adjoint triples that guarantee correct composition and offers implications for API design, optimization, and future work in dataframe tooling.