Introduction

Formulaic is a high-performance implementation of Wilkinson formulas for Python, which are very useful for transforming dataframes into a form suitable for ingestion into various modelling frameworks (especially linear regression).

• Source Code: https://github.com/matthewwardrop/formulaic
• Issue tracker: https://github.com/matthewwardrop/formulaic/issues

It provides:

• high-performance dataframe to model-matrix conversions.
• support for reusing the encoding choices made during conversion of one data-set on other datasets.
• extensible formula parsing.
• extensible data input/output plugins, with implementations for:
• input:
  • pandas.DataFrame
  • pyarrow.Table
• output:
  • pandas.DataFrame
  • numpy.ndarray
  • scipy.sparse.CSCMatrix
• support for symbolic differentiation of formulas (and hence model matrices).

with more to come!