Tweezer

teeny tiny tools for data processing 🔍👾

twzr is a handful of microfunctions to help make pandas data transformation workflows faster. For example, Why type df.filter(regex=re.compile('column',re.IGNORECASE)) when you can type f(df,'column')?

Ideally, analytical workflows will involve automated transformation pipelines and no-code tools for analysts. twzr is a practical set of functions for when that is not yet the case. And because laziness is a virtue in programming. This micro-project was also conducted to get initial experience with Python packacing on PyPi.

Commands

Run help() for a current list of functions in twzr.

Installation

Run pip install twzr on the command line.

Forthcoming

• Documentation
  • Functions described in this README file
  • Examples included in this README file