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.
Run help() for a current list of functions in twzr.
Run pip install twzr on the command line.
- Documentation
- Functions described in this README file
- Examples included in this README file