pangoro 0.32

pangoro python package

Project description

Pangoro: powerful Python data cleaning toolkit

What is it?

Pangoro is a Python package that provides fast and flexible methods for cleaning numerical and categorical features in a dataframe. It aims to be a fundamental tool for doing data wrangling in Python.

Main Features:

• For numerical features, pangoro provides the following tools:
  • Handle NA, drop, replace with mean, replace with mode, lamda function, replace with a number, replace with min replace with max, Use KNN classifications. Keep
  • Handle outliers, Keep, Percentile
  • Scaling, standard or min max
  • Convert to nuemerical
  • Scan and apply to all numerical or supply a list of features
• For categorical nominal features, pangoro provides the following tools:
  • Handle NA, Drop, replace with mode, use KNN classification for imputation.
  • Replace with sequence numbers based on supplied dictionary or based on alphabetical order.
  • Scan and apply to all Categorical or supply a list of features

Where to get it:

The source code is currently hosted on GitHub
Binary installers for the latest released version are available at the Python Package Index PyPi

pip install pangoro

License

MIT

Background

Work on pangoro started in 2022 by a group of IE University students and has been under active development since then.

Contributing to pangoro

All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome. Please contact us on GitHub