Version 1.1.0 | Stable Release

The module pandas-wizard was developed as an initiative to provide additional functionalities on top of pandas. I've spent years in developing projects involving the use of pandas and have always used snippets or redundant GitHub Gists to keep track of additional functionalities that can be used alongside and later, decided to compile some of the code snippets directly into one file and publish the same as a package in PyPI/pandas-wizard.

The consolidated functionalities of the modules are as follows:

• Statistical Functions to use alongside pd.groupby(...).agg({}) as below:
  • 🎉 pandaswizard.quantile: A simple function to calculate the quantile of a grouped data series, and
  • 🎉 pandaswizard.percentile: A simple function to calculate the percentile of a grouped data series.
• The wrappers utility that prints useful information like memory usage and time taken that can be useful in function development and optimization,
• The window module which acts as a wrapper to the pd.DataFrame(...).rolling(...) method to apply additional user-defined functions.
  • Additionally, the submodule pandas-wizard/functions captures basic functions like weightedMA that can be applied directly in a rolling window without explicitly defining a custom function.

v1.1.0a0

Moving from development release to alpha testing release, the version brings the additional new features and/or enhancements for
the module:

• 🎉 Added pdw.wrappers module housing useful decorators,
• 🛠️ (#7) For legacy/np < 1.22 try to return the aggregated value using "interpolation" attribute.
• 🎉📃 Basic code documentation is now available, hosted using readthedocs/pandas-wizard

v1.1.0.dev0

Major enhancement of the preview built, also created an favicon and logo for the project. The logo is modified from the original
pandas logo.

• ⚙️ Added two new functions __set_method__() and __calculate_quantile__() to reduce code duplicacy,
• ✨ (#3) Added the ability to choose from either pandas or numpy to calculate grouped result:
  • ✨ allows the user to choose any of the method to calculate based on numpy documentations,
  • 💣 numpy version requirement is numpy >= 1.22 due to argument change interpolation to method more details.

v1.0.1.dev0

The first dev or preview-build for v1.0.0 focuses on function development and objective documentation. The version
focuses on providing basic features like:

• 🎉 pandaswizard.quantile: A simple function to calculate quantile of a grouped data series,
• 🎉 pandaswizard.percentile: A simple function to calculate percentile of a grouped data series.