TL;DR

The klib package provides a number of very easily applicable functions with sensible default values that can be used on virtually any DataFrame to assess data quality, gain insight, perform cleaning operations and visualizations which results in a much lighter and more convenient to work with Pandas DataFrame.

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Over the past couple of months I’ve implemented a range of functions which I frequently use for virtually any data analysis and preprocessing task, irrespective of the dataset or ultimate goal.

These functions require nothing but a Pandas DataFrame of any size and any datatypes and can be accessed through simple one line calls to gain insight into your data, clean up your DataFrames and visualize relationships between features. It is up to you if you stick to sensible, yet sometimes conservative, default parameters or customize the experience by adjusting them according to your needs.

#python #pandas