ericfourrier / auto-clean

Provide helpers in python (pandas and numpy) to perform automated cleaning and pre-processing steps.

auto-clean

Provide helpers in python (pandas, numpy, scipy) to perform automated cleaning and pre-processing steps.

CONTENTS OF THIS FILE

• Introduction
• Installation
• Version
• Usage
• Thanks

INTRODUCTION

This package provide different classes for data cleaning

In this module you have :

• An DataExploration class with methods to count missing values, detect constant col the DataExploration.structure provide a nice exploration summary.

• An OutliersDetection class which is a simple class designed to detect 1d outliers

• An NaImputer class which is a simple class designed to focus on missing values exploration and comprehension (Rubbin theory MCAR/MAR/MNAR)

• A examples folder to find notebooks illustrating the package

• A test.py file containing tests (you can run the test with $python -m unittest -v test)

INSTALLATION

Installation via pip is not available now (coming soon)

1. Clone the project on your local computer.

2. Run the following command

   • $ python setup.py install

VERSION

The current version is 0.1 (early release version). The module will be improved over time.

USAGE

To complete

Contributing to auto-clean

Anybody is welcome to do pull-request and check the existing issues for bugs or enhancements to work on. If you have an idea for an extension to auto-clean, create a new issue so we can discuss it.

THANKS

Thanks to all the creator and contributors of the package we are using.