PyWrangle

PyWrangle is an open-source Python library for data wrangling. Wikipedia defines data wrangling as follows:

Data Wrangling

is the process of transforming and mapping data from one “raw” data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics

PyWrangle helps:

• Clean strings

• Track DataFrame changes

• Identify & correct string data entry errors

PyWrangle is available on PyPI

Table of Contents

Contents:

• pywrangle
  • pywrangle package
    • Subpackages
      • DataFrame Changes
      • Data Errors
      • String Cleaning
    • Module contents

Indices and tables

• Index

• Module Index

Install & Requirements

Install

PyWrangle can be installed with pip.

python -m pip install pywrangle

Requirements

• Python >= 3.8

• numpy >= 1.14.4

• pandas >= 1.0.3

• fuzzywuzzy >= 0.18.0

• python-levenshtein >= 0.12.0

• metaphone >= 0.6

Convention

Per convention with Python libraries for data science, import pywrangle as follows:

>>> import pywrangle as pw

GitHub

Please feel free to contribute to PyWrangle! GitHub

Authors

Jai Miles

Version

0.3

Dedication

To everyone who just wanted clean data ~