https://github.com/alan-turing-institute/xpandas

Universal 1d/2d data containers with Transformers functionality for data analysis.
https://github.com/alan-turing-institute/xpandas

pandas python python3 sklearn transformers

Last synced: about 2 months ago
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Universal 1d/2d data containers with Transformers functionality for data analysis.

• Host: GitHub
• URL: https://github.com/alan-turing-institute/xpandas
• Owner: alan-turing-institute
• License: other
• Created: 2017-08-22T15:52:51.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2022-06-21T21:27:45.000Z (almost 2 years ago)
• Last Synced: 2024-03-20T20:58:23.555Z (3 months ago)
• Topics: pandas, python, python3, sklearn, transformers
• Language: Python
• Homepage: https://alan-turing-institute.github.io/xpandas/
• Size: 987 KB
• Stars: 26
• Watchers: 9
• Forks: 4
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.rst
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt
  • Code of conduct: CODE_OF_CONDUCT.md

Lists

• awesome-python-data-science - xpandas - Universal 1d/2d data containers with Transformers .functionality for data analysis by [The Alan Turing Institute](https://www.turing.ac.uk/). (Data Manipulation / Data Frames)
• awesome_time_series_in_python - xpandas - heterogeneous tabular data of any type, including time series, and encapsulates feature extraction and transformation modelling in an sklearn-compatible transformer interface, work in progress. | (Examples or singular models)
• awesome_time_series_in_python - xpandas - heterogeneous tabular data of any type, including time series, and encapsulates feature extraction and transformation modelling in an sklearn-compatible transformer interface, work in progress. | (Examples or singular models)
• awesome-python-data-science - xpandas - Universal 1d/2d data containers with Transformers .functionality for data analysis by [The Alan Turing Institute](https://www.turing.ac.uk/). (Data Manipulation / Data Frames)

README

        
![Logo](/examples/imgs/Logo.png)

[![Build Status](https://travis-ci.org/alan-turing-institute/xpandas.svg?branch=master)](https://travis-ci.org/alan-turing-institute/xpandas)

[![PyPI version](https://badge.fury.io/py/XPandas.svg)](https://badge.fury.io/py/XPandas)

**XPandas** (extended [`Pandas`](https://pandas.pydata.org/)) implements 1D and 2D data containers for storing type-heterogeneous tabular data of any type, 

and encapsulates feature extraction and transformation modelling in an sklearn-compatible transformer interface.

## Quickstart

Install the latest version

    $ pip install xpandas

    

and run the example jupyter notebook

    

    $ jupyter examples/ExampleUsage.ipynb

## Documentation

The full documentation is available at [https://alan-turing-institute.github.io/xpandas/](https://alan-turing-institute.github.io/xpandas/).

## Acknowledgements

- **Bernd Bischl (@berndbischl)**, who mentioned the idea of a general data container with transformers attached to columns in personal discussion with Franz Kiraly during a London visit in 2016.

- **Franz Kiraly (@fkiraly)**, who initiated and funded the project up to release, and who substantially contributed to the API design.

- **Haoran Xue (@HaoranXue)**, who, under the supervision of Franz Kiraly, earlier completed a thesis for a degree at UCL on the topic, and who wrote a similar package as part of it. No code was re-used in the creation of the XPandas package.

List of [developers and contributors](AUTHORS.rst)