Metadata-Version: 2.1
Name: taxonomy_utils
Version: 0.1.0
Summary: Python package to handle taxonomy categories, subcategories and labeling. Useful to work with hf datasets.
Home-page: https://gitlab.expert.ai/gblanco/taxonomy_utils
Author: Guillermo E. Blanco
Author-email: gblanco@expert.ai
License: MIT license
Keywords: taxonomy_utils
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
License-File: LICENSE
License-File: AUTHORS.rst

==============
taxonomy_utils
==============


.. image:: https://img.shields.io/pypi/v/taxonomy_utils.svg
        :target: https://pypi.python.org/pypi/taxonomy_utils

.. image:: https://img.shields.io/travis/geblanco/taxonomy_utils.svg
        :target: https://travis-ci.com/geblanco/taxonomy_utils

.. image:: https://readthedocs.org/projects/taxonomy-utils/badge/?version=latest
        :target: https://taxonomy-utils.readthedocs.io/en/latest/?version=latest
        :alt: Documentation Status




Python package to to work with taxonomies:

* Create taxonomies based on a dataset
* Handle id to category and subcategory label and viceversa
* Get all subcategories pertaining a given category and viceversa
* Plays well with `huggingface dataset <https://huggingface.co/docs/datasets/>`_

By now, only second level depth taxonomies allowed 


* Free software: MIT license
* Documentation: https://taxonomy-utils.readthedocs.io.


Features
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* TODO

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


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History
=======

0.0.1 (2022-1-18)
------------------

* First release on PyPI.


