Metadata-Version: 2.1
Name: bipartitepandas
Version: 1.1.2
Summary: Python tools for bipartite labor data
Home-page: https://github.com/tlamadon/bipartitepandas/
Author: Thibaut Lamadon
Author-email: thibaut.lamadon@gmail.com
Project-URL: Documentation, https://tlamadon.github.io/bipartitepandas/
Project-URL: GitHub, https://github.com/tlamadon/bipartitepandas/
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
License-File: LICENSE

BipartitePandas
---------------

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    :target: https://badge.fury.io/py/bipartitepandas

.. image:: https://anaconda.org/tlamadon/bipartitepandas/badges/version.svg
    :target: https://anaconda.org/tlamadon/bipartitepandas

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    :target: https://anaconda.org/tlamadon/pytwoway

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    :target: https://travis-ci.com/tlamadon/bipartitepandas

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    :target: https://codecov.io/gh/tlamadon/bipartitepandas

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    :target: https://tlamadon.github.io/bipartitepandas/

.. image:: https://badgen.net/badge//gh/bipartitepandas?icon=github
    :target: https://github.com/tlamadon/bipartitepandas

`BipartitePandas` is a Python package for handling bipartite labor data.

.. |binder| image:: https://mybinder.org/badge_logo.svg 
    :target: https://mybinder.org/v2/gh/tlamadon/bipartitepandas/HEAD?filepath=docs%2Fsource%2Fnotebooks%2Fsimple_example.ipynb

If you want to give it a try, you can start the example notebook here: |binder|. This starts a fully interactive notebook with a simple example that generates data and demonstrates some useful functions.

BipartitePandas is used in `PyTwoWay <https://github.com/tlamadon/pytwoway/>`_.

The package provides a Python interface. Installation is handled by `pip` or `Conda`. The source of the package is available on GitHub at `BipartitePandas <https://github.com/tlamadon/bipartitepandas>`_. The online documentation is hosted `here <https://tlamadon.github.io/bipartitepandas/>`_.

Quick Start
-----------

To install via pip, from the command line run::

    pip install bipartitepandas

To install via Conda, from the command line run::

    conda install -c tlamadon bipartitepandas

Authors
-------

Thibaut Lamadon,
Assistant Professor in Economics, University of Chicago,
lamadon@uchicago.edu


Adam A. Oppenheimer,
Research Professional, University of Chicago,
oppenheimer@uchicago.edu
