Skip to main content

Python tools for bipartite labor data

Project description

BipartitePandas

https://badge.fury.io/py/bipartitepandas.svg https://anaconda.org/tlamadon/bipartitepandas/badges/version.svg https://anaconda.org/tlamadon/pytwoway/badges/platforms.svg https://travis-ci.com/tlamadon/bipartitepandas.svg?branch=master https://codecov.io/gh/tlamadon/bipartitepandas/branch/master/graph/badge.svg?token=NqS9Dwufxv https://img.shields.io/badge/doc-latest-blue https://badgen.net/badge//gh/bipartitepandas?icon=github

BipartitePandas is a Python package for handling bipartite labor data.

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.

The package provides a Python interface. Installation is handled by pip or Conda. The source of the package is available on GitHub at BipartitePandas. The online documentation is hosted here.

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bipartitepandas-1.0.25.tar.gz (64.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

bipartitepandas-1.0.25-py3-none-any.whl (72.7 kB view details)

Uploaded Python 3

File details

Details for the file bipartitepandas-1.0.25.tar.gz.

File metadata

  • Download URL: bipartitepandas-1.0.25.tar.gz
  • Upload date:
  • Size: 64.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.11

File hashes

Hashes for bipartitepandas-1.0.25.tar.gz
Algorithm Hash digest
SHA256 b7362474693e2c72972e0c7c6b31f9922f7b71ff2798ae92c4825597dc2690c9
MD5 c0cf057bb5a1c883889eeb47ce5097be
BLAKE2b-256 029df3cd664827cce7a4a463e897195a1184a749c2ac4c70a41c9b88c6554b36

See more details on using hashes here.

File details

Details for the file bipartitepandas-1.0.25-py3-none-any.whl.

File metadata

File hashes

Hashes for bipartitepandas-1.0.25-py3-none-any.whl
Algorithm Hash digest
SHA256 d6292f52b465a51bc034cfc7cd21d366f1fe5572480f04337ae43b81ae673154
MD5 2df4846320392708bd523f06469bd6cd
BLAKE2b-256 502d32a62a85d537e08196f4bf973caf4e388f31c0db45934549f285c19182b0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page