Skip to main content

Spatial Inequality Analysis in PySAL

tag Continuous Integration codecov Documentation

Methods for measuring spatial inequality.

Installation

Install inequality from PyPI by running:

$ pip install inequality

Install inequality from conda-forge by running:

$ conda install -c conda-forge inequality

Requirements

  • libpysal
  • matplotlib
  • numpy
  • scipy

Contribute

PySAL-inequality is under active development and contributors are welcome.

Please see the Contributing instructions.

If you have any suggestion, feature request, or bug report, please open a new issue on GitHub. To submit patches, please follow the PySAL development guidelines and open a pull request. Once your changes get merged, you’ll automatically be added to the Contributors List.

Support

If you are having issues, please talk to us in PySAL's Discord channel, create an issue, or start a discussion.

License

The project is licensed under the BSD license.

Funding

Award #1421935 New Approaches to Spatial Distribution Dynamics

Release files for inequality 1.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for inequality 1.2.0
File Size Uploaded
inequality-1.2.0.tar.gz 2.7 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for inequality 1.2.0
File Interpreter ABI Platform
inequality-1.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 2.7 MB

Release files / inequality-1.2.0.tar.gz

Download URL inequality-1.2.0.tar.gz
Size 2.7 MB
Tags Source
SHA-256 checksum
How to use checksums
acdfb22513cf278ee273942d71e0a6a1ba40e1da4a9e0a657cb1a032df3eb646
BLAKE2b-256 checksum
How to use checksums
ba5face3f7d8141c1268fddf39de8351b49fa1313e4afb01281274e5ffa74504
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 14, 2026.

Transparency log

Release files / inequality-1.2.0-py3-none-any.whl

Download URL inequality-1.2.0-py3-none-any.whl
Size 31.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
a94dde4c80fbf7496630eabb4ec9f03be960178368999b7de65e1fd4762940b2
BLAKE2b-256 checksum
How to use checksums
19d52099e85cca2d5030f3a4ddbc5404fc1067e8c2f98bdc0a85cb9d31f25794
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 14, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

1.2.0 This release

2 release files

1.1.2

2 release files

1.1.1

2 release files

1.1.0

2 release files

1.0.1

2 release files

1.0.0

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page