https://github.com/ornl/ipyanchorviz

https://github.com/ornl/ipyanchorviz

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/ornl/ipyanchorviz
• Owner: ORNL
• License: bsd-3-clause
• Created: 2022-08-16T14:57:44.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-09-04T14:58:18.000Z (9 months ago)
• Last Synced: 2025-03-15T07:39:05.426Z (3 months ago)
• Language: JavaScript
• Size: 232 KB
• Stars: 4
• Watchers: 2
• Forks: 0
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

        
# IPyAnchorViz

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

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

This is an ipywidgets implementation of the AnchorViz visualization, see _Chen, Nan-Chen, et al. "[AnchorViz: Facilitating classifier error discovery through interactive semantic data exploration](https://dl.acm.org/doi/abs/10.1145/3172944.3172950)"

## Installation

To install, use pip:

    $ pip install ipyanchorviz

## Development

For a development installation of the Python library:

    $ git clone https://github.com/ORNL/ipyanchorviz.git

    $ cd ipyanchorviz

    $ pip install -e .

After pip, you need to install node (requires [Node.js](https://nodejs.org) and [Yarn version 1](https://classic.yarnpkg.com/)). This will need to be rebuilt when you make a JS change.hen you need to rebuild the JS when you make a code change. The yarn command is run first to install additional needed dependencies.

    $ cd js

    $ yarn

    $ yarn run build

Then to have have the extension work in Jupyter notebook:

    $ jupyter nbextension install --py --symlink --overwrite --sys-prefix ipyanchorviz

    $ jupyter nbextension enable --py --sys-prefix ipyanchorviz

When actively developing your extension for JupyterLab, run the command:

    $ jupyter labextension develop --overwrite ipyanchorviz

You then need to refresh the JupyterLab page when your javascript changes.