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IPyAnchorViz

Code style: black PyPI version

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"

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 and Yarn version 1). 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.

Metadata

Release files for ipyanchorviz 0.3.0

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Source distribution for ipyanchorviz 0.3.0
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Built distribution (wheel)

Table of built distributions (wheels) for ipyanchorviz 0.3.0
File Interpreter ABI Platform Actions
ipyanchorviz-0.3.0-py3-none-any.whl Python 3 none any Details for ipyanchorviz-0.3.0-py3-none-any.whl

Total release size: 19.4 MB

Release files / ipyanchorviz-0.3.0.tar.gz

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Uploaded via twine/5.1.1 CPython/3.12.5

Security for ipyanchorviz 0.3.0

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