Metadata-Version: 2.3
Name: d3vis_ipynb
Version: 0.3.2
Summary: A Custom Jupyter Widget Library with visualizations created with D3.js.
Project-URL: Homepage, https://github.com/H-IAAC/d3vis_ipynb
Author-email: Daniel Adam Miranda <daniel.miranda@eldorado.org.br>
License: Copyright (c) 2024 Daniel Adam Miranda
        All rights reserved.
        
        Redistribution and use in source and binary forms, with or without
        modification, are permitted provided that the following conditions are met:
        
        1. Redistributions of source code must retain the above copyright notice, this
           list of conditions and the following disclaimer.
        
        2. Redistributions in binary form must reproduce the above copyright notice,
           this list of conditions and the following disclaimer in the documentation
           and/or other materials provided with the distribution.
        
        3. Neither the name of the copyright holder nor the names of its
           contributors may be used to endorse or promote products derived from
           this software without specific prior written permission.
        
        THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
        AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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License-File: LICENSE.txt
Keywords: IPython,Jupyter,Widgets
Classifier: Framework :: Jupyter
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.9
Requires-Dist: anywidget>=0.9.6
Requires-Dist: ipywidgets==7.7.1
Requires-Dist: simplejson>=3.19.0
Provides-Extra: docs
Requires-Dist: jupyter-sphinx; extra == 'docs'
Requires-Dist: nbsphinx; extra == 'docs'
Requires-Dist: nbsphinx-link; extra == 'docs'
Requires-Dist: pypandoc; extra == 'docs'
Requires-Dist: pytest-check-links; extra == 'docs'
Requires-Dist: recommonmark; extra == 'docs'
Requires-Dist: sphinx-rtd-theme; extra == 'docs'
Requires-Dist: sphinx>=1.5; extra == 'docs'
Provides-Extra: examples
Provides-Extra: test
Requires-Dist: nbval; extra == 'test'
Requires-Dist: pytest-cov; extra == 'test'
Requires-Dist: pytest>=6.0; extra == 'test'
Description-Content-Type: text/markdown

# d3vis_ipynb

A Custom Jupyter Widget Library with visualizations created with D3.js.

## Installation

To install use pip:

    $ pip install d3vis-ipynb

For a development installation (requires [Node.js](https://nodejs.org) and [Yarn version 1](https://classic.yarnpkg.com/)),

    $ git clone https://github.com/H-IAAC/d3vis_ipynb.git
    $ cd d3vis_ipynb
    $ pip install -e .
    $ jupyter nbextension install --py --symlink --overwrite --sys-prefix d3vis_ipynb
    $ jupyter nbextension enable --py --sys-prefix d3vis_ipynb

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

    $ jupyter labextension develop --overwrite .

Then you need to rebuild the JS when you make a code change:

    $ cd js
    $ yarn run build

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