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Library for visualizing D3.js inside Jupyter.

Project description


Library for visualizing D3.js inside Jupyter.


To install use pip:

$ pip install ipyd3

For a development installation (requires Node.js and Yarn version 1),

$ git clone
$ cd ipyd3
$ pip install -e .
$ jupyter nbextension install --py --symlink --overwrite --sys-prefix ipyd3
$ jupyter nbextension enable --py --sys-prefix ipyd3

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

$ jupyter labextension develop --overwrite ipyd3

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.

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ipyd3-3.0.1.tar.gz (4.8 MB view hashes)

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ipyd3-3.0.1-py3-none-any.whl (6.2 MB view hashes)

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