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If you make a change to the python code then you need to restart the notebook kernel to have it take effect. Once the webpack rebuild finishes refresh the JupyterLab page to have your changes take effect. To continuously monitor the project for changes and automatically trigger a rebuild, start watching the ipycytoscape code: npm run watchĪnd in a separate terminal start JupyterLab normally: jupyter lab You might also need another flag instead of -sys-prefix, but we won't cover the meaning The install command every time that you rebuild your extension. Note that the -symlink flag doesn't work on Windows, so you will here have to run Jupyter nbextension enable -sys-prefix -py ipycytoscape Or for classic notebook, you can run: jupyter nbextension install -sys-prefix -symlink -overwrite -py ipycytoscape

This command will also install the test suite and the docs locally: pip install jupyter_packaging=0.7.9 This will run npm install and npm run build. While not required, we recommend creating a conda environment to work in: conda create -n ipycytoscape -c conda-forge jupyterlab nodejs>13 networkx You may also need to manually enable the nbextension: jupyter nbextension enable -py ipycytoscape # if you have previously installed the manager you still to run jupyter lab build You can do this like so: # installing nodejs If you are using JupyterLab 1.x or 2.x then you will also need to install nodejs and the jupyterlab-manager extension. Or conda-forge: mamba install py2neo neotime

You can install the neo4j dependencies for ipycytoscape with pip: pip install -e "." You can install the Pandas dependencies for ipycytoscape with pip: pip install pandas With conda: conda install -c conda-forge ipycytoscape

With mamba: mamba install -c conda-forge ipycytoscape Conversion from Pandas DataFrame see example.Conversion from NetworkX see example1, example2.Try it out using binder: or install and try out the examples. A widget enabling interactive graph visualization with cytoscape.js in JupyterLab and the Jupyter notebook.