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Contents Algorithms: Modularity and Clustering Publications license - long_description Indices and tables diff --git a/docs/source/widget.rst b/docs/source/widget.rst index 8776024d..5805827a 100644 --- a/docs/source/widget.rst +++ b/docs/source/widget.rst @@ -20,11 +20,14 @@ The HypernetxWidget is open source and available on `GitHub `_ It is also `published on PyPi `_ +**The HyperNetX widget is currently in beta with limitations on the Jupyter environment in which it may be used. +It is being actively worked on. Look for improvements and an expanded list of usable environments in a future release.** + Installation ------------ -HyperNetXWidget is currently in beta and will only work on Jupyter Notebook 6.5.x. It is not supported on Jupyter Lab; -support for Jupyter Lab are still in planning. +HyperNetXWidget is currently in beta and will only work on Jupyter Notebook 6.5.x. It is not supported on Jupyter Lab, +but support for Jupyter Lab is in planning. In addition, HyperNetXWidget must be installed using the `Anaconda platform `_ so that the widget can render on Jupyter notebook. It is highly recommended to use the base environment provided by Anaconda because @@ -73,14 +76,25 @@ Open a new shell and run the following commands:: jupyter-notebook -Gotchas -^^^^^^^ +Conda Environment +^^^^^^^^^^^^^^^^^ If the notebook runs into a `ModuleNotFoundError` for the HyperNetX or HyperNetXWidget packages, ensure that you set your kernel to the conda base environment (i.e. `base`). This will ensure that your notebook has the right environment -to run the widget. For more information on setting the environment in Jupyter notebook, see -`How to add your Conda environment to your jupyter notebook in just 4 steps. -`_ +to run the widget. + +On the notebook, click the "New" drop-down button and select "base" as the environment for your notebook. See the +following screenshot as an example: + +.. image:: images/notebook_ipykernel.png + :width: 300px + :align: center + + +| +| For more information on setting the environment in Jupyter notebook, see + `How to add your Conda environment to your jupyter notebook in just 4 steps. + `_ Using the Tool