Visualization ------------- Visualization tools are available as an extra dependency, optionally installed from the root of the `repository `_ using the commands. .. code-block:: console pip install .[plotly] or .. code-block:: console pip install .[matplotlib] Usage of these libraries in the package is exemplified in :doc:`example1`. It is also possible to run `Jupyterlab `_ in an interactive `Docker `_ container and access the visualization tools through your browser: .. code-block:: console docker run --rm -it -p 8888:8888 -v $PWD:/opt davidtourigny/dfba:latest-interactive bash Once the image is running, start `Jupyterlab `_ using the command: .. code-block:: console jupyter lab --ip 0.0.0.0 --no-browser --allow-root This will display a URL that should be used to open the notebook in your browser. From there you will be able to interact with the examples and build your own DFBA model.