This gallery contains visualization examples that are solely implemented in the Jupyter notebook format (i.e. no .py script). Most, if not all, of these notebooks are interactive (i.e. the rendered images can be panned, zoomed, etc). However, these notebooks are currently pre-rendered only, i.e. the gallery only shows static renderings of the notebooks (Notebooks won’t actually show any greater resolution when the user zooms a plot; the user can zoom in all they like, but the data is never re-rendered). To fully experience the power of interactive exploration within a notebook, it will need to be downloaded and executed locally as described below.
If the reader would like to execute these notebooks in their local setup, they will need to have a conda environment that includes a Jupyter technology of preference (e.g. Jupyter Lab, etc.). For further details about how to create such an environment, please refer to the Installation document of this repo.
In addition to the above environment, each notebook example lists its own dependencies that should be installed as well.