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This PR is only a proof of concept at this stage - it demonstrates using pandas inside pyodide based notebooks on grapher pages - i.e. python and the pandas/numpy stack run entirely in the browser, without any server component. Data is fetched via our file based API just like grapher (the data is fetched again but should be fast due to client side caching).
To play with it, open the staging server at a /grapher/ url and scroll to the bottom.
There are a lot of things that are not ideal about this proof of concept, e.g.: