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Right now Plotly Express hews pretty closely to the concept of "no computation in Python" modulo stuff like sunburst path
and scatter trendlines
... notably histogram
, box
and density_heatmap
embed the entire dataset into the figure and let the front end handle the aggregation. This is not particularly scalable, and generally means we can't leverage the excellent Python-side tools for big data (e.g. Vaex plotly/plotly_express#139 or RAPIDS).
We should come up with some consistent way of using PX for big-data aggregations. Datashader would be a natural backend for density_heatmap
for example.
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