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This seems quite similar to plotnine [0], which also provides a grammar of graphics interface for Python. That said, I love ggplot and I can't wait to use this in my research! I hope we can port/re-implement ggthemes, scientificplots [1], and other ggplot libraries for lets-plot.
0: https://plotnine.readthedocs.io/en/stable/
1: https://github.com/garrettj403/SciencePlots
This seems quite similar to plotnine [0], which also provides a grammar of graphics interface for Python. That said, I love ggplot and I can't wait to use this in my research! I hope we can port/re-implement ggthemes, scientificplots [1], and other ggplot libraries for lets-plot.
0: https://plotnine.readthedocs.io/en/stable/
1: https://github.com/garrettj403/SciencePlots
This one does! https://github.com/wwwtyro/candygraph
Scroll down into the examples for some plots with lots of points: https://wwwtyro.github.io/candygraph/examples/dist/
Thats really cool! Does it reimplement ggplot2 in python? pygg is a lightweight library that transpiles ggplot syntax in python into R ggplot2 code. Downside is that it is not interactive and executes in R; upside is it run hadley’s ggplot inplementation in R.
https://github.com/sirrice/pygg
ggplot2 is great for exploring data. Once it was a unique selling point for R.
For Dashboards I prefer Apache ECharts:
https://github.com/ecomfe/awesome-echarts
That's odd. Are you sure this is not related to Jupyter? I use plotly.js via a Rust wrapper (https://github.com/igiagkiozis/plotly) and the performance seems ok when generating a static, interactive html. The wrapper language itself should be irrelevant here. Is it the same if you generate a static html-file?
While I can't speak for millions of data points, generating a gyroscope plot with x, y, z, where each gyro axis is 400k+ samples is fine performance wise. This is generating a static, interactive html. Zooming etc is fine on my M1 MacbookPro 13" - delay when zooming in this specific case is maybe 0.5secs. The html-file is 60mb+.
The Apache Beam SDK for Python is another example. It has its own pipe expressions (|, >>, |>, etc.).
[1] https://github.com/JulienPalard/Pipe
If you use Julia, Makie crushes this use case and comes with great Python interop.
https://github.com/holoviz/datashader is a good one in the Python ecosystem.