Add Lets-Plot column to the plotting comparison - #24
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Lets-Plot renders to PNG through ggsave; an IPython image/png formatter registered on PlotSpec keeps the example cells free of export boilerplate. It is imported as lp so its ggplot2-style names do not shadow plotnine's.
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TL;DR
Lets-Plot (JetBrains' ggplot2 port) joins the comparison as a new column: 13 example cells, one per plot on the site, bringing the total to 79. Its ggplot2-faithful API slots in next to plotnine; three cells differ from the R reference only in facet syntax (Lets-Plot has no formula interface).
Files to review (7, +339 / -15):
Examples.ipynb(start here)package:lets-plot, plus setup-cell changes below.render.pylets-plotcolumn ordered after plotnine so the grammar-of-graphics libraries sit together.tests/test_plots.pylets-plotadded to all 13 plot entries.INTRO.md,CLAUDE.mdReviewer notes
image/pngforPlotSpecviaggsaveto a temp dir, so every barelp.ggplot(...)expression emits a PNG and the code shown on the site stays pure plotting code. Raster export is built into lets-plot 4.11+; no extra package.lp.-prefixed because the notebook doesfrom plotnine import *, which already ownsggplot/aes/geom_*. The bar-counts cell carries a site-visible note explaining this.geom_smoothgives the true 95% CI band and a smooth loess (plotnine's loess note doesn't apply), andxlimworks on the KDE plot (plotnine's doesn't). Facets usefacets=/x=/y=kwargs instead of R formulas.Verified end to end: notebook executes clean, 79/79 example cells emit PNGs, render.py succeeds, pytest passes.