I am trying with any possible package to plot a classic correlation plot (scatterplots for each variable vs each other and density histogram on the diagonal in the middle). Sometime they are cold correlogram or pairplots. I come from R and Python and it is dead easy with each language to get a plot…

[image] enzomar: Ideally I would just like to specify say bins=10 for all variables, like Plots & Plotly allow me to do (and of course if at some point I’ll need to study more in detail some anomaly, the possibility to create more complex custom binnings is great!). Ah okay understood @enzoma…

Thanks @jules for the link. I’ll try it and report.

@joa-quim I got the same result, which is good. Oddly I got in on a saved image, while the same code for IRIS was reproducing inline in my jupyterlab notebook. Is there a reason why the same code renders in a saved image in one case and inline in the other? Moreover, I use a Matrix as this is wha…

A quick before Christmas dinner answer. Need to commit further changes to deal with names easier. Try GMT.df2ds(df) instead of Matrix

An update: GOOD: I built a good correlogram with Plots and I’m quite satisfied with it: it is very close to optimal. BAD: Again (and perhaps not surprisingly as it was happening with StatsPlots) crashes with more than 11 variables / columns. I just reported it on Github here: [BUG] Plots crashes…

[image] enzomar: BAD: Again (and perhaps not surprisingly as it was happening with StatsPlots) crashes with more than 11 variables / columns. In case it helps, for a large number of subplots, the plotly() backend is best. See example here .

The thread you got your non-working Makie version from had other, newer examples (plus the PairPlots.jl link that I posted here as well) but anyway, here’s the example from above modified a bit for current Makie. This doesn’t do any grouping, though, which is why something like PairPlots saves you w…

PairPlot.jl cited several times above seems very capable indeed. I’d recommend to look at its announcement thread to get a better idea of its potential [image] [ANN] A Package for Generating Corner Plots (PairPlots.jl) Package Announcements A Package for Genera…

PairPlots! I eventually got around to text PairPlots. GOOD: It doesn’t crash with the full 14 columns of the Boston housing dataset! Prints the column names on the edges: nice! Plots Truth lines out-of-the-box NOT so GOOD: I couldn’t find a way to get out-of-the-box a trendline (a classing LR…

Thanks @jules this looks great! I think I should be able to add column names programmatically. The only issue I can see is that I couldn’t find in Makie a way to add a trend line out-of-the-box (perhaps not surprisingly the same occurs with PairPlots).

@rafael.guerra Thanks for stimulating me to use Plotly! GOOD: It worked fine and it is very fast. Best result so far. NOT so GOOD: this is a general but minor problem I find with Plotly: it seems the relative labextension is out of sync with jupyterlab, which at times gives issues. I used vscode…

Failing to plot correlograms in Julia: Makie vs. AoG vs StatsPlots

New to Julia

ederag December 27, 2023, 10:47am 18

PairPlot.jl cited several times above seems very capable indeed. I’d recommend to look at its announcement thread to get a better idea of its potential

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Failing to plot correlograms in Julia: Makie vs. AoG vs StatsPlots

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