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Looks great, minor API usability note: I don't know if there is an official convention but when naming an object that has the potential of overriding a builtin, rather than prepending with an underscore, e.g. `_with`, one does append to it: `with_`. The former is used and recognised for unused variables.
> _with is a curve option that indicates how this dataset should be plotted. It’s _with and not with because the latter is a built-in keyword in Python. [1]
- [1] https://github.com/dkogan/gnuplotlib/blob/master/guide/guide...
Vega-Altair is pretty great as well. It uses a grammar of graphics that’s slightly different from ggplot, but has most of the same advantages.
https://altair-viz.github.io/
Having just compared this to a Common Lisp library that does the same thing [0], given Python's prominance in numerical computing, Im actually surprised that the latter is better.
[0] http://guicho271828.github.io/eazy-gnuplot/
I also have difficulties with Gnuplot and Matplotlib. I like Vega that allows me to create visualisations in a declarative way. If I really need something special I go with d3.js, which had a really steep learning curve but with ChatGPT it should have become easier for beginners.
[1] https://vega.github.io/vega-lite/