Autocorrelation function within plotnine

Hi has2k1. I really love using plotnine as it makes doing analysis on my data really easy. I truly appreciate your work.

Is there a way to do be able to add an autocorrelation function into the package if isn't already? I don't really code in Python but if it is relatively simple to do, I'm willing to open a PR. I just would need a little guidance on the proper format of how to add a new layer/facet (whatever the appropriate term is) for ggplot.

As for implementation, I am aware that the statsmodel package as an autocorrelation function. The plots can be generated by statsmodels.graphics import tsaplots.plot_acf(x, lags = N, alpha= value) so perhaps we can use the underlying function call here to generate the intermediate data before it is plotted via plotnine.

Open to ideas.

Start by reviewing plotnine's extension points for layers or facets and the mentioned statsmodels.graphics.tsaplots.plot_acf entry point. Clarify the desired API, plotting behavior, and integration scope before implementation; done should mean an agreed autocorrelation feature is supported and documented by appropriate tests.