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Legendgrams are distributional visualizations for map classification schemes

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the histogram should be normalized to 0,1 rather letting it take the default values in frequency-space. this keeps the interaction style the same between stating how big the legendgram is...

histograms allow for orientation arguments. Right now, we don't support them. I'm inclined to, and then (if a shape isn't specified) flip the aspect ratio of the legend.

We need to consider integrating `legendgram` into `mapclassify` and then archiving this repo.

question

* support Python 3.12 - add to CI matrix * xref https://github.com/pysal/pysal/issues/1340

* Migrate to `pyproject.toml` * https://github.com/pysal/pysal/issues/1277#issuecomment-2215418089 * xref * #15 * #16

Quantiles function is no longer available from pysal and moved to mapclassify package.