Ruth Comer

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Cartopy 0.23 was just released and python 3.12 wheels are up on PyPI :tada:

Do we also need something to expose the version option on `NaturalEarthFeature`, similar to how scale is handled?

Ah OK. If the new behaviour is desired we should change the example then. Sorry I’m not following what you mean by “change the value“.

If I add `Zm = np.ma.filled(Zm, np.nan)` before the plotting, I get the same result as when it was masked.

It probably doesn't help that `plot` returns an object called `Line2D`, even if no line is drawn.

Would it be worth adding a second entry for `plot` in [plot types](https://matplotlib.org/stable/plot_types/index#pairwise-data) showing a scatter plot? The `scatter` entry already has random colours and sizes, so it could help...

If the thumbnails look like this, it makes it really obvious how much the use-cases can overlap ![plot](https://github.com/matplotlib/matplotlib/assets/10599679/2799c044-053c-4ee6-94ff-5041ce68c085) ![plot_scatter](https://github.com/matplotlib/matplotlib/assets/10599679/169f76be-d965-442a-a731-a95ee389753d) ![scatter](https://github.com/matplotlib/matplotlib/assets/10599679/8c251d3b-84e6-4e34-9dad-5634897347df)

> scatter -> every type of scatter except uniform scatter Just to confuse things further, I recently changed some code from using `scatter` to using `plot` because I wanted [half-filled...

This can be reproduced more simply with ```python from mpl_toolkits.axes_grid1.inset_locator import inset_axes import matplotlib.pyplot as plt import numpy as np fig, axes = plt.subplots(1, 1) x = np.random.randint(100, size=(10, 200))...