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  • FacetGrid with independent colorbars · 2 ✖

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298079713 https://github.com/pydata/xarray/issues/1387#issuecomment-298079713 https://api.github.com/repos/pydata/xarray/issues/1387 MDEyOklzc3VlQ29tbWVudDI5ODA3OTcxMw== shoyer 1217238 2017-04-28T18:57:04Z 2017-04-28T18:57:04Z MEMBER

This does kind of go against the point of FacetGrid, which is to display facets of the same variables in a grid. If your plots should have different colorbars, then arguably they should be different data variables in a Dataset.

That said, this does seem similar in spirit to the sharex and sharey arguments. Maybe sharez or share_vlim would be appropriate arguments for changing this?

Squeezing multiple colorbars in will be a little trickier than just allowing colorbar limits to vary, but if it can be done in a sane fashion that doesn't make the existing code more complex I would be in support.

 
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   FacetGrid with independent colorbars 224846826
297934889 https://github.com/pydata/xarray/issues/1387#issuecomment-297934889 https://api.github.com/repos/pydata/xarray/issues/1387 MDEyOklzc3VlQ29tbWVudDI5NzkzNDg4OQ== fmaussion 10050469 2017-04-28T08:03:06Z 2017-04-28T08:03:06Z MEMBER

Seems reasonable, although this would imply quite a lot of change in the current logic. For example, facetgrids share x and/or y axis:

If there is a colorbar in between, would you like to share axes?

The current way to do what you need is to do it manually:

ds = xr.tutorial.load_dataset('air_temperature') t = ds.air.groupby('time.season').mean(dim='time') f, (ax1, ax2) = plt.subplots(1, 2, figsize=(7, 3)) t.isel(season=0).plot(ax=ax1) t.isel(season=1).plot(ax=ax2)

As you see, this messes up with the layout so a call to tight_layout() is necessary.

 
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   FacetGrid with independent colorbars 224846826

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