issues: 110807626

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
110807626 MDU6SXNzdWUxMTA4MDc2MjY= 619 Improve plot aspect handling when using cartopy 2443309 open 0     5 2015-10-10T17:43:55Z 2021-01-03T16:17:29Z   MEMBER      

This applies to single plots and FacetGrids.

The current plotting behavior when using a projection that changes the plot aspect is as follows:

``` Python from xray.tutorial import load_dataset

ds = load_dataset('air_temperature')

ax = plt.subplot(projection=ccrs.LambertConformal()) ds.air.isel(time=0).plot(transform=ccrs.PlateCarree()) ax.coastlines() ax.gridlines() ```

Python fg = ds.air.isel(time=slice(0, 9)).plot(col='time', col_wrap=3, transform=ccrs.PlateCarree(), subplot_kws=dict(projection=ccrs.LambertConformal())) for ax in fg.axes.flat: ax.coastlines() ax.gridlines()

There are two problems here, I think both are related to the aspect of the subplot: 1. In the single case, the subplot aspect is correct but the colorbar is not scaled appropriately 2. In the FacetGrid case, the subplot aspects are not correct but the colorbar is.

 
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     13221727 issue

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