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  • ahuang11 · 1 ✖

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  • Plotting inconsistencies with Cartopy · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
671104032 https://github.com/pydata/xarray/issues/3169#issuecomment-671104032 https://api.github.com/repos/pydata/xarray/issues/3169 MDEyOklzc3VlQ29tbWVudDY3MTEwNDAzMg== ahuang11 15331990 2020-08-09T21:37:20Z 2020-08-09T21:37:20Z CONTRIBUTOR

I think this is fixed in the latest master.

``` import xarray as xr import numpy as np import cartopy.crs as ccrs

da = xr.tutorial.open_dataset('air_temperature')['air']

p = da.isel(time=[0, 1]).plot( transform=ccrs.PlateCarree(), col='time', subplot_kws={'projection': ccrs.Orthographic(-80, 35)} )

for ax in p.axes.flat: ax.coastlines() ax.gridlines() ```

p = da.isel(time=0).plot( transform=ccrs.PlateCarree(), subplot_kws={'projection': ccrs.Orthographic(-80, 35)} )

However if you try iterating over the axes, it will crash because p is quadmesh type not a facetgrid type so I was wondering whether it'd be good to have an keyword like force_facetgrid_type=True which uses the FacetGrid class to plot a single map so that the user can keep the same code for single axes and facet axes? ``` p = da.isel(time=0).plot( transform=ccrs.PlateCarree(), subplot_kws={'projection': ccrs.Orthographic(-80, 35)} )

for ax in p.axes.flat: ax.coastlines() ax.gridlines() ```

 
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   Plotting inconsistencies with Cartopy 474463902

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