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  • jbusecke · 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
556062845 https://github.com/pydata/xarray/issues/757#issuecomment-556062845 https://api.github.com/repos/pydata/xarray/issues/757 MDEyOklzc3VlQ29tbWVudDU1NjA2Mjg0NQ== jbusecke 14314623 2019-11-20T15:45:33Z 2019-11-20T15:45:33Z CONTRIBUTOR

Just stumbled across this issue. Is there a recommended workaround?

I am usually doing this (specific to seasons): import xarray as xr ds = xr.tutorial.open_dataset('air_temperature') airtemp_seasonal = ds.groupby('time.season').mean('time').sortby(xr.DataArray(['DJF','MAM','JJA', 'SON'],dims=['season'])) Thought this might help some folks who need to solve this problem.

 
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