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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
556078259 https://github.com/pydata/xarray/issues/757#issuecomment-556078259 https://api.github.com/repos/pydata/xarray/issues/757 MDEyOklzc3VlQ29tbWVudDU1NjA3ODI1OQ== dcherian 2448579 2019-11-20T16:12:40Z 2019-11-20T16:12:40Z MEMBER

I use reindex instead of sortby

 
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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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370123586 https://github.com/pydata/xarray/issues/757#issuecomment-370123586 https://api.github.com/repos/pydata/xarray/issues/757 MDEyOklzc3VlQ29tbWVudDM3MDEyMzU4Ng== tdihp 1396390 2018-03-03T06:27:13Z 2018-03-03T06:27:13Z NONE

Ahh, so it's sorted, instead of keeping the original order.

I was expecting DataArray.groupby().reduce would work like np.apply_along_axis, and used the data of the result directly.

 
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182676967 https://github.com/pydata/xarray/issues/757#issuecomment-182676967 https://api.github.com/repos/pydata/xarray/issues/757 MDEyOklzc3VlQ29tbWVudDE4MjY3Njk2Nw== shoyer 1217238 2016-02-11T02:32:59Z 2016-02-12T00:15:48Z MEMBER

For what it's worth, I don't think we have any good solutions short of adding our own array type do to Categorical in xarray. We could set sort=False in some cases when we call pd.factorize but that's not a great alternative.

 
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182671718 https://github.com/pydata/xarray/issues/757#issuecomment-182671718 https://api.github.com/repos/pydata/xarray/issues/757 MDEyOklzc3VlQ29tbWVudDE4MjY3MTcxOA== jhamman 2443309 2016-02-11T02:01:05Z 2016-02-11T02:01:05Z MEMBER

Hmmm, a mystery. I'll look into this a bit more.

 
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182659762 https://github.com/pydata/xarray/issues/757#issuecomment-182659762 https://api.github.com/repos/pydata/xarray/issues/757 MDEyOklzc3VlQ29tbWVudDE4MjY1OTc2Mg== shoyer 1217238 2016-02-11T00:48:18Z 2016-02-11T00:48:18Z MEMBER

I agree this is annoying, but I don't think your diagnosis is correct here. The groups property isn't used by any internal routines AFAICT. The issue is that groups are sorted, but as text rather than ordered categorical -- notice that the labels are ordered alphabetically.

 
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