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  • fmaussion · 3 ✖

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  • Many methods are broken (e.g., concat/stack/sortby) when using repeated dimensions · 3 ✖

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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
295710929 https://github.com/pydata/xarray/issues/1378#issuecomment-295710929 https://api.github.com/repos/pydata/xarray/issues/1378 MDEyOklzc3VlQ29tbWVudDI5NTcxMDkyOQ== fmaussion 10050469 2017-04-20T12:11:18Z 2017-04-20T12:11:18Z MEMBER

In my case this situation originates from h5 files which indeed contains repeated dimensions

Yes this happened to me too. First thing I did is converting the files to proper netcdf datasets...

 
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   Many methods are broken (e.g., concat/stack/sortby) when using repeated dimensions 222676855
295614924 https://github.com/pydata/xarray/issues/1378#issuecomment-295614924 https://api.github.com/repos/pydata/xarray/issues/1378 MDEyOklzc3VlQ29tbWVudDI5NTYxNDkyNA== fmaussion 10050469 2017-04-20T07:47:18Z 2017-04-20T07:47:18Z MEMBER

I guess it would be good to document the expected behaviour with repeated dims somewhere? I.e. what should happen when doing: a = xr.DataArray(eye(3), dims=['dim0', 'dim0']) a.mean(dim='dim0') ?

 
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   Many methods are broken (e.g., concat/stack/sortby) when using repeated dimensions 222676855
295192317 https://github.com/pydata/xarray/issues/1378#issuecomment-295192317 https://api.github.com/repos/pydata/xarray/issues/1378 MDEyOklzc3VlQ29tbWVudDI5NTE5MjMxNw== fmaussion 10050469 2017-04-19T09:46:37Z 2017-04-19T09:46:37Z MEMBER

Yes, also happening on latest master.

I suspect there are several other things which won't work properly (or at least unexpectedly) when having repeated dims...

 
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   Many methods are broken (e.g., concat/stack/sortby) when using repeated dimensions 222676855

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