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 282916278,MDU6SXNzdWUyODI5MTYyNzg=,1789,Broken link to github on ReadTheDocs ,25473287,closed,0,,,8,2017-12-18T15:24:04Z,2018-10-25T16:24:27Z,2018-10-25T16:24:27Z,NONE,,,,"The ""Edit on GitHub"" button on [ReadTheDocs](http://xarray.pydata.org/en/stable/) is linked to https://github.com/pydata/xarray/blob/origin/stable/doc/index.rst which doesn't exist. The correct URL would be without ""origin"": https://github.com/pydata/xarray/blob/stable/doc/index.rst","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/1789/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 298834332,MDU6SXNzdWUyOTg4MzQzMzI=,1931,apply_ufunc produces illegal coordinate sizes,25473287,closed,0,,,5,2018-02-21T03:58:19Z,2018-05-31T15:40:04Z,2018-05-31T15:40:04Z,NONE,,,,"If `func` changes the size of the core dimension, `apply_ufunc(func, ..)` will only change the data variable dimension but keep the coordinate dimension and value unchanged. The resulting DataArray cannot be saved to a NetCDF file due to dimension inconsistency. Please see this [GitHub gist](https://gist.github.com/JiaweiZhuang/89a6bce7d5adc473134c7014bec065a0) for a simple illustration. Would it be more natural to drop the core coordinate by default? This is safer (will not produce illegal NetCDF file) and also makes more physical sense (the core coordinate is likely to change). I'd like use `apply_ufunc` to track metadata in my xESMF package, but the output DataArray will have incorrect `lon` and `lat` coordinate dimension and values. It is easy to manually correct this afterwards but I want to bring up this issue. #### Output of ``xr.show_versions()``
commit: None python: 3.6.2.final.0 python-bits: 64 OS: Darwin OS-release: 16.7.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 xarray: 0.10.0 pandas: 0.22.0 numpy: 1.13.3 scipy: 1.0.0 netCDF4: 1.3.1 h5netcdf: 0.5.0 Nio: None bottleneck: 1.2.1 cyordereddict: None dask: 0.17.0 matplotlib: 2.0.2 cartopy: 0.15.1 seaborn: 0.8.0 setuptools: 38.2.5 pip: 9.0.1 conda: None pytest: 3.2.5 IPython: 6.1.0 sphinx: 1.6.5
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