html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue https://github.com/pydata/xarray/issues/2213#issuecomment-394718239,https://api.github.com/repos/pydata/xarray/issues/2213,394718239,MDEyOklzc3VlQ29tbWVudDM5NDcxODIzOQ==,7643370,2018-06-05T13:55:30Z,2018-06-05T13:55:30Z,NONE,"@shoyer I created a [notebook ](https://github.com/esa-esdl/esdl-core/blob/master/notebooks/xarray_2213.ipynb) to reproduce this issue with self-contained dummy data and I think I know when this issue occurs. In both cases (my original application and in the notebook example), the time dimension of the DataArray comes with time. When selecting it using **_.sel_**, when time is specified with date and time, the returned DataArray is rightly 2D. However, when the time selection includes only the date (when calling xarray.Dataset.sel), the return includes an unexpected time dimension. In the notebook example, the time dimension is 1 because it could find the right date whereas in my application, time dimension is 0 because it could not find the queried date. I am not sure what is the expected behaviour here.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,329066551 https://github.com/pydata/xarray/issues/2213#issuecomment-394371429,https://api.github.com/repos/pydata/xarray/issues/2213,394371429,MDEyOklzc3VlQ29tbWVudDM5NDM3MTQyOQ==,7643370,2018-06-04T14:19:29Z,2018-06-04T14:19:29Z,NONE,"@jhamman - yes I can reproduce this also in 0.10.6.
INSTALLED VERSIONS ------------------ commit: None python: 3.5.2.final.0 python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: Intel64 Family 6 Model 63 Stepping 2, GenuineIntel byteorder: little LC_ALL: None LANG: None LOCALE: None.None xarray: 0.10.6 pandas: 0.19.0 numpy: 1.11.3 scipy: 1.1.0 netCDF4: 1.2.2 h5netcdf: 0.2.2 h5py: 2.6.0 Nio: None zarr: None bottleneck: 1.2.1 cyordereddict: 1.0.0 dask: 0.14.1 distributed: 1.21.8 matplotlib: 2.2.2 cartopy: None seaborn: 0.8.1 setuptools: 27.2.0.post20161106 pip: 9.0.1 conda: None pytest: 3.6.0 IPython: 6.4.0 sphinx: None
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