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/2803#issuecomment-680060278,https://api.github.com/repos/pydata/xarray/issues/2803,680060278,MDEyOklzc3VlQ29tbWVudDY4MDA2MDI3OA==,90008,2020-08-25T14:29:18Z,2020-08-25T14:29:18Z,CONTRIBUTOR,"Sorry for noise. It seems that 1D arrays are still supported.

I still had a 2D array lingering in my codebase.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,417542619
https://github.com/pydata/xarray/issues/2803#issuecomment-679399158,https://api.github.com/repos/pydata/xarray/issues/2803,679399158,MDEyOklzc3VlQ29tbWVudDY3OTM5OTE1OA==,90008,2020-08-24T22:31:09Z,2020-08-24T22:31:09Z,CONTRIBUTOR,"With the netcdf4 back end, I'm not able to save a 1D attr dataset.

I can save my dataset with the h5netcdf backend","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,417542619
https://github.com/pydata/xarray/issues/2803#issuecomment-679352344,https://api.github.com/repos/pydata/xarray/issues/2803,679352344,MDEyOklzc3VlQ29tbWVudDY3OTM1MjM0NA==,2448579,2020-08-24T20:36:18Z,2020-08-24T20:36:18Z,MEMBER,"I remember being surprised by this:
`xr.tutorial.load_dataset(""air_temperature"").air.attrs[""actual_range""]` gives
`array([185.16, 322.1 ], dtype=float32)`","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,417542619
https://github.com/pydata/xarray/issues/2803#issuecomment-679348131,https://api.github.com/repos/pydata/xarray/issues/2803,679348131,MDEyOklzc3VlQ29tbWVudDY3OTM0ODEzMQ==,90008,2020-08-24T20:26:49Z,2020-08-24T20:26:49Z,CONTRIBUTOR,"Sorry for posting on such an old thread.

Are `attrs` supposed to support 1D arrays?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,417542619
https://github.com/pydata/xarray/issues/2803#issuecomment-472067849,https://api.github.com/repos/pydata/xarray/issues/2803,472067849,MDEyOklzc3VlQ29tbWVudDQ3MjA2Nzg0OQ==,1217238,2019-03-12T16:12:00Z,2019-03-12T16:12:00Z,MEMBER,"Yes, those both sound like good options to me.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,417542619
https://github.com/pydata/xarray/issues/2803#issuecomment-472034107,https://api.github.com/repos/pydata/xarray/issues/2803,472034107,MDEyOklzc3VlQ29tbWVudDQ3MjAzNDEwNw==,2443309,2019-03-12T14:53:11Z,2019-03-12T14:53:11Z,MEMBER,"@shoyer - I'm surprised we had a test for this behavior. Based on https://github.com/Unidata/netcdf4-python/issues/841, it seems we don't want this behavior to work. Can we just remove this test (or better yet, insure the ValueError is raised)? ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,417542619