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/864#issuecomment-457948951,https://api.github.com/repos/pydata/xarray/issues/864,457948951,MDEyOklzc3VlQ29tbWVudDQ1Nzk0ODk1MQ==,26384082,2019-01-27T19:58:04Z,2019-01-27T19:58:04Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity
If this issue remains relevant, please comment here; otherwise it will be marked as closed automatically
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,157886730
https://github.com/pydata/xarray/issues/864#issuecomment-223160437,https://api.github.com/repos/pydata/xarray/issues/864,223160437,MDEyOklzc3VlQ29tbWVudDIyMzE2MDQzNw==,1217238,2016-06-02T00:01:32Z,2016-06-02T00:01:32Z,MEMBER,"What are the types of the incompatible arrays? This certainly is not desirable for xarray -- we'd like to be able to stack these arrays together, into a lowest compatible dtype (even if that's only object). I think the main issue here is actually in dask.array, but it would be nice to be able to provide them with a minimal example.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,157886730
https://github.com/pydata/xarray/issues/864#issuecomment-222995827,https://api.github.com/repos/pydata/xarray/issues/864,222995827,MDEyOklzc3VlQ29tbWVudDIyMjk5NTgyNw==,743508,2016-06-01T13:42:21Z,2016-06-01T13:42:59Z,CONTRIBUTOR,"On further investigation, it appears the problem is the dataset contains a mix of string and float data - the strings are redundant representations of the time stamp, therefore they don't appear in the index query. When I tried to convert to array, the numpy chokes on the mixed types. Explicitly selecting on the desired data variable solves this: 

`selection = cfsr_new.TMP_L103.sel(lon=lon_sel, lat=lat_sel, time=time_sel)`

I think a clearer error message may be needed: when you do `sel` without indexing on certain dimensions, those are included in the resulting selection. It's possible for those to be of mixed incompatible types. Clearly  to do `to_array` you need a numpy-friendly uniform type. The error should make this clearer.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,157886730