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/1375#issuecomment-511127437,https://api.github.com/repos/pydata/xarray/issues/1375,511127437,MDEyOklzc3VlQ29tbWVudDUxMTEyNzQzNw==,1197350,2019-07-13T14:45:17Z,2019-07-13T14:45:17Z,MEMBER,"I personally use the new sparse project for my day-to-day research. I am motivated on this, but I probably won't have time today to dive deep on this.

Maybe CuPy would be more exciting.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,221858543
https://github.com/pydata/xarray/issues/1375#issuecomment-510940851,https://api.github.com/repos/pydata/xarray/issues/1375,510940851,MDEyOklzc3VlQ29tbWVudDUxMDk0MDg1MQ==,1197350,2019-07-12T16:00:23Z,2019-07-12T16:00:23Z,MEMBER,"If someone who is good at numpy shows up at our sprint tomorrow, this could be a good issue try out.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,221858543
https://github.com/pydata/xarray/issues/1375#issuecomment-504620907,https://api.github.com/repos/pydata/xarray/issues/1375,504620907,MDEyOklzc3VlQ29tbWVudDUwNDYyMDkwNw==,1197350,2019-06-22T02:55:17Z,2019-06-22T02:55:17Z,MEMBER,"Given the recent improvements in numpy duck array typing, how close are we to being able to just wrap a pydata/sparse array in an xarray Dataset?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,221858543
https://github.com/pydata/xarray/issues/1375#issuecomment-326824818,https://api.github.com/repos/pydata/xarray/issues/1375,326824818,MDEyOklzc3VlQ29tbWVudDMyNjgyNDgxOA==,1197350,2017-09-03T19:07:54Z,2017-09-03T19:07:54Z,MEMBER,Sparse Xarray DataArrays would be useful for the linear regridding operations discussed in JiaweiZhuang/xESMF#3.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,221858543
https://github.com/pydata/xarray/issues/1375#issuecomment-294386024,https://api.github.com/repos/pydata/xarray/issues/1375,294386024,MDEyOklzc3VlQ29tbWVudDI5NDM4NjAyNA==,1197350,2017-04-17T01:18:15Z,2017-04-17T01:18:25Z,MEMBER,"> @rabernat do you have an application that we could use to drive this?

Nothing comes to mind immediately. My data are unfortunately quite dense! 😜  ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,221858543
https://github.com/pydata/xarray/issues/1375#issuecomment-294270200,https://api.github.com/repos/pydata/xarray/issues/1375,294270200,MDEyOklzc3VlQ29tbWVudDI5NDI3MDIwMA==,1197350,2017-04-15T03:56:27Z,2017-04-15T03:56:52Z,MEMBER,"👍  to the scipy.sparse array suggestion

[While we are discussing supporting other array types, we should keep [gpu arrays](https://documen.tician.de/pycuda/array.html) on the radar]
","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,221858543