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/4234#issuecomment-739066140,https://api.github.com/repos/pydata/xarray/issues/4234,739066140,MDEyOklzc3VlQ29tbWVudDczOTA2NjE0MA==,1403768,2020-12-04T22:56:23Z,2020-12-04T22:56:23Z,MEMBER,"Wanted to update on some recent work.  With NEP35 (https://github.com/numpy/numpy/pull/16935, https://github.com/numpy/numpy/pull/17787) experimentally in NumPy, I've been exploring a bit more on using GPUs with xarray starting off with basic groupby workflows.  There are places in the code where xarray calls pandas directly.  For example, when building Indexes:

https://github.com/pydata/xarray/blob/7152b41fa80a56db0ce88b241fbe4092473cfcf0/xarray/core/dataset.py#L150-L153

This is going to be challenging primarily because xarray will need to determine which DataFrame library to use during Index creation (possibly other DataFrame objects).  While there is a [consortium](https://data-apis.org/) developing potential solutions for libraries to leverage multiple dataframe libraries I was going to keep hacking away and see what other issues may be lurking. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,659129613