issue_comments: 739066140
This data as json
| 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: 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 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. |
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