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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
739066140 https://github.com/pydata/xarray/issues/4234#issuecomment-739066140 https://api.github.com/repos/pydata/xarray/issues/4234 MDEyOklzc3VlQ29tbWVudDczOTA2NjE0MA== quasiben 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 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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   Add ability to change underlying array type 659129613

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