issue_comments: 521357519
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| 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/3218#issuecomment-521357519 | https://api.github.com/repos/pydata/xarray/issues/3218 | 521357519 | MDEyOklzc3VlQ29tbWVudDUyMTM1NzUxOQ== | 5635139 | 2019-08-14T18:12:43Z | 2019-08-14T18:12:43Z | MEMBER | I think this would be good. It would need to be implemented outside of python (cython / numba / etc) given the performance requirements. I'm not sure whether we could borrow the pandas functionality and apply it to multi-dimensional arrays. Assuming we'd need to write our own, xarray doesn't have any cython dependencies, so I think it would be best in a separate and optional package. These could go in numbagg. It's non-trivial work, so someone would have to have a strong need for it. |
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