issue_comments: 1117497457
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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/pull/5734#issuecomment-1117497457 | https://api.github.com/repos/pydata/xarray/issues/5734 | 1117497457 | IC_kwDOAMm_X85Cm6hx | 2448579 | 2022-05-04T15:33:30Z | 2022-05-04T15:34:06Z | MEMBER | @pydata/xarray This is ready to go. It's mostly one adaptor function and a lot of new tests. It does need docs, I can add that in a future PR. By default, we use a strategy ("split-reduce") that is very similar to our current one with dask arrays, so users will have to explicitly choose a new strategy to see much improvements. For resampling we can choose a sensible default that should show only improvements, and no regressions ("cohorts") |
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978356586 |