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- numpy_groupies · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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864594346 | https://github.com/pydata/xarray/pull/4540#issuecomment-864594346 | https://api.github.com/repos/pydata/xarray/issues/4540 | MDEyOklzc3VlQ29tbWVudDg2NDU5NDM0Ng== | max-sixty 5635139 | 2021-06-20T18:32:11Z | 2021-06-20T18:32:11Z | MEMBER | @dcherian I know we discussed this a couple of weeks ago, and I said I was hoping to take another pass at this using https://github.com/dcherian/dask_groupby For transparency, I haven't managed to spend any time on this yet. I certainly don't want to block you if you're interested in taking this forward. FWIW my selfish motivation is more around speeding up in-memory groupbys than dask groupbys — the elegance of numpy_groupies & dask_groupby is that they can potentially be unified. |
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numpy_groupies 729208432 | |
792460981 | https://github.com/pydata/xarray/pull/4540#issuecomment-792460981 | https://api.github.com/repos/pydata/xarray/issues/4540 | MDEyOklzc3VlQ29tbWVudDc5MjQ2MDk4MQ== | max-sixty 5635139 | 2021-03-08T04:53:33Z | 2021-03-08T04:53:33Z | MEMBER | Cheers @dcherian . I've been a bit absent from xarray features for the past couple of months as you know. If you want to take this on, please feel free. It's still at the top of my list — so I would get to it — but I really don't want to slow the progress. |
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numpy_groupies 729208432 |
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