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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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2017285297 | PR_kwDOAMm_X85gtObP | 8491 | Warn on repeated dimension names during construction | TomNicholas 35968931 | closed | 0 | 13 | 2023-11-29T19:30:51Z | 2023-12-01T01:37:36Z | 2023-12-01T00:40:18Z | MEMBER | 0 | pydata/xarray/pulls/8491 |
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xarray 13221727 | pull | |||||
592312709 | MDExOlB1bGxSZXF1ZXN0Mzk3MzIwNzgx | 3925 | sel along 1D non-index coordinates | TomNicholas 35968931 | closed | 0 | 13 | 2020-04-02T02:23:56Z | 2022-09-07T14:31:58Z | 2022-09-07T14:31:58Z | MEMBER | 0 | pydata/xarray/pulls/3925 | As a user, I find not being able to select along one-dimensional non-dimensional coordinates actually comes up fairly often. I think it's quite common to use multiple coordinates to be able to choose between plotting in different coordinate systems (or units) easily. I've tried to close #2028 in the simplest (but also least efficient) way which was suggested by @shoyer (suggestion 1 here). This should be temporary anyway: it will get superseded by the explicit indexes refactor. If there is another approach which would achieve the same functionality as this PR but actually bring us closer to #1603 then I would be happy to take a stab at that instead. I don't really know what to do about the failing test in groupby arithmetic - I think it's caused here but I'm not sure what to replace the triple error type catching (?!) with.
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xarray 13221727 | pull | |||||
1034238626 | I_kwDOAMm_X849pTqi | 5889 | Release v0.20? | TomNicholas 35968931 | closed | 0 | 13 | 2021-10-23T19:31:01Z | 2021-11-02T18:38:50Z | 2021-11-02T18:38:50Z | MEMBER | We should do another release soon. The last one was v0.19 on July 23rd, so it's been 3 months. (In particular I personally want to get some small pint compatibility fixes released such as https://github.com/pydata/xarray/pull/5571 and https://github.com/pydata/xarray/pull/5886, so that the code in this blog post advertising pint-xarray integration all works.) There's been plenty of changes since then, and there are more we could merge quite quickly. It's a breaking release because we changed some dependencies, so should be called @benbovy how does the ongoing index refactor stuff affect this release? Do we need to wait so it can all be announced? Can we release with merged index refactor stuff just silently sitting there? Small additions we could merge, feel free to suggest more @pydata/xarray : - https://github.com/pydata/xarray/pull/5834 - https://github.com/pydata/xarray/pull/5662 - #5233 - #5900 - #5365 - #5845 - #5904 - #5911 - #5905 - #5847 - #5916 |
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completed | xarray 13221727 | issue |
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