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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
877016428 MDExOlB1bGxSZXF1ZXN0NjMxMDUwNjgw 5264 Numpy string coding znicholls 23625371 closed 0     18 2021-05-06T02:35:55Z 2021-12-30T23:40:28Z 2021-12-30T23:39:55Z CONTRIBUTOR   0 pydata/xarray/pulls/5264

Fixes handling of numpy string types in coding

  • [x] Tests added
  • [x] Passes pre-commit run --all-files
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst
 
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     xarray 13221727 pull
990509161 MDExOlB1bGxSZXF1ZXN0NzI5MDkzNzM2 5776 Update combine error znicholls 23625371 closed 0     6 2021-09-08T01:05:38Z 2021-09-27T15:14:49Z 2021-09-27T14:43:15Z CONTRIBUTOR   0 pydata/xarray/pulls/5776

The update points users in the direction of the use_cftime argument, which can solve issues where calendars are decoded into different time classes (see also the discussion in #5767)

  • [x] Tests added
  • [x] Passes pre-commit run --all-files
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst
 
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     xarray 13221727 pull
988426640 MDExOlB1bGxSZXF1ZXN0NzI3MzQwMDg5 5767 Open mfdataset with long time axis znicholls 23625371 closed 0     6 2021-09-05T05:18:14Z 2021-09-08T01:06:31Z 2021-09-08T01:06:31Z CONTRIBUTOR   1 pydata/xarray/pulls/5767

When open_mfdataset is used on files which have a long time axis, sometimes one time axis is cast to pd.Timestamp whilst the other is cast to cftime.datetime. In such a case, xarray thinks the time co-ordinates are different and won't load and combine the files automatically. This PR identifies this issue. I've also put in a hack solution but there must be a better way to handle this edge case.

  • [x] Tests added
  • [ ] Passes pre-commit run --all-files
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst
 
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     xarray 13221727 pull
834380377 MDExOlB1bGxSZXF1ZXN0NTk1MjA1ODQy 5050 BUG: Future time decoding znicholls 23625371 closed 0     3 2021-03-18T04:31:31Z 2021-03-18T14:04:09Z 2021-03-18T14:03:59Z CONTRIBUTOR   0 pydata/xarray/pulls/5050
  • [x] Tests added
  • [x] Passes pre-commit run --all-files
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst

This identifies (and hopefully soon fixes) an issue with decoding times that are way into the future. Without re-introducing a change made in #4684, the test fails (see https://github.com/pydata/xarray/pull/5050/checks?check_run_id=2136824754). With the change put back in, the test passes (see https://github.com/pydata/xarray/pull/5050/checks?check_run_id=2136892412).

@spencerkclark can I ask for your help on this one please? It seems that the removal in #4684 caused this case (which wasn't tested) to break in v0.17 and it's unclear to me where the fix should be (I'm guessing pandas from the discussions in #4684...).

 
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     xarray 13221727 pull
719881097 MDExOlB1bGxSZXF1ZXN0NTAxOTk2NjI1 4506 Decoding year 1 time znicholls 23625371 closed 0     5 2020-10-13T05:38:58Z 2020-10-26T10:15:13Z 2020-10-26T09:50:18Z CONTRIBUTOR   0 pydata/xarray/pulls/4506
  • [x] Closes #4422
  • [x] Tests added
  • [x] Passes isort . && black . && mypy . && flake8
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [x] Decision on whether to raise a warning or not when padding is performed
 
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     xarray 13221727 pull

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