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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
1924156612 PR_kwDOAMm_X85byrbF 8267 Use duck array ops in more places tomwhite 85085 closed 0     1 2023-10-03T13:28:25Z 2023-10-05T18:41:20Z 2023-10-05T18:41:20Z CONTRIBUTOR   0 pydata/xarray/pulls/8267

This uses duck_array_ops in some more places that were found to cause failures in https://github.com/xarray-contrib/cubed-xarray/issues/8

  • [ ] Closes #xxxx
  • [ ] Tests added
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [ ] New functions/methods are listed in api.rst
 
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     xarray 13221727 pull
1720045908 PR_kwDOAMm_X85RCVSx 7862 CF encoding should preserve vlen dtype for empty arrays tomwhite 85085 closed 0     17 2023-05-22T16:41:11Z 2023-06-16T07:00:35Z 2023-06-16T03:56:14Z CONTRIBUTOR   0 pydata/xarray/pulls/7862
  • [x] Closes #7328
  • [x] Tests added

The idea is that it enables a workaround for #7328, where the dtype metadata can be set to a vlen string so that it doesn't get changed to float.

The line that is changed in the example in #7328 is: ds = xr.Dataset({"a": np.array([], dtype=coding.strings.create_vlen_dtype(str))})

 
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1502721600 PR_kwDOAMm_X85FxUrF 7387 Make `broadcast` and `concat` work with the Array API tomwhite 85085 closed 0     1 2022-12-19T10:49:28Z 2023-01-06T14:18:08Z 2023-01-05T20:43:15Z CONTRIBUTOR   0 pydata/xarray/pulls/7387
  • [ ] Closes #xxxx
  • [x] Tests added

This change is needed to run @dcherian's Transformed Eulerian Mean diagnostic example in https://github.com/dcherian/ncar-challenge-suite/blob/main/tem.ipynb using the Array API (on Cubed, see https://github.com/tomwhite/cubed/issues/145).

 
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1382574245 PR_kwDOAMm_X84_b5H9 7067 More Array API changes tomwhite 85085 closed 0     3 2022-09-22T14:43:46Z 2022-10-18T17:04:35Z 2022-10-18T17:04:35Z CONTRIBUTOR   0 pydata/xarray/pulls/7067

Including aggregation with nans, astype, where, stack.

This is a follow-on to #6804, delegating more functions to np or xp as appropriate.

  • [x] Tests added
 
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1307709199 PR_kwDOAMm_X847jiR4 6804 Support NumPy array API (experimental) tomwhite 85085 closed 0     1 2022-07-18T10:04:02Z 2022-07-21T17:43:20Z 2022-07-20T06:09:14Z CONTRIBUTOR   0 pydata/xarray/pulls/6804
  • [x] Closes #3232
  • [x] Tests added
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [ ] New functions/methods are listed in api.rst

Note: I haven't actually tested this with pytorch (which is the motivating example for #3232).

 
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1165278675 PR_kwDOAMm_X840PayU 6348 Allow write_empty_chunks to be set in Zarr encoding tomwhite 85085 closed 0     1 2022-03-10T14:12:21Z 2022-03-17T16:14:37Z 2022-03-17T04:52:10Z CONTRIBUTOR   0 pydata/xarray/pulls/6348
  • [x] Closes #6347
  • [ ] Tests added
  • [ ] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [ ] New functions/methods are listed in api.rst
 
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     xarray 13221727 pull
870782371 MDExOlB1bGxSZXF1ZXN0NjI1OTE3OTQy 5235 Fix exception when display_expand_data=False for file-backed array. tomwhite 85085 closed 0     4 2021-04-29T08:57:50Z 2021-05-06T16:42:45Z 2021-05-06T16:42:45Z CONTRIBUTOR   0 pydata/xarray/pulls/5235
  • [X] Closes #4229
  • [x] Tests added
  • [x] Passes pre-commit run --all-files

See discussion in https://github.com/pydata/xarray/pull/5126#pullrequestreview-645689987

 
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852280544 MDExOlB1bGxSZXF1ZXN0NjEwNTYwMjkw 5126 Add options to control expand/collapse of sections in display of Dataset and DataArray tomwhite 85085 closed 0     9 2021-04-07T10:51:03Z 2021-04-29T08:58:25Z 2021-04-27T01:37:54Z CONTRIBUTOR   0 pydata/xarray/pulls/5126
  • [x] Closes #4229
  • [x] Tests added
  • [x] Passes pre-commit run --all-files
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [ ] New functions/methods are listed in api.rst
 
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     xarray 13221727 pull

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