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
1916363233,PR_kwDOAMm_X85bYe7b,8241,Use strict type hinting for namedarray,14371165,closed,0,,,4,2023-09-27T21:32:41Z,2024-02-02T18:12:22Z,2023-10-03T17:18:41Z,MEMBER,,0,pydata/xarray/pulls/8241,Towards the strict goal in #8239.,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/8241/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
1462833576,PR_kwDOAMm_X85Dnp5w,7319,mypy - Remove some ignored packages and modules,14371165,closed,0,,,4,2022-11-24T06:34:13Z,2022-11-26T15:39:12Z,2022-11-26T15:39:11Z,MEMBER,,0,pydata/xarray/pulls/7319,"dask has added py.typed files so now the ignores shouldn't be needed anymore:
https://github.com/dask/dask/pull/8854
https://github.com/dask/distributed/pull/5328
As does numpy and pint

pycompat.py doesn't error anymore, so it's good to type check that one as well. Fixed also a python 3.8 related error in it.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7319/reactions"", ""total_count"": 2, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 2, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
1452339775,PR_kwDOAMm_X85DEC8r,7296,Fix some typing errors in DuckArrayModule,14371165,closed,0,,,4,2022-11-16T22:07:00Z,2022-11-20T18:52:12Z,2022-11-20T10:18:53Z,MEMBER,,0,pydata/xarray/pulls/7296,"Fixes these errors that I've been seeing locally for a while:

```python
!mypy C:\Users\J.W\Documents\GitHub\xarray\xarray\core\coordinates.py --ignore-missing-imports
C:\Users\J.W\Documents\GitHub\xarray\xarray\core\pycompat.py:48: error: Incompatible types in assignment (expression has type ""Tuple[]"", variable has type ""Tuple[Any]"")
C:\Users\J.W\Documents\GitHub\xarray\xarray\core\pycompat.py:50: error: Incompatible types in assignment (expression has type ""Optional[Module]"", variable has type ""Optional[Literal['dask', 'pint', 'cupy', 'sparse']]"")
Found 2 errors in 1 file (checked 1 source file)
```

Not sure why the CI isn't catching these?","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7296/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
1302483271,PR_kwDOAMm_X847SWhZ,6778,Add dataarray scatter,14371165,closed,0,,,4,2022-07-12T18:44:29Z,2022-10-07T19:37:18Z,2022-10-07T15:43:29Z,MEMBER,,0,pydata/xarray/pulls/6778,"Splitting up #5622 as the scope of it has grown too large now.

* Adds support for dataarray scatter plots and replaces the dataset version.
* Scatter now has 3d support with the z argument.
* Scatter now always returns a single pathcollection, earlier it could return a list of pathcollection when using categoricals
* Better legend, handles now categoricals. Making continous/discrete options slightly redundant, still there though.
* Facetgrid generalized slightly to handle 3d plots.

TODO:
* sharex sharey test https://github.com/pydata/xarray/pull/7047: len(list(ax.get_shared_x_axes())) != 0

- [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`
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/6778/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
1376156646,PR_kwDOAMm_X84_HFMo,7047,Set sharex/sharey to False if using 3d plots,14371165,closed,0,,,4,2022-09-16T16:16:57Z,2022-09-25T15:33:29Z,2022-09-25T15:33:29Z,MEMBER,,0,pydata/xarray/pulls/7047,"Matplotlibs 3d plots appears to not support sharex/sharey. So reset to default values instead. This improves the look of the plot as axis values aren't deleted. 

Example:
```python
import matplotlib.pyplot as plt

fig = plt.figure()
subplot_kws = {""projection"":""3d""}
ax1 = fig.add_subplot(211, **subplot_kws)
ax1.plot([0, 1, 2], [5,6,6])
ax2 = fig.add_subplot(212, sharex = ax1, **subplot_kws)
ax2.plot([0, 1, 2], [5,4,2])  # x axis is not linked.
```
Split up from #6778.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7047/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
930918574,MDExOlB1bGxSZXF1ZXN0Njc4NTA3NDMw,5540,Cache some properties,14371165,open,0,,,4,2021-06-27T12:22:16Z,2022-07-10T14:34:34Z,,MEMBER,,1,pydata/xarray/pulls/5540,"Cache some small properties that are rather slow to calculate but doesn't change that often.

Questions that needs to be resolved:

- [ ] Can these properties change during the lifetime of the class? If so the cache needs to be reset when that happens.


<!-- Feel free to remove check-list items aren't relevant to your change -->

- [ ] Related to #3514
- [ ] Tests added
- [ ] Passes `pre-commit run --all-files`
- [ ] User visible changes (including notable bug fixes) are documented in `whats-new.rst`
- [ ] New functions/methods are listed in `api.rst`


Notes
* Mixin classes makes it difficult to cache properties. For example `ndim` in `NdimSizeLenMixin` cannot be easily be replaced with `cache_readonly`.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5540/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
963318000,MDExOlB1bGxSZXF1ZXN0NzA1OTU2MDMx,5684,Initialize custom backends in open_dataset,14371165,closed,0,,,4,2021-08-07T23:07:33Z,2021-10-09T23:49:55Z,2021-10-09T23:49:55Z,MEMBER,,0,pydata/xarray/pulls/5684,"The backend classes are initialized in the `build_engine` function:
https://github.com/pydata/xarray/blob/8b95da8e21a9d31de9f79cb0506720595f49e1dd/xarray/backends/plugins.py#L93

This wasn't the case for custom backends:
https://github.com/pydata/xarray/blob/8b95da8e21a9d31de9f79cb0506720595f49e1dd/xarray/backends/plugins.py#L161

This PR initializes the engine, fixes the incorrect signature in the test (#5033) and reverts the doc changes done in #5532.

<!-- Feel free to remove check-list items aren't relevant to your change -->

- [x] Tests added
- [x] Passes `pre-commit run --all-files`
- [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst`

","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5684/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
925385280,MDExOlB1bGxSZXF1ZXN0NjczODczNjA5,5494,Fix typing in to_stacked_array,14371165,closed,0,,,4,2021-06-19T12:31:26Z,2021-07-02T16:09:07Z,2021-06-24T18:21:03Z,MEMBER,,0,pydata/xarray/pulls/5494,"Attempt to fix these errors found in #5365.

```
xarray/core/computation.py:1533: error: Argument ""variable_dim"" to ""to_stacked_array"" of ""Dataset"" has incompatible type ""Hashable""; expected ""str""  [arg-type]
xarray/core/computation.py:1533: error: Argument ""sample_dims"" to ""to_stacked_array"" of ""Dataset"" has incompatible type ""Mapping[Hashable, int]""; expected ""Sequence[Hashable]""  [arg-type]
```
- [x] Passes `pre-commit run --all-files`
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5494/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
933817286,MDExOlB1bGxSZXF1ZXN0NjgwOTY4OTI3,5555,Faster interpolation using meta,14371165,closed,0,,,4,2021-06-30T15:13:44Z,2021-07-02T16:05:41Z,2021-07-02T12:49:50Z,MEMBER,,0,pydata/xarray/pulls/5555,"Removing a commented improvement that required that the minimum version requirement for dask to be increased.

- [x] Requires #5556
- [x] Passes `pre-commit run --all-files`
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5555/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
930925407,MDExOlB1bGxSZXF1ZXN0Njc4NTEyNTU5,5541,Faster transpose,14371165,closed,0,,,4,2021-06-27T13:00:21Z,2021-06-27T19:58:14Z,2021-06-27T19:29:58Z,MEMBER,,0,pydata/xarray/pulls/5541,"Make the transpose faster.
* `get_axis_num` seems slow, avoid triggering it unnecessarily for example when using 1d arrays.
* .copy(deep=False) is the bottleneck for 1d arrays. Not sure if it can be dealt with though.



<!-- Feel free to remove check-list items aren't relevant to your change -->

- [ ] Closes #xxxx
- [ ] Tests added
- [ ] Passes `pre-commit run --all-files`
- [ ] User visible changes (including notable bug fixes) are documented in `whats-new.rst`
- [ ] New functions/methods are listed in `api.rst`
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5541/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
891995172,MDExOlB1bGxSZXF1ZXN0NjQ0NzczODU4,5311,Remove version checks for older versions than the min deps,14371165,closed,0,,,4,2021-05-14T15:01:17Z,2021-05-18T18:12:50Z,2021-05-15T04:36:15Z,MEMBER,,0,pydata/xarray/pulls/5311,Found some checks that should always be true nowadays.,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5311/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull