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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
2034500760 PR_kwDOAMm_X85hnplA 8536 Speed up localize Illviljan 14371165 open 0     2 2023-12-10T19:24:40Z 2024-05-04T20:20:01Z   MEMBER   1 pydata/xarray/pulls/8536
  • [ ] Closes #xxxx
  • [ ] 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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2240600694 PR_kwDOAMm_X85shCWz 8933 Use array_api compliant dtype Illviljan 14371165 open 0     0 2024-04-12T17:30:51Z 2024-04-30T03:57:57Z   MEMBER   1 pydata/xarray/pulls/8933
  • [ ] Closes #xxxx
  • [ ] Tests added
  • [ ] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [ ] New functions/methods are listed in api.rst

Notes: * For duckarrays, use _dtype[_generic] * For actual np.ndarrays, use np.dtype[np.generic] * np.dtype is too specific in general and it's probably not needed in most of their array_api functions. * _DTypeBase-class in np? * Mixing dtypes from np and xp is discouraged: https://github.com/data-apis/array-api/issues/582 * Using asarray seems to be the recommended way. 

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2241095068 PR_kwDOAMm_X85sixE5 8935 Use Variable.stack instead of np.ravel Illviljan 14371165 open 0     1 2024-04-12T23:04:35Z 2024-04-13T08:27:13Z   MEMBER   1 pydata/xarray/pulls/8935
  • [ ] Closes #xxxx
  • [ ] 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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1410608825 PR_kwDOAMm_X85A4RjC 7173 Add LineCollection plot Illviljan 14371165 open 0     1 2022-10-16T20:16:28Z 2024-04-07T20:26:44Z   MEMBER   1 pydata/xarray/pulls/7173

This adds a line plotter based on LineCollections, called .lines at the moment.

I wanted to replace darray.plot() with using LineCollection instead. But unfortunately due to how many cases are supported (and tested in xarray) darray.plot() will continue using plt.plot.

xref:

4820

5622

 
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2184947713 PR_kwDOAMm_X85pjnvS 8831 Fix datetime in colorbar Illviljan 14371165 open 0     0 2024-03-13T21:48:44Z 2024-03-27T06:39:13Z   MEMBER   1 pydata/xarray/pulls/8831
  • [ ] Closes #xxxx
  • [ ] Tests added
  • [ ] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [ ] New functions/methods are listed in api.rst

python import xarray as xr airtemps = xr.tutorial.open_dataset("air_temperature") airtemps.air[:200].isel(lat=10, lon=10).plot.scatter(x="time", hue="time")

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1746734270 PR_kwDOAMm_X85SdWic 7902 Test array api protocol Illviljan 14371165 open 0     2 2023-06-07T21:50:55Z 2024-01-28T10:36:37Z   MEMBER   1 pydata/xarray/pulls/7902
  • [ ] Closes #xxxx
  • [ ] 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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1953053810 PR_kwDOAMm_X85dURGi 8344 Add mean to NamedArray._array_api Illviljan 14371165 open 0     8 2023-10-19T21:05:06Z 2023-12-19T17:49:22Z   MEMBER   1 pydata/xarray/pulls/8344
  • [ ] Closes #xxxx
  • [ ] 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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1903465587 PR_kwDOAMm_X85atB8W 8211 Add T_DuckArray to DataArray Illviljan 14371165 open 0     0 2023-09-19T17:48:11Z 2023-10-03T17:45:40Z   MEMBER   1 pydata/xarray/pulls/8211
  • [ ] Closes #xxxx
  • [ ] 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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1903622707 PR_kwDOAMm_X85atj9b 8214 Bind T_DuckArray to Variable Illviljan 14371165 open 0     0 2023-09-19T19:42:34Z 2023-10-03T17:40:26Z   MEMBER   1 pydata/xarray/pulls/8214
  • [ ] Closes #xxxx
  • [ ] 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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1549889322 PR_kwDOAMm_X85IKePm 7460 Add abstractmethods to backend classes Illviljan 14371165 open 0     1 2023-01-19T20:19:36Z 2023-07-29T11:42:33Z   MEMBER   1 pydata/xarray/pulls/7460

It's been unclear to me what methods are necessary to implement or not. I think decorating with @abstractmethod will help with that. It's a breaking change though and it could be disruptive.

  • [ ] Closes #xxxx
  • [ ] 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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1797533374 PR_kwDOAMm_X85VIIy4 7975 Test using asv compare Illviljan 14371165 open 0     0 2023-07-10T20:27:31Z 2023-07-13T21:47:05Z   MEMBER   1 pydata/xarray/pulls/7975
  • [ ] Closes #xxxx
  • [ ] Tests added
  • [ ] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [ ] New functions/methods are listed in api.rst

References: https://github.com/cvxpy/cvxpy/pull/1810

 
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1410618081 PR_kwDOAMm_X85A4TS_ 7174 Move .line to plot1d Illviljan 14371165 open 0     0 2022-10-16T20:51:23Z 2023-06-19T20:37:30Z   MEMBER   1 pydata/xarray/pulls/7174
  • [ ] Closes #xxxx
  • [ ] 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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970245117 MDExOlB1bGxSZXF1ZXN0NzEyMjIzNzc2 5704 Allow in-memory arrays with open_mfdataset Illviljan 14371165 open 0     8 2021-08-13T09:50:26Z 2023-04-29T06:58:26Z   MEMBER   0 pydata/xarray/pulls/5704

The docstring seems to imply that it's possible to get in-memory arrays: https://github.com/pydata/xarray/blob/4bb9d9c6df77137f05e85c7cc6508fe7a93dc0e4/xarray/backends/api.py#L732

But it doesn't seem possible because of: https://github.com/pydata/xarray/blob/4bb9d9c6df77137f05e85c7cc6508fe7a93dc0e4/xarray/backends/api.py#L899

This PR removes that or check, changes the default to chunk={}, and fixes the failing tests.

  • [x] Noticed in #5689
  • [ ] Closes #7792
  • [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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1522810384 PR_kwDOAMm_X85G1P52 7424 array api - Add tests for aggregations Illviljan 14371165 open 0     3 2023-01-06T16:10:05Z 2023-04-20T13:37:13Z   MEMBER   1 pydata/xarray/pulls/7424
  • [ ] Closes #7243
  • [x] 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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948049609 MDExOlB1bGxSZXF1ZXN0NjkyOTQzMTYy 5622 Replace dataset scatter with the dataarray version Illviljan 14371165 open 0     12 2021-07-19T21:39:23Z 2022-10-15T20:11:34Z   MEMBER   1 pydata/xarray/pulls/5622
  • [ ] Requires #4820
  • [ ] 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
 
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931016490 MDExOlB1bGxSZXF1ZXN0Njc4NTc5MjIx 5542 Do not transpose 1d arrays during interpolation Illviljan 14371165 open 0     8 2021-06-27T20:56:13Z 2022-10-12T20:12:11Z   MEMBER   0 pydata/xarray/pulls/5542

Seems a waste of time to transpose 1d arrays.

  • [ ] 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
 
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958878760 MDExOlB1bGxSZXF1ZXN0NzAyMDgwMTg2 5667 Allow .attrs to support any dict-likes Illviljan 14371165 open 0     10 2021-08-03T08:43:19Z 2022-10-12T18:08:25Z   MEMBER   1 pydata/xarray/pulls/5667
  • [x] Closes #5655
  • [ ] 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
 
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930918574 MDExOlB1bGxSZXF1ZXN0Njc4NTA3NDMw 5540 Cache some properties Illviljan 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.
  • [ ] 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.

 
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787732195 MDExOlB1bGxSZXF1ZXN0NTU2MzY2NTcx 4820 Add dataset line plot Illviljan 14371165 open 0     10 2021-01-17T15:40:39Z 2022-06-09T14:50:17Z   MEMBER   1 pydata/xarray/pulls/4820
  • [x] Closes #4235
  • [x] Tests added
  • [x] 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

TODO: * markersize/linewidth should work, easy if linewidth is only defined. But the hue/linewidth combo is trickier. * Possible, see post further down for details. Should be done in dataarray version in a future PR. * hue only works with coordinates. Should it work with variables? How to do that? groupby? * Leave it for coordinates only for now. * Should lines always be sorted to avoid weird lines? * Handled in dataarray version * linewidth not shown anywhere * line plots doesn't have the nice legend_elements function that scatter has which makes it a little bit more tricky. It can still be shown in the legend though.

Adds ds.plot.line. The function wraps ax.plot which should feel pretty homely for most matplotlib users.

It was a mess getting the colorbar to work because scatter returns a mappable that colorbar can handle but plot returns a list of line2ds that it can't handle. You also can't add cmaps directly to ax.plot, so to avoid for loops I changed the default color settings instead.

Feel free to break it.

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