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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
1474717029 PR_kwDOAMm_X85EPeqM 7353 Add python 3.11 to CI Illviljan 14371165 closed 0     9 2022-12-04T11:12:01Z 2024-03-13T21:43:10Z 2023-05-28T09:58:40Z MEMBER   1 pydata/xarray/pulls/7353

Waiting on: - https://github.com/numba/numba/issues/8304 - https://github.com/numba/numba/issues/8841 - https://github.com/zarr-developers/numcodecs/issues/377 - https://github.com/Unidata/netcdf4-python/issues/1204 - https://github.com/h5py/h5py/issues/2146

  • [ ] Closes #7316
  • [ ] Tests added
  • [ ] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [ ] New functions/methods are listed in api.rst

Feel free to push to this PR if you want.

 
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     xarray 13221727 pull
1761952309 PR_kwDOAMm_X85TQlL1 7925 Remove hue_style from plot1d docstring Illviljan 14371165 closed 0     9 2023-06-17T18:33:11Z 2024-03-13T21:40:43Z 2023-07-13T23:17:48Z MEMBER   0 pydata/xarray/pulls/7925
  • [x] Closes #7907
  • [x] Closes #7908
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst
 
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     xarray 13221727 pull
1936840711 PR_kwDOAMm_X85cdvXs 8294 Use shape and dtype as typevars in NamedArray Illviljan 14371165 closed 0     9 2023-10-11T05:08:32Z 2023-12-12T20:41:29Z 2023-10-18T06:22:52Z MEMBER   0 pydata/xarray/pulls/8294

Using a different TypeVar strategy compared to #8281. The idea here is to typevar shape and dtype instead, just like numpy does.

Previously I tried to use the _data array as the TypeVar but that causes all kinds of issues since TypeVar is usually invariant and can't be updated to a new type. Since the dtype changes very frequently when doing array operations it quickly gets difficult to pass along the correct typing.

  • This PR adds a from_array function. The intention is to use that function to create NamedArrays when you are passing around ArrayLikes. The init for NamedArray will now just assume the input data is correct. At runtime at least, mypy will catch any non-supported array types. There's some precedent to this:
  • numpy.array_api.Array forces to use xp.asarray.
  • Cubed assumes the inputs are correct. Has a xp.asarray and a from_array function.
  • The ugly fastpath argument is therefore not needed.
  • Adds a bunch of type hint classes, duckarray[ShapeType, DType] (corresponding to np.ndarray) or DuckArray[ScalarType] (corresponding to np.typing.NDArray) are the recommended ones.
  • It's better to use these kinds of classes over creating is_duck_array functions with typeguards because isinstance also works on the else clause.

  • This PR adds some array_api functions, the idea here is that NamedArray could also be array_api compliant.

  • [x] Tests added

  • [x] Closes #8291

References: https://github.com/tomwhite/cubed/blob/ea885193dd37d27917a24878b51bb086aaef5fb1/cubed/core/ops.py#L34 https://stackoverflow.com/questions/74633074/how-to-type-hint-a-generic-numpy-array https://numpy.org/doc/stable/reference/arrays.scalars.html#scalars https://github.com/numpy/numpy/blob/040ed2dc9847265c581a342301dd87d2b518a3c2/numpy/init.pyi#L1423 https://github.com/numpy/numpy/blob/040ed2dc9847265c581a342301dd87d2b518a3c2/numpy/_typing/_array_like.py#L32 https://stackoverflow.com/questions/69186176/determine-if-subclass-has-a-base-classs-method-implemented-in-python

 
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     xarray 13221727 pull
1020353782 PR_kwDOAMm_X84s6KU4 5844 Add python 3.10 to CI Illviljan 14371165 closed 0     9 2021-10-07T18:49:43Z 2022-08-12T09:05:25Z 2022-01-21T17:06:43Z MEMBER   0 pydata/xarray/pulls/5844

Waiting on * https://github.com/ContinuumIO/anaconda-issues/issues/12669 * https://github.com/conda/conda/pull/10970 * https://github.com/conda-forge/python-feedstock/pull/511 * https://github.com/conda-forge/numba-feedstock/pull/86 * https://github.com/pydap/pydap/pull/210

  • [ ] 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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     xarray 13221727 pull
823955593 MDExOlB1bGxSZXF1ZXN0NTg2MjgwNjEw 5008 Allow dataset interpolation with different datatypes Illviljan 14371165 closed 0     9 2021-03-07T16:21:37Z 2021-05-25T12:57:30Z 2021-05-13T15:28:16Z MEMBER   0 pydata/xarray/pulls/5008

Allow different datatypes (in particular booleans) to be interpolated instead of dropping them.

  • [x] Requires #4740.
  • [x] Closes #4761
  • [x] Tests added
  • [x] Passes pre-commit run --all-files
 
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892421264 MDExOlB1bGxSZXF1ZXN0NjQ1MTI4NjQ4 5315 Use _unstack_once for valid dask and sparse versions Illviljan 14371165 closed 0     9 2021-05-15T11:42:57Z 2021-05-18T18:13:50Z 2021-05-17T22:49:18Z MEMBER   0 pydata/xarray/pulls/5315
  • [x] Requires #5314
  • [x] Passes pre-commit run --all-files
 
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     xarray 13221727 pull

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