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  • xarray 31
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
2105738254 PR_kwDOAMm_X85lVsgz 8680 use ruff.flake8-tidy-imports to enforce absolute imports mathause 10194086 closed 0     1 2024-01-29T15:19:34Z 2024-01-30T16:42:46Z 2024-01-30T16:38:48Z MEMBER   0 pydata/xarray/pulls/8680

use ruff.flake8-tidy-imports to enforce absolute imports

  • https://github.com/MarcoGorelli/absolufy-imports has been archived (no reason given)
  • removes a pre-commit hook which should make it faster locally
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    xarray 13221727 pull
2097971637 PR_kwDOAMm_X85k789- 8649 ruff: use extend-exclude mathause 10194086 closed 0     1 2024-01-24T10:39:46Z 2024-01-24T18:32:20Z 2024-01-24T15:59:11Z MEMBER   0 pydata/xarray/pulls/8649

I think we should use extend-exclude instead of exclude for ruff. We can then also remove ".eggs" as this is in the default.

From https://docs.astral.sh/ruff/settings/#exclude:

Note that you'll typically want to use extend-exclude to modify the excluded paths.

Default value: [".bzr", ".direnv", ".eggs", ".git", ".git-rewrite", ".hg", ".mypy_cache", ".nox", ".pants.d", ".pytype", ".ruff_cache", ".svn", ".tox", ".venv", "__pypackages__", "_build", "buck-out", "build", "dist", "node_modules", "venv"]

(I really dislike how github formats toml files... What would be the correct syntax, then?)

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    xarray 13221727 pull
2070895451 PR_kwDOAMm_X85jf-2J 8600 fix and test empty CFTimeIndex mathause 10194086 closed 0     1 2024-01-08T17:11:43Z 2024-01-17T12:29:11Z 2024-01-15T21:49:34Z MEMBER   0 pydata/xarray/pulls/8600
  • [x] Closes #7298
  • [x] Tests added
  • [ ] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [ ] New functions/methods are listed in api.rst

Otherwise da.indexes and the html repr raise a ValueError. I first had "<undefined>" but I think None is better. cc @spencerkclark @keewis

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    xarray 13221727 pull
2070561434 PR_kwDOAMm_X85je1rK 8598 small string fixes mathause 10194086 closed 0     1 2024-01-08T14:20:56Z 2024-01-08T16:59:27Z 2024-01-08T16:53:00Z MEMBER   0 pydata/xarray/pulls/8598
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1917660013 PR_kwDOAMm_X85bc7Pv 8246 update pytest config and un-xfail some tests mathause 10194086 closed 0     1 2023-09-28T14:21:58Z 2023-09-30T01:26:39Z 2023-09-30T01:26:35Z MEMBER   0 pydata/xarray/pulls/8246
  • [ ] Towards #8239
  • [ ] Tests added
  • [ ] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [ ] New functions/methods are listed in api.rst

This partly updates the pytest config as suggested in #8239 and un-xfails some tests (or xfails the tests more precisely).

See https://github.com/pydata/xarray/issues/8239#issuecomment-1739363809 for why we cannot exactly follow the suggestions given in #8239

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1466191758 PR_kwDOAMm_X85Dylku 7326 fix doctests: supress urllib3 warning mathause 10194086 closed 0     1 2022-11-28T10:40:46Z 2022-12-05T20:11:16Z 2022-11-28T19:31:03Z MEMBER   0 pydata/xarray/pulls/7326
  • [x] Closes #7322
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    xarray 13221727 pull
1118802352 PR_kwDOAMm_X84xzhTi 6212 better warning filter for assert_* mathause 10194086 closed 0     1 2022-01-31T00:22:37Z 2022-09-05T07:52:09Z 2022-09-05T07:52:06Z MEMBER   0 pydata/xarray/pulls/6212

In #4864 I added a a decorator for the xarray.testing.assert_* functions to ensure warnings that were to errors (pytest.mark.filterwarnings("error")) do not error in assert_* (see https://github.com/pydata/xarray/pull/4760#issuecomment-774101639). As a solution I added

https://github.com/pydata/xarray/blob/5470d933452d88deb17cc9294a164c4a03f55dec/xarray/testing.py#L32

However, this is sub-optimal because this now removes all ignore filters! As dask stuff only gets evaluated in assert_* filters like warnings.filterwarnings("ignore", "Mean of empty slice") don't work for dask arrays!

I thought of setting

python warnings.simplefilter("ignore")

but this could suppress warnings we want to keep.

So now I remove all "error" warning filters and keep the rest. Note that the original filters get restored after with warnings.catch_warnings():. ().


I am not sure I expressed myself very clearly... let me know and I can try again. @keewis you had a look at #4864 maybe you can review this PR as well?

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1355361572 PR_kwDOAMm_X84-Brev 6966 enable pydap in tests again mathause 10194086 closed 0     1 2022-08-30T08:18:07Z 2022-09-01T10:16:05Z 2022-09-01T10:16:03Z MEMBER   0 pydata/xarray/pulls/6966

5844 excluded pydap from our tests - but the new version has been released in the meantime (on conda not on pypi, though, pydap/pydap#268) - so let's see if this still works.

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1125661464 PR_kwDOAMm_X84yJ3Rz 6248 test bottleneck master in upstream CI [test-upstream] [skip-ci] mathause 10194086 closed 0     1 2022-02-07T08:25:35Z 2022-02-07T09:05:28Z 2022-02-07T09:05:24Z MEMBER   0 pydata/xarray/pulls/6248
  • [x] Closes #6186

pydata/bottleneck#378 was merged - so this should work again.

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1118836906 PR_kwDOAMm_X84xzojx 6213 fix or suppress test warnings mathause 10194086 closed 0     1 2022-01-31T01:34:20Z 2022-02-01T09:40:15Z 2022-02-01T09:40:11Z MEMBER   0 pydata/xarray/pulls/6213

Fixes or suppresses a number of warnings that turn up in our upstream CI.

pd.Index.is_monotonic is an alias for pd.Index.is_monotonic_increasing and does not stand for pd.Index.is_monotonic_increasing or pd.Index.is_monotonic_decreasing.

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1088419434 PR_kwDOAMm_X84wQ-nD 6107 is_dask_collection: micro optimization mathause 10194086 closed 0     1 2021-12-24T15:04:42Z 2022-01-26T08:41:28Z 2021-12-29T16:27:55Z MEMBER   0 pydata/xarray/pulls/6107

In #6096 I realized that DuckArrayModule("dask") is called a lot in our tests - 145'835 times. Most of those are from is_dask_collection (is_duck_dask_array) This change avoids that the instance needs to be built every time.

```python import xarray as xr

%timeit xr.core.pycompat.DuckArrayModule("dask").available %timeit xr.core.pycompat.dsk.available ```

18.9 µs ± 97.7 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each) 77.1 ns ± 1.22 ns per loop (mean ± std. dev. of 7 runs, 10000000 loops each)

Which leads to an incredible speed up of our tests of about 2.7 s :grin: ((18.9 - 0.0771) * 145835 / 1e6).

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    xarray 13221727 pull
1107431006 PR_kwDOAMm_X84xOsZX 6171 unpin dask again mathause 10194086 closed 0     1 2022-01-18T22:37:31Z 2022-01-26T08:41:02Z 2022-01-18T23:39:12Z MEMBER   0 pydata/xarray/pulls/6171
  • dask 2022.01 is out, so we can remove the pin
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877166445 MDExOlB1bGxSZXF1ZXN0NjMxMTcwNzI4 5265 Warn ignored keep attrs mathause 10194086 closed 0     1 2021-05-06T07:20:16Z 2021-10-18T14:06:37Z 2021-05-06T16:31:05Z MEMBER   0 pydata/xarray/pulls/5265
  • [x] Part of #4513
  • [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 PR warns when passing keep_attrs to resample(..., keep_attrs=True) and rolling_exp(..., keep_attrs=True) as they have no effect (rightfully). Also removes keep_attrs from the docstring of resample.

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794344392 MDExOlB1bGxSZXF1ZXN0NTYxODc2OTg5 4845 iris update doc url mathause 10194086 closed 0     1 2021-01-26T15:51:18Z 2021-10-18T14:06:31Z 2021-01-26T17:30:20Z MEMBER   0 pydata/xarray/pulls/4845

iris moved its documentation to https://scitools-iris.readthedocs.io/en/stable/

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684430261 MDExOlB1bGxSZXF1ZXN0NDcyMzE4MzUw 4371 mention all ignored flake8 errors mathause 10194086 closed 0     1 2020-08-24T07:17:03Z 2021-10-18T14:06:18Z 2020-08-24T10:45:05Z MEMBER   0 pydata/xarray/pulls/4371

and put the comment on the same line

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913958248 MDExOlB1bGxSZXF1ZXN0NjYzOTE2NDQw 5451 Silence some test warnings mathause 10194086 closed 0     1 2021-06-07T21:12:50Z 2021-06-09T17:55:48Z 2021-06-09T17:27:21Z MEMBER   0 pydata/xarray/pulls/5451

Silences a number of warnings that accumulated in our test suite (c.f. #3266). The changes are mostly unrelated but small.

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819884612 MDExOlB1bGxSZXF1ZXN0NTgyOTE5ODUy 4982 pin netCDF4=1.5.3 in min-all-deps mathause 10194086 closed 0     1 2021-03-02T10:36:18Z 2021-03-08T09:10:20Z 2021-03-08T00:20:38Z MEMBER   0 pydata/xarray/pulls/4982
  • [x] Closes #4970

The clean thing here would be to update min_deps_check.py so it works properly for this case. I am not sure it's really worth it.

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811379942 MDExOlB1bGxSZXF1ZXN0NTc1OTE3NjYz 4923 [skip-ci] doc: fix pynio warning mathause 10194086 closed 0     1 2021-02-18T19:09:00Z 2021-02-18T19:23:23Z 2021-02-18T19:23:20Z MEMBER   0 pydata/xarray/pulls/4923

Small doc fix, see http://xarray.pydata.org/en/stable/io.html#formats-supported-by-pynio (the ..note:: did not get picked up)

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803760517 MDExOlB1bGxSZXF1ZXN0NTY5NjM1MTIx 4883 update pre-commit hooks (mypy) mathause 10194086 closed 0     1 2021-02-08T17:13:07Z 2021-02-08T17:47:18Z 2021-02-08T17:42:41Z MEMBER   0 pydata/xarray/pulls/4883

mypy v0.800 was ignoring our config (https://github.com/pydata/xarray/pull/4874#issuecomment-774771523)... Adding an (empty) [mypy] section to setup.cfg seems to do the trick, this is in contrast to the documentation and may get changed again (c.f. python/mypy#9940), but it does not hurt either.

@keewis

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778022297 MDExOlB1bGxSZXF1ZXN0NTQ4MTg2MzYw 4759 coords: retain str dtype mathause 10194086 closed 0     1 2021-01-04T11:17:53Z 2021-01-13T17:18:28Z 2021-01-13T17:09:06Z MEMBER   0 pydata/xarray/pulls/4759
  • [x] Closes #2658, closes #4543
  • [x] Tests added
  • [x] Passes isort . && black . && mypy . && flake8
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst

pd.Index("a") has dtype object. Therefore string coords change their dtype on certain operations - e.g. align, __setitem__ (& assign), IndexVariable.concat. This can be avoided by using the coords instead of the index in some cases but in two instances it was unavoidable to cast a pd.Index back to a np.array. I probably did not catch all of these conversions.

What I am not sure: does this somehow contradict the index refactor?

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745628177 MDExOlB1bGxSZXF1ZXN0NTIzMTU5MTYz 4590 suppress 'ambiguous reference date string' warning mathause 10194086 closed 0     1 2020-11-18T12:44:52Z 2020-12-13T13:16:55Z 2020-11-19T16:46:39Z MEMBER   0 pydata/xarray/pulls/4590

Follow up to #4506

Suppress some "Ambiguous reference date string" warnings. See e.g.: https://dev.azure.com/xarray/xarray/_build/results?buildId=4233&view=logs&j=2280efed-fda1-53bd-9213-1fa8ec9b4fa8&t=175181ee-1928-5a6b-f537-168f7a8b7c2d&l=361

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752959867 MDExOlB1bGxSZXF1ZXN0NTI5MTM5MjQ1 4617 weighted: de-parameterize tests mathause 10194086 closed 0     1 2020-11-29T17:01:36Z 2020-12-01T09:06:34Z 2020-12-01T09:06:31Z MEMBER   0 pydata/xarray/pulls/4617

I feel I overdid it a bit with the parameterizations of the weighted tests. This brings the number of tests of test_weighted.py from about 1000 down to less than 200 without changing the coverage.

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749724093 MDExOlB1bGxSZXF1ZXN0NTI2NDkzNTUy 4606 update sphinx to v3.3 mathause 10194086 closed 0     1 2020-11-24T13:51:31Z 2020-11-24T15:02:00Z 2020-11-24T14:52:10Z MEMBER   0 pydata/xarray/pulls/4606
  • [x] Closes #4487

Thanks for the pointer @keewis. Let's see if this works.

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742479353 MDExOlB1bGxSZXF1ZXN0NTIwNjA1NDUy 4581 update mypy to 0.790 mathause 10194086 closed 0     1 2020-11-13T14:14:51Z 2020-11-13T20:09:17Z 2020-11-13T19:38:06Z MEMBER   0 pydata/xarray/pulls/4581
  • [x] Closes #4571
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738893294 MDExOlB1bGxSZXF1ZXN0NTE3NjUwMjk1 4568 pd.Index: replace set operations mathause 10194086 closed 0     1 2020-11-09T10:18:32Z 2020-11-09T21:26:44Z 2020-11-09T19:08:36Z MEMBER   0 pydata/xarray/pulls/4568
  • [x] Closes #4565
  • [x] Passes isort . && black . && mypy . && flake8
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst

Pandas will change pd.Index.__or__ and pd.Index.__and__. Use pd.Index.union and pd.Index.intersection inseated. There should be no change in functionality.

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731209147 MDExOlB1bGxSZXF1ZXN0NTExMzYxMTYz 4546 maint: pandas can now index with np.timedelta64 mathause 10194086 closed 0     1 2020-10-28T08:11:20Z 2020-10-30T14:04:20Z 2020-10-30T10:32:50Z MEMBER   0 pydata/xarray/pulls/4546

pandas-dev/pandas#20393 was resolved in pandas version 0.23, so this should no longer be necessary. The relevant test is

https://github.com/pydata/xarray/blob/063606b90946d869e90a6273e2e18ed24bffb052/xarray/tests/test_dataarray.py#L955-L957

so let's see if this passes

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    xarray 13221727 pull
724019666 MDExOlB1bGxSZXF1ZXN0NTA1NDgxOTU1 4520 doc.yml: pin eccodes mathause 10194086 closed 0     1 2020-10-18T14:30:04Z 2020-10-18T17:48:04Z 2020-10-18T15:29:47Z MEMBER   0 pydata/xarray/pulls/4520

Fixes the failing doc builds, see #4521

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718926885 MDExOlB1bGxSZXF1ZXN0NTAxMjA2Mjk5 4503 combine_by_coords: error on differing calendars mathause 10194086 closed 0     1 2020-10-11T21:06:37Z 2020-10-13T07:03:37Z 2020-10-13T07:03:24Z MEMBER   0 pydata/xarray/pulls/4503
  • [x] Closes #4495
  • [x] Tests added
  • [x] Passes isort . && black . && mypy . && flake8
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [ ] New functions/methods are listed in api.rst

Let's see if all tests pass or if the numeric_only keyword is new in pandas.

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    xarray 13221727 pull
715012735 MDExOlB1bGxSZXF1ZXN0NDk3OTk0MDM5 4488 unpin matplotlib for docs again mathause 10194086 closed 0     1 2020-10-05T17:06:07Z 2020-10-06T14:43:54Z 2020-10-06T14:43:50Z MEMBER   0 pydata/xarray/pulls/4488
  • [x] Closes #4342

mpl 3.3.2 is out so we can try to unpin the version of the docs again. #4313

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    xarray 13221727 pull
679852412 MDExOlB1bGxSZXF1ZXN0NDY4NTE1NTMz 4346 annotate concat mathause 10194086 closed 0     1 2020-08-16T23:52:14Z 2020-08-19T20:32:42Z 2020-08-19T20:32:37Z MEMBER   0 pydata/xarray/pulls/4346
  • [x] Closes #4238
  • [x] Passes isort . && black . && mypy . && flake8
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst

The issue mentions xr.Dataset.to_dataframe and xr.concat. xr.Dataset.to_dataframe was annotated in #4333, so only xr.concat is left.

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    xarray 13221727 pull
84105613 MDExOlB1bGxSZXF1ZXN0MzY3NTA1NTM= 421 allow 'nearest' slice indexing mathause 10194086 closed 0     1 2015-06-02T16:56:45Z 2015-06-12T22:10:03Z 2015-06-12T22:10:03Z MEMBER   0 pydata/xarray/pulls/421

see #418

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    xarray 13221727 pull

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