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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
2161133346 PR_kwDOAMm_X85oSZw7 8797 tokenize() should ignore difference between None and {} attrs crusaderky 6213168 closed 0 crusaderky 6213168   1 2024-02-29T12:22:24Z 2024-03-01T11:15:30Z 2024-03-01T03:29:51Z MEMBER   0 pydata/xarray/pulls/8797
  • Closes #8788
 
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2088095900 PR_kwDOAMm_X85kaiOH 8618 Re-enable mypy checks for parse_dims unit tests crusaderky 6213168 closed 0 crusaderky 6213168   1 2024-01-18T11:32:28Z 2024-01-19T15:49:33Z 2024-01-18T15:34:23Z MEMBER   0 pydata/xarray/pulls/8618 
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2079054085 PR_kwDOAMm_X85j77Os 8606 Clean up Dims type annotation crusaderky 6213168 closed 0 crusaderky 6213168   1 2024-01-12T15:05:40Z 2024-01-18T18:14:15Z 2024-01-16T10:26:08Z MEMBER   0 pydata/xarray/pulls/8606   
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1683335751 PR_kwDOAMm_X85PHLmT 7785 Remove pandas<2 pin crusaderky 6213168 closed 0     1 2023-04-25T14:55:12Z 2023-04-26T17:51:53Z 2023-04-25T15:03:10Z MEMBER   0 pydata/xarray/pulls/7785

XREF #7650

 
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1140046499 PR_kwDOAMm_X84y7YhY 6282 Remove xfail from tests decorated by @gen_cluster crusaderky 6213168 closed 0     1 2022-02-16T13:47:56Z 2023-04-25T14:53:35Z 2022-02-16T16:32:35Z MEMBER   0 pydata/xarray/pulls/6282

@gen_cluster has now been fixed upstream.

 
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980223048 MDExOlB1bGxSZXF1ZXN0NzIwNTAxNTkz 5740 Remove ad-hoc handling of NEP18 libraries in CI crusaderky 6213168 closed 0     1 2021-08-26T13:04:36Z 2021-09-04T10:53:39Z 2021-08-31T10:14:35Z MEMBER   0 pydata/xarray/pulls/5740

sparse and pint are mature enough that it is no longer necessary to have a separate CI environment for them.

 
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945560052 MDExOlB1bGxSZXF1ZXN0NjkwODcyNTk1 5610 Fix gen_cluster failures; dask_version tweaks crusaderky 6213168 closed 0     5 2021-07-15T16:26:21Z 2021-07-15T18:04:00Z 2021-07-15T17:25:43Z MEMBER   0 pydata/xarray/pulls/5610
  • fixes one of the issues reported in #5600
  • distributed.utils_test.gen_cluster no longer accepts timeout=None for the sake of robustness
  • deleted ancient dask backwards compatibility code
  • clean up code around dask.__version__
 
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817271773 MDExOlB1bGxSZXF1ZXN0NTgwNzkxNTcy 4965 Support for dask.graph_manipulation crusaderky 6213168 closed 0     1 2021-02-26T11:19:09Z 2021-03-05T09:24:17Z 2021-03-05T09:24:14Z MEMBER   0 pydata/xarray/pulls/4965

Second iteration upon https://github.com/pydata/xarray/pull/4884 CI is currently failing vs. dask git tip because of https://github.com/dask/dask/issues/7263 (unrelated to this PR)

 
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804694945 MDExOlB1bGxSZXF1ZXN0NTcwNDE5NjIz 4884 Compatibility with dask 2021.02.0 crusaderky 6213168 closed 0     0 2021-02-09T16:12:02Z 2021-02-11T18:33:03Z 2021-02-11T18:32:59Z MEMBER   0 pydata/xarray/pulls/4884

Closes #4860 Reverts #4873

Restore compatibility with dask 2021.02.0 by avoiding improper assumptions on the implementation details of da.Array.__dask_postpersist__().

This PR does not align xarray to the new dask collection spec (https://github.com/dask/dask/issues/7093), as I just realized that Datasets violate the rule of having all dask keys with the same name if they contain more than one dask variable - and cannot do otherwise. So I have to change the dask collection spec again to accommodate them.

 
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671216158 MDExOlB1bGxSZXF1ZXN0NDYxNDM4MDIz 4297 Lazily load resource files crusaderky 6213168 closed 0 crusaderky 6213168   4 2020-08-01T21:31:36Z 2020-09-22T05:32:38Z 2020-08-02T07:05:15Z MEMBER   0 pydata/xarray/pulls/4297
  • Marginal speed-up and RAM footprint reduction when not running in Jupyter Notebook
  • Closes #4294
 
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671108068 MDExOlB1bGxSZXF1ZXN0NDYxMzM1NDAx 4296 Increase support window of all dependencies crusaderky 6213168 closed 0 crusaderky 6213168   7 2020-08-01T18:55:54Z 2020-08-14T09:52:46Z 2020-08-14T09:52:42Z MEMBER   0 pydata/xarray/pulls/4296

Closes #4295

Increase width of the sliding window for minimum supported version: - setuptools from 6 months sliding window to hardcoded >= 38.4, and to 42 months sliding window starting from July 2021 - dask and distributed from 6 months sliding window to hardcoded >= 2.9, and to 12 months sliding window starting from January 2021 - all other libraries from 6 months to 12 months sliding window

 
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671561223 MDExOlB1bGxSZXF1ZXN0NDYxNzY2OTA1 4299 Support PyCharm deployment over SSH crusaderky 6213168 closed 0     3 2020-08-02T06:19:09Z 2020-08-03T19:41:36Z 2020-08-03T19:41:29Z MEMBER   0 pydata/xarray/pulls/4299

Fix pip install . when no .git directory exists; namely when the xarray source directory has been rsync'ed by PyCharm Professional for a remote deployment over SSH.

 
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555752381 MDExOlB1bGxSZXF1ZXN0MzY3NjM3MzUw 3724 setuptools-scm (3) crusaderky 6213168 closed 0     3 2020-01-27T18:26:11Z 2020-02-14T12:07:22Z 2020-01-27T18:51:50Z MEMBER   0 pydata/xarray/pulls/3724

Fix https://github.com/pydata/xarray/pull/3714#issuecomment-578626605 @shoyer I have no way of testing if this fixes github - please see by yourself after merging to master.

 
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557020666 MDExOlB1bGxSZXF1ZXN0MzY4Njg4MTAz 3727 Python 3.8 CI crusaderky 6213168 closed 0     6 2020-01-29T17:50:52Z 2020-02-10T09:41:07Z 2020-01-31T15:52:19Z MEMBER   0 pydata/xarray/pulls/3727
  • Run full-fat suite of tests for Python 3.8
  • Move asv, MacOSX tests, readthedocs, binder, and more to Python 3.8
  • Test windows against latest numpy version
  • Windows tests remain on Python 3.7 because of a couple of Python 3.8 tests that fail exclusively in CI. Will investigate later.
 
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557012230 MDExOlB1bGxSZXF1ZXN0MzY4NjgxMjgw 3726 Avoid unsafe use of pip crusaderky 6213168 closed 0     3 2020-01-29T17:33:48Z 2020-01-30T12:23:05Z 2020-01-29T23:39:40Z MEMBER   0 pydata/xarray/pulls/3726

Closes #3725

 
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554662467 MDExOlB1bGxSZXF1ZXN0MzY2Nzc1ODIz 3721 Add isort to CI crusaderky 6213168 closed 0     9 2020-01-24T10:41:54Z 2020-01-30T12:22:53Z 2020-01-28T19:41:52Z MEMBER   0 pydata/xarray/pulls/3721 
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553518018 MDExOlB1bGxSZXF1ZXN0MzY1ODM1MjQ3 3714 setuptools-scm and one-liner setup.py crusaderky 6213168 closed 0     12 2020-01-22T12:46:43Z 2020-01-27T07:42:36Z 2020-01-22T15:40:34Z MEMBER   0 pydata/xarray/pulls/3714
  • Closes #3369
  • Replace versioneer with setuptools-scm
  • Replace setup.py with setup.cfg
  • Drop pytest-runner as instructed by deprecation notice on the project webpage
 
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554647652 MDExOlB1bGxSZXF1ZXN0MzY2NzYzMzQ3 3720 setuptools-scm and isort tweaks crusaderky 6213168 closed 0     2 2020-01-24T10:12:03Z 2020-01-24T15:34:34Z 2020-01-24T15:28:48Z MEMBER   0 pydata/xarray/pulls/3720

Follow-up on https://github.com/pydata/xarray/pull/3714

  • Fix regression in mypy if pip creates a zipped archive
  • Avoid breakage in the extremely unlikely event that setuptools is not installed
  • Guarantee xarray.__version__ to be always PEP440-compatible. This prevents a breakage if you run pandas without xarray installed and with the xarray sources folder in PYTHONPATH.
  • Apply isort to xarray.__init__
 
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551532886 MDExOlB1bGxSZXF1ZXN0MzY0MjM4MTM2 3703 hardcoded xarray.__all__ crusaderky 6213168 closed 0     4 2020-01-17T17:09:45Z 2020-01-18T00:58:06Z 2020-01-17T20:42:25Z MEMBER   0 pydata/xarray/pulls/3703

Closes #3695

 
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551544665 MDExOlB1bGxSZXF1ZXN0MzY0MjQ3NjE3 3705 One-off isort run crusaderky 6213168 closed 0     4 2020-01-17T17:36:10Z 2020-01-17T22:59:26Z 2020-01-17T21:00:24Z MEMBER   0 pydata/xarray/pulls/3705 
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551544199 MDExOlB1bGxSZXF1ZXN0MzY0MjQ3MjQz 3704 Bump mypy to v0.761 crusaderky 6213168 closed 0     1 2020-01-17T17:35:09Z 2020-01-17T22:59:19Z 2020-01-17T18:51:51Z MEMBER   0 pydata/xarray/pulls/3704 
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522935511 MDExOlB1bGxSZXF1ZXN0MzQxMDM3NTg5 3533 2x~5x speed up for isel() in most cases crusaderky 6213168 closed 0     7 2019-11-14T15:34:24Z 2019-12-05T16:45:40Z 2019-12-05T16:39:40Z MEMBER   0 pydata/xarray/pulls/3533

Yet another major improvement for #2799.

Achieve a 2x to 5x boost in isel performance when slicing small arrays by int, slice, list of int, scalar ndarray, or 1-dimensional ndarray.

```python import xarray

da = xarray.DataArray([[1, 2], [3, 4]], dims=['x', 'y']) v = da.variable a = da.variable.values ds = da.to_dataset(name="d")

ds_with_idx = xarray.Dataset({ 'x': [10, 20], 'y': [100, 200], 'd': (('x', 'y'), [[1, 2], [3, 4]]) }) da_with_idx = ds_with_idx.d

before -> after

%timeit a[0] # 121 ns %timeit v[0] # 7 µs %timeit v.isel(x=0) # 10 µs %timeit da[0] # 65 µs -> 15 µs %timeit da.isel(x=0) # 63 µs -> 13 µs %timeit ds.isel(x=0) # 48 µs -> 24 µs %timeit da_with_idx[0] # 209 µs -> 82 µs %timeit da_with_idx.isel(x=0, drop=False) # 135 µs -> 34 µs %timeit da_with_idx.isel(x=0, drop=True) # 101 µs -> 34 µs %timeit ds_with_idx.isel(x=0, drop=False) # 90 µs -> 49 µs %timeit ds_with_idx.isel(x=0, drop=True) # 65 µs -> 49 µs ```

Marked as WIP because this commands running the asv suite to verify there are no regressions for large arrays. (on a separate note, we really need to add the small size cases to asv - as discussed in #3382).

This profoundly alters one of the most important methods in xarray and I must confess it makes me nervous, particularly as I am unsure if the test coverage of DataArray.isel() is as through as that for Dataset.isel().

 
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525689517 MDExOlB1bGxSZXF1ZXN0MzQzMjYxNDg0 3551 Clarify conda environments for new contributors crusaderky 6213168 closed 0     1 2019-11-20T09:47:15Z 2019-11-20T14:50:48Z 2019-11-20T09:47:57Z MEMBER   0 pydata/xarray/pulls/3551
  • [x] Closes #3549
 
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523438384 MDExOlB1bGxSZXF1ZXN0MzQxNDQyMTI4 3537 Numpy 1.18 support crusaderky 6213168 closed 0     13 2019-11-15T12:17:32Z 2019-11-19T14:06:50Z 2019-11-19T14:06:46Z MEMBER   0 pydata/xarray/pulls/3537

Fix mean() and nanmean() for datetime64 arrays on numpy backend when upgrading from numpy 1.17 to 1.18. All other nan-reductions on datetime64s were broken before and remain broken. mean() on datetime64 and dask was broken before and remains broken.

  • [x] Closes #3409
  • [x] Passes black . && mypy . && flake8
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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522780826 MDExOlB1bGxSZXF1ZXN0MzQwOTEwMjQ3 3531 Leave empty slot when not using accessors crusaderky 6213168 closed 0     1 2019-11-14T10:54:55Z 2019-11-15T17:43:57Z 2019-11-15T17:43:54Z MEMBER   0 pydata/xarray/pulls/3531

Save a few bytes and nanoseconds for the overwhelming majority of the users that don't use accessors. Lay the groundwork for potential future use of @pandas.utils.cache_readonly.

xref https://github.com/pydata/xarray/issues/3514

 
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521842949 MDExOlB1bGxSZXF1ZXN0MzQwMTQ1OTg0 3515 Recursive tokenization crusaderky 6213168 closed 0 crusaderky 6213168   1 2019-11-12T22:35:13Z 2019-11-13T00:54:32Z 2019-11-13T00:53:27Z MEMBER   0 pydata/xarray/pulls/3515

After misreading the dask documentation https://docs.dask.org/en/latest/custom-collections.html#deterministic-hashing, I was under the impression that the output of __dask_tokenize__ would be recursively parsed, like it happens for __getstate__ or __reduce__. That's not the case - the output of __dask_tokenize__ is just fed into a str() function so it has to be made explicitly recursive!

 
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510527025 MDExOlB1bGxSZXF1ZXN0MzMwODg1Mzk2 3429 minor lint tweaks crusaderky 6213168 closed 0     4 2019-10-22T09:15:03Z 2019-10-24T12:53:24Z 2019-10-24T12:53:21Z MEMBER   0 pydata/xarray/pulls/3429 
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511869575 MDExOlB1bGxSZXF1ZXN0MzMxOTg2MzUw 3442 pandas-dev workaround crusaderky 6213168 closed 0     0 2019-10-24T10:59:55Z 2019-10-24T11:43:42Z 2019-10-24T11:43:36Z MEMBER   0 pydata/xarray/pulls/3442

Temporary hack around #3440 to get green CI

 
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510974193 MDExOlB1bGxSZXF1ZXN0MzMxMjU4MjQx 3436 MAGA (Make Azure Green Again) crusaderky 6213168 closed 0     3 2019-10-22T22:56:21Z 2019-10-24T09:57:59Z 2019-10-23T01:06:10Z MEMBER   0 pydata/xarray/pulls/3436

Let all CI tests become green again to avoid hindering developers who are working on PRs unrelated to the present incompatibilities (numpy=1.18, cftime=1.0.4, pseudonetcdf=3.1.0).

 
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509655174 MDExOlB1bGxSZXF1ZXN0MzMwMTYwMDQy 3420 Restore crashing CI tests on pseudonetcdf-3.1 crusaderky 6213168 closed 0     5 2019-10-20T21:26:40Z 2019-10-21T01:32:54Z 2019-10-20T22:42:36Z MEMBER   0 pydata/xarray/pulls/3420

Related to #3409

The crashes caused by pseudonetcdf-3.1 are blocking all PRs. Sorry I don't know anything about pseudonetcdf. This PR takes the issue out of the critical path so that whoever knows about the library can deal with it in due time.

 
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506216396 MDExOlB1bGxSZXF1ZXN0MzI3NDg0OTQ2 3395 Annotate LRUCache crusaderky 6213168 closed 0     0 2019-10-12T17:44:43Z 2019-10-12T20:05:36Z 2019-10-12T20:05:33Z MEMBER   0 pydata/xarray/pulls/3395

Very minor type annotations work

 
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503163130 MDExOlB1bGxSZXF1ZXN0MzI1MDc2MzQ5 3375 Speed up isel and __getitem__ crusaderky 6213168 closed 0 crusaderky 6213168   5 2019-10-06T21:27:42Z 2019-10-10T09:21:56Z 2019-10-09T18:01:30Z MEMBER   0 pydata/xarray/pulls/3375

First iterative improvement for #2799.

Speed up Dataset.isel up to 33% and DataArray.isel up to 25% (when there are no indices and the numpy array is small). 15% speedup when there are indices.

Benchmarks can be found in #2799.

 
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500582648 MDExOlB1bGxSZXF1ZXN0MzIzMDIwOTY1 3358 Rolling minimum dependency versions policy crusaderky 6213168 closed 0 crusaderky 6213168   24 2019-09-30T23:50:39Z 2019-10-09T02:02:29Z 2019-10-08T21:23:47Z MEMBER   0 pydata/xarray/pulls/3358

Closes #3222 Closes #3293

  • Drop support for Python 3.5
  • Upgrade numpy to 1.14 (24 months old)
  • Upgrade pandas to 0.24 (12 months old)
  • Downgrade scipy to 1.0 (policy allows for 1.2, but it breaks numpy=1.14)
  • Downgrade dask to 1.2 (6 months old)
  • Other upgrades/downgrades to comply with the policy
  • CI tool to verify that the minimum dependencies requirements in CI are compliant with the policy
  • Overhaul CI environment for readthedocs

Out of scope: - Purge away all OrderedDict's

 
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502530652 MDExOlB1bGxSZXF1ZXN0MzI0NTkyODE1 3373 Lint crusaderky 6213168 closed 0     1 2019-10-04T09:29:46Z 2019-10-04T22:18:48Z 2019-10-04T22:17:57Z MEMBER   0 pydata/xarray/pulls/3373

Minor cosmetic changes

 
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495221393 MDExOlB1bGxSZXF1ZXN0MzE4ODA4Njgy 3318 Allow weakref crusaderky 6213168 closed 0     2 2019-09-18T13:19:09Z 2019-10-03T13:39:35Z 2019-09-18T15:53:51Z MEMBER   0 pydata/xarray/pulls/3318
  • [x] Closes #3317
  • [x] Tests added
  • [x] Passes black . && mypy . && flake8
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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501461219 MDExOlB1bGxSZXF1ZXN0MzIzNzI5Mjkx 3365 Demo: CI offline? crusaderky 6213168 closed 0     0 2019-10-02T12:34:38Z 2019-10-02T17:32:18Z 2019-10-02T17:32:13Z MEMBER   0 pydata/xarray/pulls/3365 
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500777641 MDExOlB1bGxSZXF1ZXN0MzIzMTc1OTk0 3359 Revisit # noqa annotations crusaderky 6213168 closed 0     1 2019-10-01T09:35:15Z 2019-10-01T18:13:59Z 2019-10-01T18:13:56Z MEMBER   0 pydata/xarray/pulls/3359

Revisit all # noqa annotation. Remove useless ones; replace blanket ones with specific error messages. Work around https://github.com/PyCQA/pyflakes/issues/453.

note: # noqa: F811 on the @overload'ed functions works around a pyflakes bug already fixed in git master (https://github.com/PyCQA/pyflakes/pull/435) but not in a release yet, so it has to stay for now.

 
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500912288 MDExOlB1bGxSZXF1ZXN0MzIzMjg1ODgw 3360 WIP: Fix codecov.io upload on Windows crusaderky 6213168 closed 0     1 2019-10-01T13:53:19Z 2019-10-01T15:13:21Z 2019-10-01T14:11:22Z MEMBER   0 pydata/xarray/pulls/3360

Closes #3354

 
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498399866 MDExOlB1bGxSZXF1ZXN0MzIxMzM5MjE1 3346 CI test suites with pinned minimum dependencies crusaderky 6213168 closed 0     2 2019-09-25T16:38:44Z 2019-09-26T09:38:59Z 2019-09-26T09:38:47Z MEMBER   0 pydata/xarray/pulls/3346

Second step towards resolving #3222. Added two suites of CI tests: - Pinned minimum versions for all optional dependencies, except NEP18-dependant ones - Pinned minimum versions for NEP18 optional dependencies - at the moment only sparse; soon also pint (#3238)

All versions are the frozen snapshot of what py36.yml deploys today. This PR ensures that we won't have accidental breakages from this moment on. I made no effort to try downgrading to sensible obsolete versions, as that would require a completely different order of magnitude of work. I would suggest to proceed with the downgrades (and consequent bugfixes) over several small, iterative future PRs that build upon this framework.

 
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497945632 MDExOlB1bGxSZXF1ZXN0MzIwOTgwNzIw 3340 CI environments overhaul crusaderky 6213168 closed 0     7 2019-09-24T22:01:10Z 2019-09-25T01:50:08Z 2019-09-25T01:40:55Z MEMBER   0 pydata/xarray/pulls/3340

Propaedeutic CI work to #3222.

  • py36 and py37 are now identical
  • Many optional dependencies were missing in one test suite or another (see details below)
  • Tests that require hypothesis now always run if hypothesis is installed
  • py37-windows.yml requirements file has been rebuilt starting from py37.yml
  • Sorted requirements files alphabetically for better maintainability
  • Added black. This is not needed by CI, but I personally use these yaml files to deploy my dev environment and I would expect many more developers to do the same. Alternatively, we could go the other way around and remove flake8 from everywhere and mypy from py36 and py37-windows. IMHO the marginal speedup would not be worth the complication.

Added packages to py36.yml (net of changes in order): + black + hypothesis + nc-time-axis + numba + numbagg + pynio (https://github.com/pydata/xarray/issues/3154 seems to be now fixed upstream) + sparse

Added packages to py37.yml (net of changes in order):

  • black
  • cdms2
  • hypothesis
  • iris>=1.10
  • numba (previously implicitly installed from pip by numbagg; now installed from conda)
  • pynio

Added packages to py37-windows.yml (net of changes in order):

  • black
  • bottleneck
  • flake8
  • hypothesis
  • iris>=1.10
  • lxml
  • mypy==0.720
  • numba
  • numbagg
  • pseudonetcdf>=3.0.1
  • pydap
  • sparse
 
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478886013 MDExOlB1bGxSZXF1ZXN0MzA1OTA3Mzk2 3196 One-off isort run crusaderky 6213168 closed 0     5 2019-08-09T09:17:39Z 2019-09-09T08:28:05Z 2019-08-23T20:33:04Z MEMBER   0 pydata/xarray/pulls/3196

A one-off, manually vetted and tweaked isort run

 
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484499801 MDExOlB1bGxSZXF1ZXN0MzEwMzYxOTMz 3250 __slots__ crusaderky 6213168 closed 0     10 2019-08-23T12:16:44Z 2019-08-30T12:13:28Z 2019-08-29T17:14:20Z MEMBER   0 pydata/xarray/pulls/3250

What changes: - Most classes now define __slots__ - removed _initialized property - Enforced checks that all subclasses must also define __slots__. For third-party subclasses, this is for now a DeprecationWarning and should be changed into a hard crash later on. - 22% reduction in RAM usage - 5% performance speedup for a DataArray method that performs a _to_temp_dataset roundtrip

DISCUSS: support for third party subclasses is very poor at the moment (#1097). Should we skip the deprecation altogether?

Performance benchmark: ```python import timeit import psutil import xarray

a = xarray.DataArray([1, 2], dims=['x'], coords={'x': [10, 20]}) RUNS = 10000 t = timeit.timeit("a.roll(x=1, roll_coords=True)", globals=globals(), number=RUNS) print("{:.0f} us".format(t / RUNS * 1e6))

p = psutil.Process() N = 100000 rss0 = p.memory_info().rss x = [ xarray.DataArray([1, 2], dims=['x'], coords={'x': [10, 20]}) for _ in range(N) ] rss1 = p.memory_info().rss print("{:.0f} bytes".format((rss1 - rss0) / N)) ``` Output:

| test | env | master | slots | |:-------------:|:---:|:----------:| ----------:| | DataArray.roll | py35-min | 332 us | 360 us | | DataArray.roll | py37 | 354 us | 337 us | | RAM usage of a DataArray | py35-min | 2755 bytes | 2074 bytes | | RAM usage of a DataArray | py37 | 1970 bytes | 1532 bytes |

The performance degradation on Python 3.5 is caused by the deprecation mechanism - see changes to common.py.

I honestly never realised that xarray objects are measured in kilobytes (vs. 32 bytes of underlying buffers!)

 
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479587855 MDExOlB1bGxSZXF1ZXN0MzA2NDQ4ODIw 3207 Annotations for .data_vars() and .coords() crusaderky 6213168 closed 0     0 2019-08-12T11:08:45Z 2019-08-13T04:01:26Z 2019-08-12T20:49:02Z MEMBER   0 pydata/xarray/pulls/3207 
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479359871 MDExOlB1bGxSZXF1ZXN0MzA2Mjc0MTUz 3203 Match mypy version between CI and pre-commit hook crusaderky 6213168 closed 0     0 2019-08-11T11:30:36Z 2019-08-12T21:03:11Z 2019-08-11T22:32:41Z MEMBER   0 pydata/xarray/pulls/3203

Pre-commit hook is currently failing because of an issue detected by mypy 0.720 but not by mypy 0.650

 
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479359010 MDExOlB1bGxSZXF1ZXN0MzA2MjczNTY3 3202 chunk sparse arrays crusaderky 6213168 closed 0 crusaderky 6213168   4 2019-08-11T11:19:16Z 2019-08-12T21:02:31Z 2019-08-12T21:02:25Z MEMBER   0 pydata/xarray/pulls/3202

Closes #3191

@shoyer I completely disabled wrapping in ImplicitToExplicitIndexingAdapter for sparse arrays, cupy arrays, etc. I'm not sure if it's desirable; the chief problem is that I don't think I understand the purpose of ImplicitToExplicitIndexingAdapter to begin with... some enlightenment would be appreciated.

 
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478891507 MDExOlB1bGxSZXF1ZXN0MzA1OTExODA2 3197 Enforce mypy compliance in CI crusaderky 6213168 closed 0     6 2019-08-09T09:29:55Z 2019-08-11T08:49:02Z 2019-08-10T09:48:33Z MEMBER   0 pydata/xarray/pulls/3197 
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478969353 MDExOlB1bGxSZXF1ZXN0MzA1OTc1NjM4 3198 Ignore example.grib.0112.idx crusaderky 6213168 closed 0     0 2019-08-09T12:47:12Z 2019-08-09T12:49:02Z 2019-08-09T12:48:08Z MEMBER   0 pydata/xarray/pulls/3198

open_dataset("<name>.grib", engine="cfgrib") creates a new file in the same directory called <name>.grib.<numbers>.idx

 
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477814538 MDExOlB1bGxSZXF1ZXN0MzA1MDYyMzUw 3190 pyupgrade one-off run crusaderky 6213168 closed 0     2 2019-08-07T09:32:57Z 2019-08-09T08:50:22Z 2019-08-07T17:26:01Z MEMBER   0 pydata/xarray/pulls/3190

A one-off, manually vetted and tweaked run of pyupgrade

 
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476218350 MDExOlB1bGxSZXF1ZXN0MzAzODE4ODg3 3177 More annotations crusaderky 6213168 closed 0     6 2019-08-02T14:49:50Z 2019-08-09T08:50:13Z 2019-08-06T01:19:36Z MEMBER   0 pydata/xarray/pulls/3177 
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466886456 MDExOlB1bGxSZXF1ZXN0Mjk2NjQ1MTgy 3095 Fix regression: IndexVariable.copy(deep=True) casts dtype=U to object crusaderky 6213168 closed 0     6 2019-07-11T13:16:16Z 2019-08-02T14:37:52Z 2019-08-02T14:02:50Z MEMBER   0 pydata/xarray/pulls/3095
  • [x] Closes #3094
  • [x] Tests added
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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475571573 MDExOlB1bGxSZXF1ZXN0MzAzMjk0OTEx 3173 Fix distributed.Client.compute applied to DataArray crusaderky 6213168 closed 0     1 2019-08-01T09:22:39Z 2019-08-02T05:04:51Z 2019-08-01T21:43:11Z MEMBER   0 pydata/xarray/pulls/3173
  • [x] Closes #3171
  • [x] Tests added
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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467756080 MDExOlB1bGxSZXF1ZXN0Mjk3MzQwNTEy 3112 More annotations in Dataset crusaderky 6213168 closed 0     10 2019-07-13T19:06:49Z 2019-08-01T10:41:51Z 2019-07-31T17:48:00Z MEMBER   0 pydata/xarray/pulls/3112 
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466765652 MDExOlB1bGxSZXF1ZXN0Mjk2NTQ1MjA4 3093 Increase minimum Python version to 3.5.3 crusaderky 6213168 closed 0     2 2019-07-11T09:12:02Z 2019-07-13T23:54:48Z 2019-07-13T21:58:31Z MEMBER   0 pydata/xarray/pulls/3093

Closes #3089

 
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466004569 MDExOlB1bGxSZXF1ZXN0Mjk1OTM1Nzg2 3090 WIP: more annotations crusaderky 6213168 closed 0     3 2019-07-09T22:02:44Z 2019-07-11T08:40:34Z 2019-07-11T04:20:56Z MEMBER   0 pydata/xarray/pulls/3090 
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442159309 MDExOlB1bGxSZXF1ZXN0Mjc3MzMxMjQx 2950 Base classes in Python 3 don't need to subclass object crusaderky 6213168 closed 0     3 2019-05-09T10:14:38Z 2019-07-09T20:06:21Z 2019-05-09T16:01:37Z MEMBER   0 pydata/xarray/pulls/2950
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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462401539 MDExOlB1bGxSZXF1ZXN0MjkzMTAxODQx 3065 kwargs.pop() cleanup crusaderky 6213168 closed 0     7 2019-06-30T12:47:07Z 2019-07-09T20:06:13Z 2019-07-01T01:58:50Z MEMBER   0 pydata/xarray/pulls/3065

  • Clean up everywhere the pattern def my_func(*args, **kwargs): my_optional_arg = kwargs.pop('my_optional_arg', None) which was inherited from not being able to put named keyword arguments after *args in Python 2.

  • Fix bug in SplineInterpolator where the __init__ method would write to the class attributes of BaseInterpolator.

  • map_dataarray was unintentionally and subtly relying on _process_cmap_cbar_kwargs to modify the kwargs in place. _process_cmap_cbar_kwargs is now strictly read-only and the modifications in kwargs have been made explicit in the caller function.
  • Rename all 'kwds' to 'kwargs' for sake of coherency
 
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464929212 MDExOlB1bGxSZXF1ZXN0Mjk1MDg4MjMx 3088 More annotations crusaderky 6213168 closed 0     3 2019-07-07T08:40:15Z 2019-07-09T20:04:37Z 2019-07-09T16:23:12Z MEMBER   0 pydata/xarray/pulls/3088

A little incremental addition to type annotations. By no means complete, but it should be ready for merge in its own right nonetheless.

 
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438421176 MDExOlB1bGxSZXF1ZXN0Mjc0NDU1ODQz 2929 Typing for DataArray/Dataset crusaderky 6213168 closed 0     25 2019-04-29T17:19:35Z 2019-06-30T10:08:39Z 2019-06-25T22:03:40Z MEMBER   0 pydata/xarray/pulls/2929

Status: * I'm generally not pleased with the amount of added verbosity. Happy to accept suggestions on how to improve. * Switching all variable names from str to Hashable. Without proper unit tests however (out of scope) non-string hashables are expected not to work most of the times. My preference would still be to stay limited on str... * DataArray done. * Dataset not done (except where it was hindering DataArray). * mypy passes with the only error "Mapping[...]" has no attribute "copy". This is due to the fact that I can't see a way to use typing.OrderedDict without breaking compatibility with python < 3.7.2. * py.test should be successful

@shoyer any early feedback is appreciated

 
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430214243 MDExOlB1bGxSZXF1ZXN0MjY4MTUyODIw 2877 WIP: type annotations crusaderky 6213168 closed 0     12 2019-04-08T00:55:31Z 2019-04-24T14:54:07Z 2019-04-10T18:41:50Z MEMBER   0 pydata/xarray/pulls/2877

Fixes #2869

 
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328734143 MDExOlB1bGxSZXF1ZXN0MTkyMTkyMDYw 2212 Trivial documentation fix crusaderky 6213168 closed 0     1 2018-06-02T10:47:20Z 2018-06-07T23:49:44Z 2018-06-02T12:15:33Z MEMBER   0 pydata/xarray/pulls/2212 
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324066244 MDExOlB1bGxSZXF1ZXN0MTg4NzY5OTUx 2150 WIP: Fix regression in to_netcdf encoding parameter crusaderky 6213168 closed 0     0 2018-05-17T15:09:16Z 2018-06-02T10:06:11Z 2018-06-02T10:06:11Z MEMBER   0 pydata/xarray/pulls/2150

Fixes #2149 DONE: unit tests triggering the issue. The new tests are all successful against 0.10.3. TODO: actual bugfix

 
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320443090 MDExOlB1bGxSZXF1ZXN0MTg2MTEzNzM5 2106 xarray.dot to pass **kwargs to einsum crusaderky 6213168 closed 0     3 2018-05-04T22:01:04Z 2018-05-17T13:54:41Z 2018-05-14T21:06:38Z MEMBER   0 pydata/xarray/pulls/2106

Late addition to #2089

 
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297631403 MDExOlB1bGxSZXF1ZXN0MTY5NTEyMjU1 1915 h5netcdf new API support crusaderky 6213168 closed 0     13 2018-02-15T23:15:55Z 2018-05-11T23:49:00Z 2018-05-08T02:25:40Z MEMBER   0 pydata/xarray/pulls/1915

Closes #1536

Support arbitrary compression plugins through the h5netcdf new API.

Done: - public API and docstrings (untested) - implementation - unit tests - What's New

 
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318574154 MDExOlB1bGxSZXF1ZXN0MTg0NzQ2MTgy 2089 xarray.dot is now based on da.einsum crusaderky 6213168 closed 0     3 2018-04-27T23:09:32Z 2018-05-04T21:51:01Z 2018-05-04T21:51:00Z MEMBER   0 pydata/xarray/pulls/2089

Closes #2074 Requires dask >= 0.17.3

 
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254841785 MDExOlB1bGxSZXF1ZXN0MTM5MDI5NzMx 1551 Load nonindex coords ahead of concat() crusaderky 6213168 closed 0   0.10 2415632 7 2017-09-02T23:19:03Z 2017-10-09T23:32:50Z 2017-10-09T21:15:31Z MEMBER   0 pydata/xarray/pulls/1551
  • [x] Closes #1521
  • [x] Tests added / passed
  • [x] Passes git diff upstream/master | flake8 --diff
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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260101264 MDExOlB1bGxSZXF1ZXN0MTQyNzYyOTA4 1590 Dataset.copy() to preserve encoding crusaderky 6213168 closed 0     2 2017-09-24T17:33:39Z 2017-10-09T20:55:56Z 2017-10-08T16:01:20Z MEMBER   0 pydata/xarray/pulls/1590
  • [x] Closes #1586
  • [x] Tests added / passed
  • [x] Passes git diff upstream/master | flake8 --diff
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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260098491 MDExOlB1bGxSZXF1ZXN0MTQyNzYxMzI1 1589 Fix concat of mixed numpy and dask arrays crusaderky 6213168 closed 0     2 2017-09-24T16:48:12Z 2017-10-09T20:55:41Z 2017-09-25T00:55:36Z MEMBER   0 pydata/xarray/pulls/1589
  • [x] Closes #1588
  • [x] Tests added / passed
  • [x] Passes git diff upstream/master | flake8 --diff
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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253349435 MDExOlB1bGxSZXF1ZXN0MTM3OTYwNDEw 1532 Avoid computing dask variables on __repr__ and __getattr__ crusaderky 6213168 closed 0   0.10 2415632 8 2017-08-28T14:37:20Z 2017-09-21T22:30:02Z 2017-09-21T20:55:43Z MEMBER   0 pydata/xarray/pulls/1532
  • [x] Fixes #1522
  • [x] Tests added / passed
  • [x] Passes git diff upstream/master | flake8 --diff
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API

Stop dataset data vars and non-index dataset/dataarray coords from being loaded by repr() and getattr(). The latter is particularly acute when working in Jupyter, which does a dozen or so getattr() when printing an object.

 
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189544925 MDExOlB1bGxSZXF1ZXN0OTM4NzYxMTY= 1124 full_like, zeros_like, ones_like crusaderky 6213168 closed 0     5 2016-11-16T00:10:03Z 2016-11-28T03:42:47Z 2016-11-28T03:42:39Z MEMBER   0 pydata/xarray/pulls/1124

New top-level functions. Fixes #1102

 
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180451196 MDExOlB1bGxSZXF1ZXN0ODc1OTkxMDA= 1024 Disable automatic cache with dask crusaderky 6213168 closed 0     22 2016-10-01T11:08:24Z 2016-11-16T19:33:08Z 2016-11-14T16:56:44Z MEMBER   0 pydata/xarray/pulls/1024

Disabled auto-caching on dask; new .compute() method

Fixes #902

 
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179099875 MDExOlB1bGxSZXF1ZXN0ODY2NTc3Njc= 1018 Disabled auto-caching on dask; new .compute() method crusaderky 6213168 closed 0     3 2016-09-25T18:14:51Z 2016-10-01T11:08:49Z 2016-10-01T11:02:13Z MEMBER   0 pydata/xarray/pulls/1018

Disabled auto-caching dask arrays when pickling and when invoking the .values property. Added new method .compute() to Variable, DataArray and Dataset.

 
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180351845 MDExOlB1bGxSZXF1ZXN0ODc1Mjg4Mzc= 1023 Applying broadcast() to an xarray object based on the dask backend wo… crusaderky 6213168 closed 0     1 2016-09-30T16:52:42Z 2016-09-30T18:02:29Z 2016-09-30T18:02:27Z MEMBER   0 pydata/xarray/pulls/1023

…n't accidentally convert the array from dask to numpy anymore

 
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180336128 MDExOlB1bGxSZXF1ZXN0ODc1MTczMzM= 1022 Dask broadcast crusaderky 6213168 closed 0     1 2016-09-30T15:41:33Z 2016-09-30T16:52:52Z 2016-09-30T16:52:52Z MEMBER   0 pydata/xarray/pulls/1022

Applying broadcast() to an xarray object based on the dask backend won't accidentally convert the array from dask to numpy anymore

 
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172287768 MDExOlB1bGxSZXF1ZXN0ODIwODc4NTU= 977 sync to upstream crusaderky 6213168 closed 0     0 2016-08-20T19:53:31Z 2016-08-20T19:53:53Z 2016-08-20T19:53:53Z MEMBER   0 pydata/xarray/pulls/977 
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170744285 MDExOlB1bGxSZXF1ZXN0ODEwMjkzMDc= 963 Align broadcast crusaderky 6213168 closed 0     4 2016-08-11T20:55:29Z 2016-08-14T23:25:02Z 2016-08-14T23:24:15Z MEMBER   0 pydata/xarray/pulls/963
  • Removed partial_align()
  • Added exclude and indexes optional parameters to align() public API
  • Added exclude optional parameter to broadcast() public API
  • Added various unit tests to check that align() and broadcast() do not perform needless data copies
  • broadcast() to automatically align inputs

Note: there is a failed unit test, TestDataset.test_broadcast_nocopy, which shows broadcast on dataset doing a data copy whereas it shouldn't. Could you look into it?

 
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