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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
2278499376 PR_kwDOAMm_X85uhFke 8997 Zarr: Optimize `region="auto"` detection dcherian 2448579 open 0     1 2024-05-03T22:13:18Z 2024-05-04T21:47:39Z   MEMBER   0 pydata/xarray/pulls/8997
  1. This moves the region detection code into ZarrStore so we only open the store once.
  2. Instead of opening the store as a dataset, construct a pd.Index directly to "auto"-infer the region.

The diff is large mostly because a bunch of code moved from backends/api.py to backends/zarr.py

 
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2215762637 PR_kwDOAMm_X85rMHpN 8893 Avoid extra read from disk when creating Pandas Index. dcherian 2448579 open 0     1 2024-03-29T17:44:52Z 2024-04-08T18:55:09Z   MEMBER   0 pydata/xarray/pulls/8893 
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2224297504 PR_kwDOAMm_X85rpGUH 8906 Add invariant check for IndexVariable.name dcherian 2448579 open 0     1 2024-04-04T02:13:33Z 2024-04-05T07:12:54Z   MEMBER   1 pydata/xarray/pulls/8906

@benbovy this seems to be the root cause of #8646, the variable name in Dataset._variables does not match IndexVariable.name.

A good number of tests seem to fail though, so not sure if this is a good chck.

  • [ ] 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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2064698904 PR_kwDOAMm_X85jLHsQ 8584 Silence a bunch of CachingFileManager warnings dcherian 2448579 closed 0     1 2024-01-03T21:57:07Z 2024-04-03T21:08:27Z 2024-01-03T22:52:58Z MEMBER   0 pydata/xarray/pulls/8584   
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2102852029 PR_kwDOAMm_X85lMXU0 8675 Fix NetCDF4 C version detection dcherian 2448579 closed 0     1 2024-01-26T20:23:54Z 2024-01-27T01:28:51Z 2024-01-27T01:28:49Z MEMBER   0 pydata/xarray/pulls/8675

This fixes the failure locally for me.

cc @max-sixty 

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2066129022 PR_kwDOAMm_X85jP678 8587 Silence another warning in test_backends.py dcherian 2448579 closed 0     1 2024-01-04T18:20:49Z 2024-01-05T16:13:05Z 2024-01-05T16:13:03Z MEMBER   0 pydata/xarray/pulls/8587

Using 255 as fillvalue for int8 arrays will not be allowed any more. Previously this overflowed to -1. Now specify that instead.

On numpy 1.24.4 ```

np.array([255], dtype="i1") DeprecationWarning: NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.

array([-1], dtype=int8) ```

 
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2052694433 PR_kwDOAMm_X85ilhQm 8565 Faster encoding functions. dcherian 2448579 closed 0     1 2023-12-21T16:05:02Z 2024-01-04T14:25:45Z 2024-01-04T14:25:43Z MEMBER   0 pydata/xarray/pulls/8565

Spotted when profiling some write workloads. 1. Speeds up the check for multi-index 2. Speeds up one string encoder by not re-creating variables when not necessary.

@benbovy is there a better way?

 
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2052610515 PR_kwDOAMm_X85ilOq9 8564 Fix mypy type ignore dcherian 2448579 closed 0     1 2023-12-21T15:15:26Z 2023-12-21T15:41:13Z 2023-12-21T15:24:52Z MEMBER   0 pydata/xarray/pulls/8564   
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2021754904 PR_kwDOAMm_X85g8gnU 8506 Deprecate `squeeze` in GroupBy. dcherian 2448579 closed 0     1 2023-12-02T00:08:50Z 2023-12-02T00:13:36Z 2023-12-02T00:13:36Z MEMBER   0 pydata/xarray/pulls/8506
  • [x] Closes #2157
  • [ ] Tests added
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst

Could use a close-ish review.

 
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1989212292 PR_kwDOAMm_X85fOYwT 8444 Remove keep_attrs from resample signature dcherian 2448579 closed 0     1 2023-11-12T02:57:59Z 2023-11-12T22:53:36Z 2023-11-12T22:53:35Z MEMBER   0 pydata/xarray/pulls/8444
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst
 
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1471673992 PR_kwDOAMm_X85EFDiU 7343 Fix mypy failures dcherian 2448579 closed 0     1 2022-12-01T17:16:44Z 2023-11-06T04:25:52Z 2022-12-01T18:25:07Z MEMBER   0 pydata/xarray/pulls/7343   
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1689364566 PR_kwDOAMm_X85PbeOv 7796 Speed up .dt accessor by preserving Index objects. dcherian 2448579 closed 0     1 2023-04-29T04:22:10Z 2023-11-06T04:25:42Z 2023-05-16T17:55:48Z MEMBER   0 pydata/xarray/pulls/7796
  • [ ] 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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1954535213 PR_kwDOAMm_X85dZT47 8351 [skip-ci] Add benchmarks for Dataset binary ops, chunk dcherian 2448579 closed 0     1 2023-10-20T15:31:36Z 2023-10-20T18:08:40Z 2023-10-20T18:08:38Z MEMBER   0 pydata/xarray/pulls/8351

xref #8339 xref #8350

 
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1954360112 PR_kwDOAMm_X85dYtpz 8349 [skip-ci] dev whats-new dcherian 2448579 closed 0     1 2023-10-20T14:02:07Z 2023-10-20T17:28:19Z 2023-10-20T14:54:30Z MEMBER   0 pydata/xarray/pulls/8349
  • [ ] 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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1950480317 PR_kwDOAMm_X85dLkAj 8334 Whats-new: 2023.10.0 dcherian 2448579 closed 0     1 2023-10-18T19:22:06Z 2023-10-19T16:00:00Z 2023-10-19T15:59:58Z MEMBER   0 pydata/xarray/pulls/8334   
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923355397 MDExOlB1bGxSZXF1ZXN0NjcyMTI5NzY4 5480 Implement weighted groupby dcherian 2448579 open 0     1 2021-06-17T02:57:17Z 2023-07-27T18:09:55Z   MEMBER   1 pydata/xarray/pulls/5480
  • xref #3937
  • [ ] 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

Initial proof-of-concept. Suggestions to improve this are very welcome.

Here's some convenient testing code ``` python
import xarray as xr

ds = xr.tutorial.open_dataset('rasm').load() month_length = ds.time.dt.days_in_month weights = month_length.groupby('time.season') / month_length.groupby('time.season').sum()

actual = ds.weighted(month_length).groupby("time.season").mean() expected = (ds * weights).groupby('time.season').sum(skipna=False) xr.testing.assert_allclose(actual, expected) ```

I've added info to the repr python ds.weighted(month_length).groupby("time.season") WeightedDatasetGroupBy, grouped over 'season' 4 groups with labels 'DJF', 'JJA', 'MAM', 'SON'. weighted along dimensions: time by 'days_in_month'

 
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1666853925 PR_kwDOAMm_X85OQT4o 7753 Add benchmark against latest release on main. dcherian 2448579 closed 0     1 2023-04-13T17:35:33Z 2023-04-18T22:08:58Z 2023-04-18T22:08:56Z MEMBER   0 pydata/xarray/pulls/7753

This adds a benchmark of HEAD vs the latest tag on main.

 
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1658287592 PR_kwDOAMm_X85N0Ad4 7735 Avoid recasting a CFTimeIndex dcherian 2448579 closed 0     1 2023-04-07T02:45:55Z 2023-04-11T21:12:07Z 2023-04-11T21:12:05Z MEMBER   0 pydata/xarray/pulls/7735

xref #7730

 
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1232835029 PR_kwDOAMm_X843qWEU 6592 Restore old MultiIndex dropping behaviour dcherian 2448579 closed 0     1 2022-05-11T15:26:44Z 2022-10-18T19:15:42Z 2022-05-11T18:04:41Z MEMBER   0 pydata/xarray/pulls/6592
  • [x] Closes #6505
  • [x] Tests added
 
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1306904506 PR_kwDOAMm_X847g-W3 6798 Drop multi-indexes when assigning to a multi-indexed variable dcherian 2448579 closed 0     1 2022-07-16T21:13:05Z 2022-07-21T14:46:59Z 2022-07-21T14:46:58Z MEMBER   0 pydata/xarray/pulls/6798
  • [x] Closes #6505
  • [x] Tests added
 
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1221258144 PR_kwDOAMm_X843FiC3 6539 Direct usage questions to GH discussions dcherian 2448579 closed 0     1 2022-04-29T16:55:22Z 2022-04-30T02:03:46Z 2022-04-30T02:03:45Z MEMBER   0 pydata/xarray/pulls/6539   
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1200810062 PR_kwDOAMm_X842C5t3 6477 Propagate MultiIndex variables in broadcast dcherian 2448579 closed 0     1 2022-04-12T01:58:39Z 2022-04-13T14:49:35Z 2022-04-13T14:49:24Z MEMBER   0 pydata/xarray/pulls/6477

xref #6293

  • [x] Closes #6430
  • [x] Tests added
 
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539171948 MDExOlB1bGxSZXF1ZXN0MzU0MTk0MDE0 3637 concat keeps attrs from first variable. dcherian 2448579 closed 0     1 2019-12-17T16:20:22Z 2022-01-05T18:57:38Z 2019-12-24T13:37:04Z MEMBER   0 pydata/xarray/pulls/3637
  • [x] Closes #2060, closes #2575, xref #1614
  • [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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664568885 MDExOlB1bGxSZXF1ZXN0NDU1Nzg5Mjk2 4259 Improve some error messages: apply_ufunc & set_options. dcherian 2448579 closed 0     1 2020-07-23T15:23:57Z 2022-01-05T18:57:23Z 2020-07-25T23:04:55Z MEMBER   0 pydata/xarray/pulls/4259

Makes some error messages clearer

 
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687325506 MDExOlB1bGxSZXF1ZXN0NDc0NzcwMjEy 4383 Dask/cleanup dcherian 2448579 closed 0     1 2020-08-27T15:14:19Z 2022-01-05T18:57:23Z 2020-09-02T20:03:03Z MEMBER   0 pydata/xarray/pulls/4383

Some dask array cleanups

  1. switch to using dask.array.map_blocks instead of Array.map_blocks (duck dask array compatibility)
  2. Stop vendoring meta_from_array and median
 
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589835599 MDExOlB1bGxSZXF1ZXN0Mzk1MjgzNzU4 3916 facetgrid: fix case when vmin == vmax dcherian 2448579 closed 0     1 2020-03-29T16:59:14Z 2022-01-05T18:57:20Z 2020-04-03T19:48:55Z MEMBER   0 pydata/xarray/pulls/3916
  • [x] Closes #3734
  • [x] Tests added
  • [x] Passes isort -rc . && black . && mypy . && flake8
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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490514191 MDExOlB1bGxSZXF1ZXN0MzE1MTA2NzA0 3288 Remove deprecated concat kwargs. dcherian 2448579 closed 0     1 2019-09-06T20:41:31Z 2022-01-05T18:57:02Z 2019-09-09T18:34:14Z MEMBER   0 pydata/xarray/pulls/3288
  • [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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1038409453 PR_kwDOAMm_X84tyqhR 5905 [skip-ci] v0.20.0: whats-new for release dcherian 2448579 closed 0     1 2021-10-28T11:35:00Z 2022-01-05T18:56:55Z 2021-11-01T21:15:22Z MEMBER   0 pydata/xarray/pulls/5905

Whats-new fixes for the release.

Feel free to push to this branch with more improvements.

 
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1094502107 PR_kwDOAMm_X84wkWcB 6141 Revert "Deprecate bool(ds) (#6126)" dcherian 2448579 closed 0     1 2022-01-05T15:58:27Z 2022-01-05T16:57:33Z 2022-01-05T16:57:32Z MEMBER   0 pydata/xarray/pulls/6141

This reverts commit d6ee8caa84b27d4635ec3384b1a06ef4ddf2d998.

 
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1045266457 PR_kwDOAMm_X84uHoD5 5943 whats-new for 0.20.1 dcherian 2448579 closed 0     1 2021-11-04T22:25:49Z 2021-11-05T17:00:24Z 2021-11-05T17:00:23Z MEMBER   0 pydata/xarray/pulls/5943   
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970815025 MDExOlB1bGxSZXF1ZXN0NzEyNzA3OTY2 5708 Add .git-blame-ignore-revs dcherian 2448579 closed 0     1 2021-08-14T04:04:10Z 2021-08-23T16:42:11Z 2021-08-23T16:42:09Z MEMBER   0 pydata/xarray/pulls/5708

I found it useful to ignore big reformatting commits in git blame. See https://www.michaelheap.com/git-ignore-rev/

it's opt-in using a command-line flag or you can set git config --global blame.ignoreRevsFile .git-blame-ignore-revs

Thoughts on adding it to the repo? If so, are there more commits we can add?

 
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959380582 MDExOlB1bGxSZXF1ZXN0NzAyNTAzNTA0 5670 Flexible Indexes: Avoid len(index) in map_blocks dcherian 2448579 closed 0     1 2021-08-03T18:30:18Z 2021-08-05T13:28:48Z 2021-08-05T08:08:48Z MEMBER   0 pydata/xarray/pulls/5670 
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926421732 MDExOlB1bGxSZXF1ZXN0Njc0NzI4MzAw 5506 Refactor dataset groupby tests dcherian 2448579 closed 0     1 2021-06-21T17:04:34Z 2021-06-22T16:26:16Z 2021-06-22T16:00:15Z MEMBER   0 pydata/xarray/pulls/5506
  • xref #5409

Just moves the tests out, in preparation for numpy_groupies work

There are a few tests for .assign and .fillna (for e.g.) still present in test_dataset

The DataArray tests are not a simple copy and paste :(

 
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776595030 MDExOlB1bGxSZXF1ZXN0NTQ3MDUzOTM5 4744 Speed up Dataset._construct_dataarray dcherian 2448579 closed 0     1 2020-12-30T19:03:05Z 2021-01-05T17:32:16Z 2021-01-05T17:32:13Z MEMBER   0 pydata/xarray/pulls/4744
  • [ ] Tests added
  • [x] Passes isort . && black . && mypy . && flake8
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst

Significantly speeds up _construct_dataarray by iterating over ._coord_names instead of .coords. This avoids unnecessarily constructing a DatasetCoordinates object and massively speeds up repr construction for datasets with large numbers of variables.

Construct a 2000 variable dataset ```python import numpy as np import xarray as xr

a = np.arange(0, 2000) b = np.core.defchararray.add("long_variable_name", a.astype(str)) coords = dict(time=np.array([0, 1])) data_vars = dict() for v in b: data_vars[v] = xr.DataArray( name=v, data=np.array([3, 4]), dims=["time"], coords=coords ) ds0 = xr.Dataset(data_vars) ```

Before: ``` %timeit ds0['long_variable_name1999'] %timeit ds0.repr()

1.33 ms ± 23 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each) 2.66 s ± 52.7 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) ```

After:

``` %timeit ds0['long_variable_name1999'] %timeit ds0.repr()

10.5 µs ± 203 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each) 84.2 ms ± 1.28 ms per loop (mean ± std. dev. of 7 runs, 10 loops each) ```

 
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773121631 MDExOlB1bGxSZXF1ZXN0NTQ0MjYzMjMw 4722 Add Zenodo DOI badge dcherian 2448579 closed 0     1 2020-12-22T17:31:33Z 2020-12-23T17:07:09Z 2020-12-23T17:06:59Z MEMBER   0 pydata/xarray/pulls/4722 
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677231206 MDExOlB1bGxSZXF1ZXN0NDY2MzgxNjY5 4335 Add @mathause to current core developers. dcherian 2448579 closed 0     1 2020-08-11T22:10:45Z 2020-08-11T22:51:35Z 2020-08-11T22:51:06Z MEMBER   0 pydata/xarray/pulls/4335 
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602771945 MDExOlB1bGxSZXF1ZXN0NDA1NzAwOTk4 3983 Better chunking error messages for zarr backend dcherian 2448579 closed 0     1 2020-04-19T17:19:53Z 2020-04-22T19:28:03Z 2020-04-22T19:27:59Z MEMBER   0 pydata/xarray/pulls/3983

Make some zarr error messages more helpful.

 
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589833027 MDExOlB1bGxSZXF1ZXN0Mzk1MjgxODgw 3913 Use divergent colormap if lowest and highest level span 0 dcherian 2448579 closed 0     1 2020-03-29T16:45:56Z 2020-04-07T15:59:12Z 2020-04-05T13:41:25Z MEMBER   0 pydata/xarray/pulls/3913
  • [x] Closes #3524
  • [x] Tests added
  • [x] Passes isort -rc . && black . && mypy . && flake8
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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573964634 MDExOlB1bGxSZXF1ZXN0MzgyMzc1OTcz 3817 map_blocks: allow user function to add new unindexed dimension. dcherian 2448579 closed 0     1 2020-03-02T13:12:25Z 2020-03-21T19:51:12Z 2020-03-21T19:51:07Z MEMBER   0 pydata/xarray/pulls/3817
  • [x] Tests added
  • [x] Passes isort -rc . && black . && mypy . && flake8
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API

Small change that makes map_blocks apply functions that add new unindexed dimensions.

 
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564780280 MDExOlB1bGxSZXF1ZXN0Mzc0OTQ3OTE3 3769 concat now handles non-dim coordinates only present in one dataset dcherian 2448579 closed 0     1 2020-02-13T15:55:30Z 2020-02-23T20:48:19Z 2020-02-23T19:45:18Z MEMBER   0 pydata/xarray/pulls/3769
  • [x] Tests added
  • [x] Passes isort -rc . && black . && mypy . && flake8
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API

da1 = xr.DataArray([1, 2, 3], dims="x", coords={"x": [1, 2, 3], "y": 1}) da2 = xr.DataArray([4, 5, 6], dims="x", coords={"x": [4, 5, 6]}) xr.concat([da1, da2], dim="x") This use case is quite common since you can get da1 from something like bigger_da1.sel(y=1)

On master this raises an uninformative KeyError because 'y' is not present in all datasets. This is because coords="different" by default which means that we are checking for equality. However coords='different'(and the equality check) is meaningless when the variable is only present in one of the objects to be concatenated.

This PR skips equality checking when a variable is only present in one dataset and raises a nicer error message when it is present in more than one but not all datasets.

 
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534450028 MDExOlB1bGxSZXF1ZXN0MzUwMzQ1NDQ0 3605 fix dask master test dcherian 2448579 closed 0     1 2019-12-07T20:42:35Z 2019-12-09T15:40:38Z 2019-12-09T15:40:34Z MEMBER   0 pydata/xarray/pulls/3605
  • [x] Closes #3603 
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530744399 MDExOlB1bGxSZXF1ZXN0MzQ3MzM3Njg5 3585 Add bottleneck & rasterio git tip to upstream-dev CI dcherian 2448579 closed 0     1 2019-12-01T14:57:02Z 2019-12-01T18:57:06Z 2019-12-01T18:57:03Z MEMBER   0 pydata/xarray/pulls/3585 
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526930276 MDExOlB1bGxSZXF1ZXN0MzQ0MzA2NjA0 3559 Reimplement quantile with apply_ufunc dcherian 2448579 closed 0     1 2019-11-22T01:16:29Z 2019-11-25T15:58:06Z 2019-11-25T15:57:49Z MEMBER   0 pydata/xarray/pulls/3559

Adds support for dask arrays.

  • [x] Closes #3326
  • [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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522308594 MDExOlB1bGxSZXF1ZXN0MzQwNTMyNzUx 3519 propagate indexes in to_dataset, from_dataset dcherian 2448579 closed 0     1 2019-11-13T15:49:35Z 2019-11-22T15:47:22Z 2019-11-22T15:47:18Z MEMBER   0 pydata/xarray/pulls/3519

happy to make changes!

 
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507515103 MDExOlB1bGxSZXF1ZXN0MzI4NDkyMjY0 3403 Another groupby.reduce bugfix. dcherian 2448579 closed 0     1 2019-10-15T22:30:23Z 2019-10-25T21:01:16Z 2019-10-25T21:01:12Z MEMBER   0 pydata/xarray/pulls/3403
  • [x] Closes #3402
  • [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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500371226 MDExOlB1bGxSZXF1ZXN0MzIyODU3OTYy 3357 Add how do I ... section dcherian 2448579 closed 0     1 2019-09-30T16:00:34Z 2019-09-30T21:12:28Z 2019-09-30T21:12:23Z MEMBER   0 pydata/xarray/pulls/3357
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API

Thoughts on adding something like this?

 
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494681363 MDExOlB1bGxSZXF1ZXN0MzE4Mzg2NjI2 3314 move auto_combine deprecation to 0.14 dcherian 2448579 closed 0     1 2019-09-17T15:04:38Z 2019-09-17T18:50:09Z 2019-09-17T18:50:06Z MEMBER   0 pydata/xarray/pulls/3314
  • [x] Closes #3280

This undoes the auto_combine deprecation until we figure out the best way to proceed.

(I am not very familiar with auto_combine so someone else should look over this. The tests all pass though...)

 
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385452676 MDExOlB1bGxSZXF1ZXN0MjM0NDIwNzYx 2581 fix examples dcherian 2448579 closed 0     1 2018-11-28T20:54:44Z 2019-08-15T15:33:09Z 2018-11-28T22:30:36Z MEMBER   0 pydata/xarray/pulls/2581
  • [x] Closes #2580

Use open_dataset.load() instead of load_dataset()

 
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328573601 MDExOlB1bGxSZXF1ZXN0MTkyMDc1OTM2 2210 Remove height=12in from facetgrid example plots. dcherian 2448579 closed 0     1 2018-06-01T15:56:52Z 2019-08-15T15:33:03Z 2018-06-01T16:15:50Z MEMBER   0 pydata/xarray/pulls/2210
  • [x] Closes #2208 (remove if there is no corresponding issue, which should only be the case for minor changes)

This fixes it for me locally. The height was forced to be 12in, while width is 100%.

I'm not sure why this was added in the first place.

 
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322365966 MDExOlB1bGxSZXF1ZXN0MTg3NTE3MTUx 2120 Prevent Inf from screwing colorbar scale. dcherian 2448579 closed 0     1 2018-05-11T16:55:34Z 2019-08-15T15:32:51Z 2018-05-12T06:36:37Z MEMBER   0 pydata/xarray/pulls/2120
  • [x] Tests added (for all bug fixes or enhancements)
  • [x] Tests passed (for all non-documentation changes)
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API (remove if this change should not be visible to users, e.g., if it is an internal clean-up, or if this is part of a larger project that will be documented later)

The current version uses pd.isnull to remove invalid values from input data when making a colorbar. pd.isnull([np.inf]) is False which means _determine_cmap_params returns Inf for colorbar limits which screws everything up. This PR changes pd.isnull to np.isfinite.

 
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445776616 MDExOlB1bGxSZXF1ZXN0MjgwMTQwODcz 2973 More support for missing_value. dcherian 2448579 closed 0     1 2019-05-19T03:41:56Z 2019-06-12T15:32:32Z 2019-06-12T15:32:27Z MEMBER   0 pydata/xarray/pulls/2973
  • [x] Closes #2871
  • [x] Tests added
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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331795471 MDExOlB1bGxSZXF1ZXN0MTk0NDM5NDgz 2229 Bugfix for faceting line plots. dcherian 2448579 closed 0     1 2018-06-13T00:04:43Z 2019-04-12T16:31:18Z 2018-06-20T16:26:37Z MEMBER   0 pydata/xarray/pulls/2229

Closes #2239

Fixes a broken doc image: http://xarray.pydata.org/en/stable/plotting.html#id4

The tests passed previously because there was no metadata associated with the test DataArray. I've assigned some now, that should be good enough.

 
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391295532 MDExOlB1bGxSZXF1ZXN0MjM4ODU1NzM4 2608 .resample now supports loffset. dcherian 2448579 closed 0     1 2018-12-14T22:07:06Z 2019-04-12T16:29:09Z 2018-12-19T05:12:59Z MEMBER   0 pydata/xarray/pulls/2608
  • [x] Tests added
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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391440525 MDExOlB1bGxSZXF1ZXN0MjM4OTQ5ODI2 2611 doc fixes. dcherian 2448579 closed 0     1 2018-12-16T06:47:07Z 2018-12-17T21:57:36Z 2018-12-17T21:57:36Z MEMBER   0 pydata/xarray/pulls/2611
  • [x] Closes #2610

Quickfixes to make things work locally. 

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374183531 MDExOlB1bGxSZXF1ZXN0MjI1OTQ0MTg4 2513 Make sure datetime object arrays are converted to datetime64 dcherian 2448579 closed 0     1 2018-10-26T00:33:07Z 2018-10-27T16:34:58Z 2018-10-27T16:34:54Z MEMBER   0 pydata/xarray/pulls/2513
  • [x] Closes #2512 (remove if there is no corresponding issue, which should only be the case for minor changes)
  • [x] Tests added (for all bug fixes or enhancements)
 
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364419418 MDExOlB1bGxSZXF1ZXN0MjE4NjA5NTgz 2444 facetgrid: properly support cbar_kwargs. dcherian 2448579 closed 0     1 2018-09-27T10:59:44Z 2018-10-25T16:06:57Z 2018-10-25T16:06:54Z MEMBER   0 pydata/xarray/pulls/2444
  • [x] Closes #1504, closes #1717, closes #1735
  • [x] Tests added (for all bug fixes or enhancements)
  • [x] Tests passed (for all non-documentation changes)
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API (remove if this change should not be visible to users, e.g., if it is an internal clean-up, or if this is part of a larger project that will be documented later)

1735 is stalled, so I jumped in.

I've added an error if cbar_ax is provided as an option for FacetGrid. Don't think it's really needed.

 
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356381494 MDExOlB1bGxSZXF1ZXN0MjEyNjU3NTU1 2395 Properly support user-provided norm. dcherian 2448579 closed 0     1 2018-09-03T07:04:45Z 2018-09-05T06:53:35Z 2018-09-05T06:53:30Z MEMBER   0 pydata/xarray/pulls/2395
  • [x] Closes #2381 (remove if there is no corresponding issue, which should only be the case for minor changes)
  • [x] Tests added (for all bug fixes or enhancements)
  • [x] Tests passed (for all non-documentation changes)
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API (remove if this change should not be visible to users, e.g., if it is an internal clean-up, or if this is part of a larger project that will be documented later)
 
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     xarray 13221727 pull
282344188 MDExOlB1bGxSZXF1ZXN0MTU4NTQwODI1 1786 _plot2d: Rotate x-axis ticks if datetime subtype dcherian 2448579 closed 0     1 2017-12-15T07:43:19Z 2018-05-10T05:12:19Z 2018-01-03T16:37:56Z MEMBER   0 pydata/xarray/pulls/1786

Rotate x-axis dateticks by default, just as for plot.line()

  • [x] Tests added (for all bug fixes or enhancements)
  • [x] Tests passed (for all non-documentation changes)
  • [x] Passes git diff upstream/master **/*py | flake8 --diff (remove if you did not edit any Python files)
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API (remove if this change should not be visible to users, e.g., if it is an internal clean-up, or if this is part of a larger project that will be documented later)
 
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     xarray 13221727 pull
308107438 MDExOlB1bGxSZXF1ZXN0MTc3MTI5MTA1 2012 Add weighted mean docs. dcherian 2448579 closed 0     1 2018-03-23T16:57:29Z 2018-03-23T22:55:32Z 2018-03-23T22:51:57Z MEMBER   0 pydata/xarray/pulls/2012

I like @fujiisoup's weighted mean demo in this stack overflow example: https://stackoverflow.com/questions/48510784/xarray-rolling-mean-with-weights

I thought it'd be a useful addition to the docs on rolling.

 
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     xarray 13221727 pull

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