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 707647715,MDExOlB1bGxSZXF1ZXN0NDkyMDEzODg4,4453,Simplify and restore old behavior for deep-copies,1217238,closed,0,,,3,2020-09-23T20:10:33Z,2023-09-14T03:06:34Z,2023-09-14T03:06:33Z,MEMBER,,1,pydata/xarray/pulls/4453,"Intended to fix https://github.com/pydata/xarray/issues/4449 The goal is to restore behavior to match what we had prior to https://github.com/pydata/xarray/pull/4379 for all types of `data` other than `np.ndarray` objects Needs tests! - [ ] Closes #xxxx - [ ] Tests added - [ ] Passes `isort . && black . && mypy . && flake8` - [ ] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - [ ] New functions/methods are listed in `api.rst` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4453/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 342928718,MDExOlB1bGxSZXF1ZXN0MjAyNzE0MjUx,2302,WIP: lazy=True in apply_ufunc(),1217238,open,0,,,1,2018-07-20T00:01:21Z,2023-07-18T04:19:17Z,,MEMBER,,0,pydata/xarray/pulls/2302," - [x] Closes https://github.com/pydata/xarray/issues/2298 - [ ] Tests added - [ ] Tests passed - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API Still needs more tests and documentation.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2302/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 1767947798,PR_kwDOAMm_X85TkPzV,7933,Update calendar for developers meeting,1217238,closed,0,,,0,2023-06-21T16:09:44Z,2023-06-21T17:56:22Z,2023-06-21T17:56:22Z,MEMBER,,0,pydata/xarray/pulls/7933,"The old calendar was on @jhamman's UCAR account, which he no longer has access to! xref https://github.com/pydata/xarray/issues/4001","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7933/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 895983112,MDExOlB1bGxSZXF1ZXN0NjQ4MTM1NTcy,5351,Add xarray.backends.NoMatchingEngineError,1217238,open,0,,,4,2021-05-19T22:09:21Z,2022-11-16T15:19:54Z,,MEMBER,,0,pydata/xarray/pulls/5351," - [x] Closes #5329 - [x] Tests added - [x] Passes `pre-commit run --all-files` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - [x] New functions/methods are listed in `api.rst` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5351/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 803068773,MDExOlB1bGxSZXF1ZXN0NTY5MDU5MTEz,4879,Cache files for different CachingFileManager objects separately,1217238,closed,0,,,10,2021-02-07T21:48:06Z,2022-10-18T16:40:41Z,2022-10-18T16:40:40Z,MEMBER,,0,pydata/xarray/pulls/4879,"This means that explicitly opening a file multiple times with ``open_dataset`` (e.g., after modifying it on disk) now reopens the file from scratch, rather than reusing a cached version. If users want to reuse the cached file, they can reuse the same xarray object. We don't need this for handling many files in Dask (the original motivation for caching), because in those cases only a single CachingFileManager is created. I think this should some long-standing usability issues: #4240, #4862 Conveniently, this also obviates the need for some messy reference counting logic. - [x] Closes #4240, #4862 - [x] Tests added - [x] Passes `pre-commit run --all-files` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4879/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 168272291,MDExOlB1bGxSZXF1ZXN0NzkzMjE2NTc=,924,WIP: progress toward making groupby work with multiple arguments,1217238,open,0,,,16,2016-07-29T08:07:57Z,2022-06-09T14:50:17Z,,MEMBER,,0,pydata/xarray/pulls/924,"Fixes #324 It definitely doesn't work properly yet, totally mixing up coordinates, data variables and multi-indexes (as shown by the failing tests). A simple example: ``` In [4]: coords = {'a': ('x', [0, 0, 1, 1]), 'b': ('y', [0, 0, 1, 1])} In [5]: square = xr.DataArray(np.arange(16).reshape(4, 4), coords=coords, dims=['x', 'y']) In [6]: square Out[6]: array([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11], [12, 13, 14, 15]]) Coordinates: b (y) int64 0 0 1 1 a (x) int64 0 0 1 1 * x (x) int64 0 1 2 3 * y (y) int64 0 1 2 3 In [7]: square.groupby(['a', 'b']).mean() Out[7]: array([[ 2.5, 4.5], [ 10.5, 12.5]]) Coordinates: * a (a) int64 0 1 * b (b) int64 0 1 In [8]: square.groupby(['x', 'y']).mean() Out[8]: array([[ 0., 1., 2., 3.], [ 4., 5., 6., 7.], [ 8., 9., 10., 11.], [ 12., 13., 14., 15.]]) Coordinates: * x (x) int64 0 1 2 3 * y (y) int64 0 1 2 3 ``` More examples: https://gist.github.com/shoyer/5cfa4d5751e8a78a14af25f8442ad8d5 ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/924/reactions"", ""total_count"": 4, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 3, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 327166000,MDExOlB1bGxSZXF1ZXN0MTkxMDMwMjA4,2195,WIP: explicit indexes,1217238,closed,0,,,3,2018-05-29T04:25:15Z,2022-03-21T14:59:52Z,2022-03-21T14:59:52Z,MEMBER,,0,pydata/xarray/pulls/2195,"Some utility functions that should be useful for https://github.com/pydata/xarray/issues/1603 Still very much a work in progress -- it would be great if someone has time to finish writing any of these in another PR!","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2195/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 1062709354,PR_kwDOAMm_X84u-sO9,6025,Simplify missing value handling in xarray.corr,1217238,closed,0,,,1,2021-11-24T17:48:03Z,2021-11-28T04:39:22Z,2021-11-28T04:39:22Z,MEMBER,,0,pydata/xarray/pulls/6025,"This PR simplifies the fix from https://github.com/pydata/xarray/pull/5731, specifically for the benefit of xarray.corr. There is no need to use `map_blocks` instead of using `where` directly. It is a basically an alternative version of https://github.com/pydata/xarray/pull/5284. It is potentially slightly less efficient to do this masking step when unnecessary, but I doubt this makes a noticeable performance difference in practice (and I doubt this optimization is useful insdie `map_blocks`, anyways).","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/6025/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 1044151556,PR_kwDOAMm_X84uELYB,5935,Docs: fix URL for PTSA,1217238,closed,0,,,1,2021-11-03T21:56:44Z,2021-11-05T09:36:04Z,2021-11-05T09:36:04Z,MEMBER,,0,pydata/xarray/pulls/5935,One of the PTSA authors told me about the new URL by email.,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5935/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 948890466,MDExOlB1bGxSZXF1ZXN0NjkzNjY1NDEy,5624,Make typing-extensions optional,1217238,closed,0,,,6,2021-07-20T17:43:22Z,2021-07-22T23:30:49Z,2021-07-22T23:02:03Z,MEMBER,,0,pydata/xarray/pulls/5624,"Type checking may be a little worse if typing-extensions are not installed, but I don't think it's worth the trouble of adding another hard dependency just for one use for TypeGuard. Note: sadly this doesn't work yet. Mypy (and pylance) don't like the type alias defined with try/except. Any ideas? In the worst case, we could revert the TypeGuard entirely, but that would be a shame... - [x] Closes #5495 - [x] Passes `pre-commit run --all-files` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5624/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 874331538,MDExOlB1bGxSZXF1ZXN0NjI4OTE0NDQz,5252,"Add mode=""r+"" for to_zarr and use consolidated writes/reads by default",1217238,closed,0,,,14,2021-05-03T07:57:16Z,2021-06-22T06:51:35Z,2021-06-17T17:19:26Z,MEMBER,,0,pydata/xarray/pulls/5252,"`mode=""r+""` only allows for modifying pre-existing array values in a Zarr store. This makes it a safer default `mode` when doing a limited `region` write. It also offers a nice performance bonus when using consolidated metadata, because the store to modify can be opened in ""consolidated"" mode -- rather than painfully slow non-consolidated mode. This PR includes several related changes to `to_zarr()`: 1. It adds support for the new `mode=""r+""`. 2. `consolidated=True` in `to_zarr()` now means ""open in consolidated mode"" if using using `mode=""r+""`, instead of ""write in consolidated mode"" (which would not make sense for r+). 3. It allows setting `consolidated=True` when using `region`, mostly for the sake of fast store opening with r+. 4. Validation in `to_zarr()` has been reorganized to always use the _existing_ Zarr group, rather than re-opening zar stores from scratch, which could require additional network requests. 5. Incidentally, I've renamed the `ZarrStore.ds` attribute to `ZarrStore.zarr_group`, which is a much more descriptive name. These changes gave me a ~5x boost in write performance in a large parallel job making use of `to_zarr` with `region`. - [x] Tests added - [x] Passes `pre-commit run --all-files` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5252/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 891253662,MDExOlB1bGxSZXF1ZXN0NjQ0MTQ5Mzc2,5300,Better error message when no backend engine is found.,1217238,closed,0,,,4,2021-05-13T18:10:04Z,2021-05-18T21:23:00Z,2021-05-18T21:23:00Z,MEMBER,,0,pydata/xarray/pulls/5300,"Also includes a better error message when loading a tutorial dataset but an underlying IO dependency is not found. - [x] Fixes #5291 - [x] Tests added - [x] Passes `pre-commit run --all-files` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5300/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 890573049,MDExOlB1bGxSZXF1ZXN0NjQzNTc1Mjc5,5296,More robust guess_can_open for netCDF4/scipy/h5netcdf entrypoints,1217238,closed,0,,,1,2021-05-12T23:53:32Z,2021-05-14T22:40:14Z,2021-05-14T22:40:14Z,MEMBER,,0,pydata/xarray/pulls/5296,"The new version checks magic numbers in files on disk, not just already open file objects. I've also added a bunch of unit-tests. Fixes GH5295 - [x] Closes #5295 - [x] Tests added - [x] Passes `pre-commit run --all-files` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5296/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 645062817,MDExOlB1bGxSZXF1ZXN0NDM5NTg4OTU1,4178,Fix min_deps_check; revert to support numpy=1.14 and pandas=0.24,1217238,closed,0,,,5,2020-06-25T00:37:19Z,2021-02-27T21:46:43Z,2021-02-27T21:46:42Z,MEMBER,,1,pydata/xarray/pulls/4178,"Fixes the issue noticed in: https://github.com/pydata/xarray/pull/4175#issuecomment-649135372 Let's see if this passes CI... - [x] Passes `isort -rc . && black . && mypy . && flake8` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4178/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 613012939,MDExOlB1bGxSZXF1ZXN0NDEzODQ3NzU0,4035,Support parallel writes to regions of zarr stores,1217238,closed,0,,,17,2020-05-06T02:40:19Z,2020-11-04T06:19:01Z,2020-11-04T06:19:01Z,MEMBER,,0,pydata/xarray/pulls/4035,"This PR adds support for a `region` keyword argument to `to_zarr()`, to support parallel writes to different parts of arrays in a zarr stores, e.g., `ds.to_zarr(..., region={'x': slice(1000, 2000)})` to write a dataset over the range `1000:2000` along the `x` dimension. This is useful for creating large Zarr datasets _without_ requiring dask. For example, the separate workers in a simulation job might each write a single non-overlapping chunk of a Zarr file. The standard way to handle such datasets today is to first write netCDF files in each process, and then consolidate them afterwards with dask (see #3096). ### Creating empty Zarr stores In order to do so, the Zarr file must be pre-existing with desired variables in the right shapes/chunks. It is desirable to be able to create such stores without actually writing data, because datasets that we want to write in parallel may be very large. In the example below, I achieve this filling a `Dataset` with dask arrays, and passing `compute=False` to `to_zarr()`. This works, but it relies on an undocumented implementation detail of the `compute` argument. We should either: 1. Officially document that the `compute` argument only controls writing array values, not metadata (at least for zarr). 2. Add a new keyword argument or entire new method for creating an unfilled Zarr store, e.g., `write_values=False`. I think (1) is maybe the cleanest option (no extra API endpoints). ### Unchunked variables One potential gotcha concerns coordinate arrays that are not chunked, e.g., consider parallel writing of a dataset divided along time with 2D `latitude` and `longitude` arrays that are fixed over all chunks. With the current PR, such coordinate arrays would get rewritten by each separate writer. If a Zarr store does not have atomic writes, then conceivably this could result in corrupted data. The default DirectoryStore has atomic writes and cloud based object stores should also be atomic, so perhaps this doesn't matter in practice, but at the very least it's inefficient and could cause issues for large-scale jobs due to resource contention. Options include: 1. Current behavior. Variables whose dimensions do not overlap with `region` are written by `to_zarr()`. *This is likely the most intuitive behavior for writing from a single process at a time.* 2. Exclude variables whose dimensions do not overlap with `region` from being written. This is likely the most convenient behavior for writing from multiple processes at once. 3. Like (2), but issue a warning if any such variables exist instead of silently dropping them. 4. Like (2), but raise an error instead of a warning. Require the user to explicitly drop them with `.drop()`. This is probably the safest behavior. I think (4) would be my preferred option. Some users would undoubtedly find this annoying, but the power-users for whom we are adding this feature would likely appreciate it. ### Usage example ```python import xarray import dask.array as da ds = xarray.Dataset({'u': (('x',), da.arange(1000, chunks=100))}) # create the new zarr store, but don't write data path = 'my-data.zarr' ds.to_zarr(path, compute=False) # look at the unwritten data ds_opened = xarray.open_zarr(path) print('Data before writing:', ds_opened.u.data[::100].compute()) # Data before writing: [ 1 100 1 100 100 1 1 1 1 1] # write out each slice (could be in separate processes) for start in range(0, 1000, 100): selection = {'x': slice(start, start + 100)} ds.isel(selection).to_zarr(path, region=selection) print('Data after writing:', ds_opened.u.data[::100].compute()) # Data after writing: [ 0 100 200 300 400 500 600 700 800 900] ``` - [x] Closes https://github.com/pydata/xarray/issues/3096 - [x] Integration test - [x] Unit tests - [x] Passes `isort -rc . && black . && mypy . && flake8` - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4035/reactions"", ""total_count"": 4, ""+1"": 4, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 718492237,MDExOlB1bGxSZXF1ZXN0NTAwODc5MTY3,4500,Add variable/attribute names to netCDF validation errors,1217238,closed,0,,,1,2020-10-10T00:47:18Z,2020-10-10T05:28:08Z,2020-10-10T05:28:08Z,MEMBER,,0,pydata/xarray/pulls/4500,"This should result in a better user experience, e.g., specifically pointing out the attribute with an invalid value. - [x] Tests added - [x] Passes `isort . && black . && mypy . && flake8` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4500/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 702372014,MDExOlB1bGxSZXF1ZXN0NDg3NjYxMzIz,4426,Fix for h5py deepcopy issues,1217238,closed,0,,,6,2020-09-16T01:11:00Z,2020-09-18T22:31:13Z,2020-09-18T22:31:09Z,MEMBER,,0,pydata/xarray/pulls/4426," - [x] Closes #4425 - [x] Tests added - [x] Passes `isort . && black . && mypy . && flake8` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4426/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 669307837,MDExOlB1bGxSZXF1ZXN0NDU5Njk1NDA5,4292,Fix indexing with datetime64[ns] with pandas=1.1,1217238,closed,0,,,11,2020-07-31T00:48:50Z,2020-09-16T03:11:48Z,2020-09-16T01:33:30Z,MEMBER,,0,pydata/xarray/pulls/4292,"Fixes #4283 The underlying issue is that calling `.item()` on a NumPy array with `dtype=datetime64[ns]` returns an _integer_, rather than an `np.datetime64` scalar. This is somewhat baffling but works this way because `.item()` returns native Python types, but `datetime.datetime` doesn't support nanosecond precision. `pandas.Index.get_loc` used to support these integers, but now is more strict. Hence we get errors. We can fix this by using `array[()]` to convert 0d arrays into NumPy scalars instead of calling `array.item()`. I've added a crude regression test. There may well be a better way to test this but I haven't figured it out yet. - [x] Tests added - [x] Passes `isort . && black . && mypy . && flake8` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4292/reactions"", ""total_count"": 3, ""+1"": 3, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 638597800,MDExOlB1bGxSZXF1ZXN0NDM0MzMxNzQ3,4154,Update issue templates inspired/based on dask,1217238,closed,0,,,1,2020-06-15T07:00:53Z,2020-08-05T13:05:33Z,2020-06-17T16:50:57Z,MEMBER,,0,pydata/xarray/pulls/4154,See https://github.com/dask/dask/issues/new/choose for an approximate example of what this looks like.,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4154/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 646073396,MDExOlB1bGxSZXF1ZXN0NDQwNDMxNjk5,4184,Improve the speed of from_dataframe with a MultiIndex (by 40x!),1217238,closed,0,,,1,2020-06-26T07:39:14Z,2020-07-02T20:39:02Z,2020-07-02T20:39:02Z,MEMBER,,0,pydata/xarray/pulls/4184,"Before: pandas.MultiIndexSeries.time_to_xarray ======= ========= ========== -- subset ------- -------------------- dtype True False ======= ========= ========== int 505±0ms 37.1±0ms float 485±0ms 38.3±0ms ======= ========= ========== After: pandas.MultiIndexSeries.time_to_xarray ======= ============ ========== -- subset ------- ----------------------- dtype True False ======= ============ ========== int 10.7±0.4ms 22.6±1ms float 10.0±0.8ms 21.1±1ms ======= ============ ========== ~~There are still some cases where we have to fall back to the existing slow implementation, but hopefully they should now be relatively rare.~~ Edit: now we always use the new implementation - [x] Closes #2459, closes #4186 - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - [x] Passes `isort -rc . && black . && mypy . && flake8` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4184/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 1, ""eyes"": 0}",,,13221727,pull 645961347,MDExOlB1bGxSZXF1ZXN0NDQwMzQ2NTQz,4182,Show data by default in HTML repr for DataArray,1217238,closed,0,,,0,2020-06-26T02:25:08Z,2020-06-28T17:03:41Z,2020-06-28T17:03:41Z,MEMBER,,0,pydata/xarray/pulls/4182," - [x] Closes #4176 - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4182/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 644170008,MDExOlB1bGxSZXF1ZXN0NDM4ODQxMjk2,4171,Remove 
 from nested HTML repr,1217238,closed,0,,,0,2020-06-23T21:51:14Z,2020-06-24T15:45:20Z,2020-06-24T15:45:00Z,MEMBER,,0,pydata/xarray/pulls/4171,"Using `
` messes up the display of nested HTML reprs, e.g., from dask. Now we only use the `
` tag when displaying raw text reprs.

Before (Jupyter notebook):
![image](https://user-images.githubusercontent.com/1217238/85467844-8faa1e00-b560-11ea-8565-b22105ca603a.png)

After:
![image](https://user-images.githubusercontent.com/1217238/85467860-946ed200-b560-11ea-90ed-79ea6505e07f.png)

 - [x] Tests added
 - [x] Passes `isort -rc . && black . && mypy . && flake8`
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4171/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
613546626,MDExOlB1bGxSZXF1ZXN0NDE0MjgwMDEz,4039,Revise pull request template,1217238,closed,0,,,5,2020-05-06T19:08:19Z,2020-06-18T05:45:11Z,2020-06-18T05:45:10Z,MEMBER,,0,pydata/xarray/pulls/4039,"See below for the new language, to clarify that documentation is only necessary
for ""user visible changes.""

I added ""including notable bug fixes"" to indicate that minor bug fixes may not
be worth noting (I was thinking of test-suite only fixes in this category) but
perhaps that is too confusing.

cc @pydata/xarray for opinions!



 - [ ] Closes #xxxx
 - [ ] Tests added
 - [ ] Passes `isort -rc . && black . && mypy . && flake8`
 - [ ] Fully documented, including `whats-new.rst` for user visible changes
       (including notable bug fixes) and `api.rst` for new API
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4039/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
639334065,MDExOlB1bGxSZXF1ZXN0NDM0OTQ0NTc4,4159,Test RTD's new pull request builder,1217238,closed,0,,,1,2020-06-16T03:06:32Z,2020-06-17T16:54:02Z,2020-06-17T16:54:02Z,MEMBER,,1,pydata/xarray/pulls/4159,"https://docs.readthedocs.io/en/latest/guides/autobuild-docs-for-pull-requests.html



Don't merge this!","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4159/reactions"", ""total_count"": 3, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 3, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
639397110,MDExOlB1bGxSZXF1ZXN0NDM0OTk1NzQz,4160,Fix failing upstream-dev build & remove docs build,1217238,closed,0,,,0,2020-06-16T06:08:55Z,2020-06-16T06:35:49Z,2020-06-16T06:35:44Z,MEMBER,,0,pydata/xarray/pulls/4160,"Instead, we'll use RTD's new doc builder instead. For an example, click on
""docs/readthedocs.org:xray"" below or look at GH4159



 - [x] Closes https://github.com/pydata/xarray/issues/4146
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4160/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
612214951,MDExOlB1bGxSZXF1ZXN0NDEzMjIyOTEx,4028,Remove broken test for Panel with to_pandas(),1217238,closed,0,,,5,2020-05-04T22:41:42Z,2020-05-06T01:50:21Z,2020-05-06T01:50:21Z,MEMBER,,0,pydata/xarray/pulls/4028,"We don't support creating a Panel with to_pandas() with *any* version of
pandas at present, so this test was previous broken if pandas < 0.25 was
installed.


","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4028/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
612838635,MDExOlB1bGxSZXF1ZXN0NDEzNzA3Mzgy,4032,Allow warning with cartopy in docs plotting build,1217238,closed,0,,,1,2020-05-05T19:25:11Z,2020-05-05T21:49:26Z,2020-05-05T21:49:26Z,MEMBER,,0,pydata/xarray/pulls/4032,"Fixes https://github.com/pydata/xarray/issues/4030

It looks like this is triggered by the new cartopy version now being installed
on RTD (version 0.17.0 -> 0.18.0).

Long term we should fix this, but for now it's better just to disable the
warning.

Here's the message from RTD:
```
Exception occurred:
  File ""/home/docs/checkouts/readthedocs.org/user_builds/xray/conda/latest/lib/python3.8/site-packages/IPython/sphinxext/ipython_directive.py"", line 586, in process_input
    raise RuntimeError('Non Expected warning in `{}` line {}'.format(filename, lineno))
RuntimeError: Non Expected warning in `/home/docs/checkouts/readthedocs.org/user_builds/xray/checkouts/latest/doc/plotting.rst` line 732
The full traceback has been saved in /tmp/sphinx-err-qav6jjmm.log, if you want to report the issue to the developers.
Please also report this if it was a user error, so that a better error message can be provided next time.
A bug report can be filed in the tracker at . Thanks!

>>>-------------------------------------------------------------------------
Warning in /home/docs/checkouts/readthedocs.org/user_builds/xray/checkouts/latest/doc/plotting.rst at block ending on line 732
Specify :okwarning: as an option in the ipython:: block to suppress this message
----------------------------------------------------------------------------
/home/docs/checkouts/readthedocs.org/user_builds/xray/checkouts/latest/xarray/plot/facetgrid.py:373: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations.
  self.fig.tight_layout()
<<<-------------------------------------------------------------------------
```
https://readthedocs.org/projects/xray/builds/10969146/


","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4032/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
612262200,MDExOlB1bGxSZXF1ZXN0NDEzMjYwNTY2,4029,Support overriding existing variables in to_zarr() without appending,1217238,closed,0,,,2,2020-05-05T01:06:40Z,2020-05-05T19:28:02Z,2020-05-05T19:28:02Z,MEMBER,,0,pydata/xarray/pulls/4029,"This is nice for consistency with `to_netcdf`. It should be useful for cases where users want to update values in existing Zarr datasets.



 - [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
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4029/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
187625917,MDExOlB1bGxSZXF1ZXN0OTI1MjQzMjg=,1087,WIP: New DataStore / Encoder / Decoder API for review,1217238,closed,0,,,8,2016-11-07T05:02:04Z,2020-04-17T18:37:45Z,2020-04-17T18:37:45Z,MEMBER,,0,pydata/xarray/pulls/1087,"The goal here is to make something extensible that we can live with for quite
some time, and to clean up the internals of xarray's backend interface.

Most of these are analogues of existing xarray classes with a cleaned up
interface. I have not yet worried about backwards compatibility or tests -- I
would appreciate feedback on the approach here.

Several parts of the logic exist for the sake of dask. I've included the word
""dask"" in comments to facilitate inspection by mrocklin.

CC @rabernat, @pwolfram, @jhamman, @mrocklin -- for review

CC @mcgibbon, @JoyMonteiro -- this is relevant to our discussion today about
adding support for appending to netCDF files. Don't let this stop you from
getting started on that with the existing interface, though.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/1087/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
557219435,MDExOlB1bGxSZXF1ZXN0MzY4ODQ5ODk0,3729,Remove garbage text inserted in DASK_LICENSE,1217238,closed,0,,,1,2020-01-30T01:46:47Z,2020-01-30T03:32:54Z,2020-01-30T03:32:51Z,MEMBER,,0,pydata/xarray/pulls/3729,"I'm not sure how this got here, but it was probably my fault at one point :)



 - [ ] Closes #xxxx
 - [ ] Tests added
 - [ ] Passes `isort -rc . && black . && mypy . && && flake8`
 - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3729/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 1, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
511640945,MDExOlB1bGxSZXF1ZXN0MzMxODAyMjE3,3439,Use cftime master for upstream-dev build,1217238,closed,0,,,1,2019-10-24T00:40:50Z,2019-10-24T01:28:20Z,2019-10-24T01:28:20Z,MEMBER,,0,pydata/xarray/pulls/3439,"Follow-up on #3436, needed now that https://github.com/Unidata/cftime/pull/127 has been merged.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3439/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
505661688,MDExOlB1bGxSZXF1ZXN0MzI3MDQ3NzQ3,3393,BUG: overrides to a dimension coordinate do not get aligned,1217238,closed,0,,,2,2019-10-11T06:22:42Z,2019-10-11T15:48:02Z,2019-10-11T15:47:58Z,MEMBER,,0,pydata/xarray/pulls/3393,"

I really should have known better than to remove this check -- there was a whole comment I had written explaining why it was there! I guess this is a lesson in why it's always important to write regression tests.

 - [x] Closes #3377
 - [x] Tests added
 - [x] Passes `black . && mypy . && flake8`
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3393/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
482663274,MDExOlB1bGxSZXF1ZXN0MzA4ODkwMzc4,3234,Explicitly keep track of indexes with merging,1217238,closed,0,,,4,2019-08-20T06:11:55Z,2019-10-04T04:43:12Z,2019-10-04T04:42:50Z,MEMBER,,0,pydata/xarray/pulls/3234,"Part of the explicit indexes refactor (https://github.com/pydata/xarray/issues/1603)

No user facing changes.

 - [x] Passes `black . && mypy . && flake8`
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3234/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
495380049,MDExOlB1bGxSZXF1ZXN0MzE4OTM4NDY5,3319,Fix isel performance regression,1217238,closed,0,,,0,2019-09-18T18:15:08Z,2019-09-18T18:33:16Z,2019-09-18T18:33:16Z,MEMBER,,0,pydata/xarray/pulls/3319,"xref #2227

Before:
    indexing.BooleanIndexing.time_indexing      898±0ms

After
    indexing.BooleanIndexing.time_indexing      401±0ms



 - [x] Passes `black . && mypy . && flake8`
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3319/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
494943997,MDExOlB1bGxSZXF1ZXN0MzE4NTk1NDE3,3316,"Clarify that ""scatter"" is a plotting method in what's new.",1217238,closed,0,,,3,2019-09-18T02:02:22Z,2019-09-18T03:47:46Z,2019-09-18T03:46:35Z,MEMBER,,0,pydata/xarray/pulls/3316,"When I read this, I thought it was referring to scattering data somehow :).
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3316/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
479914290,MDExOlB1bGxSZXF1ZXN0MzA2NzExNDYx,3210,sparse=True option for from_dataframe and from_series,1217238,closed,0,,,5,2019-08-13T01:09:19Z,2019-08-27T16:04:13Z,2019-08-27T08:54:26Z,MEMBER,,0,pydata/xarray/pulls/3210,"Fixes https://github.com/pydata/xarray/issues/3206

Example usage:

    In [3]: import pandas as pd
       ...: import numpy as np
       ...: import xarray
       ...: df = pd.DataFrame({
       ...:     'w': range(10),
       ...:     'x': list('abcdefghij'),
       ...:     'y': np.arange(0, 100, 10),
       ...:     'z': np.ones(10),
       ...: }).set_index(['w', 'x', 'y'])
       ...:

    In [4]: ds = xarray.Dataset.from_dataframe(df, sparse=True)

    In [5]: ds.z.data
    Out[5]: 



 - [x] Closes #3206, Closes #2139
 - [x] Tests added
 - [x] Passes `black . && mypy . && flake8`
 - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3210/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
484636272,MDExOlB1bGxSZXF1ZXN0MzEwNDczMTM5,3254,Fix duck array ops that were calling bottleneck on sparse arrays,1217238,closed,0,,,0,2019-08-23T17:31:11Z,2019-08-24T05:30:26Z,2019-08-24T05:08:57Z,MEMBER,,0,pydata/xarray/pulls/3254,"min and max are now working.

notnull was already fixed by one of my earlier PRs.

std/var/median are still broken, but only because sparse hasn't implemented
the corresponding NumPy functions yet (nanstd, nanvar and nanmedian).

rank needs pure NumPy implementation (not via bottleneck) if we want it to
work on sparse or dask arrays.



 - [x] Tests added
 - [x] Passes `black . && mypy . && flake8`
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3254/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
483017588,MDExOlB1bGxSZXF1ZXN0MzA5MTc3NzM3,3235,Fix xarray's test suite with the dask master,1217238,closed,0,,,2,2019-08-20T18:35:03Z,2019-08-20T22:25:23Z,2019-08-20T22:25:07Z,MEMBER,,0,pydata/xarray/pulls/3235,"We shouldn't be checking the details of dask's repr.



 - [x] Tests added
 - [x] Passes `black . && mypy . && flake8`
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3235/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
479932490,MDExOlB1bGxSZXF1ZXN0MzA2NzI1MTYx,3211,Array formatting fixes for sparse and NEP-18 arrays.,1217238,closed,0,,,4,2019-08-13T02:41:37Z,2019-08-16T19:14:04Z,2019-08-16T19:12:28Z,MEMBER,,0,pydata/xarray/pulls/3211,"I also did a bit of cleanup (e.g., renaming methods) in xarray.core.formatting.

Sparse arrays were previously not shown in the Dataset repr:

    
    Dimensions:  (x: 4)
    Coordinates:
        y        (x) int64 ...
    Dimensions without coordinates: x
    Data variables:
        a        (x) float64 ...""""""

Now they are:

    
    Dimensions:  (x: 4)
    Coordinates:
        y        (x) int64 
    Dimensions without coordinates: x
    Data variables:
        a        (x) float64 """"""



 - [x] Tests added
 - [x] Passes `black . && mypy . && flake8`
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3211/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
479412396,MDExOlB1bGxSZXF1ZXN0MzA2MzA5ODM5,3204,Remove duck_array_ops.as_like_arrays(),1217238,closed,0,,,1,2019-08-11T21:15:25Z,2019-08-12T15:06:47Z,2019-08-12T15:06:08Z,MEMBER,,0,pydata/xarray/pulls/3204,"It has some questionable coercion logic that no longer seems to be necessary.

Not a user facing change.



 - [x] Passes `black . && mypy . && flake8`
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3204/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
467978990,MDExOlB1bGxSZXF1ZXN0Mjk3NDk5NDcx,3132,Internal clean-up of isnull() to avoid relying on pandas,1217238,closed,0,,,2,2019-07-15T07:31:32Z,2019-08-05T03:29:20Z,2019-08-05T03:29:20Z,MEMBER,,0,pydata/xarray/pulls/3132,"This version should be much more compatible out of the box with duck typing.

No user facing changes.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3132/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
471177659,MDExOlB1bGxSZXF1ZXN0Mjk5OTQ0MzI3,3157,Temporarily remove pynio from py36 CI build,1217238,closed,0,,,0,2019-07-22T16:29:39Z,2019-07-22T16:44:55Z,2019-07-22T16:44:52Z,MEMBER,,0,pydata/xarray/pulls/3157,"This should get things building again.

xref https://github.com/pydata/xarray/issues/3154","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3157/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
469891383,MDExOlB1bGxSZXF1ZXN0Mjk5MDEyOTQz,3143,Remove the matplotlib=3.0 constraint from py36.yml,1217238,closed,0,,,1,2019-07-18T17:16:22Z,2019-07-18T17:39:59Z,2019-07-18T17:39:59Z,MEMBER,,0,pydata/xarray/pulls/3143,"The upstream issue that required the constraint seems to have been fixed:
https://github.com/barronh/pseudonetcdf/issues/69


","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3143/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
467799744,MDExOlB1bGxSZXF1ZXN0Mjk3MzcwNTAw,3122,Tell codecov that Azure is a CI provider,1217238,closed,0,,,0,2019-07-14T06:10:33Z,2019-07-14T08:02:52Z,2019-07-14T08:02:48Z,MEMBER,,0,pydata/xarray/pulls/3122,"In theory, this should make codecov wait until reports from Azure are back (and require that all Azure checks pass) before posting its comment.
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3122/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
464787713,MDExOlB1bGxSZXF1ZXN0Mjk0OTkzMzMw,3082,Cache root netCDF4.Dataset objects instead of groups,1217238,closed,0,,,4,2019-07-05T22:26:19Z,2019-07-10T16:01:45Z,2019-07-10T16:01:38Z,MEMBER,,0,pydata/xarray/pulls/3082,"NetCDF-C and HDF5 are not threads-safe, so it's likely that closing the file
object associated with one group could invalidate other open groups from the
same file.

Now, we cache a single object corresponding to the root group for each file,
and access sub-groups on the fly as needed.



 - [x] Closes https://github.com/pydata/xarray/issues/2954
 - [x] Tests added
 - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3082/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
464888388,MDExOlB1bGxSZXF1ZXN0Mjk1MDYxNTk0,3087,Suppress warnings and add test coverage,1217238,closed,0,,,4,2019-07-06T20:33:24Z,2019-07-10T01:16:53Z,2019-07-10T01:16:49Z,MEMBER,,0,pydata/xarray/pulls/3087,"- Suppressed various warnings.
- PsuedoNetCDF was not getting tested. Now it is.
- Added test coverage for `print_versions.py`","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3087/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
464796480,MDExOlB1bGxSZXF1ZXN0Mjk0OTk5OTM0,3084,One CI build for upstream dev versions,1217238,closed,0,,,1,2019-07-05T23:40:00Z,2019-07-06T20:02:41Z,2019-07-06T19:54:47Z,MEMBER,,0,pydata/xarray/pulls/3084,"Using pre-built wheels for NumPy and pandas, so hopefully things will install with reasonable speed.

Adapted from
https://github.com/dask/dask/blob/2.0.0/continuous_integration/travis/install.sh
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3084/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 1, ""eyes"": 0}",,,13221727,pull
464798268,MDExOlB1bGxSZXF1ZXN0Mjk1MDAxMjYz,3085,Fix codecov reports,1217238,closed,0,,,2,2019-07-05T23:58:56Z,2019-07-06T05:12:25Z,2019-07-06T05:01:11Z,MEMBER,,0,pydata/xarray/pulls/3085,"The location of the XML output was being changed by pytest-azurepipelines.


","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3085/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
421879216,MDExOlB1bGxSZXF1ZXN0MjYxODE2ODMw,2816,More explicit index handling in dataset.py,1217238,closed,0,,,0,2019-03-17T03:57:19Z,2019-07-05T17:49:59Z,2019-07-05T17:49:59Z,MEMBER,,0,pydata/xarray/pulls/2816,"More progress towards https://github.com/pydata/xarray/issues/1603 without any user facing changes.

The only part that's left is explicit index handling in merge.
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2816/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
463037547,MDExOlB1bGxSZXF1ZXN0MjkzNTk2MzM5,3072,Remove Travis-CI in favor of only using Azure Pipelines,1217238,closed,0,,,0,2019-07-02T06:06:31Z,2019-07-04T22:10:24Z,2019-07-04T22:10:19Z,MEMBER,,0,pydata/xarray/pulls/3072,"Azure seems to be working pretty well, e.g., we now use it for test coverage with codecov. I don't see any particular reason to keep Travis around at this point.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3072/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
463021297,MDExOlB1bGxSZXF1ZXN0MjkzNTgzNDI1,3070,Fix the ability to run network and flaky tests,1217238,closed,0,,,10,2019-07-02T05:02:44Z,2019-07-04T20:51:29Z,2019-07-04T20:51:29Z,MEMBER,,0,pydata/xarray/pulls/3070,"The old setup didn't seem to work on CI, even when we explicitly passed the
relevant flags.


","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3070/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
463363939,MDExOlB1bGxSZXF1ZXN0MjkzODU3NjM1,3075,Add FAQ entry clarifying what parts of xarray are public API,1217238,closed,0,,,0,2019-07-02T18:03:20Z,2019-07-04T03:24:41Z,2019-07-04T03:24:37Z,MEMBER,,0,pydata/xarray/pulls/3075,"xref https://github.com/Unidata/MetPy/issues/1077


","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3075/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
463010338,MDExOlB1bGxSZXF1ZXN0MjkzNTc0NzA1,3069,Cleanup uses of super() to use Python 3 only syntax,1217238,closed,0,,,1,2019-07-02T04:11:21Z,2019-07-02T15:48:16Z,2019-07-02T15:48:16Z,MEMBER,,0,pydata/xarray/pulls/3069,"No user facing changes


","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3069/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
463029506,MDExOlB1bGxSZXF1ZXN0MjkzNTg5ODg3,3071,Try installing pytest-azurepipelines,1217238,closed,0,,,2,2019-07-02T05:37:45Z,2019-07-02T13:34:13Z,2019-07-02T06:04:14Z,MEMBER,,0,pydata/xarray/pulls/3071,"See https://github.com/tonybaloney/pytest-azurepipelines

No user facing changes","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3071/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
462365620,MDExOlB1bGxSZXF1ZXN0MjkzMDc3OTM0,3063,Fix another OS X test that can be flakey on Azure,1217238,closed,0,,,0,2019-06-30T04:17:30Z,2019-07-02T03:35:23Z,2019-07-02T03:35:20Z,MEMBER,,0,pydata/xarray/pulls/3063,See https://github.com/pydata/xarray/pull/3058/checks?check_run_id=158702766 for an example failure,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3063/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
462364974,MDExOlB1bGxSZXF1ZXN0MjkzMDc3NDk4,3061,Internal cleanup in xarray.backends.file_manager,1217238,closed,0,,,0,2019-06-30T04:04:09Z,2019-07-02T03:34:58Z,2019-07-02T03:34:58Z,MEMBER,,0,pydata/xarray/pulls/3061,"
No user facing changes.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3061/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
462517912,MDExOlB1bGxSZXF1ZXN0MjkzMTg0Nzkz,3067,Tweak codecov.io configuration,1217238,closed,0,,,0,2019-07-01T05:33:22Z,2019-07-01T16:31:38Z,2019-07-01T16:31:33Z,MEMBER,,0,pydata/xarray/pulls/3067,"- Exclude `_version.py` from coverage, since it was generated from versioneer.
- Remove the ""reach"" graph from comments.
- Don't give PRs a failing status if they decrease coverage.
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3067/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
462365083,MDExOlB1bGxSZXF1ZXN0MjkzMDc3NTc5,3062,"Mark xarray as ""Production"" in setup.py rather than ""eta""",1217238,closed,0,,,0,2019-06-30T04:06:17Z,2019-07-01T15:40:23Z,2019-07-01T15:40:23Z,MEMBER,,0,pydata/xarray/pulls/3062,"Apparently some users have IT polices prohibiting the use of ""beta"" software!
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3062/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
462239596,MDExOlB1bGxSZXF1ZXN0MjkyOTk0OTMz,3058,Ensure xarray imports (and docs build) even without pandas.Panel,1217238,closed,0,,,2,2019-06-28T23:34:07Z,2019-06-30T18:01:13Z,2019-06-30T18:01:07Z,MEMBER,,0,pydata/xarray/pulls/3058,"It's being removed in the next pandas 0.25 release
(see https://github.com/pandas-dev/pandas/pull/27101).



 - [x] Closes #3057
 - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3058/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
462369398,MDExOlB1bGxSZXF1ZXN0MjkzMDgwNDA1,3064,Upload coverage from Azure to codecov.io,1217238,closed,0,,,1,2019-06-30T05:30:34Z,2019-06-30T06:55:33Z,2019-06-30T06:55:33Z,MEMBER,,0,pydata/xarray/pulls/3064,"
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3064/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
462329726,MDExOlB1bGxSZXF1ZXN0MjkzMDU2MTA4,3059,Fix test suite use of str(exception),1217238,closed,0,,,1,2019-06-29T18:45:58Z,2019-06-30T05:53:12Z,2019-06-29T19:23:09Z,MEMBER,,0,pydata/xarray/pulls/3059,"

This fixes test failures on master, as noted in #2706

 - [x] Tests added
 - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3059/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
462353985,MDExOlB1bGxSZXF1ZXN0MjkzMDcwNTcx,3060,DOC: reorganize whats-new for 0.12.2,1217238,closed,0,,,0,2019-06-30T00:32:15Z,2019-06-30T03:31:40Z,2019-06-30T03:31:35Z,MEMBER,,0,pydata/xarray/pulls/3060,xref https://github.com/pydata/xarray/issues/2977,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3060/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
459602791,MDExOlB1bGxSZXF1ZXN0MjkwOTA3MzI5,3040,Fix rolling window operations with dask when bottleneck is installed,1217238,closed,0,,,0,2019-06-23T18:11:16Z,2019-06-28T16:49:09Z,2019-06-28T16:49:04Z,MEMBER,,0,pydata/xarray/pulls/3040,"Previously, these operations could silently return incorrect results (dask
2.0), or use unbounded amounts of memory (older versions of dask).

This requires a fairly large refactoring, because deciding when to use
bottleneck now needs to be done at runtime rather than at import-time. These
methods are now constructed as methods rather being injected aftewards into
the class, which should also be a much more standard and understable design.



 - [x] Closes #2940
 - [x] Tests added
 - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3040/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
462101540,MDExOlB1bGxSZXF1ZXN0MjkyODg0MjUz,3055,Better add-conda-to-path template for azure pipelines,1217238,closed,0,,,1,2019-06-28T15:55:32Z,2019-06-28T16:07:06Z,2019-06-28T16:07:06Z,MEMBER,,0,pydata/xarray/pulls/3055,"Template time expansion should reduce the noise in the CI output.

Follow on to https://github.com/pydata/xarray/pull/3039","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3055/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
459569339,MDExOlB1bGxSZXF1ZXN0MjkwODg0OTY5,3039,Set up CI with Azure Pipelines (and remove Appveyor),1217238,closed,0,,,7,2019-06-23T12:16:56Z,2019-06-28T14:44:53Z,2019-06-27T20:44:12Z,MEMBER,,0,pydata/xarray/pulls/3039,xref https://github.com/astropy/astropy/pull/8445,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3039/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
461771791,MDExOlB1bGxSZXF1ZXN0MjkyNjIxNzYw,3052,Replace Appveyor with Azure Pipelines in README and contributor guide,1217238,closed,0,,,1,2019-06-27T22:12:11Z,2019-06-28T00:37:08Z,2019-06-28T00:37:05Z,MEMBER,,0,pydata/xarray/pulls/3052,"
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3052/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
458719321,MDExOlB1bGxSZXF1ZXN0MjkwMjYyNjUw,3036,Raise an error when doing rolling window operations with dask,1217238,closed,0,,,1,2019-06-20T15:16:41Z,2019-06-23T18:13:33Z,2019-06-23T18:12:16Z,MEMBER,,0,pydata/xarray/pulls/3036,"xref #2940, #2942



 - [x] Tests added
 - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3036/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
456963929,MDExOlB1bGxSZXF1ZXN0Mjg4ODcwMDQ0,3027,Ensure explicitly indexed arrays are preserved,1217238,closed,0,,,3,2019-06-17T14:21:18Z,2019-06-23T16:53:11Z,2019-06-23T16:49:23Z,MEMBER,,0,pydata/xarray/pulls/3027,"Fixes https://github.com/pydata/xarray/issues/3009

Previously, indexing an ImplicitToExplicitIndexingAdapter object could directly return an ExplicitlyIndexed object, which could not be indexed normally, e.g., `x[index]` could result in an object that could not be indexed properly. This resulted in broken behavior with dask's new `_meta` attribute.

I'm pretty sure this fix is appropriate, but it does introduce two failing tests with xarray on dask master. In particular, there are now errors raised inside two tests from dask's `blockwise_meta` helper function:
```
>       return meta.astype(dtype)
E       AttributeError: 'ImplicitToExplicitIndexingAdapter' object has no attribute 'astype'
```

cc @mrocklin  @pentschev



 - [x] Tests added
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3027/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
427452658,MDExOlB1bGxSZXF1ZXN0MjY2MDQ5Mzcz,2859,More consistency checks,1217238,closed,0,,,4,2019-03-31T22:04:12Z,2019-06-18T14:05:09Z,2019-06-18T14:05:09Z,MEMBER,,0,pydata/xarray/pulls/2859,"The first commit here is just https://github.com/pydata/xarray/pull/2858/files

It appears that we have our work cut-out for us -- about 180 failing tests if we turn on these more rigorous checks by default:
```
collected 8308 items

xarray/tests/test_accessors.py ............................................................................... [  0%]
..................................................................                                             [  1%]
xarray/tests/test_backends.py ...............................x..F.................F........................... [  2%]
......................x..F.................F......................F.FFFF.FFFFF.FFFFFFF......F.FxFFFF..F....... [  4%]
s...F.F.F.xxxxFFF.FFFF.FFFFF.FFFFFFF......F.FxFFFF..F.......s...F.F.F.xxxxFF..............................x..F [  5%]
.............................................x..F...............ss..............................x..F.......... [  6%]
.......................................x..F..........F...................................x..F................. [  8%]
...........................x..F..F..............................................x..F.................F........ [  9%]
.......FF..................................x..F.................F...............FF......F..................... [ 10%]
........x..F.................F...............FF......................................................sssssssss [ 11%]
sssssss.....................................x......F........ssssssssssssssssssssssssssssssssssssssssssssssssss [ 13%]
ssssssssssssssssssssssssssssss..........................................................................       [ 14%]
xarray/tests/test_backends_api.py .                                                                            [ 14%]
xarray/tests/test_backends_file_manager.py ...........................                                         [ 14%]
xarray/tests/test_backends_locks.py .                                                                          [ 14%]
xarray/tests/test_backends_lru_cache.py ........                                                               [ 14%]
xarray/tests/test_cftime_offsets.py .......................................................................... [ 15%]
.............................................................................................................. [ 17%]
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........                                                                                                       [ 39%]
xarray/tests/test_cftimeindex.py ............................................................................. [ 40%]
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.......................................................................................x                       [ 47%]
xarray/tests/test_cftimeindex_resample.py .................................................................... [ 47%]
.............................................................................................................. [ 49%]
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...................................................................................                            [ 54%]
xarray/tests/test_coding.py .........                                                                          [ 54%]
xarray/tests/test_coding_strings.py ...................                                                        [ 54%]
xarray/tests/test_coding_times.py ............................................................................ [ 55%]
.............................................................................................................. [ 56%]
.............................................................................................................. [ 58%]
..............................                                                                                 [ 58%]
xarray/tests/test_combine.py F.................................................x                               [ 59%]
xarray/tests/test_computation.py .................................                                             [ 59%]
xarray/tests/test_conventions.py ..............................................x..F............s...            [ 60%]
xarray/tests/test_dask.py ................................................x...................                 [ 61%]
xarray/tests/test_dataarray.py ............F.......................................................FF......... [ 62%]
................................s.s...F...................FFFF........................sss..................... [ 63%]
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..........................................................................................................ssss [ 68%]
sssssssss                                                                                                      [ 68%]
xarray/tests/test_dataset.py ..........................F..............F...FF....................F.F........... [ 69%]
...s.FFFFF...................FF..............F..............................FFF.F.FFF.FFFF..FFFFFFF...FFFF..FF [ 71%]
FFFF....F.....FFFFFF.......................................................................................... [ 72%]
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......................................................................................ssssssssssssssss........ [ 75%]
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...........................................................................................                    [ 78%]
xarray/tests/test_distributed.py FFFFFFFFFFsFsFss.FF                                                           [ 79%]
xarray/tests/test_dtypes.py .......................................                                            [ 79%]
xarray/tests/test_duck_array_ops.py .....................................ss..............ss..............ss... [ 80%]
...ss......ss..............ss......................................................ss......ss................. [ 81%]
.............ss..............ss..............ss......ss......ss..............ss............................... [ 83%]
.......................ss......ss................ssssssssss..........ssssssssss..........ssssssssss..........s [ 84%]
sssssssss..........ssssss..............ssssss..............ssssss..............ssssss..............sssssssssss [ 85%]
.s.s.s.s.sssssssssss.s.s.s.s.sssssssssss.s.s.s.s.sssssssssss.s.s.s.s.sssssss.s.s.s.s.s.s.sssssss.s.s.s.s.s.s.s [ 87%]
ssssss.s.s.s.s.s.s.sssssss.s.s.s.s.s.s........................................................................ [ 88%]
..................................                                                                             [ 88%]
xarray/tests/test_extensions.py ....                                                                           [ 88%]
xarray/tests/test_formatting.py ...............                                                                [ 88%]
xarray/tests/test_groupby.py ........                                                                          [ 89%]
xarray/tests/test_indexing.py ................................................................................ [ 90%]
......................................                                                                         [ 90%]
xarray/tests/test_interp.py FFFFFFFssFF..FF.........FF...FFFFFx.F.F....                                        [ 90%]
xarray/tests/test_merge.py .................                                                                   [ 91%]
xarray/tests/test_merge.py .................                                                                   [ 91%]
xarray/tests/test_missing.py .................................                                                 [ 91%]
xarray/tests/test_nputils.py ...                                                                               [ 91%]
xarray/tests/test_options.py ...........x                                                                      [ 91%]
xarray/tests/test_plot.py .................................................................................... [ 12%]
.............................................................................................................s [ 28%]
.....................................................................................sss...................... [ 44%]
.........................                                                                                      [ 48%]
xarray/tests/test_testing.py .                                                                                 [ 48%]
xarray/tests/test_tutorial.py ss                                                                               [ 48%]
xarray/tests/test_ufuncs.py FFF.....................................................................           [ 59%]
xarray/tests/test_utils.py ............................                                                        [ 63%]
xarray/tests/test_variable.py ................................................................................ [ 74%]
................................................................................xxxX.......................... [ 91%]
.......................................xxxxxxx...............                                                  [100%]

============= 180 failed, 7733 passed, 356 skipped, 38 xfailed, 1 xpassed, 10 warnings in 465.51 seconds =============
```","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2859/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
442316508,MDExOlB1bGxSZXF1ZXN0Mjc3NDU1ODYz,2952,Less verbose tests on Appveyor,1217238,closed,0,,,0,2019-05-09T16:09:32Z,2019-05-13T17:08:10Z,2019-05-13T17:08:10Z,MEMBER,,0,pydata/xarray/pulls/2952,"We don't want 10000 lines printing every single test :)
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2952/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
437996498,MDExOlB1bGxSZXF1ZXN0Mjc0MTQxMDY5,2925,Attempt to fix py35 build on Travis,1217238,closed,0,,,1,2019-04-28T00:15:14Z,2019-05-04T06:15:55Z,2019-05-04T06:15:54Z,MEMBER,,0,pydata/xarray/pulls/2925,"This build is currently install NumPy 1.11, which isn't supported by xarray.
Maybe adding minimum numpy and pandas versions will help.


","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2925/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
430272298,MDExOlB1bGxSZXF1ZXN0MjY4MTk1NzU3,2878,Fix mypy typing error in cftime_offsets.py,1217238,closed,0,,,0,2019-04-08T06:14:47Z,2019-04-08T06:42:47Z,2019-04-08T06:42:31Z,MEMBER,,0,pydata/xarray/pulls/2878,"

","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2878/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
427451138,MDExOlB1bGxSZXF1ZXN0MjY2MDQ4MzEw,2858,Various fixes for explicit Dataset.indexes,1217238,closed,0,,,5,2019-03-31T21:48:47Z,2019-04-04T22:59:48Z,2019-04-04T21:58:24Z,MEMBER,,0,pydata/xarray/pulls/2858,"I've added internal consistency checks to the uses of ``assert_equal`` in our
test suite, so this shouldn't happen again.



 - [x] Closes #2856, closes #2854
 - [x] Tests added
 - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2858/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
424274061,MDExOlB1bGxSZXF1ZXN0MjYzNjYzOTA5,2845,Fix indexes created by Dataset.swap_dims,1217238,closed,0,,,0,2019-03-22T15:43:28Z,2019-03-25T02:30:29Z,2019-03-25T02:30:29Z,MEMBER,,0,pydata/xarray/pulls/2845,"
 - [x] Closes #2842
 - [x] Tests added
 - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2845/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
422023339,MDExOlB1bGxSZXF1ZXN0MjYxOTA2MjI4,2818,DOC: remove outdated warning,1217238,closed,0,,,0,2019-03-18T03:35:26Z,2019-03-20T19:07:59Z,2019-03-20T19:07:59Z,MEMBER,,0,pydata/xarray/pulls/2818,This deprecation was finished in v0.11.0.,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2818/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
420840205,MDExOlB1bGxSZXF1ZXN0MjYxMDMxMjA0,2809,Push back finalizing deprecations for 0.12,1217238,closed,0,,,2,2019-03-14T05:39:46Z,2019-03-15T04:22:11Z,2019-03-15T04:22:10Z,MEMBER,,0,pydata/xarray/pulls/2809,"0.12 will already have a big change in dropping Python 2.7 support. I'd rather
wait a bit longer to finalize these deprecations to minimize the impact on
users.

xref https://github.com/pydata/xarray/issues/2776

","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2809/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
420840237,MDExOlB1bGxSZXF1ZXN0MjYxMDMxMjI5,2810,Drop failing tests writing multi-dimensional arrays as attributes,1217238,closed,0,,,0,2019-03-14T05:39:59Z,2019-03-14T15:59:18Z,2019-03-14T15:59:13Z,MEMBER,,0,pydata/xarray/pulls/2810,"These aren't valid for netCDF files.

Fixes #2803


","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2810/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
395332265,MDExOlB1bGxSZXF1ZXN0MjQxODExMjc4,2642,Use pycodestyle for lint checks.,1217238,closed,0,,,6,2019-01-02T18:11:38Z,2019-03-14T06:27:20Z,2019-01-03T18:10:13Z,MEMBER,,0,pydata/xarray/pulls/2642,"flake8 includes a few more useful checks, but it's annoying to only see it's
output in Travis-CI results.

This keeps Travis-CI and pep8speaks in sync.
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2642/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
408019919,MDExOlB1bGxSZXF1ZXN0MjUxMzYyMjA3,2756,Update computation.py to use Python 3 function signatures,1217238,closed,0,,,1,2019-02-08T06:11:13Z,2019-02-12T05:39:37Z,2019-02-12T05:39:37Z,MEMBER,,0,pydata/xarray/pulls/2756,"This lets us remove lots of ugly explicit calls to ``kwargs.pop()``.
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2756/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
407830312,MDExOlB1bGxSZXF1ZXN0MjUxMjE1MjU3,2753,Fix mypy errors,1217238,closed,0,,,0,2019-02-07T18:12:53Z,2019-02-08T04:45:33Z,2019-02-08T04:45:32Z,MEMBER,,0,pydata/xarray/pulls/2753,"Apparently I wasn't paying attention in my last PR :)
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2753/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
401467505,MDExOlB1bGxSZXF1ZXN0MjQ2MzgwNjk0,2696,Refactor (part of) dataset.py to use explicit indexes,1217238,closed,0,,,1,2019-01-21T18:28:27Z,2019-02-06T16:07:42Z,2019-02-06T16:07:39Z,MEMBER,,0,pydata/xarray/pulls/2696,"This is part of the larger project in https://github.com/pydata/xarray/issues/1603

None of this should change public APIs: we're simply making updating indexes explicit (via the `indexes` dict) rather than implicit (through variables).","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2696/reactions"", ""total_count"": 2, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 1, ""eyes"": 0}",,,13221727,pull
406049184,MDExOlB1bGxSZXF1ZXN0MjQ5ODUzNTIz,2739,Reenable cross engine read write netCDF test,1217238,closed,0,,,0,2019-02-03T03:44:07Z,2019-02-04T04:42:17Z,2019-02-04T04:42:17Z,MEMBER,,0,pydata/xarray/pulls/2739,"Fixes https://github.com/pydata/xarray/issues/2050

I'm not quite sure what was going on, but it passes now.



 - [x] Closes #2050
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2739/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
365961291,MDExOlB1bGxSZXF1ZXN0MjE5NzUyOTE3,2458,WIP: sketch of resample support for CFTimeIndex,1217238,closed,0,,,5,2018-10-02T15:44:36Z,2019-02-03T03:21:52Z,2019-02-03T03:21:52Z,MEMBER,,0,pydata/xarray/pulls/2458,"Example usage:

```
>>> import xarray
>>> times = xarray.cftime_range('2000', periods=30, freq='MS')
>>> da = xarray.DataArray(range(30), [('time', times)])
>>> da.resample(time='1AS').mean()

array([ 5.5, 17.5, 26.5])
Coordinates:
  * time     (time) object 2001-01-01 00:00:00 ... 2003-01-01 00:00:00
```","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2458/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 1, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
403521700,MDExOlB1bGxSZXF1ZXN0MjQ3OTM2NjM2,2720,Fix test failures / warnings for pandas 0.24,1217238,closed,0,,,0,2019-01-27T07:08:59Z,2019-01-27T21:02:04Z,2019-01-27T21:02:03Z,MEMBER,,0,pydata/xarray/pulls/2720," - [x] Closes #2717
 - [x] Tests added
 - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2720/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
403489769,MDExOlB1bGxSZXF1ZXN0MjQ3OTE3NTk5,2718,DOC: refresh whats-new for 0.11.3 / 0.12.0,1217238,closed,0,,,0,2019-01-26T22:15:54Z,2019-01-27T17:11:48Z,2019-01-27T17:11:48Z,MEMBER,,0,pydata/xarray/pulls/2718,I just pushed the 0.11.3 bug-fix release to pypi.,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2718/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
403299287,MDExOlB1bGxSZXF1ZXN0MjQ3Nzg3NTE5,2708,Update environment for doc build,1217238,closed,0,,,0,2019-01-25T19:22:21Z,2019-01-26T18:16:56Z,2019-01-26T18:14:50Z,MEMBER,,0,pydata/xarray/pulls/2708,"We were pinning very old versions for most of these packages. This should
fix the failures on ReadTheDocs after https://github.com/pydata/xarray/pull/2707 goes in.



 - [x] Closes #2705
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2708/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
403299817,MDExOlB1bGxSZXF1ZXN0MjQ3Nzg3OTEy,2709,Print full environment fron conf.py,1217238,closed,0,,,1,2019-01-25T19:23:57Z,2019-01-25T21:52:18Z,2019-01-25T21:52:18Z,MEMBER,,0,pydata/xarray/pulls/2709,"This should make it easier to debug the doc build environment.


","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2709/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
403288066,MDExOlB1bGxSZXF1ZXN0MjQ3Nzc4MzQ2,2707,BUG: ensure indexes are reset when coords are modified,1217238,closed,0,,,0,2019-01-25T18:57:31Z,2019-01-25T19:55:41Z,2019-01-25T19:55:07Z,MEMBER,,0,pydata/xarray/pulls/2707,"This was introduced by the recent indexes refactor, but never made it into a
release.
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2707/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
402802055,MDExOlB1bGxSZXF1ZXN0MjQ3NDAzNTI2,2704,Write docs for 0.11.3 release,1217238,closed,0,,,0,2019-01-24T16:54:21Z,2019-01-24T19:06:08Z,2019-01-24T19:04:12Z,MEMBER,,0,pydata/xarray/pulls/2704,"

I'll port these to master separately, given that this commit probably won't apply cleanly.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2704/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
399257829,MDExOlB1bGxSZXF1ZXN0MjQ0NzI2NTE5,2675,Fix test failures with numpy=1.16,1217238,closed,0,,,0,2019-01-15T09:33:00Z,2019-01-15T11:19:59Z,2019-01-15T11:19:59Z,MEMBER,,0,pydata/xarray/pulls/2675,"Fixes https://github.com/pydata/xarray/issues/2673

Note that these were only test failures, not a real bug.



 - [x] Closes #2673
 - [x] Tests added
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2675/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
398674031,MDExOlB1bGxSZXF1ZXN0MjQ0Mjg5MzEy,2669,xfail cftimeindex multiindex test,1217238,closed,0,,,1,2019-01-13T16:28:40Z,2019-01-13T17:11:40Z,2019-01-13T17:07:19Z,MEMBER,,0,pydata/xarray/pulls/2669,"It was a nice idea to support CFTimeIndex in a pandas.MultiIndex, but pandas
seems to have inadvertently broken this, see
https://github.com/pandas-dev/pandas/issues/24263

(This should fix our failing CI tests with pandas 0.24 rc)

","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2669/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
396314764,MDExOlB1bGxSZXF1ZXN0MjQyNTMwNTgx,2657,"DOC: refresh ""Why xarray"" and shorten top-level description",1217238,closed,0,,,1,2019-01-07T01:02:59Z,2019-01-11T01:06:11Z,2019-01-11T01:06:10Z,MEMBER,,0,pydata/xarray/pulls/2657,"This documentation revamp builds upon @rabernat's rewrite in #2430.

The main change is that the three paragraph description felt too long to me, so I moved the background paragraph on multi-dimensional arrays into the next section, on ""Why xarray"". I also ended up rewriting most of that page, and made a few adjustments to the FAQ and related projects pages.
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2657/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
396989505,MDExOlB1bGxSZXF1ZXN0MjQzMDM5NzQ4,2661,Remove broken Travis-CI builds,1217238,closed,0,,,3,2019-01-08T16:40:24Z,2019-01-08T18:34:04Z,2019-01-08T18:34:00Z,MEMBER,,0,pydata/xarray/pulls/2661,"Remove the optional condaforge-rc, netcdf4-dev and pynio-dev builds. These
have been continuously failing (due to broken installs), so we shouldn't waste
time/energy running them.


","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2661/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
396241341,MDExOlB1bGxSZXF1ZXN0MjQyNDgzOTQx,2655,Type checking with mypy,1217238,closed,0,,,4,2019-01-06T09:08:11Z,2019-01-08T07:21:41Z,2019-01-08T07:21:41Z,MEMBER,,0,pydata/xarray/pulls/2655,"The rest of the scientific Python stack doesn't seem to support type annotations yet, but that's OK -- we can use this incrementally in xarray when it seems appropriate, and may check a few bugs. I'm especially excited to use this for internal functions, where we don't always bother with full docstrings (e.g., what is the type of the ``variables`` argument?).

This includes:
1. various minor fixes to ensure that ""mypy xarray"" passes.
2. ~~adding ""mypy xarray"" to our lint check on Travis-CI.~~

For reference, see ""Using mypy with an existing codebase"":
https://mypy.readthedocs.io/en/stable/existing_code.html

Question: are we OK with (2)? This means Travis-CI will fail if your code causes mypy to error.


","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2655/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 1, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
312077122,MDExOlB1bGxSZXF1ZXN0MTgwMDI0Mjky,2041,Add reference on MCVE to GitHub issue template,1217238,closed,0,,,0,2018-04-06T18:41:34Z,2019-01-06T06:17:43Z,2018-04-11T21:38:50Z,MEMBER,,0,pydata/xarray/pulls/2041,,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2041/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
395045813,MDExOlB1bGxSZXF1ZXN0MjQxNjExMTU4,2639,ENH: switch Dataset and DataArray to use explicit indexes,1217238,closed,0,,,2,2019-01-01T00:48:42Z,2019-01-04T21:07:45Z,2019-01-04T17:15:34Z,MEMBER,,0,pydata/xarray/pulls/2639,"xref https://github.com/pydata/xarray/issues/1603

This change switches Dataset.indexes and DataArray.indexes to be backed by
explicit dictionaries of indexes, instead of being implicitly defined by
the set of coordinates with names matching dimensions.

There are no changes to the public interface yet: these will come later.

My current plan:
1. (This PR) Indexes are recreated from coordinates every time a new DataArray
or Dataset is created.
2. (Follow-up PRs) Refactor indexes to be propagated explicitly in xarray operations. This will facilitate future API changes, when indexes will no longer only be associated with dimensions. I will probably add some testing decorator that can be used to mark part of a test as including no creation of default indexes.
3. Add explicit entries into `indexes` for MultiIndex levels that are checked instead of MultiIndex variables. Still no public API changes (aside from adding more entries to `.indexes`). 
4. Support arbitrary coordinates in `indexes`.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2639/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
395336962,MDExOlB1bGxSZXF1ZXN0MjQxODE0ODY3,2643,BUG: pytest-runner not required for setup.py,1217238,closed,0,,,2,2019-01-02T18:29:36Z,2019-01-03T01:14:38Z,2019-01-03T01:14:38Z,MEMBER,,0,pydata/xarray/pulls/2643,"

 - [x] Closes #2641
 - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2643/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
395041455,MDExOlB1bGxSZXF1ZXN0MjQxNjA4MTIx,2638,TST: silence warnings from bottleneck,1217238,closed,0,,,0,2018-12-31T23:27:18Z,2018-12-31T23:48:41Z,2018-12-31T23:48:35Z,MEMBER,,0,pydata/xarray/pulls/2638,These were adding a lot of noise to the output of our test suite -- something like 500 lines of useless warnings!,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2638/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
388977754,MDExOlB1bGxSZXF1ZXN0MjM3MTAyNjYz,2595,Close files when CachingFileManager is garbage collected,1217238,closed,0,,,5,2018-12-09T01:53:50Z,2018-12-23T20:11:35Z,2018-12-23T20:11:32Z,MEMBER,,0,pydata/xarray/pulls/2595,"This frees users from needing to worry about this.

Using `__del__` turned up to be easier than  using weak references.

 - [x] Closes #2560 
 - [x] Closes #2614
 - [x] Tests added
 - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new AP
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2595/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
392259525,MDExOlB1bGxSZXF1ZXN0MjM5NTcxMjQ5,2617,Remove failing Appveyor Python 2.7 32-bit build,1217238,closed,0,,,0,2018-12-18T17:27:38Z,2018-12-19T03:57:03Z,2018-12-19T03:56:59Z,MEMBER,,0,pydata/xarray/pulls/2617,"There seems to be some sort of dependency issue on Appveyor, but it's not
worth tracking down given how we'll be dropping Python 2.7 in the new year
anyways.


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