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id ▼ node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
63734185 MDExOlB1bGxSZXF1ZXN0NjM3MzQxODU= 800 closed 0 Adds dask lock capability for backend writes pwolfram 4295853 This fixes an error on an asynchronous write for `to_netcdf` resulting in an `dask.async.RuntimeError: NetCDF: HDF error` Resolves issue https://github.com/pydata/xarray/issues/793 following dask improvement at https://github.com/dask/dask/pull/1053 following advice of @shoyer. 2016-03-22T14:59:56Z 2016-03-22T22:44:50Z 2016-03-22T22:32:30Z 2016-03-22T22:32:30Z bbe969024eddf5b91caf1844efc5b0be8c19e286     0 759db6e17958b9e5800560cdf5cf46bf16ad5584 899d1be2fd1e57b42663360c7b6e17eae4160ecd CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/800  
64801017 MDExOlB1bGxSZXF1ZXN0NjQ4MDEwMTc= 812 closed 0 Adds cummulative operators to API pwolfram 4295853 This PR will add cumsum and cumprod as discussed in https://github.com/pydata/xarray/issues/791 as well ensuring `cumprod` works for the API, resolving issues discussed at https://github.com/pydata/xarray/issues/807. TO DO (dependencies) - [x] Add `nancumprod` and `nancumsum` to numpy (https://github.com/numpy/numpy/pull/7421) - [x] Add `nancumprod` and `nancumsum` to dask (https://github.com/dask/dask/pull/1077) This PR extends infrastructure to support `cumsum` and `cumprod` (https://github.com/pydata/xarray/issues/791). References: - https://github.com/numpy/numpy/pull/7421 cc @shoyer, @jhamman 2016-03-31T14:37:50Z 2016-10-03T21:11:30Z 2016-10-03T21:05:33Z 2016-10-03T21:05:32Z 9cf107b522188e206bd15f4620bc3b55ca30e616     0 129c807be4df7f07dce5825af3982ffd8052895b c10a9df6522eca2c4d0942703f2b6fa21f9c8776 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/812  
64981337 MDExOlB1bGxSZXF1ZXN0NjQ5ODEzMzc= 815 closed 0 Add drop=True option for where on Dataset and DataArray pwolfram 4295853 Addresses #811 to provide a Dataset and DataArray `sel_where` which returns a Dataset or DataArray of minimal coordinate size. 2016-04-01T17:55:55Z 2016-09-20T14:23:05Z 2016-04-10T00:33:00Z 2016-04-10T00:33:00Z 28ee86afa683ce7c77e339d15d1220503df3d0ee     0 80cc528bff9fabb5e79e9524d4a18bd81ef2e19e 4fdf6d4001b1c8f7b8054c1f3bdbffa25949406b CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/815  
69172755 MDExOlB1bGxSZXF1ZXN0NjkxNzI3NTU= 845 closed 0 Fixes doc typo pwolfram 4295853 To entirely add or removing coordinate arrays, you can use dictionary like to To entirely add or remove coordinate arrays, you can use dictionary like 2016-05-06T16:04:18Z 2016-09-20T14:23:14Z 2016-05-06T16:35:05Z 2016-05-06T16:35:05Z 9f5a6ac3feb35feb7202aa00e3666c9310bab42c     0 7d94c516baa65c75b58efce71f30813fda7ad152 b25d145b092e1f0ae6555e9ac2103a7afb838592 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/845  
87742962 MDExOlB1bGxSZXF1ZXN0ODc3NDI5NjI= 1031 closed 0 Fixes doc formating error pwolfram 4295853 This fixes a typo in the what's new documentation. 2016-10-03T16:00:29Z 2017-03-22T17:27:10Z 2016-10-03T16:15:19Z 2016-10-03T16:15:19Z c10a9df6522eca2c4d0942703f2b6fa21f9c8776     0 54f50ba7153ed17283180e9f86cc8aa9acd20aa9 0e044ce807fa0ee15703c8b4088bf41ae8e99116 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/1031  
87770959 MDExOlB1bGxSZXF1ZXN0ODc3NzA5NTk= 1032 closed 0 Fixes documentation typo pwolfram 4295853 This is another really minor typo... 2016-10-03T18:57:21Z 2017-03-22T17:27:10Z 2016-10-03T21:03:07Z 2016-10-03T21:03:07Z 573541e30ee3136237642cc30f4004cd4af66281     0 d980c7afb4c575bc55a76a4f147bfc1cac40b96f c10a9df6522eca2c4d0942703f2b6fa21f9c8776 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/1032  
87995378 MDExOlB1bGxSZXF1ZXN0ODc5OTUzNzg= 1038 closed 0 Attributes from netCDF4 intialization retained pwolfram 4295853 Ensures that attrs for open_mfdataset are now retained cc @shoyer 2016-10-04T23:51:48Z 2017-03-31T03:11:07Z 2017-03-31T03:11:07Z 2017-03-31T03:11:07Z c0178b7b8b385dc65482099b1ff87ec81f7c51c2     0 0d183c568bac57e569478b47b6c2e3bbd1753495 371d034372bc7522098a142a0debf93916c49102 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/1038  
100929563 MDExOlB1bGxSZXF1ZXN0MTAwOTI5NTYz 1198 closed 0 Fixes OS error arising from too many files open pwolfram 4295853 Previously, DataStore did not judiciously close files, resulting in opening a large number of files that could result in an OSError related to too many files being open. This merge provides a solution for the netCDF, scipy, and h5netcdf backends. 2017-01-10T18:37:41Z 2017-03-23T19:21:27Z 2017-03-23T19:20:03Z 2017-03-23T19:20:03Z 371d034372bc7522098a142a0debf93916c49102     0 20c5c3b660d02d200e414a38654b1ff2bbd1599e b3fc6c4e4fafdf4f075b791594633970a787ad79 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/1198  
113043425 MDExOlB1bGxSZXF1ZXN0MTEzMDQzNDI1 1336 closed 0 Marks slow, flaky, and failing tests pwolfram 4295853 Closes #1309 2017-03-28T19:03:20Z 2017-04-07T04:36:08Z 2017-04-03T05:30:16Z 2017-04-03T05:30:16Z 685ba0671785eb402d4ed8aa390c7421ed80e5c6     0 57d33249c233afc6cc0d71f88e16398eb0406f70 d08efaf902cae5e5f28afff7d6f8182e35a53f46 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/1336  
113497745 MDExOlB1bGxSZXF1ZXN0MTEzNDk3NzQ1 1342 closed 0 Ensures drop=True case works with empty mask pwolfram 4295853 Resolves error occurring for python 2.7 for the case of `where(mask, drop=True)` where the mask is empty. - [x] closes #1341 - [X] tests added - [x] tests passed - [x] passes ``git diff upstream/master | flake8 --diff`` - [x] whatsnew entry 2017-03-30T18:45:34Z 2017-04-02T22:45:01Z 2017-04-02T22:43:53Z 2017-04-02T22:43:53Z 56cec4613715fb77d86fe3b2bd88137adc97e74d     0 dcef972ff5b95c3e82cd32fae10bf0a8824ce1c6 c0178b7b8b385dc65482099b1ff87ec81f7c51c2 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/1342  

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CREATE TABLE [pull_requests] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [state] TEXT,
   [locked] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [body] TEXT,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [merged_at] TEXT,
   [merge_commit_sha] TEXT,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [draft] INTEGER,
   [head] TEXT,
   [base] TEXT,
   [author_association] TEXT,
   [auto_merge] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [url] TEXT,
   [merged_by] INTEGER REFERENCES [users]([id])
);
CREATE INDEX [idx_pull_requests_merged_by]
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CREATE INDEX [idx_pull_requests_repo]
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CREATE INDEX [idx_pull_requests_milestone]
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CREATE INDEX [idx_pull_requests_assignee]
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CREATE INDEX [idx_pull_requests_user]
    ON [pull_requests] ([user]);
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