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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
21616322 MDExOlB1bGxSZXF1ZXN0MjE2MTYzMjI= 238 closed 0 fix NaT in dataset repr shoyer 1217238   2014-09-22T23:22:26Z 2014-09-22T23:35:13Z 2014-09-22T23:35:12Z 2014-09-22T23:35:12Z ee51fd8c6de14f63e6509dcbffcaeb8106dc66e7   0.3.1 799012 0 14c3ec311a48d7596f3573ac565a4bbc8d2a5220 1eb935129b78850ddae1f2b23b785138aa0ce14d MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/238  
21655655 MDExOlB1bGxSZXF1ZXN0MjE2NTU2NTU= 239 closed 0 Read a gzipped netcdf file lakshmanok 1742823   2014-09-23T15:54:04Z 2014-09-23T22:13:00Z 2014-09-23T22:13:00Z 2014-09-23T22:12:59Z 53d5226b35d7e9ef6ec8d2b5bf4902f60e0d7e91   0.3.1 799012 0 4718c484b4efd2c60c51422eb8226d50574d2421 97db2b70b15be3357d5373b12f702b5457cc1ae4 NONE   xarray 13221727 https://github.com/pydata/xarray/pull/239  
21664152 MDExOlB1bGxSZXF1ZXN0MjE2NjQxNTI= 240 closed 0 Fix indexing NaT scalars shoyer 1217238   2014-09-23T18:02:25Z 2014-09-24T01:23:39Z 2014-09-24T01:23:38Z 2014-09-24T01:23:38Z 76b1624c88b312ec51153dd91d788cde73eca70c   0.3.1 799012 0 42964a3a8181b4c06f9d59ae79efb86ff7ce75a0 97db2b70b15be3357d5373b12f702b5457cc1ae4 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/240  
22158517 MDExOlB1bGxSZXF1ZXN0MjIxNTg1MTc= 245 closed 0 Modular encodings (rebased) shoyer 1217238 This change is rebased on master and should let us pick up from #175. CC @akleeman --- Restructured Backends to make CF convention application more consistent. Amongst other things this includes: - EncodedDataStores which can wrap other stores and allow for modular encoding/decoding. - Trivial indices ds['x'] = ('x', np.arange(10)) are no longer stored on disk and are only created when accessed. - AbstractDataStore API change. Shouldn't effect external users. - missing_value attributes now function like _FillValue All current tests are passing (though it could use more new ones). --- Post rebase notes (shoyer, Oct 2, 2014): Most tests are passing, though a couple are broken: - test_roundtrip_mask_and_scale (because this change needs a fix to not break the current API) - test_roundtrip_strings_with_fill_value on TestCFEncodedDataStore (I don't entirely understand why, let's come back to it later) 2014-10-02T18:05:50Z 2014-10-23T06:27:16Z 2014-10-11T21:30:07Z 2014-10-11T21:30:07Z 1ffb07531be0f686eeacb9f462ebb4697fda31d4   0.3.1 799012 0 ad7df2b257b1dc6e391d01c2e04af2e1e97eb797 b681af2df89b9de1dcded5d597391f919ffa15e6 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/245  
22404937 MDExOlB1bGxSZXF1ZXN0MjI0MDQ5Mzc= 247 closed 0 add count() method for missing values to Dataset and DataArray shoyer 1217238 Should work just like count on pandas objects 2014-10-08T07:30:05Z 2014-10-08T18:22:50Z 2014-10-08T18:22:49Z 2014-10-08T18:22:49Z d31a1b3be2e3f809883f54beaaa078610d0673b5   0.3.1 799012 0 62c0ff1ecba142134b3697ecd32d4baf05f5393a 04c442a27a5acffa881c7274908c77392058f19f MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/247  
22513937 MDExOlB1bGxSZXF1ZXN0MjI1MTM5Mzc= 249 closed 0 Documentation tweaks shoyer 1217238 - Took another pass through the quick overview and FAQ - Reorganized the TOC 2014-10-09T18:35:45Z 2014-10-10T03:29:09Z 2014-10-10T03:29:07Z 2014-10-10T03:29:07Z 5e634849a94eaa5c27c01482a8595eea6558c25f   0.3.1 799012 0 336b3a4fb5268459abf49449cf8a7e7114988173 a0725c2b66c0485001d424ab2462c8a9dc2308bf MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/249  
22596857 MDExOlB1bGxSZXF1ZXN0MjI1OTY4NTc= 250 closed 0 Allow label based slicing with 0d data arrays shoyer 1217238   2014-10-11T00:50:38Z 2014-10-11T01:00:44Z 2014-10-11T01:00:42Z 2014-10-11T01:00:42Z e48cf0f68187357d591f20b37ffbc9a8650347e4   0.3.1 799012 0 dc0b1bdcb9691dc6ba8d8474ee3a64751d25c5a7 24195dac0948e6bc43c79a212b1bd30be8052e5f MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/250  
22629238 MDExOlB1bGxSZXF1ZXN0MjI2MjkyMzg= 251 closed 0 Encoding improvements shoyer 1217238 Follow ups on #245. CC @akleeman (more to come) 2014-10-13T07:29:51Z 2014-10-14T00:23:34Z 2014-10-14T00:23:33Z 2014-10-14T00:23:33Z 2c876414cde62b05926b849dad9e3f9316b38a02   0.3.1 799012 0 c748e0f5a7bce0fac59e9e23f19fe16ba2f19e75 88397235cc8008c90c9a4dbef3fee110864a54c1 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/251  
22827874 MDExOlB1bGxSZXF1ZXN0MjI4Mjc4NzQ= 252 closed 0 Add dropna method to Dataset and DataArray shoyer 1217238 Fixes #58 2014-10-16T01:48:32Z 2014-10-17T20:02:24Z 2014-10-17T20:02:22Z 2014-10-17T20:02:22Z 4bb491cc78b709581da9954e67e77922e34ae7e6   0.3.1 799012 0 1dd23afcebc91671711637146bf20eb3a2f9cdc7 6c5d272f09fe89675f193416fa5a7b480bd143c6 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/252  
22956141 MDExOlB1bGxSZXF1ZXN0MjI5NTYxNDE= 256 closed 0 Add DataArray.to_pandas shoyer 1217238 Implements half of #225 We still need documentation updates, and for consistency should probably add `Dataset.to_pandas` as well. 2014-10-17T22:10:14Z 2014-10-20T02:55:08Z 2014-10-20T02:55:06Z 2014-10-20T02:55:06Z 479f509a98ec0f9d9a1effbfc1b75e83d220d5f2   0.3.1 799012 0 47df2843af851d02db63966c8b6fbd7537bea736 4bfa9ac5d68f508267b337fc55a287276ba0f78e MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/256  
22991570 MDExOlB1bGxSZXF1ZXN0MjI5OTE1NzA= 257 closed 0 Fix arrays names when doing arithmetic shoyer 1217238 Fixes #254. 2014-10-20T03:37:43Z 2014-10-20T03:48:48Z 2014-10-20T03:48:45Z 2014-10-20T03:48:45Z e1c76ab10e89058046d99f3c7afbf5eebafa7512   0.3.1 799012 0 259816e33b9ce2d9c16fb60c0f203f578a2c4be3 b4361b45b41365974316cba20fd39b6f73954fca MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/257  
22996490 MDExOlB1bGxSZXF1ZXN0MjI5OTY0OTA= 258 closed 0 Include test data in source distribution shoyer 1217238 Fixes #253 2014-10-20T07:19:07Z 2014-10-20T07:32:05Z 2014-10-20T07:32:03Z 2014-10-20T07:32:03Z 106906b9f506907020e2de511b4b71ffa5908853   0.3.1 799012 0 98306bbe72e84aad60c34cc8a50d5e73d82cdc95 43f560ac215c844dc2d9b6cd8e6330557097107a MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/258  
23137765 MDExOlB1bGxSZXF1ZXN0MjMxMzc3NjU= 261 closed 0 Improved broadcasting and new broadcast_arrays function shoyer 1217238   2014-10-22T06:43:29Z 2014-10-22T23:44:07Z 2014-10-22T23:44:04Z 2014-10-22T23:44:04Z f9c8574c2613e7e23a9ab106d8face10485dfb1e   0.3.1 799012 0 982276ceb6df7230a733e4e64d587f837de4d723 ad43f0b1405ec5b4c59100c9a47aa57d73e3f53e MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/261  
23202907 MDExOlB1bGxSZXF1ZXN0MjMyMDI5MDc= 262 closed 0 Fixes for pandas 0.15 shoyer 1217238   2014-10-23T02:10:06Z 2014-10-23T02:30:10Z 2014-10-23T02:30:08Z 2014-10-23T02:30:08Z 126f3284bf9c532e926167c99f216095db34f5fc   0.3.1 799012 0 09a20ac509665729346b317dbecd0d217d8fa379 ec6f9f197e7d9b261c4066ab8ea22bc4d9061db2 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/262  
23207857 MDExOlB1bGxSZXF1ZXN0MjMyMDc4NTc= 263 closed 0 Update docs shoyer 1217238   2014-10-23T05:43:12Z 2014-10-23T05:50:42Z 2014-10-23T05:50:41Z 2014-10-23T05:50:41Z 7e8019719b20b5a83832ea9d693465c54a89f867   0.3.1 799012 0 0141469602e3aefca525e1479445bf8d9c0f9374 841abc47a83070f29c9ddabe88e8e3907439b50b MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/263  

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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,
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   [updated_at] TEXT,
   [closed_at] TEXT,
   [merged_at] TEXT,
   [merge_commit_sha] TEXT,
   [assignee] INTEGER REFERENCES [users]([id]),
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   [head] TEXT,
   [base] TEXT,
   [author_association] TEXT,
   [auto_merge] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [url] TEXT,
   [merged_by] INTEGER REFERENCES [users]([id])
);
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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]
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