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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
93553990 MDExOlB1bGxSZXF1ZXN0OTM1NTM5OTA= 1118 closed 0 Do not convert subclasses of `ndarray` unless required burnpanck 1310437 By changing a single `np.asarray` to `np.asanyarray`, it becomes possible to use `ndarray` subclasses within `DataArray` and `Dataset`. No guarantee is made at this point that their behaviour is retained under all circumstances, but for some use-cases it will work. Particularly, this allows to store physical quantities represented using the `Quantity` subclass from the package [python-quantities](https://github.com/python-quantities/python-quantities). In that sense, it is a partial fix for #525. Tests are included to highlight some of the things that do work, and some which don't. It does not work for coordinates when they are used as indexes, since pandas does not support ndarray subclasses. Most likely, it will also not work for any higher-level operation on the data such as those involving `np.concatenate`. Thus, any user of this feature should remain cautious. Nonetheless, for me, this change provides enough added value, such that I'd consider it worthwhile to keep, assuming it does not harm anywhere else. It does pass the tests on my machine (no dask though), let's see what travis says. I expect that astropy's units would behave similarly, though since I never worked with them yet, I did not include any tests. 2016-11-14T11:59:02Z 2019-12-25T14:12:34Z 2019-12-25T14:12:34Z   05a025614cd7267537dfe9025a681c33575fb49a     0 c58f92ebccf76253d2eed6b9ec48b835a389209f bb87a9441d22b390e069d0fde58f297a054fd98a CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/1118  
93556850 MDExOlB1bGxSZXF1ZXN0OTM1NTY4NTA= 1119 closed 0 Fix #1116 (rename of coordinates) burnpanck 1310437   2016-11-14T12:20:50Z 2016-11-15T16:18:04Z 2016-11-15T16:18:00Z 2016-11-15T16:18:00Z 0c5fa1ea466c0664ed3378379269f01bec4af97c     0 a07e22c375122f8a1af6808a104b2b61495b4d17 0ed1e2c93732472ecf4985875982daaccc9fa34c CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/1119  
93808383 MDExOlB1bGxSZXF1ZXN0OTM4MDgzODM= 1122 closed 0 Fix slow object arrays indexing burnpanck 1310437   2016-11-15T17:12:28Z 2016-11-15T17:30:54Z 2016-11-15T17:30:54Z 2016-11-15T17:30:54Z 565c9a3736b5cd5a458bf9a73016e4d5a01649cd     0 46e6a4031d4e7d5db54ef0dd3b1130bc2f78795f 0c5fa1ea466c0664ed3378379269f01bec4af97c CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/1122  

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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]
    ON [pull_requests] ([merged_by]);
CREATE INDEX [idx_pull_requests_repo]
    ON [pull_requests] ([repo]);
CREATE INDEX [idx_pull_requests_milestone]
    ON [pull_requests] ([milestone]);
CREATE INDEX [idx_pull_requests_assignee]
    ON [pull_requests] ([assignee]);
CREATE INDEX [idx_pull_requests_user]
    ON [pull_requests] ([user]);