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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 |
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91290933 | MDExOlB1bGxSZXF1ZXN0OTEyOTA5MzM= | 1065 | closed | 0 | Options to binary ops kwargs | chunweiyuan 5572303 | Currently the default is join="inner". However, there can be applications where the majority of binary operations require join="outer", not "inner". Addresses https://github.com/pydata/xarray/issues/1059 The solution we come up with is adding a default key/value to OPTIONS, and dynamically access/update it in code (_binary_op in both dataarray.py and dataset.py) We've also added test modules in test_dataarray.py and test_dataset.py. All tests passed. | 2016-10-27T22:17:16Z | 2016-11-12T04:17:33Z | 2016-11-12T03:59:42Z | 2016-11-12T03:59:42Z | 95bca6297ce28ec256910344cab27f67938c8f46 | 0 | 88c37bcf9928e4ff4053327b134233ec25183d50 | 1ff3a0bdc4e41af88c32803b0f95557f021e2ceb | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/1065 | ||||
101339820 | MDExOlB1bGxSZXF1ZXN0MTAxMzM5ODIw | 1204 | closed | 0 | combine_first by using apply_ufunc in ops.fillna | chunweiyuan 5572303 | Implementing `ops.fillna` using `apply_ufunc`, with a `join` kwarg. The new `ops.fillna` is then used to implement `combine_first` in both DataArray and Dataset objects. | 2017-01-12T21:03:53Z | 2017-01-23T22:43:32Z | 2017-01-23T22:39:57Z | 2017-01-23T22:39:57Z | c5146e8f82ae8387a24b99b27fb8b7e623b38778 | 0 | 998cd7116bf9c253b0bfc5041d45504708f975db | b44b37a5bd8fb613e6a7ce9c82c91e31b7ddf9bc | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/1204 | ||||
118255850 | MDExOlB1bGxSZXF1ZXN0MTE4MjU1ODUw | 1389 | closed | 0 | Sortby | chunweiyuan 5572303 | - [x] closes #967 - [x] tests added / passed - [x] passes ``git diff upstream/master | flake8 --diff`` - [x] whatsnew entry | 2017-04-29T00:44:01Z | 2017-05-12T18:36:30Z | 2017-05-12T00:29:12Z | 2017-05-12T00:29:12Z | 80ddad99dbee1197c93f61ef9048b83d9f29d00d | 0 | 124df48880d7143fed8f2ec47354e2d1b4d2999e | ba6351b14d6a6ba2d12b8ae8aacc9c4b76bdc003 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/1389 |
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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]);