pull_requests
6 rows where user = 691772
This data as json, CSV (advanced)
Suggested facets: body, base, created_at (date), updated_at (date), closed_at (date), merged_at (date)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
237618361 | MDExOlB1bGxSZXF1ZXN0MjM3NjE4MzYx | 2598 | closed | 0 | Fix wrong error message in interp() | lumbric 691772 | This is just a minor fix of a wrong error message. Please let me know if you think that this is worth testing in unit tests. Before: ``` >>> import xarray as xr >>> d = xr.DataArray([1,2,3]) >>> d.interp(1) ... ValueError: the first argument to .rename must be a dictionary ``` After: ``` >>> import xarray as xr >>> d = xr.DataArray([1,2,3]) >>> d.interp(1) ... ValueError: the first argument to .interp must be a dictionary ``` | 2018-12-11T10:09:53Z | 2018-12-11T19:29:03Z | 2018-12-11T19:29:03Z | 2018-12-11T19:29:03Z | 688150309c78eaf09e4ae8662ec615cac7ca843b | 0 | 1e4e51acd73def466280250a56be7c4de73139d8 | 53746c962701a864255f15e69e5ab5fec4cf908c | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/2598 | ||||
266162540 | MDExOlB1bGxSZXF1ZXN0MjY2MTYyNTQw | 2860 | closed | 0 | Fix minor typo in docstring | lumbric 691772 | 2019-04-01T09:35:02Z | 2019-04-01T11:18:40Z | 2019-04-01T11:18:29Z | 2019-04-01T11:18:29Z | aaae999bfd4b90aaaf13fea7ac3279d26562ce70 | 0 | 2c787d2e19462671d0a2e18c0cf3a33d5255e651 | 7d0e895fc27482256804303a16827feafc828595 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/2860 | |||||
271432179 | MDExOlB1bGxSZXF1ZXN0MjcxNDMyMTc5 | 2903 | closed | 0 | Fix minor typos in docstrings | lumbric 691772 | See also pull-request #2860 - the same typo was at many places. Sorry, I have missed the other places when sending the first PR. | 2019-04-17T19:05:47Z | 2019-04-17T19:15:10Z | 2019-04-17T19:15:10Z | 2019-04-17T19:15:10Z | 1cd262db77488bc637dfd0c18e2c4ca4fce23c4d | 0 | c01ca87c03aaaad55e6c2bda0ced2fb308a18524 | 08942c2358c41a37e99fe6744c14513e9a40ce03 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/2903 | ||||
271435658 | MDExOlB1bGxSZXF1ZXN0MjcxNDM1NjU4 | 2904 | closed | 0 | Minor improvement of docstring for Dataset | lumbric 691772 | This might help to avoid confusion. data_vars is always a mapping, not a mapping, a variable or a tuple. Passing just a tuple, does not work of course. But for xarray newbies, this might be less obvious and the error message is also not easy to interpret: ``` >>> xr.Dataset(('dim1', np.ones(5))) ... TypeError: unhashable type: 'numpy.ndarray' ``` The correct version of the example above should be: ``` >>> xr.Dataset({'myvar': ('dim1', np.ones(5))}) <xarray.Dataset> Dimensions: (dim1: 5) Dimensions without coordinates: dim1 Data variables: myvar (dim1) float64 1.0 1.0 1.0 1.0 1.0 ``` | 2019-04-17T19:16:50Z | 2019-04-17T20:09:26Z | 2019-04-17T20:08:46Z | 2019-04-17T20:08:45Z | aebe60c8593447c7ef95ca6af6eaef1f7fedc6d5 | 0 | ef93bef5e98fad01373fe7214f5a73a5d580c2ed | 1cd262db77488bc637dfd0c18e2c4ca4fce23c4d | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/2904 | ||||
297126880 | MDExOlB1bGxSZXF1ZXN0Mjk3MTI2ODgw | 3103 | closed | 0 | Add missing assert to unit test | lumbric 691772 | Stumbled upon a unit test which didn't test anything. | 2019-07-12T15:46:20Z | 2019-07-12T16:35:16Z | 2019-07-12T16:35:16Z | 2019-07-12T16:35:16Z | 106886f068b7056dff45ed6f5f8123aa37bbad2c | 0 | 543b7ecc561ea585c27f17259014f3ab074b24fb | ed421e80e69788b92cdda050b0ac389ecce590fb | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/3103 | ||||
297136213 | MDExOlB1bGxSZXF1ZXN0Mjk3MTM2MjEz | 3104 | closed | 0 | Fix minor typos in documentation | lumbric 691772 | 2019-07-12T16:13:15Z | 2019-07-12T16:53:28Z | 2019-07-12T16:51:54Z | 2019-07-12T16:51:54Z | 6586c26af6e55279efe646188b39ee1caf86db23 | 0 | 4c64ba4904945549c2ea6df2312c396f2fa7b4f8 | ed421e80e69788b92cdda050b0ac389ecce590fb | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/3104 |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);