issues
10 rows where state = "closed", type = "pull" and user = 3698640 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: comments, created_at (date), updated_at (date), closed_at (date)
id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1221393104 | PR_kwDOAMm_X843GASj | 6542 | docs on specifying chunks in to_zarr encoding arg | delgadom 3698640 | closed | 0 | 17 | 2022-04-29T18:37:25Z | 2022-07-01T01:20:19Z | 2022-06-23T21:31:37Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6542 | The structure of the Documentation additions only (no workflow stages) |
{ "url": "https://api.github.com/repos/pydata/xarray/issues/6542/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull | |||||
1199127752 | PR_kwDOAMm_X8419bFr | 6467 | allow other and drop arguments in where (gh#6466) | delgadom 3698640 | closed | 0 | 7 | 2022-04-10T18:03:24Z | 2022-04-12T16:39:53Z | 2022-04-12T15:33:05Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6467 |
|
{ "url": "https://api.github.com/repos/pydata/xarray/issues/6467/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull | |||||
1094882077 | PR_kwDOAMm_X84wllP5 | 6144 | allow 1 non-null value in interpolate_na with method="nearest" | delgadom 3698640 | closed | 0 | 2 | 2022-01-06T01:28:17Z | 2022-01-19T03:33:19Z | 2022-01-18T22:45:39Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6144 |
@Skealz's great issue (#5994) highlighted that DataArrays with a single non-null value raise an error if In this PR:
* Uses the "fast track" to quickly return any 1-D slices with a single non-null value in addition to the previous all-nan or no-nan fasttrack
* Explicitly check this behavior for all 1-D interpolation methods using parametrized tests
* consolidate other fast-track tests ( For discussion: * This patch may break existing workflows if they rely on the current behavior, which errors for slices with only a single value |
{ "url": "https://api.github.com/repos/pydata/xarray/issues/6144/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull | |||||
1090749099 | PR_kwDOAMm_X84wYTL_ | 6126 | Deprecate bool(ds) | delgadom 3698640 | closed | 0 | 1 | 2021-12-29T21:06:28Z | 2022-01-04T01:23:02Z | 2022-01-03T16:57:58Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6126 | Issues a PendingDeprecationWarning on
|
{ "url": "https://api.github.com/repos/pydata/xarray/issues/6126/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull | |||||
1090226596 | PR_kwDOAMm_X84wWmUG | 6123 | assert ds errors in test_dataset.py | delgadom 3698640 | closed | 0 | 1 | 2021-12-29T02:24:21Z | 2021-12-31T22:22:16Z | 2021-12-29T06:17:33Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6123 | a number of assert statements in test_dataset.py::test_clip make assertions which will never fail as long as there is at least one data_variable:
related: https://github.com/pydata/xarray/pull/6122 No workflow stages here - I just made the changes in the browser. Pretty simple patch that increases the effectiveness of existing tests - no changes to the xarray core code. Let me know if you'd like me to implement any of the normal checks. |
{ "url": "https://api.github.com/repos/pydata/xarray/issues/6123/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull | |||||
1090221330 | PR_kwDOAMm_X84wWlSA | 6122 | assert ds errors in test_backends | delgadom 3698640 | closed | 0 | 1 | 2021-12-29T02:06:23Z | 2021-12-31T22:21:55Z | 2021-12-29T06:24:50Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6122 | Makes four changes to xarray/tests/test_backends.py::test_open_fsspec Previously, there were four inequality tests which will always pass regardless of whether the read was successful.
No workflow stages here - I just made the changes in the browser. Pretty simple patch that increases the effectiveness of existing tests - no changes to the xarray core code. |
{ "url": "https://api.github.com/repos/pydata/xarray/issues/6122/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull | |||||
1076015390 | PR_kwDOAMm_X84vovaU | 6056 | add set_options link to FAQ on metadata | delgadom 3698640 | closed | 0 | 1 | 2021-12-09T21:04:21Z | 2021-12-15T06:21:18Z | 2021-12-09T21:39:45Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6056 | If helpful - added a PR to adds a reference and link to Relevant section: https://github.com/pydata/xarray/blob/main/doc/getting-started-guide/faq.rst#what-is-your-approach-to-metadata Current text:
Proposed version:
Minor docs change only. No workflow steps needed. |
{ "url": "https://api.github.com/repos/pydata/xarray/issues/6056/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull | |||||
1066620057 | PR_kwDOAMm_X84vKEIh | 6034 | fix grammatical typo in docs | delgadom 3698640 | closed | 0 | 1 | 2021-11-29T23:48:10Z | 2021-11-30T00:33:07Z | 2021-11-30T00:33:07Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6034 | very simple fix in the broadcasting by dimension name docs:
No workflow stages - this is a very minor docs fix. |
{ "url": "https://api.github.com/repos/pydata/xarray/issues/6034/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull | |||||
316507797 | MDExOlB1bGxSZXF1ZXN0MTgzMjMyMjQx | 2072 | resolve #2071: 'bebroadcast' in ValueError msg | delgadom 3698640 | closed | 0 | 1 | 2018-04-21T17:02:44Z | 2018-04-21T17:42:11Z | 2018-04-21T17:42:06Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/2072 | Simple spelling correction. Add space to end of line halfway through error message on line 682 to avoid 'bebroadcast' on string concatenation.
|
{ "url": "https://api.github.com/repos/pydata/xarray/issues/2072/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull | |||||
285006452 | MDExOlB1bGxSZXF1ZXN0MTYwNDU0NDIw | 1802 | Handle _FillValue in variable-length unicode string variables | delgadom 3698640 | closed | 0 | 3 | 2017-12-28T23:13:54Z | 2018-01-11T23:56:57Z | 2018-01-11T23:56:57Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/1802 |
For testing - I could use some guidance. Not sure if it's worth creating a fixture set or something just for this issue. If so, would that go in test_backends? |
{ "url": "https://api.github.com/repos/pydata/xarray/issues/1802/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray 13221727 | pull |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issues] ( [id] INTEGER PRIMARY KEY, [node_id] TEXT, [number] INTEGER, [title] TEXT, [user] INTEGER REFERENCES [users]([id]), [state] TEXT, [locked] INTEGER, [assignee] INTEGER REFERENCES [users]([id]), [milestone] INTEGER REFERENCES [milestones]([id]), [comments] INTEGER, [created_at] TEXT, [updated_at] TEXT, [closed_at] TEXT, [author_association] TEXT, [active_lock_reason] TEXT, [draft] INTEGER, [pull_request] TEXT, [body] TEXT, [reactions] TEXT, [performed_via_github_app] TEXT, [state_reason] TEXT, [repo] INTEGER REFERENCES [repos]([id]), [type] TEXT ); CREATE INDEX [idx_issues_repo] ON [issues] ([repo]); CREATE INDEX [idx_issues_milestone] ON [issues] ([milestone]); CREATE INDEX [idx_issues_assignee] ON [issues] ([assignee]); CREATE INDEX [idx_issues_user] ON [issues] ([user]);