issue_comments
1 row where author_association = "NONE" and issue = 977544678 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Shoudn't `assert_allclose` transpose datasets? · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
1128770505 | https://github.com/pydata/xarray/issues/5733#issuecomment-1128770505 | https://api.github.com/repos/pydata/xarray/issues/5733 | IC_kwDOAMm_X85DR6vJ | mjwillson 4502 | 2022-05-17T11:48:26Z | 2022-05-17T11:48:26Z | NONE | +1 for a Or failing that, it would at least be nice to have As pointed out, most of the xarray API is dimension-order-invariant and so it's odd to have no supported way to do comparisons in a dimension-order-invariant way. |
{ "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Shoudn't `assert_allclose` transpose datasets? 977544678 |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issue_comments] ( [html_url] TEXT, [issue_url] TEXT, [id] INTEGER PRIMARY KEY, [node_id] TEXT, [user] INTEGER REFERENCES [users]([id]), [created_at] TEXT, [updated_at] TEXT, [author_association] TEXT, [body] TEXT, [reactions] TEXT, [performed_via_github_app] TEXT, [issue] INTEGER REFERENCES [issues]([id]) ); CREATE INDEX [idx_issue_comments_issue] ON [issue_comments] ([issue]); CREATE INDEX [idx_issue_comments_user] ON [issue_comments] ([user]);
user 1