issue_comments
1 row where author_association = "MEMBER", issue = 1033884661 and user = 35968931 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Use .to_numpy() for quantified facetgrids · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
954253465 | https://github.com/pydata/xarray/pull/5886#issuecomment-954253465 | https://api.github.com/repos/pydata/xarray/issues/5886 | IC_kwDOAMm_X8444MCZ | TomNicholas 35968931 | 2021-10-28T21:58:24Z | 2021-10-28T21:58:24Z | MEMBER |
I don't know - instead of testing all the cases I just made the
I've added some tests for faceted line plots, faceted imshow, and faceted contourf. There is almost certainly some other type of plot or other edge case I haven't tested, but that's enough to show that this PR fixes what it intended to fix. It would be nicer to know for certain that we are testing all the plot types with pint arrays, but I think that can maybe wait for another PR? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Use .to_numpy() for quantified facetgrids 1033884661 |
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