issue_comments
where author_association = "MEMBER", issue = 834273555 and user = 5635139 sorted by updated_at descending
This data as json, CSV (advanced)
These facets timed out: author_association, issue
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
801627246 | https://github.com/pydata/xarray/issues/5048#issuecomment-801627246 | https://api.github.com/repos/pydata/xarray/issues/5048 | MDEyOklzc3VlQ29tbWVudDgwMTYyNzI0Ng== | max-sixty 5635139 | 2021-03-18T05:02:10Z | 2021-03-18T05:02:10Z | MEMBER | Agree with @andersy005 's suggestion (and it takes a Though I also find myself reaching for a method like pandas' Aside from the |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Ability to rename items inside a coordinate, matching pandas rename() functionality 834273555 |
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