issue_comments
1 row where author_association = "CONTRIBUTOR", issue = 430203605 and user = 17169544 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Custom fill value for align, reindex and reindex_like · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
482141308 | https://github.com/pydata/xarray/issues/2876#issuecomment-482141308 | https://api.github.com/repos/pydata/xarray/issues/2876 | MDEyOklzc3VlQ29tbWVudDQ4MjE0MTMwOA== | zdgriffith 17169544 | 2019-04-11T14:37:12Z | 2019-04-11T14:37:12Z | CONTRIBUTOR | Hi, I'm a recent convert to xarray looking to start contributing - this seems like a good issue to dip my toes in. If there's no one currently working on this I'm happy to take it up. |
{ "total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0 } |
Custom fill value for align, reindex and reindex_like 430203605 |
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