issue_comments
1 row where author_association = "CONTRIBUTOR", issue = 187591179 and user = 500246 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Towards a (temporary?) workaround for datetime issues at the xarray-level · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
339468720 | https://github.com/pydata/xarray/issues/1084#issuecomment-339468720 | https://api.github.com/repos/pydata/xarray/issues/1084 | MDEyOklzc3VlQ29tbWVudDMzOTQ2ODcyMA== | gerritholl 500246 | 2017-10-25T20:56:24Z | 2017-10-25T20:56:24Z | CONTRIBUTOR | Not sure if this is related, but pandas commit https://github.com/pandas-dev/pandas/commit/2310faa109bdfd9ff3ef4fc19a163d790d60c645 triggers xarray issue https://github.com/pydata/xarray/issues/1661 . Not sure if there exists an easy workaround for that one. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Towards a (temporary?) workaround for datetime issues at the xarray-level 187591179 |
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