issue_comments
2 rows where author_association = "MEMBER", issue = 391477755 and user = 2448579 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Added Coarsen · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
447924905 | https://github.com/pydata/xarray/pull/2612#issuecomment-447924905 | https://api.github.com/repos/pydata/xarray/issues/2612 | MDEyOklzc3VlQ29tbWVudDQ0NzkyNDkwNQ== | dcherian 2448579 | 2018-12-17T17:17:18Z | 2018-12-17T17:17:18Z | MEMBER | @max-sixty I think it's multi-dimensional resampling / rolling. resample & rolling operate one dimension at a time. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Added Coarsen 391477755 | |
447664380 | https://github.com/pydata/xarray/pull/2612#issuecomment-447664380 | https://api.github.com/repos/pydata/xarray/issues/2612 | MDEyOklzc3VlQ29tbWVudDQ0NzY2NDM4MA== | dcherian 2448579 | 2018-12-16T18:18:55Z | 2018-12-16T18:18:55Z | MEMBER |
Or we could default to |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Added Coarsen 391477755 |
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