issue_comments
2 rows where issue = 1596890616 and user = 43316012 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- plotting facet grid with singleton dimension should create a facet grid with size 1 · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
1447067702 | https://github.com/pydata/xarray/issues/7552#issuecomment-1447067702 | https://api.github.com/repos/pydata/xarray/issues/7552 | IC_kwDOAMm_X85WQIA2 | headtr1ck 43316012 | 2023-02-27T20:50:13Z | 2023-02-27T20:50:13Z | COLLABORATOR | @liorella-qm in the meantime you can use |
{ "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
plotting facet grid with singleton dimension should create a facet grid with size 1 1596890616 | |
1447057892 | https://github.com/pydata/xarray/issues/7552#issuecomment-1447057892 | https://api.github.com/repos/pydata/xarray/issues/7552 | IC_kwDOAMm_X85WQFnk | headtr1ck 43316012 | 2023-02-27T20:43:00Z | 2023-02-27T20:48:19Z | COLLABORATOR | This is caused by the @Illviljan do you know why this is required? I assume you want to remove singleton dimensions to better choose the correct plot method? Maybe we should exclude col, row dims from the squeeze?
something like:
|
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
plotting facet grid with singleton dimension should create a facet grid with size 1 1596890616 |
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