issue_comments
1 row where author_association = "NONE", issue = 1674532233 and user = 34276374 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Inconsistency between xr.where() and da.where() · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
1514473763 | https://github.com/pydata/xarray/issues/7767#issuecomment-1514473763 | https://api.github.com/repos/pydata/xarray/issues/7767 | IC_kwDOAMm_X85aRQkj | tbloch1 34276374 | 2023-04-19T10:08:52Z | 2023-04-19T10:08:52Z | NONE | Thanks for the replies So while The latter feels quite unintuitive to me. Is the reason they're different only for the mask example you provided? Where NaN is returned as the default 'x' value? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Inconsistency between xr.where() and da.where() 1674532233 |
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