issue_comments
1 row where issue = 279883145 and user = 1217238 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- .groupby_bins fails when data is not contained in bins · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
350077724 | https://github.com/pydata/xarray/issues/1764#issuecomment-350077724 | https://api.github.com/repos/pydata/xarray/issues/1764 | MDEyOklzc3VlQ29tbWVudDM1MDA3NzcyNA== | shoyer 1217238 | 2017-12-07T19:59:16Z | 2017-12-07T19:59:16Z | MEMBER | I agree, this behavior is not so useful. It appears that our current I'll mark this as a bug. It could be a little tricky to fix because our current logic in |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
.groupby_bins fails when data is not contained in bins 279883145 |
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