issue_comments
1 row where author_association = "CONTRIBUTOR", issue = 166642852 and user = 296686 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- dtype changes after .load() · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
234096888 | https://github.com/pydata/xarray/issues/913#issuecomment-234096888 | https://api.github.com/repos/pydata/xarray/issues/913 | MDEyOklzc3VlQ29tbWVudDIzNDA5Njg4OA== | robintw 296686 | 2016-07-20T21:59:14Z | 2016-07-20T21:59:14Z | CONTRIBUTOR | I'm not really sure how to work out which one it is a bug in - do you have any advice? Or should I just report it on the dask issue tracker too and see what they think? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
dtype changes after .load() 166642852 |
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