issue_comments
1 row where author_association = "MEMBER", issue = 198030158 and user = 5356122 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Integer levels and vmin/vmax · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
269819094 | https://github.com/pydata/xarray/pull/1191#issuecomment-269819094 | https://api.github.com/repos/pydata/xarray/issues/1191 | MDEyOklzc3VlQ29tbWVudDI2OTgxOTA5NA== | clarkfitzg 5356122 | 2016-12-30T20:36:44Z | 2016-12-30T20:37:02Z | MEMBER |
The reason for having consistency with MPL is that users can take essentially the same code and produce the same plots with or without xarray. And it's less work on this end. We're departing from that here to get something that perhaps is more natural for the user. But I think it's ok since the plots generally won't look all that different. If users want more control they can just set all the |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Integer levels and vmin/vmax 198030158 |
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