issue_comments
1 row where issue = 540682976 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Ipcc srex regions updated · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
567946778 | https://github.com/pydata/xarray/issues/3650#issuecomment-567946778 | https://api.github.com/repos/pydata/xarray/issues/3650 | MDEyOklzc3VlQ29tbWVudDU2Nzk0Njc3OA== | mathause 10194086 | 2019-12-20T14:39:13Z | 2019-12-20T14:39:13Z | MEMBER | Has there ever been an implementation of regions in xarray? What are you refering to? Also there has not been any change to the SREX regions. There are, however, new regions defined for the IPCC AR6 report - do you mean them? Have a look here: https://github.com/mathause/regionmask/pull/61 (disclaimer: I am the author of the package). |
{ "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Ipcc srex regions updated 540682976 |
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