issue_comments
1 row where author_association = "NONE", issue = 219692578 and user = 12339722 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- concat automagically outer-joins coordinates · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
313105147 | https://github.com/pydata/xarray/issues/1354#issuecomment-313105147 | https://api.github.com/repos/pydata/xarray/issues/1354 | MDEyOklzc3VlQ29tbWVudDMxMzEwNTE0Nw== | wqshen 12339722 | 2017-07-05T13:37:14Z | 2017-07-05T13:37:14Z | NONE | I also have this problem. I have a list of dataset with all same shaped array at different time, while each have a different coordinate. (Each dataset is centered in the tropical cyclone center, with a same radius width buffer.) I use xr.concat to concat them along time dimension, this function auto outer-joins coordinates, which makes the final dataset have a larger-shape, but i just want the original dataset shape. Any solution ? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
concat automagically outer-joins coordinates 219692578 |
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