issue_comments
1 row where issue = 272415954 and user = 2443309 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Error when using engine='scipy' reading CM2.6 ocean output · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
345919689 | https://github.com/pydata/xarray/issues/1704#issuecomment-345919689 | https://api.github.com/repos/pydata/xarray/issues/1704 | MDEyOklzc3VlQ29tbWVudDM0NTkxOTY4OQ== | jhamman 2443309 | 2017-11-21T05:17:14Z | 2017-11-21T05:17:14Z | MEMBER | @jbusecke -
In your case, what would that have looked like? Many users have actually requested that xarray provide a more streamlined reader function that does less checking. Perhaps it would have been useful for you to have xarray raise an error when it encountered files that weren't consistent (either in the variable, dimensions, or coordinates)? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Error when using engine='scipy' reading CM2.6 ocean output 272415954 |
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