issue_comments
1 row where issue = 583001763 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- xarray.DataArray.to_netcdf - file not found but file in directory · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
600084031 | https://github.com/pydata/xarray/issues/3863#issuecomment-600084031 | https://api.github.com/repos/pydata/xarray/issues/3863 | MDEyOklzc3VlQ29tbWVudDYwMDA4NDAzMQ== | crusaderky 6213168 | 2020-03-17T13:53:50Z | 2020-03-17T13:53:50Z | MEMBER | This has nothing to do with to_netcdf or slicing. Your upstream data is broken for the variable Just load the variable into memory: ```python
P.S. all your lines invoking to_netcdf could be replaced with a single command:
|
{ "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
xarray.DataArray.to_netcdf - file not found but file in directory 583001763 |
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