issue_comments
1 row where author_association = "MEMBER", issue = 532940062 and user = 6815844 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Add DataArray.pad, Dataset.pad, Variable.pad · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
562821225 | https://github.com/pydata/xarray/pull/3596#issuecomment-562821225 | https://api.github.com/repos/pydata/xarray/issues/3596 | MDEyOklzc3VlQ29tbWVudDU2MjgyMTIyNQ== | fujiisoup 6815844 | 2019-12-07T06:47:32Z | 2019-12-07T06:47:32Z | MEMBER | Hi, @mark-boer. In #3587, I tried using dask's pad method but noticed a few bugs in older (but newer than 1.2) dask. For me, it would be very welcome if you add this method to dask_array_compat. Then, I would wait for merging #3587 until this PR is completed. Thanks for your contribution :) |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Add DataArray.pad, Dataset.pad, Variable.pad 532940062 |
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