issue_comments
1 row where author_association = "CONTRIBUTOR" and issue = 894788930 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- ENH: Add keep_encoding to global options · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1485992930 | https://github.com/pydata/xarray/issues/5336#issuecomment-1485992930 | https://api.github.com/repos/pydata/xarray/issues/5336 | IC_kwDOAMm_X85YknPi | snowman2 8699967 | 2023-03-27T23:26:59Z | 2023-03-27T23:26:59Z | CONTRIBUTOR | I am not certain about my availability at the moment. If I get free time, I would be happy to do so. However, if someone else gets started on it first, that would be great as well. |
{
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
ENH: Add keep_encoding to global options 894788930 |
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