issue_comments
1 row where author_association = "MEMBER", issue = 1275993190 and user = 35968931 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Add `Dataset.dtypes` property · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1160668211 | https://github.com/pydata/xarray/pull/6706#issuecomment-1160668211 | https://api.github.com/repos/pydata/xarray/issues/6706 | IC_kwDOAMm_X85FLmQz | TomNicholas 35968931 | 2022-06-20T16:58:02Z | 2022-06-21T15:21:54Z | MEMBER |
My understanding of these classes is that they are just slightly more complex mapping-like objects that we return instead of returning dicts in some cases. Sometimes they are intended to be immutable views and sometimes mutable IIUC. But I agree that they aren't intended to be instantiated directly by users. |
{
"total_count": 2,
"+1": 2,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Add `Dataset.dtypes` property 1275993190 |
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