issue_comments
1 row where author_association = "MEMBER", issue = 1389295853 and user = 14808389 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date)
issue 1
- Pass arbitrary options to sel() · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1260905662 | https://github.com/pydata/xarray/issues/7099#issuecomment-1260905662 | https://api.github.com/repos/pydata/xarray/issues/7099 | IC_kwDOAMm_X85LJ-S- | keewis 14808389 | 2022-09-28T13:20:38Z | 2022-09-28T13:20:38Z | MEMBER | another option would be to allow passing a custom object, like ```python class Indexer: def init(self, indexer, **options): ... ds.sel(x=Indexer([0, 2], method="nearest")) ``` I think we wanted to have something like that, anyways, to be able to specify other behaviors of a slice, like right-exclusive? |
{
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Pass arbitrary options to sel() 1389295853 |
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