issue_comments
1 row where author_association = "NONE" and issue = 417412201 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- stack renames single dimensions instead of creating a MultiIndex · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 469885042 | https://github.com/pydata/xarray/issues/2802#issuecomment-469885042 | https://api.github.com/repos/pydata/xarray/issues/2802 | MDEyOklzc3VlQ29tbWVudDQ2OTg4NTA0Mg== | equaeghe 601177 | 2019-03-05T22:31:44Z | 2019-03-05T22:31:44Z | NONE |
Yes. My example and explanation are a bit clearer, so I do not know which would be best to close. In any case, I hope this is considered for fixing separately from some big refactoring of the MultiIndex machinery, which seems to have stalled. This seems like a corner case that might not be too big, but I may be mistaken. |
{
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
stack renames single dimensions instead of creating a MultiIndex 417412201 |
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