issue_comments
1 row where author_association = "MEMBER", issue = 374070147 and user = 1217238 sorted by updated_at descending
This data as json, CSV (advanced)
These facets timed out: author_association
issue 1
- to_netcdf() fails because of datetime encoding · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 433235316 | https://github.com/pydata/xarray/issues/2512#issuecomment-433235316 | https://api.github.com/repos/pydata/xarray/issues/2512 | MDEyOklzc3VlQ29tbWVudDQzMzIzNTMxNg== | shoyer 1217238 | 2018-10-25T23:11:03Z | 2018-10-25T23:11:03Z | MEMBER | I agree, this is definitely a bug. We do have logic that is supposed to automatically convert datetime object arrays into datetime64, but for some reason it isn't being triggered here: https://github.com/pydata/xarray/blob/2a4691321a3c13baf0a5615f16740435621b153d/xarray/core/variable.py#L182-L184 |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
to_netcdf() fails because of datetime encoding 374070147 |
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