issue_comments
1 row where author_association = "NONE" and issue = 1372053736 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- DataArray saved from v0.19.0 is faulty when reading with v0.21.0+ · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1246115189 | https://github.com/pydata/xarray/issues/7032#issuecomment-1246115189 | https://api.github.com/repos/pydata/xarray/issues/7032 | IC_kwDOAMm_X85KRjV1 | danlkv 13188417 | 2022-09-14T01:22:42Z | 2022-09-14T01:22:42Z | NONE | Got it. For anyone who faces the same issue, here's a workaround: downgrade your xarray, read the data and then convert it to dict using Netcdf didn't work because each item in my DataArray is a tuple of lists, and all lists have different lengths. I had the |
{
"total_count": 2,
"+1": 2,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
DataArray saved from v0.19.0 is faulty when reading with v0.21.0+ 1372053736 |
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