issue_comments
1 row where author_association = "NONE", issue = 248273793 and user = 1474554 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Plotting datasets with variable coordinates · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 321420237 | https://github.com/pydata/xarray/issues/1503#issuecomment-321420237 | https://api.github.com/repos/pydata/xarray/issues/1503 | MDEyOklzc3VlQ29tbWVudDMyMTQyMDIzNw== | smillerc 1474554 | 2017-08-10T00:51:34Z | 2017-08-10T00:51:34Z | NONE | I think that would work. I've just been trying to understand what the CF conventions mean for me in my use case, where I have a grid that moves over time, but keeps the same number of nodes and cells. I feel like xarray could be a big help, but I'm still trying to figure it out. Thanks for the quick responses here and on SO. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Plotting datasets with variable coordinates 248273793 |
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