issue_comments
2 rows where author_association = "MEMBER", issue = 38109425 and user = 1217238 sorted by updated_at descending
This data as json, CSV (advanced)
These facets timed out: author_association, issue
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 120149412 | https://github.com/pydata/xarray/issues/185#issuecomment-120149412 | https://api.github.com/repos/pydata/xarray/issues/185 | MDEyOklzc3VlQ29tbWVudDEyMDE0OTQxMg== | shoyer 1217238 | 2015-07-09T21:30:13Z | 2015-07-09T21:30:13Z | MEMBER | something to consider: we should make sure we can handle NaNs properly (by converting to masked array). |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Plot methods 38109425 | |
| 49495814 | https://github.com/pydata/xarray/issues/185#issuecomment-49495814 | https://api.github.com/repos/pydata/xarray/issues/185 | MDEyOklzc3VlQ29tbWVudDQ5NDk1ODE0 | shoyer 1217238 | 2014-07-19T01:29:20Z | 2014-07-19T01:29:20Z | MEMBER | I would start by adding Yes, I like the cartopy API better than basemap, because you can just provide an appropriate |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Plot methods 38109425 |
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