issue_comments
2 rows where author_association = "MEMBER", issue = 409618015 and user = 2448579 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- ENH - Adding Pseudo-Inverse to computation.py · 2 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 482701467 | https://github.com/pydata/xarray/pull/2766#issuecomment-482701467 | https://api.github.com/repos/pydata/xarray/issues/2766 | MDEyOklzc3VlQ29tbWVudDQ4MjcwMTQ2Nw== | dcherian 2448579 | 2019-04-12T19:51:47Z | 2019-04-12T19:51:47Z | MEMBER |
@erbian can you change this PR to improve the documention this way? |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
ENH - Adding Pseudo-Inverse to computation.py 409618015 | |
| 464190301 | https://github.com/pydata/xarray/pull/2766#issuecomment-464190301 | https://api.github.com/repos/pydata/xarray/issues/2766 | MDEyOklzc3VlQ29tbWVudDQ2NDE5MDMwMQ== | dcherian 2448579 | 2019-02-15T20:36:12Z | 2019-02-15T20:36:12Z | MEMBER | Since this is basically a one line call to apply_ufunc, I propose that we add it as an example of using apply_ufunc in the docs. Maybe even emphasize by adding a section on "wrapping numpy functions"? |
{
"total_count": 2,
"+1": 2,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
ENH - Adding Pseudo-Inverse to computation.py 409618015 |
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