issue_comments
2 rows where author_association = "MEMBER", issue = 404945709 and user = 1197350 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- [WIP] Feature: Animated 1D plots · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
488734476 | https://github.com/pydata/xarray/pull/2729#issuecomment-488734476 | https://api.github.com/repos/pydata/xarray/issues/2729 | MDEyOklzc3VlQ29tbWVudDQ4ODczNDQ3Ng== | rabernat 1197350 | 2019-05-02T16:10:54Z | 2019-05-02T16:10:54Z | MEMBER | Just pinging @jbusecke, who recently announced https://github.com/jbusecke/xmovie. He might have some insights on this problem. |
{ "total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0 } |
[WIP] Feature: Animated 1D plots 404945709 | |
459358900 | https://github.com/pydata/xarray/pull/2729#issuecomment-459358900 | https://api.github.com/repos/pydata/xarray/issues/2729 | MDEyOklzc3VlQ29tbWVudDQ1OTM1ODkwMA== | rabernat 1197350 | 2019-01-31T14:14:38Z | 2019-01-31T14:14:38Z | MEMBER | I think this is a cool example, and lots of users will probably like it. A high-level question: why was animatplot chosen over matplotlib's animation module? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
[WIP] Feature: Animated 1D plots 404945709 |
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