issue_comments
3 rows where author_association = "MEMBER", issue = 287844110 and user = 1197350 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
These facets timed out: issue
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
478087371 | https://github.com/pydata/xarray/pull/1820#issuecomment-478087371 | https://api.github.com/repos/pydata/xarray/issues/1820 | MDEyOklzc3VlQ29tbWVudDQ3ODA4NzM3MQ== | rabernat 1197350 | 2019-03-29T17:39:58Z | 2019-03-29T17:39:58Z | MEMBER | Perhaps we could leverage our recently formed links between Pangeo and the Jupyter folks to help confront these front-end issues, in which we have limited expertise as a project. @ian-r-rose, a developer of jupyter server extensions, has been a very helpful resource. Maybe he could give us some advice? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
WIP: html repr 287844110 | |
476813041 | https://github.com/pydata/xarray/pull/1820#issuecomment-476813041 | https://api.github.com/repos/pydata/xarray/issues/1820 | MDEyOklzc3VlQ29tbWVudDQ3NjgxMzA0MQ== | rabernat 1197350 | 2019-03-26T19:32:30Z | 2019-03-26T19:32:30Z | MEMBER | Hi @benbovy - how can we convince you to work more on this amazing idea? What help / support do you need from other xarray devs? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
WIP: html repr 287844110 | |
453434188 | https://github.com/pydata/xarray/pull/1820#issuecomment-453434188 | https://api.github.com/repos/pydata/xarray/issues/1820 | MDEyOklzc3VlQ29tbWVudDQ1MzQzNDE4OA== | rabernat 1197350 | 2019-01-11T08:47:50Z | 2019-01-11T08:47:50Z | MEMBER | Let's revive this excellent idea! In particular, I would be interested in using the HTML repr on its own in conjunction with #2659 (dict / json serialization of dataset schema). If we could develop a standalone html repr function that interprets the output of |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
WIP: html repr 287844110 |
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