issue_comments
3 rows where author_association = "CONTRIBUTOR", issue = 186169975 and user = 3639582 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: reactions, created_at (date), updated_at (date)
issue 1
- Use xarray.open_dataset() for password-protected Opendap files · 3 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
517231392 | https://github.com/pydata/xarray/issues/1068#issuecomment-517231392 | https://api.github.com/repos/pydata/xarray/issues/1068 | MDEyOklzc3VlQ29tbWVudDUxNzIzMTM5Mg== | mrpgraae 3639582 | 2019-08-01T10:47:12Z | 2019-08-01T10:47:12Z | CONTRIBUTOR | @juliancanellas Great! Good to see that someone else actually benefits from this feature, years after it was implemented 😄 |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Use xarray.open_dataset() for password-protected Opendap files 186169975 | |
327413829 | https://github.com/pydata/xarray/issues/1068#issuecomment-327413829 | https://api.github.com/repos/pydata/xarray/issues/1068 | MDEyOklzc3VlQ29tbWVudDMyNzQxMzgyOQ== | mrpgraae 3639582 | 2017-09-06T08:30:22Z | 2017-09-06T08:30:22Z | CONTRIBUTOR | Thank you @shoyer, I'll start work on the implementation. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Use xarray.open_dataset() for password-protected Opendap files 186169975 | |
327179289 | https://github.com/pydata/xarray/issues/1068#issuecomment-327179289 | https://api.github.com/repos/pydata/xarray/issues/1068 | MDEyOklzc3VlQ29tbWVudDMyNzE3OTI4OQ== | mrpgraae 3639582 | 2017-09-05T13:43:55Z | 2017-09-05T13:43:55Z | CONTRIBUTOR | @shoyer @jenfly Has this been implemented? I can't see any open PRs relating to this, so I guess no one is working on it? I would be happy to try and implement it, if that's fine with you? It seems like you settled on the solution of passing a session object to a PydapDataStore and then passing that to open_dataset(), correct? Thanks in advance! |
{ "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Use xarray.open_dataset() for password-protected Opendap files 186169975 |
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