issue_comments
4 rows where issue = 484863660 and user = 1386642 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- [WIP] Implement 1D to ND interpolation · 4 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
747145009 | https://github.com/pydata/xarray/pull/3262#issuecomment-747145009 | https://api.github.com/repos/pydata/xarray/issues/3262 | MDEyOklzc3VlQ29tbWVudDc0NzE0NTAwOQ== | nbren12 1386642 | 2020-12-17T01:29:12Z | 2020-12-17T01:29:12Z | CONTRIBUTOR | I'm going to close this since I won't be working on it any longer. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
[WIP] Implement 1D to ND interpolation 484863660 | |
549085085 | https://github.com/pydata/xarray/pull/3262#issuecomment-549085085 | https://api.github.com/repos/pydata/xarray/issues/3262 | MDEyOklzc3VlQ29tbWVudDU0OTA4NTA4NQ== | nbren12 1386642 | 2019-11-02T22:01:10Z | 2019-11-02T22:01:10Z | CONTRIBUTOR | Unfortunately, I don’t think I have much time now to contribute to a general purpose solution leveraging xarray’s built-in indexing. So feel free to add to or close this PR. To be successful, I would need to study xarray’s indexing internals more since I don’t think it is as easily implemented as a routine calling DataArray methods. Some custom numba code I wrote fits in my brain much better, and is general enough for my purposes when wrapped with |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
[WIP] Implement 1D to ND interpolation 484863660 | |
525157967 | https://github.com/pydata/xarray/pull/3262#issuecomment-525157967 | https://api.github.com/repos/pydata/xarray/issues/3262 | MDEyOklzc3VlQ29tbWVudDUyNTE1Nzk2Nw== | nbren12 1386642 | 2019-08-27T06:26:49Z | 2019-08-27T06:26:49Z | CONTRIBUTOR | Thanks so much for the help. This is a good learning experience for me.
Yes. This is where I got stuck TBH. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
[WIP] Implement 1D to ND interpolation 484863660 | |
525025890 | https://github.com/pydata/xarray/pull/3262#issuecomment-525025890 | https://api.github.com/repos/pydata/xarray/issues/3262 | MDEyOklzc3VlQ29tbWVudDUyNTAyNTg5MA== | nbren12 1386642 | 2019-08-26T20:47:33Z | 2019-08-26T20:48:03Z | CONTRIBUTOR | @shoyer Thanks for the comments. I was struggling to incorporate it into The interpolation code I was working with doesn't regrid the coordinates appropriately, so we would need to do that too. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
[WIP] Implement 1D to ND interpolation 484863660 |
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