issue_comments
4 rows where issue = 931016490 and user = 14371165 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: updated_at (date)
issue 1
- Do not transpose 1d arrays during interpolation · 4 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
886450425 | https://github.com/pydata/xarray/pull/5542#issuecomment-886450425 | https://api.github.com/repos/pydata/xarray/issues/5542 | IC_kwDOAMm_X8401ij5 | Illviljan 14371165 | 2021-07-26T07:28:58Z | 2021-07-26T07:33:57Z | MEMBER | It probably is decently fast but it can't compare to just not running the
|
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Do not transpose 1d arrays during interpolation 931016490 | |
886261206 | https://github.com/pydata/xarray/pull/5542#issuecomment-886261206 | https://api.github.com/repos/pydata/xarray/issues/5542 | IC_kwDOAMm_X84000XW | Illviljan 14371165 | 2021-07-25T21:38:49Z | 2021-07-25T21:38:49Z | MEMBER |
Yes, that's the copy that's slow and there's no real need to create a new copy in the 1D case. My (bad) idea was to just return the original array there instead, but as you noted that might not be fully intuitive. A ASV for 1D- and ND-interpolation and having it running in the CI would be nice. Though I'm not really interested in implementing that, It would be just another thing to document for me because I use other profilers anyway and as you said getting it setup requires some work that I don't enjoy. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Do not transpose 1d arrays during interpolation 931016490 | |
886247722 | https://github.com/pydata/xarray/pull/5542#issuecomment-886247722 | https://api.github.com/repos/pydata/xarray/issues/5542 | IC_kwDOAMm_X8400xEq | Illviljan 14371165 | 2021-07-25T19:36:12Z | 2021-07-25T19:36:12Z | MEMBER | Yes this improves the interp performance a bit. The .copy in the transpose is rather slow so it seems better to just not do it. An alternative is removing the .copy in the transpose or make it an option? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Do not transpose 1d arrays during interpolation 931016490 | |
869223054 | https://github.com/pydata/xarray/pull/5542#issuecomment-869223054 | https://api.github.com/repos/pydata/xarray/issues/5542 | MDEyOklzc3VlQ29tbWVudDg2OTIyMzA1NA== | Illviljan 14371165 | 2021-06-27T21:00:55Z | 2021-06-27T21:01:17Z | MEMBER | It's just a simple copy/paste job at the moment. I welcome suggestions for a more elegant solution. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Do not transpose 1d arrays during interpolation 931016490 |
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