issue_comments: 469443856
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/2799#issuecomment-469443856 | https://api.github.com/repos/pydata/xarray/issues/2799 | 469443856 | MDEyOklzc3VlQ29tbWVudDQ2OTQ0Mzg1Ng== | 1386642 | 2019-03-04T22:15:49Z | 2019-03-04T22:15:49Z | CONTRIBUTOR | Thanks so much @shoyer. I didn't realize there was that much overhead for a single function call. OTOH, 2x slower than numpy would be way better than 1000x. After looking at the profiling info more, I tend to agree with your 10x maximum speed-up. A couple of particularly slow functions (e.g. |
{
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
416962458 |