issue_comments: 609472798
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/pull/3925#issuecomment-609472798 | https://api.github.com/repos/pydata/xarray/issues/3925 | 609472798 | MDEyOklzc3VlQ29tbWVudDYwOTQ3Mjc5OA== | 1217238 | 2020-04-05T19:53:44Z | 2020-04-05T19:53:44Z | MEMBER | Related to my microbenchmark, it might also be worth considering pure NumPy versions of common indexing operations, to avoid the need to repeatedly create hash-tables. But that could be quite a bit of work to do comprehensively. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
592312709 |