issue_comments: 426100334
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/2452#issuecomment-426100334 | https://api.github.com/repos/pydata/xarray/issues/2452 | 426100334 | MDEyOklzc3VlQ29tbWVudDQyNjEwMDMzNA== | 5308236 | 2018-10-01T23:47:43Z | 2018-10-02T14:29:18Z | NONE | Thanks @max-sixty, the checks per call make sense, although I still find 0.5 ms insane for a single-value lookup (python dict-indexing takes about a 50th to index every single item in the array). The reason I'm looking into this is actually multi-dimensional grouping (#2438) which is unfortunately not implemented (the above code is essentially a step towards trying to implement that). Is there a way of vectorizing these calls with that in mind? I.e. apply a method for each group. |
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