issue_comments: 871393973
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/3216#issuecomment-871393973 | https://api.github.com/repos/pydata/xarray/issues/3216 | 871393973 | MDEyOklzc3VlQ29tbWVudDg3MTM5Mzk3Mw== | 42781301 | 2021-06-30T13:14:13Z | 2022-02-08T19:16:54Z | NONE | I understand now. I was referring to the part of the opening comment talking about averages in an hour or minute windows. That can be done with a couple lines of code, but you're right that the data has to be evenly spaced. I'm not sure how to make the varied windows work at all (let alone making it efficient) so I will leave this to you all. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
480753417 |