issue_comments: 155478982
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/650#issuecomment-155478982 | https://api.github.com/repos/pydata/xarray/issues/650 | 155478982 | MDEyOklzc3VlQ29tbWVudDE1NTQ3ODk4Mg== | 2443309 | 2015-11-10T16:34:41Z | 2015-11-10T16:34:41Z | MEMBER |
That would be the main motivation. If Pandas is going the way of pydata/pandas#10030 via mean, I think we could do that as well. I actually like that approach more since we tend to call it a "weighted mean" (see title of pandas issue). |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
115933483 |