issue_comments: 531522690
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/3291#issuecomment-531522690 | https://api.github.com/repos/pydata/xarray/issues/3291 | 531522690 | MDEyOklzc3VlQ29tbWVudDUzMTUyMjY5MA== | 1217238 | 2019-09-15T00:00:37Z | 2019-09-15T00:00:37Z | MEMBER | You should be getting a warning about this if you use the latest version of pandas. In the future, this behavior will change to return an object dtype array full of pandas Datetime objects. Unfortunately NumPy doesn't have a built-in datetime with time-zone stype, so this is about the best we can do. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
490618213 |