issue_comments: 394763540
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/2213#issuecomment-394763540 | https://api.github.com/repos/pydata/xarray/issues/2213 | 394763540 | MDEyOklzc3VlQ29tbWVudDM5NDc2MzU0MA== | 1217238 | 2018-06-05T15:55:41Z | 2018-06-05T15:55:41Z | MEMBER | @hans-permana your example shows a different issue: indexing with a date string yields a time dimension of length 1, rather than squeezing it out (as is the case for datetime strings). This behavior is actually expected/consistent with pandas, although I agree that it is surprising. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
329066551 |