issue_comments: 336592007
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/1631#issuecomment-336592007 | https://api.github.com/repos/pydata/xarray/issues/1631 | 336592007 | MDEyOklzc3VlQ29tbWVudDMzNjU5MjAwNw== | 2443309 | 2017-10-13T23:48:31Z | 2017-10-13T23:48:31Z | MEMBER | Thanks @shoyer. I always appreciated this feature in Pandas so I'm bummed to see it may not have been intentional. I need a xarray interpolate method that fills NaNs so I'll give that a go. I suspect it will be a widely used feature for dealing with missing data. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
265056503 |