issue_comments: 433160023
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/1192#issuecomment-433160023 | https://api.github.com/repos/pydata/xarray/issues/1192 | 433160023 | MDEyOklzc3VlQ29tbWVudDQzMzE2MDAyMw== | 14314623 | 2018-10-25T18:35:57Z | 2018-10-25T18:35:57Z | CONTRIBUTOR | Is this feature still being considered? A big +1 from me. I wrote my own function to achieve this (using dask.array.coarsen), but I was planning to implement a similar functionality in xgcm, and it would be ideal if we could use an upstream implementation from xarray. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
198742089 |