issue_comments: 484231843
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/2697#issuecomment-484231843 | https://api.github.com/repos/pydata/xarray/issues/2697 | 484231843 | MDEyOklzc3VlQ29tbWVudDQ4NDIzMTg0Mw== | 13301940 | 2019-04-17T19:38:19Z | 2019-04-17T19:38:19Z | MEMBER | Any updates regarding this? A while ago @rabernat mentioned that @dopplershift was potentially interested in working on implementing this feature in xarray in https://github.com/pangeo-data/esgf2xarray/issues/1#issuecomment-470707112 I am interested in helping out with getting this feature in xarray. I tried finding Python tools that provide NcML functionality and the ones I found namely: seem to be outdated and unmaintained. In the meantime, I've been experimenting with some basics of NcML: https://nbviewer.jupyter.org/github/NCAR/xncml/blob/master/docs/source/tutorial.ipynb With guidance, input and feedback on what the API is expected to look like in xarray, I'd be more than happy to work on this moving forward |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
401874795 |