issue_comments: 359961228
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/1850#issuecomment-359961228 | https://api.github.com/repos/pydata/xarray/issues/1850 | 359961228 | MDEyOklzc3VlQ29tbWVudDM1OTk2MTIyOA== | 244887 | 2018-01-23T23:01:11Z | 2018-01-23T23:01:11Z | CONTRIBUTOR | I don't have any strong opinion about separate repos or contrib submodules, so long as there is some way to improve discoverability of methods. Having said that, many of the methods mentioned in #1288 are in the numpy namespace, and at least naively applicable to all domains. Would you consider numpy methods with semantics compatible with DataArrays and/or Datasets as appropriate to contribute to core xarray? |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
290593053 |