issue_comments: 418476055
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/2159#issuecomment-418476055 | https://api.github.com/repos/pydata/xarray/issues/2159 | 418476055 | MDEyOklzc3VlQ29tbWVudDQxODQ3NjA1NQ== | 1217238 | 2018-09-04T18:44:35Z | 2018-09-04T22:16:34Z | MEMBER | NumPy's handling of object arrays is unfortunately inconsistent. So maybe it isn't the best idea to use NumPy arrays for this. Python's built-in list/dict might be better choices here. Something like:
|
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
324350248 |