issue_comments: 457209272
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/1194#issuecomment-457209272 | https://api.github.com/repos/pydata/xarray/issues/1194 | 457209272 | MDEyOklzc3VlQ29tbWVudDQ1NzIwOTI3Mg== | 5635139 | 2019-01-24T14:09:32Z | 2019-01-24T14:09:32Z | MEMBER | @gerritholl check out https://pandas-docs.github.io/pandas-docs-travis/whatsnew/v0.24.0.html#whatsnew-0240-enhancements-intna I think that's the closest way of having int support; from my understanding supporting masked arrays directly would be a decent lift |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
199188476 |