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 |
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