issue_comments: 393759154
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| 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/2197#issuecomment-393759154 | https://api.github.com/repos/pydata/xarray/issues/2197 | 393759154 | MDEyOklzc3VlQ29tbWVudDM5Mzc1OTE1NA== | 1217238 | 2018-06-01T05:07:34Z | 2018-06-01T05:07:34Z | MEMBER | This is a good point -- the current code only really makes sense when interpolating to a higher frequency, e.g., daily -> hourly. I do think going to higher frequencies is the main use-case for interpolation, but I don't think it needs to raise errors in this case. At the least, it would be OK to fill in the invalid values with NaN. I think the fix might be as simple as setting Any interest in putting together a pull request? |
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