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  • Resample interpolate failing on tutorial dataset · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
334224596 https://github.com/pydata/xarray/issues/1605#issuecomment-334224596 https://api.github.com/repos/pydata/xarray/issues/1605 MDEyOklzc3VlQ29tbWVudDMzNDIyNDU5Ng== darothen 4992424 2017-10-04T17:10:02Z 2017-10-04T17:10:02Z NONE

(sorry, originally commented from my work account)

The tutorial dataset is ~6-hourly, so your operation is a downsampling operation. We don't actually support interpolation on downsampling operations - just aggregations/reductions. Upsampling supports interpolation since there is no implicit way to estimate data between the gaps at the lower temporal frequency. If you just want to estimate a given field at 15-day intervals, for 00Z on those days, then I think you should use ds.reindex(), but at the moment I do not think it will work with timeseries. That would be a critical feature to implement.

 
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   Resample interpolate failing on tutorial dataset  262847801

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