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  • huard · 2 ✖

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  • interp and reindex should work for 1d -> nd indexing · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
583083189 https://github.com/pydata/xarray/issues/3252#issuecomment-583083189 https://api.github.com/repos/pydata/xarray/issues/3252 MDEyOklzc3VlQ29tbWVudDU4MzA4MzE4OQ== huard 81219 2020-02-06T19:59:29Z 2020-02-06T21:21:26Z CONTRIBUTOR

@shoyer I'm having trouble wrapping my head around this. The example above is essentially a 1D interpolation over y, a coordinate selection over x, and a broadcast over z. I don't think it should interpolate over x, right ? 

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   interp and reindex should work for 1d -> nd indexing 484622545
582945608 https://github.com/pydata/xarray/issues/3252#issuecomment-582945608 https://api.github.com/repos/pydata/xarray/issues/3252 MDEyOklzc3VlQ29tbWVudDU4Mjk0NTYwOA== huard 81219 2020-02-06T15:00:57Z 2020-02-06T15:00:57Z CONTRIBUTOR

Just got bit by this as well. Computing monthly quantile correction factors, so I have an array with dimensions (month, quantile, lon, lat). I then want to apply these correction factors to a time series (time, lon, lat), so I compute the month and quantile of my time series, and want to interp into the quantile correction factors. This doesn't work because both the factors and the time series have (lat, lon) dimensions. 

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   interp and reindex should work for 1d -> nd indexing 484622545

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