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1 row where author_association = "MEMBER", issue = 216689747 and user = 1217238 sorted by updated_at descending

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  • shoyer · 1 ✖

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  • extract values at nearest point with multidimensional latitude and longitude field · 1 ✖

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  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
289164300 https://github.com/pydata/xarray/issues/1325#issuecomment-289164300 https://api.github.com/repos/pydata/xarray/issues/1325 MDEyOklzc3VlQ29tbWVudDI4OTE2NDMwMA== shoyer 1217238 2017-03-24T23:10:39Z 2017-03-24T23:10:39Z MEMBER

The right solution is to use a KDTree. We've discussed possible syntax for this in https://github.com/pydata/xarray/issues/475 but nobody has implemented it yet. Russ Rew wrote a nice overview article on using KDTree in http://www.unidata.ucar.edu/blogs/developer/entry/accessing_netcdf_data_by_coordinates

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  extract values at nearest point with multidimensional latitude and longitude field 216689747

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