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- API design for pointwise indexing · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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121790688 | https://github.com/pydata/xarray/issues/475#issuecomment-121790688 | https://api.github.com/repos/pydata/xarray/issues/475 | MDEyOklzc3VlQ29tbWVudDEyMTc5MDY4OA== | wholmgren 4383303 | 2015-07-16T00:42:08Z | 2015-07-16T00:42:08Z | NONE | Unidata also has a blog post benchmarking cKDTree and other methods and concludes "Your Mileage May Vary". I'd probably just go with a KDTree, but something to aware of. |
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API design for pointwise indexing 95114700 | |
121701139 | https://github.com/pydata/xarray/issues/475#issuecomment-121701139 | https://api.github.com/repos/pydata/xarray/issues/475 | MDEyOklzc3VlQ29tbWVudDEyMTcwMTEzOQ== | wholmgren 4383303 | 2015-07-15T18:15:49Z | 2015-07-15T18:15:49Z | NONE | Seems like if your method is going to be named One thing to keep in mind is that for many of us the "nearest-neighbor" part isn't really |
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API design for pointwise indexing 95114700 |
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