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- DataArray.interp() : poor performance · 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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396050734 | https://github.com/pydata/xarray/issues/2223#issuecomment-396050734 | https://api.github.com/repos/pydata/xarray/issues/2223 | MDEyOklzc3VlQ29tbWVudDM5NjA1MDczNA== | e-roux 15956441 | 2018-06-10T13:53:25Z | 2018-06-10T13:53:25Z | CONTRIBUTOR | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
DataArray.interp() : poor performance 330918967 | ||
396043207 | https://github.com/pydata/xarray/issues/2223#issuecomment-396043207 | https://api.github.com/repos/pydata/xarray/issues/2223 | MDEyOklzc3VlQ29tbWVudDM5NjA0MzIwNw== | e-roux 15956441 | 2018-06-10T11:55:54Z | 2018-06-10T11:55:54Z | CONTRIBUTOR | Thanks for your comment had a deeper look at Updated my comparison with the same behavior with scipy and sdf in a jupyter notebook on mybinder It seems everything's well with xarray. Extrapolation (linear first) would be a good feature too, I put an example at the end of the notebook about sdf interpolation/extrapolation possibilites (work for nd-arrays of dim 32 as with numpy) |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
DataArray.interp() : poor performance 330918967 |
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