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- merge_asof functionality · 3 ✖
| 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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| 521411228 | https://github.com/pydata/xarray/issues/3218#issuecomment-521411228 | https://api.github.com/repos/pydata/xarray/issues/3218 | MDEyOklzc3VlQ29tbWVudDUyMTQxMTIyOA== | max-sixty 5635139 | 2019-08-14T20:43:57Z | 2019-08-14T20:43:57Z | MEMBER | 
 Yes this is right! Mea culpa. We can already use the pandas reindexing for the 1D case (which should cover your case @fjanoos ?) @fjanoos can you confirm this is what you're looking for? ```python In [4]: da=xr.DataArray(list('abcdefghil'), dims=['x'],coords=dict(x=range(10))) In [8]: da.reindex(x=[0,2.5,2.6,2.7,5,6.2], method='nearest') Out[8]: <xarray.DataArray (x: 6)> array(['a', 'd', 'd', 'd', 'f', 'g'], dtype='<U1') Coordinates: * x (x) float64 0.0 2.5 2.6 2.7 5.0 6.2 ``` | {
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| 521387096 | https://github.com/pydata/xarray/issues/3218#issuecomment-521387096 | https://api.github.com/repos/pydata/xarray/issues/3218 | MDEyOklzc3VlQ29tbWVudDUyMTM4NzA5Ng== | shoyer 1217238 | 2019-08-14T19:34:22Z | 2019-08-14T19:34:22Z | MEMBER | How is merge_asof different from using reindex with method='pad'? | {
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| 521357519 | https://github.com/pydata/xarray/issues/3218#issuecomment-521357519 | https://api.github.com/repos/pydata/xarray/issues/3218 | MDEyOklzc3VlQ29tbWVudDUyMTM1NzUxOQ== | max-sixty 5635139 | 2019-08-14T18:12:43Z | 2019-08-14T18:12:43Z | MEMBER | I think this would be good. It would need to be implemented outside of python (cython / numba / etc) given the performance requirements. I'm not sure whether we could borrow the pandas functionality and apply it to multi-dimensional arrays. Assuming we'd need to write our own, xarray doesn't have any cython dependencies, so I think it would be best in a separate and optional package. These could go in numbagg. It's non-trivial work, so someone would have to have a strong need for it. | {
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