issue_comments: 521413970

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https://github.com/pydata/xarray/issues/3218#issuecomment-521413970 https://api.github.com/repos/pydata/xarray/issues/3218 521413970 MDEyOklzc3VlQ29tbWVudDUyMTQxMzk3MA== 923438 2019-08-14T20:52:06Z 2019-08-14T20:52:06Z NONE

That looks correct. Let me try and revert back to you

On Wed, Aug 14, 2019, 16:44 Maximilian Roos notifications@github.com wrote:

How is merge_asof different from using reindex with method='pad'?

Yes this is right! Mea culpa. We can already use the pandas reindexing for the 1D case (which should cover your case @fjanoos https://github.com/fjanoos ?)

@fjanoos https://github.com/fjanoos can you confirm this is what you're looking for?

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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