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  • Interpolation behaviour inconsistent with numpy? · 2 ✖

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891597039 https://github.com/pydata/xarray/issues/5664#issuecomment-891597039 https://api.github.com/repos/pydata/xarray/issues/5664 IC_kwDOAMm_X841JLDv mathause 10194086 2021-08-03T07:13:17Z 2021-08-03T07:13:17Z MEMBER

There does not seem a way to force the numpy interpolator for the 1D case:

https://github.com/pydata/xarray/blob/2f8623d4d9929b61ff4ebfd5232c12474420dfae/xarray/core/missing.py#L472

(that could be a work around)

 
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   Interpolation behaviour inconsistent with numpy?  957918751
891140503 https://github.com/pydata/xarray/issues/5664#issuecomment-891140503 https://api.github.com/repos/pydata/xarray/issues/5664 IC_kwDOAMm_X841HbmX dcherian 2448579 2021-08-02T15:59:10Z 2021-08-02T16:00:14Z MEMBER

Thanks @mathisc we use scipy by default and that's what it does...

``` python In [6]: from scipy.interpolate import interp1d

In [7]: f = sp.interpolate.interp1d([0, 1, 2], [np.nan, 0, 1])

In [8]: f([0, 1, 2]) Out[8]: array([nan, nan, 1.]) ```

Can you file an issue over at scipy?

EDIT: I guess we could skip interpolating when output coordinate values are a subset of the input coordinate values.

 
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   Interpolation behaviour inconsistent with numpy?  957918751

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