issue_comments: 386854560

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https://github.com/pydata/xarray/pull/2104#issuecomment-386854560 https://api.github.com/repos/pydata/xarray/issues/2104 386854560 MDEyOklzc3VlQ29tbWVudDM4Njg1NDU2MA== 6815844 2018-05-06T05:13:09Z 2018-05-06T05:13:09Z MEMBER

@shoyer , Yes, linear and nearest can handle NaN intuitively, but other methods need to invert some matrices. For example, cubic spline can not be used with nan-including arrays, ```python In [1]: x = np.arange(4) ...: y = np.array([0, 1, np.nan, 3]) ...:

In [2]: # 'linear' works as expected ...: interp1d(x, y, kind='linear')([0.5, 1.5]) ...: Out[2]: array([0.5, nan])

In [3]: # 'cubic' returns an all nan array ...: interp1d(x, y, kind='cubic')([0.5, 1.5]) ...: Out[3]: array([nan, nan]) ```

 
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