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  • jhamman · 1 ✖

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  • apply_raw() for a simpler version of apply_ufunc() · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
341717126 https://github.com/pydata/xarray/issues/1618#issuecomment-341717126 https://api.github.com/repos/pydata/xarray/issues/1618 MDEyOklzc3VlQ29tbWVudDM0MTcxNzEyNg== jhamman 2443309 2017-11-03T14:22:16Z 2017-11-03T14:22:16Z MEMBER

Would something like the following use case be covered by apply_raw:

```Python

def f(a, b, c): ''' inputs: 3 1D Numpy arrays of differing lengths outputs: 1 1D Numpy array like a ''' new = a + b.sum() + c.min() # just an example using all three return new ```

The current apply_ufunc, when applied on NDarrays (eg time,x,y) cannot handle this since it tries to make sure all the inputs are broadcastable with each other.

 
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   apply_raw() for a simpler version of apply_ufunc() 264098632

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