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  • apply_raw() for a simpler version of apply_ufunc() · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
753346576 https://github.com/pydata/xarray/issues/1618#issuecomment-753346576 https://api.github.com/repos/pydata/xarray/issues/1618 MDEyOklzc3VlQ29tbWVudDc1MzM0NjU3Ng== shoyer 1217238 2021-01-01T17:14:42Z 2021-01-01T17:14:42Z MEMBER

More related discussion: https://github.com/pydata/xarray/issues/1074#issuecomment-258327585

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  apply_raw() for a simpler version of apply_ufunc() 264098632
538461493 https://github.com/pydata/xarray/issues/1618#issuecomment-538461493 https://api.github.com/repos/pydata/xarray/issues/1618 MDEyOklzc3VlQ29tbWVudDUzODQ2MTQ5Mw== stale[bot] 26384082 2019-10-04T16:07:28Z 2019-10-04T16:07:28Z NONE

In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the stale label; otherwise it will be marked as closed automatically

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  apply_raw() for a simpler version of apply_ufunc() 264098632
341744742 https://github.com/pydata/xarray/issues/1618#issuecomment-341744742 https://api.github.com/repos/pydata/xarray/issues/1618 MDEyOklzc3VlQ29tbWVudDM0MTc0NDc0Mg== shoyer 1217238 2017-11-03T15:53:28Z 2017-11-03T15:53:28Z MEMBER

@jhamman you could do that core dimensions, e.g., input_core_dims=[('time',), ('x',), ('y',)], output_core_dims=[('time',)]. But apply_raw would have the advantage that you don't need to think about core dimensions :).

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