html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/1618#issuecomment-753346576,https://api.github.com/repos/pydata/xarray/issues/1618,753346576,MDEyOklzc3VlQ29tbWVudDc1MzM0NjU3Ng==,1217238,2021-01-01T17:14:42Z,2021-01-01T17:14:42Z,MEMBER,More related discussion: https://github.com/pydata/xarray/issues/1074#issuecomment-258327585,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,264098632
https://github.com/pydata/xarray/issues/1618#issuecomment-538461493,https://api.github.com/repos/pydata/xarray/issues/1618,538461493,MDEyOklzc3VlQ29tbWVudDUzODQ2MTQ5Mw==,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
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,264098632
https://github.com/pydata/xarray/issues/1618#issuecomment-341744742,https://api.github.com/repos/pydata/xarray/issues/1618,341744742,MDEyOklzc3VlQ29tbWVudDM0MTc0NDc0Mg==,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 :).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,264098632
https://github.com/pydata/xarray/issues/1618#issuecomment-341717126,https://api.github.com/repos/pydata/xarray/issues/1618,341717126,MDEyOklzc3VlQ29tbWVudDM0MTcxNzEyNg==,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.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,264098632