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/4015#issuecomment-622599058,https://api.github.com/repos/pydata/xarray/issues/4015,622599058,MDEyOklzc3VlQ29tbWVudDYyMjU5OTA1OA==,2448579,2020-05-01T22:47:36Z,2020-05-01T22:47:36Z,MEMBER,"@mathuse is right.

The solution is to use `dtype` when we create `meta` for vectorized functions here:
https://github.com/pydata/xarray/blob/3820fb77256682d909c1e41d962e29bec0edd62d/xarray/core/computation.py#L1008-L1011

@ulijh or @mathause , are either of you up for sending in a PR?

For now the workaround is to pass your own `meta = np.ndarray((0,0), dtype=da.dtype)`","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,608974755