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/2907#issuecomment-484956893,https://api.github.com/repos/pydata/xarray/issues/2907,484956893,MDEyOklzc3VlQ29tbWVudDQ4NDk1Njg5Mw==,29361544,2019-04-19T16:59:17Z,2019-04-19T16:59:17Z,NONE,"Sooo many thanks for this ultrafast response. You're correct. What I didn't know was that the dimensions to multiply have to have the same names. I thought I could sum over different coordinates indicating the names within the `dims` keyword, but the implementation makes totally sense now. To summarize: 
Dimensions to sum over have to have the same name and the same ordering of the coordinate values (else f.e. a `ValueError: indexes along dimension 'model name' are not equal ` is raised)

But shouldn't there be an error message if one specifies dimensions to `dims` that are not in both of the dataarrays?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,435170643