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/3343#issuecomment-535969947,https://api.github.com/repos/pydata/xarray/issues/3343,535969947,MDEyOklzc3VlQ29tbWVudDUzNTk2OTk0Nw==,2448579,2019-09-27T14:44:17Z,2019-09-27T14:44:17Z,MEMBER,"More generally, this is about applying operations with non dimensional coordinates which need not be 1D. Thinking about API, how about adding a `coord` kwarg?

`da.differentiate(dim=""nx"", coord=""x"")` 

This says use `np.diff` on `da` along dimension `nx` and divide by spacing calculated by `np.diff` on `da.x` along dimension `nx`

If `x` is 1D, then `da.differentiate(coord=""x"")` is equivalent to `da.differentiate(dim=""nx"", coord=""x"")` which is your proposal. i think this is cleaner and more explicit than automatically mapping 1D nondimensional coords to dimensions. ","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,498297720