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/1080#issuecomment-261198288,https://api.github.com/repos/pydata/xarray/issues/1080,261198288,MDEyOklzc3VlQ29tbWVudDI2MTE5ODI4OA==,10050469,2016-11-17T09:32:59Z,2016-11-17T09:32:59Z,MEMBER,"Sorry for chiming in here. Using the example above, if we have the choice between:
1) `sig.lowpass(0.2).multiply(3)`
2) `sig.accessorlib.lowpass(0.2).multiply(3)`
3) `sig.pipe(xdsp.lowpass, 0.2).pipe(np.multiply, 3)`
4) `sig(xdsp.lowpass, 0.2)(np.multiply, 3)`

Of course, (1) is attractive because straight forward (as the dev of a small xarray accessor, I also forget very often that I have to add an attribute between the dataset and my function call). But (2) has the huge advantage that it clearly says where the code of the function is found, and where to ask questions when things do not work as expected. 

(3) is OK for me since it is very explicit, but I find that (4) is quite ugly.
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