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/1269#issuecomment-280122805,https://api.github.com/repos/pydata/xarray/issues/1269,280122805,MDEyOklzc3VlQ29tbWVudDI4MDEyMjgwNQ==,1217238,2017-02-15T20:04:07Z,2017-02-15T20:04:07Z,MEMBER,"I think this could be done with minimal GroupBy subclasses to supply the
default dimension argument for aggregation functions. All the machinery on
groupby should already be there.
On Wed, Feb 15, 2017 at 10:59 AM Daniel Rothenberg <notifications@github.com>
wrote:

> @MaximilianR <https://github.com/MaximilianR> Oh, the interface is easy
> enough to do, even maintaining backwards-compatibility (already have that
> working). I was considering going the route done with GroupBy
> <https://github.com/pydata/xarray/blob/93d6963315026f87841c7cf39cc39bb78f555345/xarray/core/groupby.py#L165>
> and the classes that compose it, like DatasetGroupBy
> <https://github.com/pydata/xarray/blob/93d6963315026f87841c7cf39cc39bb78f555345/xarray/core/groupby.py#L586>...
> basically, we just record the wanted resampling dimension and inject the
> grouping/resampling operations we want. Also adds the ability to specialize
> methods like .first() and .last(), which is done under the current
> implementation.
>
> *But*.... if there's a simpler way, that might be preferable!
>
> —
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