pd.Grouper support?

In pandas, you can pas a pandas.TimeGrouper object to a .groupby() call, and it allows you to group by month, year, day, or other times, without manually creating a new index with those values first. It would be great if you could do this with xray, but at the moment, I get:

/usr/local/lib/python3.4/dist-packages/xray/core/groupby.py in __init__(self, obj, group, squeeze)
     66             if the dimension is squeezed out.
     67         """
---> 68         if group.ndim != 1:
     69             # TODO: remove this limitation?
     70             raise ValueError('`group` must be 1 dimensional')

AttributeError: 'TimeGrouper' object has no attribute 'ndim'

Not sure how this will work though, because pandas.TimeGrouper doesn’t appear to work with multi-index dataframes yet anyway, so maybe there needs to be a feature request over there too, or maybe it’s better to implement something from scratch…

[shoyer]

Well, the functionality is still there, it’s just recommended that you use pd.Grouper. On Wed, Nov 29, 2017 at 2:47 AM lexual [e-mail] wrote:

pd.TimeGrouper is deprecated in latest pandas release, so I imagine this bug should be closed.

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