issues: 60303760

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
60303760 MDU6SXNzdWU2MDMwMzc2MA== 364 pd.Grouper support? 167164 open 0     24 2015-03-09T06:25:14Z 2022-04-09T01:48:48Z   NONE      

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...

 
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