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issues: 143764621

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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
143764621 MDU6SXNzdWUxNDM3NjQ2MjE= 805 pd.Period can't be used as a 1-element coord 1634164 closed 0     5 2016-03-27T00:45:52Z 2016-12-24T00:09:48Z 2016-12-24T00:09:48Z NONE      

With xarray 0.7.2, following this basic example from the docs, but with a modification in the last line to use pd.Period instead of pd.Timestamp:

``` python import numpy as np import xarray as xr

temp = 15 + 8 * np.random.randn(2, 2, 3) precip = 10 * np.random.rand(2, 2, 3) lon = [[-99.83, -99.32], [-99.79, -99.23]] lat = [[42.25, 42.21], [42.63, 42.59]]

ds = xr.Dataset({'temperature': (['x', 'y', 'time'], temp), 'precipitation': (['x', 'y', 'time'], precip)}, coords={'lon': (['x', 'y'], lon), 'lat': (['x', 'y'], lat), 'time': pd.date_range('2014-09-06', periods=3), 'reference_time': pd.Period('2014')}) ```

This raises:

ValueError: dimensions ('reference_time',) must have the same length as the number of data dimensions, ndim=0

I noticed (#645) that there are other issues stemming from pandas' PeriodIndex & company, so if this is not a straightforward fix I will understand!

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  completed 13221727 issue

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