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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
153640301 MDU6SXNzdWUxNTM2NDAzMDE= 846 Inconsistent handling of .item with PeriodIndex max-sixty 5635139 closed 0     4 2016-05-08T06:51:03Z 2016-05-11T05:05:36Z 2016-05-11T05:05:36Z MEMBER      

Is this an inconsistency?

With DatetimeIndex, .item() gets the item, and .data gets a 0-d array:

``` python In [14]: da=xr.DataArray(pd.DataFrame(pd.np.random.rand(10), index=pd.DatetimeIndex(start='2000', periods=10,freq='A')))

In [15]: p=da['dim_0'][0]

In [16]: p.values Out[16]: numpy.datetime64('2000-12-31T00:00:00.000000000')

In [17]: p.item() Out[17]: 978220800000000000L ```

But with a PeriodIndex, values gets the item, and so .item() fails

``` python In [22]: da=xr.DataArray(pd.DataFrame(pd.np.random.rand(10), index=pd.PeriodIndex(start='2000', periods=10)))

In [23]: p=da['dim_0'][0]

In [24]: p.values Out[24]: Period('2000', 'A-DEC')

In [25]: p.item() AttributeError: 'pandas._period.Period' object has no attribute 'item' ```

 
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   completed xarray 13221727 issue

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