issue_comments: 433076200

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https://github.com/pydata/xarray/pull/2509#issuecomment-433076200 https://api.github.com/repos/pydata/xarray/issues/2509 433076200 MDEyOklzc3VlQ29tbWVudDQzMzA3NjIwMA== 2443309 2018-10-25T14:36:09Z 2018-10-25T14:36:09Z MEMBER

Feeling like playing devils advocate here. I would expect we'll run into similar confusion with the DataArray transpose property.

```Python

da = xr.DataArray([1, 2, 3, 4], dims=('time', ), coords={'time': pd.date_range('2018-10-24', periods=4)}) da.time

<xarray.DataArray 'time' (time: 4)> array(['2018-10-24T00:00:00.000000000', '2018-10-25T00:00:00.000000000', '2018-10-26T00:00:00.000000000', '2018-10-27T00:00:00.000000000'], dtype='datetime64[ns]') Coordinates: * time (time) datetime64[ns] 2018-10-24 2018-10-25 2018-10-26 2018-10-27

da = xr.DataArray([1, 2, 3, 4], dims=('T', ), coords={'T': pd.date_range('2018-10-24', periods=4)}) da.T

<xarray.DataArray (T: 4)> array([1, 2, 3, 4]) Coordinates: * T (T) datetime64[ns] 2018-10-24 2018-10-25 2018-10-26 2018-10-27 ```

 
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