issue_comments: 77984506

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https://github.com/pydata/xarray/issues/364#issuecomment-77984506 https://api.github.com/repos/pydata/xarray/issues/364 77984506 MDEyOklzc3VlQ29tbWVudDc3OTg0NTA2 1217238 2015-03-10T02:21:37Z 2015-03-10T02:21:37Z MEMBER

Hmm. ds['time.time'] appears to be broken in xray (it casts to a datetime64 array). I'll make a new issue for that.

However, it should work in pandas -- you can do df['time'].dt.time:

``` In [13]: t = pd.date_range('2000-01-01', periods=10000, freq='H')

In [14]: t.time Out[14]: array([datetime.time(0, 0), datetime.time(1, 0), datetime.time(2, 0), ..., datetime.time(13, 0), datetime.time(14, 0), datetime.time(15, 0)], dtype=object) ```

The simplest way to do timeofday, though, is probably just to calculate ds.coords['timeofday'] = ds['time.hour'] + 60 * ds['time.minute']. Then you can do ds.groupby('timeofday').

 
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