issue_comments: 60413356

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html_url issue_url id node_id user created_at updated_at author_association body reactions performed_via_github_app issue
https://github.com/pydata/xarray/issues/267#issuecomment-60413356 https://api.github.com/repos/pydata/xarray/issues/267 60413356 MDEyOklzc3VlQ29tbWVudDYwNDEzMzU2 291576 2014-10-24T16:36:18Z 2014-10-24T16:36:18Z CONTRIBUTOR

A bit of a further wrinkle is that date selection seems to be limited to local time only because of this limitation. Consider the following:

```

c['time'][:25] <xray.DataArray 'time' (time: 25)> array(['2013-01-01T06:15:00.000000000-0500', '2013-01-01T07:00:00.000000000-0500', '2013-01-01T08:00:00.000000000-0500', '2013-01-01T09:00:00.000000000-0500', '2013-01-01T10:00:00.000000000-0500', '2013-01-01T11:00:00.000000000-0500', '2013-01-01T12:00:00.000000000-0500', '2013-01-01T13:00:00.000000000-0500', '2013-01-01T14:00:00.000000000-0500', '2013-01-01T15:00:00.000000000-0500', '2013-01-01T16:00:00.000000000-0500', '2013-01-01T17:00:00.000000000-0500', '2013-01-01T18:00:00.000000000-0500', '2013-01-01T19:00:00.000000000-0500', '2013-01-01T20:00:00.000000000-0500', '2013-01-01T21:00:00.000000000-0500', '2013-01-01T22:00:00.000000000-0500', '2013-01-01T23:00:00.000000000-0500', '2013-01-02T00:00:00.000000000-0500', '2013-01-02T01:00:00.000000000-0500', '2013-01-02T02:00:00.000000000-0500', '2013-01-02T03:00:00.000000000-0500', '2013-01-02T04:00:00.000000000-0500', '2013-01-02T05:00:00.000000000-0500', '2013-01-02T06:00:00.000000000-0500'], dtype='datetime64[ns]') Coordinates: * time (time) datetime64[ns] 2013-01-01T11:15:00 ... latitude float32 64.833 elevation float32 137.5 longitude float32 -147.6 c.sel(time='2013-01-01')['time'] <xray.DataArray 'time' (time: 13)> array(['2013-01-01T06:15:00.000000000-0500', '2013-01-01T07:00:00.000000000-0500', '2013-01-01T08:00:00.000000000-0500', '2013-01-01T09:00:00.000000000-0500', '2013-01-01T10:00:00.000000000-0500', '2013-01-01T11:00:00.000000000-0500', '2013-01-01T12:00:00.000000000-0500', '2013-01-01T13:00:00.000000000-0500', '2013-01-01T14:00:00.000000000-0500', '2013-01-01T15:00:00.000000000-0500', '2013-01-01T16:00:00.000000000-0500', '2013-01-01T17:00:00.000000000-0500', '2013-01-01T18:00:00.000000000-0500'], dtype='datetime64[ns]') Coordinates: * time (time) datetime64[ns] 2013-01-01T11:15:00 ... latitude float32 64.833 elevation float32 137.5 longitude float32 -147.6 ```

I don't know how I would (easily) slice this data array such as to grab only data for a UTC day.

 
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