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-60425242,https://api.github.com/repos/pydata/xarray/issues/267,60425242,MDEyOklzc3VlQ29tbWVudDYwNDI1MjQy,291576,2014-10-24T17:58:37Z,2014-10-24T17:58:37Z,CONTRIBUTOR,"So, is the string approach I used above to grab a single day's data a bug or a feature? It is a nice short-hand, but I don't want to rely on it if it isn't intended to be a feature. Similarly, if I supply a Year-Month string, I get data for that month. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,46756880 https://github.com/pydata/xarray/issues/267#issuecomment-60413505,https://api.github.com/repos/pydata/xarray/issues/267,60413505,MDEyOklzc3VlQ29tbWVudDYwNDEzNTA1,291576,2014-10-24T16:37:26Z,2014-10-24T16:37:26Z,CONTRIBUTOR,"Gah, I am sorry, please disregard my last comment. I can't add/subtract... ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,46756880 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] 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'] 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. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,46756880