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 52799752,MDExOlB1bGxSZXF1ZXN0MjY1NDY5NzQ=,301,Add attribute style access for variables and attributes,1217238,closed,0,,836999,0,2014-12-24T06:41:22Z,2014-12-24T07:07:25Z,2014-12-24T07:07:24Z,MEMBER,,0,pydata/xarray/pulls/301,"Fixes #286 ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/301/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 52683871,MDExOlB1bGxSZXF1ZXN0MjY0Nzc5MjQ=,299,Update docs,1217238,closed,0,,836999,0,2014-12-22T20:09:54Z,2014-12-22T21:00:58Z,2014-12-22T21:00:56Z,MEMBER,,0,pydata/xarray/pulls/299,,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/299/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 52627673,MDExOlB1bGxSZXF1ZXN0MjY0NDM0MTM=,297,Better decoding of netCDF times,1217238,closed,0,,836999,0,2014-12-22T08:03:02Z,2014-12-22T20:09:43Z,2014-12-22T20:09:41Z,MEMBER,,0,pydata/xarray/pulls/297,"This version avoids using the netCDF4 library unless strictly necessary (e.g., for non-standard calendars). ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/297/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 52627885,MDExOlB1bGxSZXF1ZXN0MjY0NDM1MzY=,298,Fix DataArray.__init__ docstring,1217238,closed,0,,836999,0,2014-12-22T08:07:10Z,2014-12-22T08:25:15Z,2014-12-22T08:25:15Z,MEMBER,,0,pydata/xarray/pulls/298,"xref: #277 ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/298/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 52548571,MDExOlB1bGxSZXF1ZXN0MjY0MTA4MDA=,296,BUG: fix string <-> char conversion for non-contiguous arrays,1217238,closed,0,,836999,0,2014-12-20T02:23:57Z,2014-12-20T02:44:03Z,2014-12-20T02:44:01Z,MEMBER,,0,pydata/xarray/pulls/296,,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/296/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 43442970,MDExOlB1bGxSZXF1ZXN0MjE1NjU3Mjg=,236,WIP: convert to/from cdms2 variables,1217238,closed,0,,836999,5,2014-09-22T08:48:52Z,2014-12-19T09:11:42Z,2014-12-19T09:11:39Z,MEMBER,,0,pydata/xarray/pulls/236,"Fixes #133 @DamienIrving am I missing anything obvious here? ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/236/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 52454780,MDExOlB1bGxSZXF1ZXN0MjYzNTUwMTQ=,295,Cleanup & bug fix,1217238,closed,0,,836999,0,2014-12-19T07:17:35Z,2014-12-19T07:21:33Z,2014-12-19T07:21:31Z,MEMBER,,0,pydata/xarray/pulls/295,"Fixes #279. ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/295/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 52444993,MDExOlB1bGxSZXF1ZXN0MjYzNDk2NDA=,294,Coerce arrays of datetime.datetime objects into datetime64,1217238,closed,0,,836999,0,2014-12-19T03:39:35Z,2014-12-19T05:27:51Z,2014-12-19T05:27:50Z,MEMBER,,0,pydata/xarray/pulls/294,"Fixes #136 Also includes some speedups for Variable construction ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/294/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 51780993,MDExOlB1bGxSZXF1ZXN0MjU5NTgxNjg=,292,Allow for pd.TimedeltaIndex and serialize it to netCDF,1217238,closed,0,,836999,0,2014-12-12T08:19:32Z,2014-12-12T09:41:03Z,2014-12-12T09:41:01Z,MEMBER,,0,pydata/xarray/pulls/292,"Fixes #55 ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/292/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 51526283,MDExOlB1bGxSZXF1ZXN0MjU4MDI4Nzc=,291,Support using dictionaries for labeled indexing,1217238,closed,0,,836999,0,2014-12-10T07:14:47Z,2014-12-11T22:28:26Z,2014-12-11T22:28:19Z,MEMBER,,0,pydata/xarray/pulls/291,"Fixes #187 As of this change, you can use dictionaries for indexing along a dimension, e.g., in the form `array.loc[dict(x='2000-01-01')]` or `array[dict(x=0)]`. In particular, you can use this for _assignment_, not just for selecting values (e.g., `array[dict(x=0)] = 0`). It was previously difficult to do assignment with labeled dimensions in xray. ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/291/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 51518241,MDExOlB1bGxSZXF1ZXN0MjU3OTg4NjE=,289,Faster path for Dataset/DataArray indexing,1217238,closed,0,,836999,0,2014-12-10T04:48:31Z,2014-12-10T04:53:17Z,2014-12-10T04:53:15Z,MEMBER,,0,pydata/xarray/pulls/289,"My benchmark shows this commit makes things about 35% faster for positional indexing. ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/289/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 51212447,MDExOlB1bGxSZXF1ZXN0MjU2MzAwMzY=,288,Add optional dependency on cyordereddict,1217238,closed,0,,836999,0,2014-12-07T09:15:35Z,2014-12-07T09:53:51Z,2014-12-07T09:53:49Z,MEMBER,,0,pydata/xarray/pulls/288,"This makes indexing a dataset (`ds['foo']`) about 30% faster in cases where `cyordereddict` is available. ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/288/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 51205753,MDExOlB1bGxSZXF1ZXN0MjU2Mjc1NTc=,287,Fixes for Dataset.to_dataframe(),1217238,closed,0,,836999,0,2014-12-07T03:24:55Z,2014-12-07T06:22:51Z,2014-12-07T06:22:47Z,MEMBER,,0,pydata/xarray/pulls/287,"Fixes #278 ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/287/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 50613204,MDExOlB1bGxSZXF1ZXN0MjUzMTk1Njc=,282,Serialize non-index coordinates to netCDF files,1217238,closed,0,,836999,0,2014-12-02T05:11:23Z,2014-12-07T02:44:14Z,2014-12-07T02:44:11Z,MEMBER,,0,pydata/xarray/pulls/282,"Fixes #231 This PR ensures non-index coordinates can be roundtripped to netCDF and back by using the CF convention of the 'coordinates' attribute on a ""data variable"". In cases where there are no data variables available, we fall back to the (extended, non-CF) convention of saving 'coordinates' as a global attribute. I also added the `xray.decode_cf` function to the API. This function can decode either datasets or datastores into decoded datasets, which is handy, for example, if a dataset is serialized according to CF conventions but already in memory (e.g., saved in JSON). @akleeman: I could use some guidance from you on want to do about `test_roundtrip_coordinates` on `TestCFEncodedDataStore`. I am tentatively skipping it, but it would be nice to get it working. To do so will require some tweaks to the API for the `Datastore.load` method. ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/282/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 51059629,MDExOlB1bGxSZXF1ZXN0MjU1NDc1ODY=,285,Fix to_netcdf with 0d sting variables,1217238,closed,0,,836999,0,2014-12-05T03:29:54Z,2014-12-05T03:57:18Z,2014-12-05T03:57:16Z,MEMBER,,0,pydata/xarray/pulls/285,"Fixes #284 ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/285/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 47220369,MDExOlB1bGxSZXF1ZXN0MjM1NzUyMjM=,271,Add backends integration test for roundtripping datetime arrays,1217238,closed,0,,836999,0,2014-10-30T00:19:58Z,2014-10-30T02:32:23Z,2014-10-30T02:32:21Z,MEMBER,,0,pydata/xarray/pulls/271,"Not sure how we missed this before. Also includes a fix for writing datetime arrays with missing values. ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/271/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 47195566,MDExOlB1bGxSZXF1ZXN0MjM1NTk1NjE=,270,Fix guess_time_units if NaT is present,1217238,closed,0,,836999,0,2014-10-29T19:54:05Z,2014-10-29T20:09:18Z,2014-10-29T20:07:02Z,MEMBER,,0,pydata/xarray/pulls/270,,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/270/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 46994302,MDExOlB1bGxSZXF1ZXN0MjM0MzY5NzM=,269,Fixes for dtype casting,1217238,closed,0,,836999,0,2014-10-28T06:37:55Z,2014-10-28T06:47:50Z,2014-10-28T06:47:38Z,MEMBER,,0,pydata/xarray/pulls/269,"Fixes #264 Fixes #259 (casting of masked arrays) ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/269/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull