id,node_id,number,state,locked,title,user,body,created_at,updated_at,closed_at,merged_at,merge_commit_sha,assignee,milestone,draft,head,base,author_association,auto_merge,repo,url,merged_by
10275318,MDExOlB1bGxSZXF1ZXN0MTAyNzUzMTg=,2,closed,0,Data objects now have a swappable backend store.,514053,"- Allows conversion to and from: NetCDF4, scipy.io.netcdf and in
  memory storage.
- Added general test cases, and cases for specific backend stores.
",2013-11-25T20:48:40Z,2016-12-29T02:39:48Z,2014-01-29T19:20:58Z,,5d8e6998d42efa29b62346b0b41b8a6eac27fb47,,,0,073f52281d55e4ed8c1999fcdcff7d4dba54cd76,eb971ee40161350e79e034cad5d1d9933b78f78d,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/2,
12005789,MDExOlB1bGxSZXF1ZXN0MTIwMDU3ODk=,8,closed,0,Datasets now use data stores to allow swap-able backends,514053,"```
Data objects now have a swap-able backend store.

- Allows conversion to and from: NetCDF4, scipy.io.netcdf and in
  memory storage.
- Added general test cases, and cases for specific backend stores.
- Dataset.translate() can now optionally copy the object.
- Fixed most unit tests, test_translate_consistency still fails.
```
",2014-01-29T19:25:42Z,2014-06-17T00:35:01Z,2014-01-29T19:30:09Z,2014-01-29T19:30:09Z,1f7bf07ce664cd4d1915956a459312bce9ef8505,,,0,58551773afcefb0cb32d24ced95602e6fc35b360,6b77d820851d9d9f6d4196c222d8ea75cdf26193,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/8,
12941602,MDExOlB1bGxSZXF1ZXN0MTI5NDE2MDI=,21,closed,0,Cf time units persist,514053,"Internally Datasets convert time coordinates to pandas.DatetimeIndex.  The backend function convert_to_cf_variable will convert these datetimes back to CF style times, but the original units were not being preserved.
",2014-02-26T08:05:41Z,2014-06-12T17:29:24Z,2014-02-28T01:45:21Z,,9b89321f4c39477abb64d09f7c3b238c6ff1c1ee,,,0,9b403acf84e38418d820b4dd658c865503e3076f,6167e0f3f8617534be0fcf43b9618bd82d431ef4,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/21,
13103084,MDExOlB1bGxSZXF1ZXN0MTMxMDMwODQ=,40,closed,0,Encodings for object data types are not saved.,514053,"decode_cf_variable will not save encoding for any 'object' dtypes.

When encoding cf variables check if dtype is np.datetime64 as well as DatetimeIndex.

fixes akleeman/xray/issues/39
",2014-03-03T07:22:37Z,2014-04-09T04:10:56Z,2014-03-07T02:21:16Z,,7daf9d244f727247dd49a11171d3902ebbd5ef43,,,0,34b65e1af60b1740dd825b47ff80a0e50d0ade64,08a03b3c3a864ae0743623c67c66f72da8422d79,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/40,
13175676,MDExOlB1bGxSZXF1ZXN0MTMxNzU2NzY=,46,closed,0,Test lazy loading from stores using mock XArray classes.,514053,,2014-03-04T18:50:40Z,2014-03-04T23:24:52Z,2014-03-04T23:10:28Z,2014-03-04T23:10:28Z,744cc1dfd2eb641e1677b93991de2fa15fa12b87,,,0,c002324efb2d1966ad33c21d960f3bfd6dabff90,63ea8c5f7a1792a086e85604b4f267684f299dd4,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/46,
14074398,MDExOlB1bGxSZXF1ZXN0MTQwNzQzOTg=,84,closed,0,Fix: dataset_repr was failing on empty datasets.,514053,"BUG: dataset_repr was failing on empty datasets.
",2014-03-27T18:29:18Z,2014-03-27T20:09:45Z,2014-03-27T20:05:49Z,2014-03-27T20:05:49Z,93e318a319e9ab6f5e1a8fa1e118131647709df6,,,0,68d5e7a0c7b35b9add4ecb6717036f7204118a93,648ce64176410ff0fb397ea7b0c13b41ae588183,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/84,
14081129,MDExOlB1bGxSZXF1ZXN0MTQwODExMjk=,86,closed,0,BUG: Zero dimensional variables couldn't be written to file or serialized.,514053,"Fixed a bug in which writes would fail if Datasets contained 0d variables.

Also added the ability to open Datasets directly from NetCDF3 bytestrings.
",2014-03-27T20:42:06Z,2014-06-12T17:29:11Z,2014-03-28T03:58:43Z,2014-03-28T03:58:43Z,6e5ba34ac1e034a6c1aea276231548850994e21e,,,0,59acec9e9ee1def7df6bd570c110759a3760e7cb,f41f7f0d2937239e695bcdadc697ca688c62bf67,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/86,
14744392,MDExOlB1bGxSZXF1ZXN0MTQ3NDQzOTI=,102,closed,0,Dataset.concat() can now automatically concat over non-equal variables.,514053,"concat_over=True indicates that concat should concat over all variables
that are not the same in the set of datasets that are to be concatenated.
",2014-04-14T22:19:02Z,2014-06-12T17:33:49Z,2014-04-23T03:24:45Z,2014-04-23T03:24:45Z,881122397cf3728b58856cca2986078bfa49c038,,,0,b9635a53136126980080f4ff80e213c936a3c1e0,4713be2beef8c02818089da7c4d343669b59ff1b,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/102,
15767015,MDExOlB1bGxSZXF1ZXN0MTU3NjcwMTU=,125,closed,0,Only copy datetime64 data if it is using non-nanosecond precision.,514053,"In an attempt to coerce all datetime arrays to nano second resolutoin utils.as_safe_array() was creating copies of any datetime64 array (via the astype method).  This was causing unexpected behavior (bugs) for things such as concatenation over times. (see below).

```
import xray
import pandas as pd

ds = xray.Dataset()
ds['time'] = ('time', pd.date_range('2011-09-01', '2011-09-11'))
times = [ds.indexed(time=[i]) for i in range(10)]
ret = xray.Dataset.concat(times, 'time')
print ret['time']

<xray.DataArray 'time' (time: 10)>
array(['1970-01-02T07:04:40.718526408-0800',
       '1969-12-31T16:00:00.099966608-0800',
       '1969-12-31T16:00:00.041748384-0800',
       '1969-12-31T16:00:00.041748360-0800',
       '1969-12-31T16:00:00.041748336-0800',
       '1969-12-31T16:00:00.041748312-0800',
       '1969-12-31T16:00:00.041748288-0800',
       '1969-12-31T16:00:00.041748264-0800',
       '1969-12-31T16:00:00.041748240-0800',
       '1969-12-31T16:00:00.041748216-0800'], dtype='datetime64[ns]')
Attributes:
    Empty
```
",2014-05-12T13:36:22Z,2014-05-20T19:09:40Z,2014-05-20T19:09:40Z,,e255f9e632bd646190ba6433599ccea7e122cc7f,,,0,d09708a119d8ca90298673ecd982414017ef53de,8f667bef6e190764cdd801fc857f94f23c8a36c2,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/125,
16535481,MDExOlB1bGxSZXF1ZXN0MTY1MzU0ODE=,143,closed,0,Fix decoded_cf_variable was not working.,514053,"Small bug fix, and a test.
",2014-05-30T14:27:13Z,2014-06-12T09:39:20Z,2014-06-12T09:39:20Z,,b77a8173175acc504ccf1203576b7be4b111da6e,,,0,1ebd3a5df08605410d716a002de4e72072dbd7e8,71137d1e50116e5cca63d9b1c169844b5737cec2,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/143,
16896623,MDExOlB1bGxSZXF1ZXN0MTY4OTY2MjM=,150,closed,0,Fix DecodedCFDatetimeArray was being incorrectly indexed.,514053,"This was causing an error in the following situation:

```
ds = xray.Dataset()
ds['time'] = ('time', [np.datetime64('2001-05-01') for i in range(5)])
ds['variable'] = ('time', np.arange(5.))
ds.to_netcdf('test.nc')
ds = xray.open_dataset('./test.nc')
ss = ds.indexed(time=slice(0, 2))
ss.dumps()
```

Thanks @shoyer for the fix.
",2014-06-09T17:25:05Z,2014-06-09T17:43:50Z,2014-06-09T17:43:50Z,2014-06-09T17:43:50Z,2ec8b7127f0d27683cb6d32da859a62e00ded6b9,,650893,0,095e7070342a01ce5ee06a4cabd55087ad80395d,3af0e34b90b8ec5436047419ad3ed2402ad5ff24,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/150,
17045729,MDExOlB1bGxSZXF1ZXN0MTcwNDU3Mjk=,153,closed,0,Fix decode_cf_variable.,514053,"decode_cf_variable was still using da.data instead of da.values.

It now also works with DataArray as input.
",2014-06-12T09:42:47Z,2014-06-12T23:33:46Z,2014-06-12T23:33:46Z,,05f01af1d6dffe8e3f23024e56d75806e5979fe5,,,0,16f17204f3d16485bdba1e1988a17bd6ab570502,606f388df0173c81feddd595a6af8e0ac986e830,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/153,
17082367,MDExOlB1bGxSZXF1ZXN0MTcwODIzNjc=,154,closed,0,"Fix decode_cf_variable, without tests",514053,"same as #153, but without tests.
",2014-06-12T21:56:10Z,2014-06-12T23:30:15Z,2014-06-12T23:30:15Z,2014-06-12T23:30:15Z,ce73ec55da14eb79c986058bf34d766c8142037d,,,0,dffb5ecac0188baae98e87d7a926db22dd723960,606f388df0173c81feddd595a6af8e0ac986e830,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/154,
17582684,MDExOlB1bGxSZXF1ZXN0MTc1ODI2ODQ=,175,closed,0,Modular encoding,514053,"Restructured Backends to make CF conventions handling consistent.

Among other things this includes:
- EncodedDataStores which can wrap other stores and allow
  for modular encoding/decoding.
- Trivial indices ds['x'] = ('x', np.arange(10)) are no longer
  stored on disk and are only created when accessed.
- AbstractDataStore API change.  Shouldn't effect external users.
- missing_value attributes now function like _FillValue

All current tests are passing (though it could use more new ones).
",2014-06-25T10:37:41Z,2014-10-08T20:44:15Z,2014-10-08T20:44:15Z,,676a05aaa20fc74957bd029616ab21fb5b7c74e7,,,0,134d5ba9f6b44cb4298b374e91ce7da6a19fd8dc,7e0e7b1f2b3663c9fddb7b9f1767e4e7f744d19c,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/175,
22450470,MDExOlB1bGxSZXF1ZXN0MjI0NTA0NzA=,248,closed,0,Removed the object oriented encoding/decoding scheme,514053,"Removed the object oriented encoding/decoding scheme in favor of
a model where encoding/decoding happens when a dataset is
stored to/ loaded from a DataStore.

Conventions can now be enforced at the DataStore level by
overwriting the Datastore.store() and Datastore.load() methods, or
as an optional arg to Dataset.load_store, Dataset.dump_to_store.

Includes miscellaneous cleanup.
",2014-10-08T20:06:33Z,2014-10-08T20:12:56Z,2014-10-08T20:12:56Z,2014-10-08T20:12:56Z,92d2dcac92d2b121b29da6d68d01eaf12805853e,,,0,c2e46d3b216d6da143c8f3c066e0ea000dff6ad8,c185df55d9ccfdb62915c362a09bd724a73de2d4,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/248,
27392995,MDExOlB1bGxSZXF1ZXN0MjczOTI5OTU=,310,closed,0,More robust CF datetime unit parsing,514053,"This makes it possible to read datasets that don't follow CF datetime conventions perfectly, such as the following example which (surprisingly) comes from NCEP/NCAR (you'd think they would follow CF!)

```
ds = xray.open_dataset('http://thredds.ucar.edu/thredds/dodsC/grib/NCEP/GEFS/Global_1p0deg_Ensemble/members/GEFS_Global_1p0deg_Ensemble_20150114_1200.grib2/GC')
print ds['time'].encoding['units']

u'Hour since 2015-01-14T12:00:00Z'
```
",2015-01-14T23:19:07Z,2015-01-14T23:36:34Z,2015-01-14T23:35:27Z,2015-01-14T23:35:27Z,96f2c394961b37f6e1238539bb254259c543b8ff,1217238,799013,0,d5115cb1947b0679cc9998665a71f5d85e260623,4a4be4ace8f42dbc7c4ab016ab58a46812b37ad1,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/310,
29864970,MDExOlB1bGxSZXF1ZXN0Mjk4NjQ5NzA=,334,closed,0,Fix bug associated with reading / writing of mixed endian data.,514053,"The right solution to this is to figure out how to successfully round trip endian-ness, but that seems to be a deeper issue inside netCDF4 (https://github.com/Unidata/netcdf4-python/issues/346)

Instead we force all data to little endian before netCDF4 write.
",2015-02-24T01:57:43Z,2015-02-26T04:45:18Z,2015-02-26T04:45:18Z,,8634487c2196fc84708be8e49ce59213c7623dfc,,799013,0,b2bec2f7a6e02b3994a8da47aa4845810baaf136,400317e9afbbfafacb3aea4ffd70e8790c936ee6,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/334,
30427125,MDExOlB1bGxSZXF1ZXN0MzA0MjcxMjU=,359,closed,0,Raise informative exception when _FillValue and missing_value disagree,514053,"Previously conflicting _FillValue and missing_value only raised an AssertionError, now it's more informative.
",2015-03-04T00:22:41Z,2015-03-12T16:33:47Z,2015-03-12T16:32:07Z,2015-03-12T16:32:07Z,f1dbff3d12aa2f67c70a210651c31a37b60d838b,,1004936,0,ec35efd763419f71fcb81a91a70251e55146f0e9,7187bb9af9b2fffedb931dcaa3766b58e769a13e,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/359,