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
38719512,MDExOlB1bGxSZXF1ZXN0Mzg3MTk1MTI=,446,closed,0,Preprocess argument for open_mfdataset and threading lock,1217238,"Fixes #443
Fixes #444
",2015-06-28T03:33:19Z,2015-07-02T17:16:41Z,2015-06-29T18:06:54Z,2015-06-29T18:06:54Z,cd861e1ba8d6a9c269bf946a232936199b90463b,,1172685,0,0816424dcc65c4aa191478c22b9ac41a6eb2a1f3,fedd28b75ed83a73132c13d462a47b0afea76d06,MEMBER,,13221727,https://github.com/pydata/xarray/pull/446,
39042887,MDExOlB1bGxSZXF1ZXN0MzkwNDI4ODc=,450,closed,0,Add xray.save_mfdataset,1217238,"This function allows for saving multiple datasets to disk simultaneously, which
is useful when processing large datasets with dask.array. For example, to save
a dataset too big to fit into memory to one file per year, we could write:

```
>>> years, datasets = zip(*ds.groupby('time.year'))
>>> paths = ['%s.nc' % y for y in years]
>>> xray.save_mfdataset(datasets, paths)
```
",2015-07-02T02:19:41Z,2015-07-06T18:41:27Z,2015-07-06T18:41:25Z,2015-07-06T18:41:25Z,2fe280c4214f5b93e233c2e6b0230e243cd02835,,1172685,0,699ca84cdf0ebbc774b4f129994bea3684f0902d,613b285ea72023d8c2ce950ac4020f30e17b692b,MEMBER,,13221727,https://github.com/pydata/xarray/pull/450,
39227908,MDExOlB1bGxSZXF1ZXN0MzkyMjc5MDg=,454,closed,0,Fixed bug in serializing datetime scalars,1217238,,2015-07-05T22:18:07Z,2015-07-06T04:56:53Z,2015-07-06T04:56:52Z,2015-07-06T04:56:52Z,c3267eb690e3f0de8164fbf2a2880e1c3fb97cde,,1172685,0,1876e7f7381c8d89bb6c5be5abd04c11c442dfe3,ffa8e692d72935579752903925936c8da00deab0,MEMBER,,13221727,https://github.com/pydata/xarray/pull/454,
39227912,MDExOlB1bGxSZXF1ZXN0MzkyMjc5MTI=,455,closed,0,Fix min/max for arrays with string or unicode types,1217238,"Fixes #453
",2015-07-05T22:18:31Z,2015-07-06T04:56:22Z,2015-07-06T04:56:20Z,2015-07-06T04:56:20Z,e6b17b95ade26c461ec09f551e2ccfb6e6e75496,,1172685,0,39c1f5e07d29ce70528e89db09a9a919631bd0c0,ffa8e692d72935579752903925936c8da00deab0,MEMBER,,13221727,https://github.com/pydata/xarray/pull/455,
39948630,MDExOlB1bGxSZXF1ZXN0Mzk5NDg2MzA=,472,closed,0,Add support for reading/writing complex numbers with h5netcdf,1217238,,2015-07-14T18:48:03Z,2015-07-14T20:24:06Z,2015-07-14T20:24:04Z,2015-07-14T20:24:04Z,174dcef8876eae0b635a1e12e1a1d180ecd62e5d,,1172685,0,05296c0a5a13b8c5e6e0eb7b127d1d6d78291ba6,470242120aab3fa51180e70c38fe5865a42c144e,MEMBER,,13221727,https://github.com/pydata/xarray/pull/472,
39983076,MDExOlB1bGxSZXF1ZXN0Mzk5ODMwNzY=,473,closed,0,Rewrite of xray.concat,1217238,"Fixes #464
Fixes #438

The optional arguments `concat_over` and `mode` in `xray.concat` have been
removed and replaced by `data_vars` and `coords`. The new arguments are
both more easily understood and more robustly implemented.
",2015-07-15T02:33:39Z,2015-07-15T21:47:14Z,2015-07-15T21:47:11Z,2015-07-15T21:47:11Z,2ef9cbe6e9c0c462142a6aa302ce44d0ce899f99,,1172685,0,e6f6cbd756e57d251de8ffb90853b85f82c540f4,0e77e5a86ffa2355f986ef165b5b6970411d5ef6,MEMBER,,13221727,https://github.com/pydata/xarray/pull/473,
40078364,MDExOlB1bGxSZXF1ZXN0NDAwNzgzNjQ=,477,closed,0,Bytes attributes are decoded to strings with engine='h5netcdf',1217238,"Fixes #451
",2015-07-15T22:49:03Z,2015-07-16T18:11:42Z,2015-07-16T18:11:42Z,2015-07-16T18:11:42Z,e3ede44de51342e3678c000843a89eea508f10d1,,1172685,0,71c30f71c7e8cedbbfa9a384130f3220b9bbe9ee,7c9a2fe27794a9761319daa4dc90a7e4e19c795e,MEMBER,,13221727,https://github.com/pydata/xarray/pull/477,
40177264,MDExOlB1bGxSZXF1ZXN0NDAxNzcyNjQ=,478,closed,0,Xray v0.5.2 updates,1217238,"Fixes #444
",2015-07-16T21:19:14Z,2015-07-16T21:40:23Z,2015-07-16T21:40:22Z,2015-07-16T21:40:22Z,5a5255e43c6c79827ead12abee2dc813bc956307,,1172685,0,06941b00e763c773c112543d1d8b3fb4bbbd559f,222cff8a4e742cef1d9ff103c99e15855a1bc7c4,MEMBER,,13221727,https://github.com/pydata/xarray/pull/478,