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
326834855,MDExOlB1bGxSZXF1ZXN0MTkwNzk4NTYw,2189,docs: add xyzpy to projects,8982598,closed,0,,,1,2018-05-27T17:38:44Z,2018-05-27T20:46:07Z,2018-05-27T20:45:38Z,CONTRIBUTOR,,0,pydata/xarray/pulls/2189,Justs adds [xyzpy](http://xyzpy.readthedocs.io) to the list of projects utilizing ``xarray``.,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2189/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
174404136,MDExOlB1bGxSZXF1ZXN0ODM1NDgwNzU=,996,add 'no_conflicts' as compat option for merging non-conflicting data,8982598,closed,0,,,8,2016-08-31T23:38:00Z,2016-09-15T16:07:16Z,2016-09-15T16:07:16Z,CONTRIBUTOR,,0,pydata/xarray/pulls/996,"This solves #742 and partially #835 (does not address a combine_first option yet). It essentially adds a notnull_equals method to Variable (and currently DataArray/set) that merge can use to compare objects, subsequently combining them with 'fillna'. Used as such:

``` python
>>> import xarray as xr
>>> ds1 = xr.Dataset(data_vars={'x': ('a', [1, 2])})
>>> ds2 = xr.Dataset(data_vars={'x': ('a', [2, 3])}, coords={'a': [1, 2]})
>>> xr.merge([ds1, ds2], compat='notnull_equals')
<xarray.Dataset>
Dimensions:  (a: 3)
Coordinates:
  * a        (a) int64 0 1 2
Data variables:
    x        (a) float64 1.0 2.0 3.0
```

Should be very easy to add other merging options such as overwriting left to write and vice versa. 
## TODO
- docs
- tests for various type combinations
- some of the error excepting is mirrored from `equals` and might not be necessary (e.g. for numpy structured arrays).
## ISSUES
- It seemed natural to add notnull_equals as a method to Dataset, but it might be unnecessary/not useful. Current version is conservative in that it still requires aligned Datasets with all the same variables.
- Due to the float nature of NaN, type is sometimes not preserved, e.g. merging two int arrays yields a float array, even when the final array has no NaN values itself.
- float rounding errors can cause unintended failures, so a notnull_allclose option might be nice.

Currently all tests passing (6 new), and no flake8 errors on the diff...
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