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
269182902,MDExOlB1bGxSZXF1ZXN0MTQ5MjQ2NDQ5,1664,BUG: Added new names for pandas isna/notna unary functions,500246,closed,0,,,1,2017-10-27T17:38:54Z,2017-11-09T02:47:21Z,2017-11-09T02:47:21Z,CONTRIBUTOR,,0,pydata/xarray/pulls/1664,"In pandas commit
https://github.com/pandas-dev/pandas/commit/793020293ee1e5fa023f45c12943a4ac51cc23d
isna and notna were added as aliases for isnull and notnull.  Those need
to be added to PANDAS_UNARY_FUNCTIONS for xarray datasets notnull to work.
Closes #1663.

 - [ ] Closes #1663 

Note: I'm not sure how to test for this, as I think existing tests should be already failing due to this.  In fact, when I run `nosetests` on my system I get 123 skips, 29 errors and 2 failures, none of which are related to my addition, so there must be something wrong on my system.

I did not try the flake8 test and I think new documentation is exaggerated in this case.
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204090452,MDExOlB1bGxSZXF1ZXN0MTAzNzkyMDAz,1241,BUG: Add mixing dimension name to error message,500246,closed,0,,,1,2017-01-30T18:24:52Z,2017-01-30T18:40:27Z,2017-01-30T18:40:27Z,CONTRIBUTOR,,0,pydata/xarray/pulls/1241,"Bugfix: error message for `KeyError` has spurious `%r`, into which the dimension name is apparently intended to be substituted, but wasn't.  Substitute the dimension name so that the error message is more informative.
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/1241/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
200131742,MDExOlB1bGxSZXF1ZXN0MTAxMDkzNjEy,1200,DOC: fix small typo/mistake (NaN value not dtype),500246,closed,0,,,1,2017-01-11T15:57:15Z,2017-01-11T17:11:04Z,2017-01-11T17:11:01Z,CONTRIBUTOR,,0,pydata/xarray/pulls/1200,"Fix small mistake in documentation.  It said NaN is not a valid dtype for integer dtypes, this surely should be NaN is not a valid value for integer dtypes.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/1200/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull