html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/pull/618#issuecomment-147512127,https://api.github.com/repos/pydata/xarray/issues/618,147512127,MDEyOklzc3VlQ29tbWVudDE0NzUxMjEyNw==,2443309,2015-10-12T20:32:42Z,2015-10-12T20:32:42Z,MEMBER,"Okay - that worked.  I think we're good with numpy 1.10 here.  There is still one failing test related to pandas/numpy.  This may be more of a travis thing.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,110806123
https://github.com/pydata/xarray/pull/618#issuecomment-147490424,https://api.github.com/repos/pydata/xarray/issues/618,147490424,MDEyOklzc3VlQ29tbWVudDE0NzQ5MDQyNA==,2443309,2015-10-12T18:53:47Z,2015-10-12T18:53:47Z,MEMBER,"ugh indeed.  I'll figure out how to coerce the datetime64 object into something that works for now.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,110806123
https://github.com/pydata/xarray/pull/618#issuecomment-147142725,https://api.github.com/repos/pydata/xarray/issues/618,147142725,MDEyOklzc3VlQ29tbWVudDE0NzE0MjcyNQ==,2443309,2015-10-11T01:08:01Z,2015-10-11T01:08:01Z,MEMBER,"I'm actually going to paste the traceback from one of the test results (using `py.test`) to show how nonsensical this is:

```
=========================================================================================================== FAILURES ============================================================================================================
_____________________________________________________________________________________________ TestVariable.test_index_0d_not_a_time _____________________________________________________________________________________________

self = <xray.test.test_variable.TestVariable testMethod=test_index_0d_not_a_time>

    def test_index_0d_not_a_time(self):
        d = np.datetime64('NaT')
        x = self.cls(['x'], [d])
        # Wasn't able to figure out why this was failing.
        # AssertionError: numpy.datetime64('NaT') != numpy.datetime64('NaT')
>       self.assertIndexedLikeNDArray(x, d, None)

xray/test/test_variable.py:115: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
xray/test/test_variable.py:61: in assertIndexedLikeNDArray
    self.assertEqual(variable.values[0], expected_value0)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xray.test.test_variable.TestVariable testMethod=test_index_0d_not_a_time>, a1 = numpy.datetime64('NaT'), a2 = numpy.datetime64('NaT')

    def assertEqual(self, a1, a2):
>       assert a1 == a2 or (a1 != a1 and a2 != a2)
E       AssertionError: assert (numpy.datetime64('NaT') == numpy.datetime64('NaT') or (numpy.datetime64('NaT') != numpy.datetime64('NaT')))

xray/test/__init__.py:154: AssertionError
```

I don't get how neither of these are true:

```
(numpy.datetime64('NaT') == numpy.datetime64('NaT') or\
 (numpy.datetime64('NaT') != numpy.datetime64('NaT')))
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,110806123
https://github.com/pydata/xarray/pull/618#issuecomment-147142509,https://api.github.com/repos/pydata/xarray/issues/618,147142509,MDEyOklzc3VlQ29tbWVudDE0NzE0MjUwOQ==,2443309,2015-10-11T00:59:04Z,2015-10-11T00:59:04Z,MEMBER,"> Previously, NaT == NaT was true. Now it's false, like how NaN works.

@shoyer - I don't think this is true.  

``` Python
In [9]: import numpy as np

In [10]: t = np.datetime64('NaT')

In [11]: t == t
Out[11]: True

In [12]: n = np.nan

In [13]: n == n
Out[13]: False

In [14]: np.__version__
Out[14]: '1.10.0'
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,110806123
https://github.com/pydata/xarray/pull/618#issuecomment-147130696,https://api.github.com/repos/pydata/xarray/issues/618,147130696,MDEyOklzc3VlQ29tbWVudDE0NzEzMDY5Ng==,2443309,2015-10-10T22:30:22Z,2015-10-10T22:30:22Z,MEMBER,"I'll figure out something to do with the NaT comparison.

I think we're okay on Travis.  We just have one failing test.  

As for the verbosity of the numpy warnings. It is now just showing up in a lot more places (https://travis-ci.org/xray/xray/jobs/84683346#L665-L702).  It seems like matplotlib and numpy itself haven't dealt with the warnings on their end yet.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,110806123