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/issues/754#issuecomment-220462553,https://api.github.com/repos/pydata/xarray/issues/754,220462553,MDEyOklzc3VlQ29tbWVudDIyMDQ2MjU1Mw==,10050469,2016-05-19T21:51:46Z,2016-05-19T21:51:46Z,MEMBER,"I'd be willing to prepare a PR, if this is still actual. Today I needed the *AllClose methods for my tests, I think it would be great to have these methods exposed.

I think I have an idea on how to proceed, but maybe I am underestimating the required amount of work.

Numpy for example has the `np.allclose` and `np.testing.assert_allclose` functions. Should xarray also have a `xr.allclose` function or are we happy with a `xr.testing.assert_allclose` alone? Also, the current xarray implementation has a different function for variables, datasets and coordinates: could these be merged in a generic `assert_allclose` which takes decisions on what to do based on the input type?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,132536288
https://github.com/pydata/xarray/issues/754#issuecomment-205062093,https://api.github.com/repos/pydata/xarray/issues/754,205062093,MDEyOklzc3VlQ29tbWVudDIwNTA2MjA5Mw==,6200806,2016-04-03T21:59:39Z,2016-04-03T21:59:39Z,CONTRIBUTOR,"Thanks for the ping.  Sorry, I haven't.  I'm actually submitting my PhD thesis in ~2 months and then defending it this summer, so I won't be able to help much until August or September.  So by all means, go for it.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,132536288
https://github.com/pydata/xarray/issues/754#issuecomment-204460257,https://api.github.com/repos/pydata/xarray/issues/754,204460257,MDEyOklzc3VlQ29tbWVudDIwNDQ2MDI1Nw==,2443309,2016-04-01T16:29:22Z,2016-04-01T16:29:22Z,MEMBER,"@spencerahill - have you made any progress here?  If not we (@dgergel) may be able to help out.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,132536288
https://github.com/pydata/xarray/issues/754#issuecomment-182508961,https://api.github.com/repos/pydata/xarray/issues/754,182508961,MDEyOklzc3VlQ29tbWVudDE4MjUwODk2MQ==,6200806,2016-02-10T18:12:13Z,2016-02-10T18:12:13Z,CONTRIBUTOR,"Indeed.  I'm happy to do this sometime (eventually...), but if somebody ends up with a pressing need for this in the meantime, go for it.  Thanks!
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,132536288
https://github.com/pydata/xarray/issues/754#issuecomment-182497635,https://api.github.com/repos/pydata/xarray/issues/754,182497635,MDEyOklzc3VlQ29tbWVudDE4MjQ5NzYzNQ==,1217238,2016-02-10T17:42:47Z,2016-02-10T17:42:47Z,MEMBER,"Most of these are as simple as `assert d1.identical(d2)` or `assert d1.equals(d2)` (see [here](http://xarray.pydata.org/en/stable/combining.html#equals-and-identical) for more details on these methods). I'd be OK with adding these methods in a dedicated testing module, though.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,132536288
https://github.com/pydata/xarray/issues/754#issuecomment-182083400,https://api.github.com/repos/pydata/xarray/issues/754,182083400,MDEyOklzc3VlQ29tbWVudDE4MjA4MzQwMA==,2443309,2016-02-09T21:33:11Z,2016-02-09T21:33:11Z,MEMBER,":+1: 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,132536288