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/133#issuecomment-96085763,https://api.github.com/repos/pydata/xarray/issues/133,96085763,MDEyOklzc3VlQ29tbWVudDk2MDg1NzYz,1217238,2015-04-24T22:39:03Z,2015-04-24T22:39:03Z,MEMBER,"This is technically documented, but barely :)
http://xray.readthedocs.org/en/stable/generated/xray.DataArray.from_cdms2.html#xray.DataArray.from_cdms2
http://xray.readthedocs.org/en/stable/generated/xray.DataArray.to_cdms2.html#xray.DataArray.to_cdms2

See here for a minimal example of converting to a cdms2 variable:
https://github.com/xray/xray/blob/eed58d5cb4274f262e77277bc8fcf394a9fae77c/xray/test/test_dataarray.py#L1272
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,33639540
https://github.com/pydata/xarray/issues/133#issuecomment-95907852,https://api.github.com/repos/pydata/xarray/issues/133,95907852,MDEyOklzc3VlQ29tbWVudDk1OTA3ODUy,146527,2015-04-24T11:49:23Z,2015-04-24T11:49:23Z,NONE,"Sure..we will give it a try soon and report back. I guess what would help is some documentation and may be a blog. What you think? 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,33639540
https://github.com/pydata/xarray/issues/133#issuecomment-95721166,https://api.github.com/repos/pydata/xarray/issues/133,95721166,MDEyOklzc3VlQ29tbWVudDk1NzIxMTY2,1217238,2015-04-23T21:16:46Z,2015-04-23T21:16:46Z,MEMBER,"@aashish24 This has been in the last few xray releases -- I'd love to get some feedback on it, I don't think it's gotten much use yet (I don't use cdat).
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,33639540
https://github.com/pydata/xarray/issues/133#issuecomment-95714252,https://api.github.com/repos/pydata/xarray/issues/133,95714252,MDEyOklzc3VlQ29tbWVudDk1NzE0MjUy,146527,2015-04-23T20:45:56Z,2015-04-23T20:45:56Z,NONE,":+1: @DamienIrving others, let us know if you need any help! This is really awesome stuff. 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,33639540
https://github.com/pydata/xarray/issues/133#issuecomment-56313445,https://api.github.com/repos/pydata/xarray/issues/133,56313445,MDEyOklzc3VlQ29tbWVudDU2MzEzNDQ1,2062210,2014-09-21T21:29:11Z,2014-09-21T21:29:11Z,NONE,"Happy to test it out for you.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,33639540
https://github.com/pydata/xarray/issues/133#issuecomment-56310875,https://api.github.com/repos/pydata/xarray/issues/133,56310875,MDEyOklzc3VlQ29tbWVudDU2MzEwODc1,1217238,2014-09-21T20:08:13Z,2014-09-21T20:08:13Z,MEMBER,"OK, I just tested out that conda package and it does appear to work! That is great -- this will make it possible for me to get automated tests going (which is a prerequisite to adding new features).

I'm about to do a major release but I should be able to take a look at this shortly if you are willing to test it out. It looks like the basic interface _should_ be pretty straightforward.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,33639540
https://github.com/pydata/xarray/issues/133#issuecomment-56258103,https://api.github.com/repos/pydata/xarray/issues/133,56258103,MDEyOklzc3VlQ29tbWVudDU2MjU4MTAz,2062210,2014-09-20T06:05:19Z,2014-09-20T06:05:19Z,NONE,"@shoyer I love this suggested enhancement. If I could use xray and CDAT interchangeably, then I'd add xray into my workflow immediately (I'd image many other people would too, as CDAT has a fairly large user base).

The first thing I'd say is that you don't need to install all of [UV-CDAT](http://uvcdat.llnl.gov/) to get the useful modules. Instead, people have developed cdat-lite, which strips away all the visualisation stuff associated with UV-CDAT and just leaves the core convenience functions for calculating climatologies etc (i.e. it strips away the UV bit and just leaves the CDAT).

With the emergence of conda and binstar, it's now very easy to install cdat-lite with Anaconda. This page should be all you need: https://binstar.org/ajdawson/cdat-lite
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