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/185#issuecomment-132307937,https://api.github.com/repos/pydata/xarray/issues/185,132307937,MDEyOklzc3VlQ29tbWVudDEzMjMwNzkzNw==,5356122,2015-08-18T18:25:39Z,2015-08-18T18:25:39Z,MEMBER,"Closed by #466 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,38109425
https://github.com/pydata/xarray/issues/185#issuecomment-120210790,https://api.github.com/repos/pydata/xarray/issues/185,120210790,MDEyOklzc3VlQ29tbWVudDEyMDIxMDc5MA==,5356122,2015-07-10T03:13:32Z,2015-07-10T03:13:32Z,MEMBER,"@shoyer good point- I hadn't yet considered that.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,38109425
https://github.com/pydata/xarray/issues/185#issuecomment-120102545,https://api.github.com/repos/pydata/xarray/issues/185,120102545,MDEyOklzc3VlQ29tbWVudDEyMDEwMjU0NQ==,5356122,2015-07-09T18:45:19Z,2015-07-09T18:45:19Z,MEMBER,"@nbren12 Thanks for the input! I'll add a link to that library in the docs.

By the way, development is happening on this branch now: https://github.com/xray/xray/tree/feature-plotting
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,38109425
https://github.com/pydata/xarray/issues/185#issuecomment-115031906,https://api.github.com/repos/pydata/xarray/issues/185,115031906,MDEyOklzc3VlQ29tbWVudDExNTAzMTkwNg==,5356122,2015-06-24T22:30:09Z,2015-06-24T22:30:09Z,MEMBER,"Starting on this now. Some more relevant notes:

xray + matplotlib
Wrap matplotlib using xray metadata
wrap matplotlib methods directly but label axes with xray metadata automatically.  Just like pandas plot method. Ideally, this should use plot submethods like x.plot.contourf() or x.plot_contourf(), similar to plans for pandas.

Grid 2D images easily
Given a 3D DataArray, ""group by"" one dimension on which to show the remaining 2D image for each tick.  These images can simply be wrapped, as in ggplot's facet_wrap.

lower priority: given an nd DataArray, facet_grid on multiple dimensions, showing 2D images on each.

For API inspiration, consider seaborn’s FacetGrid.
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