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/779#issuecomment-191114669,https://api.github.com/repos/pydata/xarray/issues/779,191114669,MDEyOklzc3VlQ29tbWVudDE5MTExNDY2OQ==,10050469,2016-03-02T07:48:04Z,2016-03-02T07:48:04Z,MEMBER,"I tend to agree with @shoyer that mosaic plots are probably a quite unusual way to represent DataArrays (but I can only speak for me). 

Since the actual mosaic plot is done by statsmodels you should probably propose your suggestions for melioration [there](https://github.com/statsmodels/statsmodels/blob/master/statsmodels/graphics/mosaicplot.py)?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,137517563
https://github.com/pydata/xarray/issues/779#issuecomment-191018889,https://api.github.com/repos/pydata/xarray/issues/779,191018889,MDEyOklzc3VlQ29tbWVudDE5MTAxODg4OQ==,1217238,2016-03-02T02:07:57Z,2016-03-02T02:07:57Z,MEMBER,"Interesting -- I haven't encountered mosaic plots before. If it's as simple as writing `mosaic(data.to_series())` or `data.to_series().pipe(mosaic)`, then I would lean against including this in xarray's API, if only because the wrapper wouldn't do very much, and mosaic plotting is (I suspect) a relatively rare operation for most analyses.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,137517563