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/2175#issuecomment-510944043,https://api.github.com/repos/pydata/xarray/issues/2175,510944043,MDEyOklzc3VlQ29tbWVudDUxMDk0NDA0Mw==,35968931,2019-07-12T16:10:23Z,2019-07-12T16:10:23Z,MEMBER,"> I gave it up as it was too hard for me to create 3D figures with LaTex

There is a 3dtikz package I think?

Is this issue now superceded by the [discussion going on in #1820](https://github.com/pydata/xarray/pull/1820#issuecomment-509646268)?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,325661581
https://github.com/pydata/xarray/issues/2175#issuecomment-391386909,https://api.github.com/repos/pydata/xarray/issues/2175,391386909,MDEyOklzc3VlQ29tbWVudDM5MTM4NjkwOQ==,2443309,2018-05-23T15:19:18Z,2018-05-23T15:19:18Z,MEMBER,"I think this logo is generated using Latex ([source](https://github.com/pydata/xarray/blob/master/doc/_static/dataset-diagram-logo.tex)). 

I do think it would be cool if we could visualize the dimensionality/composition of xarray datasets with some sort of `ds.visualize()` method. How would one go about doing this though? How would you handle higher dimension datasets?","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,325661581