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/1482#issuecomment-320891992,https://api.github.com/repos/pydata/xarray/issues/1482,320891992,MDEyOklzc3VlQ29tbWVudDMyMDg5MTk5Mg==,585279,2017-08-08T08:44:36Z,2017-08-08T08:44:36Z,NONE,"> then what advantage is there (aside from convenience) of dumping them in some giant array with forced dimensions/shape per slice?

I was mostly thinking of using xarray as a basic data format for reusable code. So if I build ML pipelines using reusable components, I have to pass data around. And so initially data might be in jagged arrays and then with various preprocessing before training model, I can get it to be in a more suitable format where images are of the same size so that I can try easier. I hoped I could use the same format for all of these places where I need to pass data around.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,243964948
https://github.com/pydata/xarray/issues/1482#issuecomment-316372189,https://api.github.com/repos/pydata/xarray/issues/1482,316372189,MDEyOklzc3VlQ29tbWVudDMxNjM3MjE4OQ==,585279,2017-07-19T12:37:43Z,2017-07-19T12:37:43Z,NONE,"Hm, padding might use a lot of extra space, no?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,243964948
https://github.com/pydata/xarray/issues/1482#issuecomment-316323858,https://api.github.com/repos/pydata/xarray/issues/1482,316323858,MDEyOklzc3VlQ29tbWVudDMxNjMyMzg1OA==,585279,2017-07-19T09:15:00Z,2017-07-19T09:15:00Z,NONE,">  If you want to store them all in a Dataset, you'll have to give a different dimension name for each new dimension, which can be clumsy.

But I cannot combine multiple dimensions into same Variable, no? So if I have a dataset of multiple variables, each variable seems that it has to have uniform dimensions for all its values? Maybe I am misunderstanding dimensions concept.

> What kind of ""support"" exactly were you thinking of?

Maybe examples how to create such jagged dataset? For example, how to have a variable which stores 2D images of different sizes.

If I understand correctly, I could batch all images of the same size into its own dimension? That might be also acceptable.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,243964948