issue_comments: 320891992

This data as json

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