issue_comments: 426646669

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/2459#issuecomment-426646669 https://api.github.com/repos/pydata/xarray/issues/2459 426646669 MDEyOklzc3VlQ29tbWVudDQyNjY0NjY2OQ== 5635139 2018-10-03T13:55:40Z 2018-10-03T16:13:41Z MEMBER

My working hypothesis is that pandas has a set of fast routines in C, such that it can stack without reindexing to the full index. The routines only work in 1-2 dimensions.

So without some hackery (i.e. converting multi-dimensional arrays to pandas' size and back), the current implementation is reasonable*. Next step would be to write our own routines that can operate on multiple dimensions (numbagg!).

Is that consistent with others' views, particularly those who know this area well?

'* one small fix that would improve performance of series.to_xarray() only, is the comment above. Lmk if you think worth making that change

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   365973662