issue_comments: 514877824

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/525#issuecomment-514877824 https://api.github.com/repos/pydata/xarray/issues/525 514877824 MDEyOklzc3VlQ29tbWVudDUxNDg3NzgyNA== 3460034 2019-07-25T03:11:20Z 2019-07-25T03:11:20Z CONTRIBUTOR

Thank you for the insight!

So if I'm understanding things correctly as they stand now, dimension coordinates store their values internally as a pandas.Index, which would mean, to implement this directly, this becomes an upstream issue in pandas to allow a ndarray-like unit array inside a pandas.Index? Based on what I've seen on the pandas side, this looks far from straightforward.

With that in mind, would "dimension coordinates with units" (or more generally "dimension coordinates with __array_function__ implementers") be another use case that best falls under flexible indices (#1603)?

(In the mean time, I would guess that the best workaround is using an accessor interface to handle unit-related operations on coordinates, since the attrs are preserved.)

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   100295585