issue_comments: 753225789

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/pull/4746#issuecomment-753225789 https://api.github.com/repos/pydata/xarray/issues/4746 753225789 MDEyOklzc3VlQ29tbWVudDc1MzIyNTc4OQ== 5635139 2020-12-31T23:38:33Z 2020-12-31T23:38:33Z MEMBER

Any ideas on how sparse arrays should be handled in unstack? Currently we use reindex, so this seems to pass through without much effort on our part.

In the new code, we're creating an array with np.full and then assigning to the appropriate locations. Can we do something similar that's not dependent on the underlying numpy / sparse / dask storage?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   777153550