issue_comments: 696997402

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/4449#issuecomment-696997402 https://api.github.com/repos/pydata/xarray/issues/4449 696997402 MDEyOklzc3VlQ29tbWVudDY5Njk5NzQwMg== 1217238 2020-09-22T21:41:01Z 2020-09-22T21:41:01Z MEMBER

The work around is to call ds1.load() or use ds2 = ds1.compute() instead of calling .copy(deep=True)

The direct source of the issue here is: https://github.com/pydata/xarray/pull/4379

We probably should have been more careful with that change, because it is technically a regression. Previously we would always load data into NumPy arrays when doing a deep copy, but after that change the underlying data structures are deep-copied rather than being loaded into NumPy. That's probably more consistent with what users would expect in general from a "deep copy" but is definitely a change from the previous behavior.

 
{
    "total_count": 2,
    "+1": 2,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   706507153