issue_comments: 577889198

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/3718#issuecomment-577889198 https://api.github.com/repos/pydata/xarray/issues/3718 577889198 MDEyOklzc3VlQ29tbWVudDU3Nzg4OTE5OA== 14808389 2020-01-23T21:39:04Z 2020-01-23T21:39:04Z MEMBER

I don't know too much about that area, but I believe that's because directly after reading a NetCDF file, you don't work with numpy arrays but with something different. Only once you call some form of np.array (such as np.asarray or np.asanyarray) on it, it becomes a numpy.ndarray.

I'm not sure if the behaviour you encountered is a bug (it probably is), but to fix your example for now, I think you should explicitly load() the dataset after opening it: python with xr.open_dataset('ds.nc').load() as ds: ds2 = ds.copy() print(f'ds.equals = {ds.equals(ds2)}') ds2[varname][0] = 11.0 print(f'ds.equals = {ds.equals(ds2)}')

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   554376164