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/6395#issuecomment-1075081836,https://api.github.com/repos/pydata/xarray/issues/6395,1075081836,IC_kwDOAMm_X85AFHJs,4160723,2022-03-22T11:52:31Z,2022-03-22T11:52:31Z,MEMBER,"> Maybe this could be mentioned as a note in the docstring somewhere?
Yes that's a good idea. There's a brief mention in the docs here: https://docs.xarray.dev/en/stable/user-guide/data-structures.html#dictionary-like-methods, but I agree we could make it clearer.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1175517164
https://github.com/pydata/xarray/issues/6395#issuecomment-1074069600,https://api.github.com/repos/pydata/xarray/issues/6395,1074069600,IC_kwDOAMm_X85ABQBg,4160723,2022-03-21T15:51:45Z,2022-03-21T15:51:45Z,MEMBER,"This is expected behavior: Xarray variable objects can wrap numpy arrays but generally they don't make copies of the underlying data. So it is possible that two different variables wrap the same numpy array, like in your example and in the example below.
```python
data = np.array([1, 2, 3])
v1 = xr.Variable(""x"", data)
v2 = xr.Variable(""x"", data)
print(v1)
#
# array([1, 2, 3])
print(v2)
#
# array([1, 2, 3])
data[0] = 10
print(v1)
#
# array([10, 2, 3])
print(v2)
#
# array([10, 2, 3])
```
`Dataset.copy(deep=True)` makes a deep copy, thus copying the underlying data.","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1175517164