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  • zoj613 · 1 ✖

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  • two Dataset objects reference the same numpy array memory block upon creation. · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1074074385 https://github.com/pydata/xarray/issues/6395#issuecomment-1074074385 https://api.github.com/repos/pydata/xarray/issues/6395 IC_kwDOAMm_X85ABRMR zoj613 44142765 2022-03-21T15:56:27Z 2022-03-21T15:56:27Z NONE

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)

<xarray.Variable (x: 3)>

array([1, 2, 3])

print(v2)

<xarray.Variable (x: 3)>

array([1, 2, 3])

data[0] = 10

print(v1)

<xarray.Variable (x: 3)>

array([10, 2, 3])

print(v2)

<xarray.Variable (x: 3)>

array([10, 2, 3])

```

Dataset.copy(deep=True) makes a deep copy, thus copying the underlying data.

Thanks for the quick response. I wasn't aware of this. I had assumed a new Dataset object will have data that is a copy of the underlying var_map data pass into it. Maybe this could be mentioned as a note in the docstring somewhere?

 
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   two Dataset objects reference the same numpy array memory block upon creation. 1175517164

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