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  • two Dataset objects reference the same numpy array memory block upon creation. · 2 ✖

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1075081836 https://github.com/pydata/xarray/issues/6395#issuecomment-1075081836 https://api.github.com/repos/pydata/xarray/issues/6395 IC_kwDOAMm_X85AFHJs benbovy 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.

 
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   two Dataset objects reference the same numpy array memory block upon creation. 1175517164
1074069600 https://github.com/pydata/xarray/issues/6395#issuecomment-1074069600 https://api.github.com/repos/pydata/xarray/issues/6395 IC_kwDOAMm_X85ABQBg benbovy 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)

<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.

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

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