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  • mgaspary · 2 ✖

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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
1427503304 https://github.com/pydata/xarray/issues/7463#issuecomment-1427503304 https://api.github.com/repos/pydata/xarray/issues/7463 IC_kwDOAMm_X85VFfjI mgaspary 118520620 2023-02-13T08:02:55Z 2023-02-13T08:02:55Z NONE

Yes I think we should, but I might have missed the rationale behind allowing it if this is intentional.

EDIT: perhaps better to issue a warning first to avoid some breaking change. We could also try to fix it (make a deep copy) at the same time as deprecating it, but that might be tricky without again introducing performance regressions.

I would assume that deepcopy are completely going to copy the object, so if I change internal parts (like coordinates here), 1st object shall not change. It definitely affects the performance, but otherwise deepcopy is not deep anymore

 
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   Coordinates not deep copy 1550792876
1398221681 https://github.com/pydata/xarray/pull/2930#issuecomment-1398221681 https://api.github.com/repos/pydata/xarray/issues/2930 IC_kwDOAMm_X85TVytx mgaspary 118520620 2023-01-20T10:58:22Z 2023-01-20T10:58:37Z NONE

seems like the same issue again: ```python import xarray as xr

xarr1 = xr.DataArray( np.zeros([2]), coords=dict(x=[0.0, 1.0]), # important to use 'float' here! with 'int' it is working fine dims=("x") ) print(xarr1.x.data[0]) # 0.0

xarr2 = xarr1.copy(deep=True) xarr2.x.data[0] = 45 print(xarr1.x.data[0]) # gives 45 ```

 
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   Bugfix/coords not deep copy 438537597

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