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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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1550792876 | I_kwDOAMm_X85cbzis | 7463 | Coordinates not deep copy | mgaspary 118520620 | open | 0 | 7 | 2023-01-20T12:45:52Z | 2023-02-13T17:47:22Z | NONE | What happened?The coordinates are not copied if you perform deepcopy for xarray.
This issue was fixed before. I don't see it, for example, in ```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 ``` Interesting, that if your coordinates are What did you expect to happen?```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]) # I expect it to be 0.0 ``` Minimal Complete Verifiable Example```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 ``` MVCE confirmation
Relevant log outputNo response Anything else we need to know?No response Environment
xarray 2023.1.0
python 3.8.10
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xarray 13221727 | issue |
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