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  • xarray · 2 ✖
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
2189750364 PR_kwDOAMm_X85p0Epw 8847 pandas 3 MultiIndex fixes dcherian 2448579 closed 0     0 2024-03-16T03:51:06Z 2024-03-20T15:00:20Z 2024-03-20T15:00:18Z MEMBER   0 pydata/xarray/pulls/8847 
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     xarray 13221727 pull
2189738090 PR_kwDOAMm_X85p0CKq 8846 Support pandas copy-on-write behaviour dcherian 2448579 closed 0     2 2024-03-16T03:14:46Z 2024-03-18T16:00:15Z 2024-03-18T16:00:12Z MEMBER   0 pydata/xarray/pulls/8846
  • [x] Closes #8843
  • [x] Tests added

```python import numpy as np import pandas as pd

pd.set_option("mode.copy_on_write", True)

from xarray.core.variable import _possibly_convert_objects

string_var = np.array(["a", "bc", "def"], dtype=object) datetime_var = np.array( ["2019-01-01", "2019-01-02", "2019-01-03"], dtype="datetime64[ns]" ) assert _possibly_convert_objects(string_var).flags.writeable assert _possibly_convert_objects(datetime_var).flags.writeable ```

The core issue is that we now get read-only arrays back from pandas here: https://github.com/pydata/xarray/blob/fbcac7611bf9a16750678f93483d3dbe0e261a0a/xarray/core/variable.py#L197-L212

@phofl is this expected?

 
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     xarray 13221727 pull

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