Diveyam-Mishra commented on issue #51162:
URL: https://github.com/apache/arrow/issues/51162#issuecomment-5557844786
Thanks for filing this with a clean repro. I was able to reproduce and test
this behavior across Pandas 2.2 / 3.0.
Under the hood, this is a known design limitation in Pandas' Copy-on-Write
architecture regarding external/third-party zero-copy consumers:
Immediate Workaround: PyArrow Backend
For users looking for guaranteed buffer independence and immutability under
CoW today, using the PyArrow backend in Pandas completely avoids this issue:
```python
# Using PyArrow-backed dtypes
df = pd.DataFrame({"a": [1, 2, 3]}, dtype="int64[pyarrow]")
table = pa.Table.from_pandas(df)
df.iloc[0, 0] = 999
print(table.column("a").to_pylist()) # [1, 2, 3]
print(df["a"].to_list()) # [999, 2, 3]
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