mroeschke opened a new issue, #45341:
URL: https://github.com/apache/arrow/issues/45341
### Describe the enhancement requested
I figure that when calling `pyarrow.Array.to_pandas`, there's an effort to
maintain the zero-copy conversion by making the underlying numpy data not
writeable.
```python
In [4]: import pyarrow as pa
In [5]: import datetime
In [6]: pa.array([datetime.datetime(2020, 1,
1)]).to_pandas().array._ndarray.flags
Out[6]:
C_CONTIGUOUS : True
F_CONTIGUOUS : True
OWNDATA : False
WRITEABLE : False
ALIGNED : True
WRITEBACKIFCOPY : False
```
It would be nice if there was an option to allow the underlying data
writeable like the `writable` option in `to_numpy`
### Component(s)
Python
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