jorisvandenbossche opened a new pull request, #45176:
URL: https://github.com/apache/arrow/pull/45176
### Rationale for this change
Currently this keyword works for string or large string:
```python
>>> table = pa.table({"col": pa.array(["a", "b", "a"], pa.string())})
>>> table.to_pandas(strings_to_categorical=True).dtypes
col category
dtype: object
>>> table = pa.table({"col": pa.array(["a", "b", "a"], pa.large_string())})
>>> table.to_pandas(strings_to_categorical=True).dtypes
col category
dtype: object
```
but not for string view:
```python
>>> table = pa.table({"col": pa.array(["a", "b", "a"], pa.string_view())})
>>> table.to_pandas(strings_to_categorical=True).dtypes
col object
dtype: object
```
For consistency we should make that keyword check for string view columns as
well, I think
From https://github.com/apache/arrow/pull/44195/files#r1901831460
### Are these changes tested?
Yes
### Are there any user-facing changes?
Yes, when using the `strings_to_categorical=True` keyword and having a
string_view type, this column will now be converted to a pandas Categorical
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