AlenkaF commented on issue #37009:
URL: https://github.com/apache/arrow/issues/37009#issuecomment-1681644987
The errors do seem related to the ones you listed. Could we first check the
package versions?
When running on pyarrow dev and pandas 2.0.0 the code seems to work for me:
```python
>>> import pyarrow as pa
>>> import pandas as pd
>>> pa.__version__
'13.0.0.dev670+g757e0d5cc'
>>> pd.__version__
'2.0.0'
>>> df = pa.table(
... {"col1": pa.array([pd.Timestamp.utcnow()], pa.timestamp("ns",
"UTC"))}
... ).to_pandas(types_mapper=pd.ArrowDtype)
assert df["col1"].dtype == pd.ArrowDtype(pa.timestamp("ns", "UTC"))>>>
assert df["col1"].dtype == pd.ArrowDtype(pa.timestamp("ns", "UTC"))
>>> df
col1
0 2023-08-17 05:36:07.142786+00:00
>>> df["col1"]
0 2023-08-17 05:36:07.142786+00:00
Name: col1, dtype: timestamp[ns, tz=UTC][pyarrow]
>>> pa.array([pd.Timestamp.utcnow()], pa.timestamp("ns", "UTC")).to_pandas(
... types_mapper=pd.ArrowDtype
... )
0 2023-08-17 05:36:15.453414+00:00
dtype: timestamp[ns, tz=UTC][pyarrow]
```
Which versions are you using @0x26res?
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