endremborza opened a new issue, #34782:
URL: https://github.com/apache/arrow/issues/34782
### Describe the bug, including details regarding any error messages,
version, and platform.
Hello!
I don't know if this is specific to python but seems quite straightforward.
I didn't look into it very deeply but its easy to reproduce so I thought I'd
post it.
```python
import pyarrow as pa
import pyarrow.parquet as pq
pa.__version__
```
> '11.0.0'
```python
pt = pa.Table.from_pylist([], pa.schema([("d", pa.timestamp("ns"))]))
pt
```
```
pyarrow.Table
d: timestamp[ns]
----
d: [[]]
```
```python
pq.write_table(pt, "_.p")
pq.read_table("_.p")
```
```
pyarrow.Table
d: timestamp[us]
----
d: [[]]
```
very interestingly if I use pandas, it goes the other way around
```python
import pandas as pd
pt = pa.Table.from_pandas(pd.DataFrame({"d": pd.date_range("2023-01-01",
"2023-01-02")}))
pt
```
```
pyarrow.Table
d: timestamp[ns]
----
d: [[2023-01-01 00:00:00.000000000,2023-01-02 00:00:00.000000000]]
```
```python
pq.write_table(pt, "_.p")
pq.read_table("_.p")
```
```
pyarrow.Table
d: timestamp[us]
----
d: [[2023-01-01 00:00:00.000000,2023-01-02 00:00:00.000000]]
```
### Component(s)
Python
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