AlenkaF commented on issue #12458:
URL: https://github.com/apache/arrow/issues/12458#issuecomment-1044500102
You could also try to pass a schema to `to_parquet` if you know you have
strings for certain columns:
```python
import pandas as pd
import pyarrow as pa
dr = pd.date_range(start='2022-01-01', end='2022-01-10', freq='D')
df = pd.DataFrame(index=dr)
df['A'] = pd.to_datetime('today')
df['B'] = 1.0
df['C'] = 'a'
df['D'] = 2
schema = pa.schema([
pa.field('A', pa.timestamp('ns')),
pa.field('B', pa.float64()),
pa.field('C', pa.string()),
pa.field('D', pa.int64())])
df.head(0).to_parquet('b/0.parquet', schema=schema)
df.to_parquet('b/1.parquet')
pd.read_parquet('b')
A B C D
0 2022-02-18 14:03:36.691288 1.0 a 2
1 2022-02-18 14:03:36.691288 1.0 a 2
2 2022-02-18 14:03:36.691288 1.0 a 2
3 2022-02-18 14:03:36.691288 1.0 a 2
4 2022-02-18 14:03:36.691288 1.0 a 2
5 2022-02-18 14:03:36.691288 1.0 a 2
6 2022-02-18 14:03:36.691288 1.0 a 2
7 2022-02-18 14:03:36.691288 1.0 a 2
8 2022-02-18 14:03:36.691288 1.0 a 2
9 2022-02-18 14:03:36.691288 1.0 a 2
```
See https://issues.apache.org/jira/browse/ARROW-14488
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