pearu opened a new issue, #54651:
URL: https://github.com/apache/arrow/issues/54651
### Describe the enhancement requested
CSV columns typed as `time32` or `time64` are parsed only from the ISO-8601
format, and `ConvertOptions.timestamp_parsers` applies only to timestamp
columns:
```python
import io
import pyarrow as pa
from pyarrow import csv
convert_options = csv.ConvertOptions(
column_types={"t": pa.time32("s")}, timestamp_parsers=["%H.%M.%S"]
)
print(csv.read_csv(io.BytesIO(b"t\n14.30.00\n"),
convert_options=convert_options))
```
```
pyarrow.lib.ArrowInvalid: In CSV column #0: CSV conversion error to
time32[s]: invalid value '14.30.00'
```
The workaround is to read the column as a timestamp and cast it to a time. I
propose that time columns try `timestamp_parsers` after the ISO-8601 parser
fails, and take the time of day of the parsed timestamp, as a cast from
timestamp to time does.
An implementation exists in #50146, which is being refactored into smaller
PRs.
Part of #41488.
### Component(s)
C++, Python
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