AlenkaF opened a new issue, #37200:
URL: https://github.com/apache/arrow/issues/37200
### Describe the bug, including details regarding any error messages,
version, and platform.
When converting an empty table with a known schema to a record batch, the
information about the schema is lost and the result is an empty list:
```python
>>> my_schema = pa.schema([pa.field('col1', pa.int64())])
>>> df = pa.table([[]], schema=my_schema)
>>> df
pyarrow.Table
col1: int64
----
col1: [[]]
>>> df.to_batches()
[]
```
but in comparison, if we are creating an empty batch with a known schema we
get the following:
```python
>>> batch = pa.record_batch([[]], schema=my_schema)
>>> batch
pyarrow.RecordBatch
col1: int64
----
col1: []
```
and I think this should be same for the case of converting an empty table
with known schema to a record batch.
### Component(s)
Python
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