AlenkaF commented on issue #38912:
URL: https://github.com/apache/arrow/issues/38912#issuecomment-1829532741
If you can work with record batches I would suggest using
`to_struct_array()` method:
```python
import pyarrow as pa
batch = pa.RecordBatch.from_pydict({"a": [1, 2, 3], "b": [3, 4, 5]})
struct_array = batch.to_struct_array()
batch_result = pa.RecordBatch.from_arrays([struct_array], names=["c"])
# pyarrow.RecordBatch
# c: struct<a: int64, b: int64>
# child 0, a: int64
# child 1, b: int64
# ----
# c: -- is_valid: all not null
# -- child 0 type: int64
# [1,2,3]
# -- child 1 type: int64
# [3,4,5]
```
If you need to work with tables then you can do the same for each individual
chunk:
```python
```
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