pvardanis commented on issue #36890:
URL: https://github.com/apache/arrow/issues/36890#issuecomment-1651855669
Seems I found a solution:
```python
data = [
pa.array([1, 2, 3]),
pa.array(['foo', 'bar', None]),
pa.array([True, None, True]),
tensor_array,
tensor_array_2
]
my_schema = pa.schema([('f0', pa.int8()),
('f1', pa.string()),
('f2', pa.bool_()),
('tensors_int', tensor_type),
('tensors_float', tensor_type_2)])
table = pa.Table.from_arrays(data, schema=my_schema)
tensor_array_restructured = np.array([np.reshape(array,
tuple(table.schema.field('tensors_int').type.shape)) for array in
table['tensors_int'].to_numpy()])
```
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