jorisvandenbossche opened a new issue, #49644:
URL: https://github.com/apache/arrow/issues/49644
### Describe the enhancement requested
When you want to construct a fixed shape tensor array, not from a single
contiguous ndarray, but from a list of the individual array elements, this
"accidentally" works for 1d arrays (because we support that for ListArray):
```python
>>> pa.array([np.array([1,2,3]), np.array([2,3,4])],
type=pa.fixed_shape_tensor(pa.int64(), shape=(3,)))
<pyarrow.lib.FixedShapeTensorArray object at 0x7fadc4d1f3a0>
[
[
1,
2,
3
],
[
2,
3,
4
]
]
```
But trying the same for >1 d arrays, you get the following error:
```python
>>> pa.array([np.array([[1,2,3]]), np.array([[2,3,4]])],
type=pa.fixed_shape_tensor(pa.int64(), shape=(1, 3)))
...
ArrowInvalid: Can only convert 1-dimensional array values
```
AFAIK, the only way to currently do this conversion, is to convert the list
of arrays to a single ndarray yourself, and then use
`pa.FixedShapeTensorArray.from_numpy_ndarray`.
(cc @rok)
### Component(s)
Python
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