asfimport opened a new issue, #27468:
URL: https://github.com/apache/arrow/issues/27468
`data = np.zeros((10,8), dtype=np.uint8)`
`out = pa.array(list(data))`
`out.type # ListType(list<item: uint8>)`
`data = np.zeros((3,4,6), dtype=np.uint8)`
`out = pa.array(list(data)) # Throws error ArrowInvalid: Can only convert
1-dimensional array values`
Even though it's working on 2D numpy arrays perfectly, it doesn't work on
N-Dimensional numpy arrays (where N > 2). Is possible to extend the current
feature for inner elements with dimension greater than 1?
**Reporter**: [Bhavitvya
Malik](https://issues.apache.org/jira/browse/ARROW-11600)
<sub>**Note**: *This issue was originally created as
[ARROW-11600](https://issues.apache.org/jira/browse/ARROW-11600). Please see
the [migration documentation](https://github.com/apache/arrow/issues/14542) for
further details.*</sub>
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
