[ARROW-2172] [Python] Incorrect conversion from Numpy array when stride % itemsize != 0

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 0.8.0
• Fix Version/s: 0.9.0
• Component/s: Python
• Labels: pull-request-available
• External issue URL: https://github.com/apache/arrow/issues/18138
• Assignee: Antoine Pitrou
• Reporter: Antoine Pitrou
• Created: 19/Feb/18 12:05
• Updated: 11/Jan/23 07:19
• Resolved: 20/Feb/18 20:12

Description

In the example below, the input array has a stride that's not a multiple of the itemsize:

>>> data = np.array([(42, True), (43, False)],
...:                dtype=[('x', np.int32), ('y', np.bool_)])
...:                
...:                                        
>>> data['x']
array([42, 43], dtype=int32)
>>> pa.array(data['x'], type=pa.int32())
<pyarrow.lib.Int32Array object at 0x7ff60a8415e8>
[
  42,
  11009
]

Issue Links

• links to: GitHub Pull Request #1628