[ARROW-18175] [Python] Use saved pandas metadata to determine default timestamp_as_object in to_pandas()

• Type: Improvement
• Status: Open
• Priority: Major
• Resolution: Unresolved
• Component/s: Python
• External issue URL: https://github.com/apache/arrow/issues/33365
• Assignee: Unassigned
• Reporter: Alenka Frim
• Created: 27/Oct/22 13:16
• Updated: 11/Jan/23 11:58

Description

If there is pandas metadata present and it indicates object dtype, we should use that to avoid conversion to datetime64[ns], but keep datetime objects in to_pandas.

Issue Links

• is related to: ARROW-8816 [Python] Year 2263 or later datetimes get mangled when written using pandas