[ARROW-2554] pa.array type inference bug when using NS-timestamp

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 0.9.0
• Fix Version/s: 0.10.0
• Component/s: Python
• Labels: pull-request-available
• External issue URL: https://github.com/apache/arrow/issues/18896
• Assignee: Marco Neumann
• Reporter: Marco Neumann
• Created: 08/May/18 15:51
• Updated: 11/Jan/23 07:21
• Resolved: 14/Jun/18 12:21

Description

The following fails:

import pandas as pd
import pyarrow as pa

pa.array([pd.Timestamp('now').to_datetime64()])

with ArrowNotImplementedError: Cannot convert NumPy datetime64 objects with differing unit, but when you provide the correct type information directly, it works:

import pandas as pd
import pyarrow as pa

pa.array([pd.Timestamp('now').to_datetime64()], type=pa.timestamp('ns'))

Issue Links

• links to: GitHub Pull Request #2118