Keith Kraus created ARROW-4324:
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Summary: [Python] Array dtype inference incorrect when created
from list of mixed numpy scalars
Key: ARROW-4324
URL: https://issues.apache.org/jira/browse/ARROW-4324
Project: Apache Arrow
Issue Type: Bug
Affects Versions: 0.11.1
Reporter: Keith Kraus
Minimal reproducer:
{code:python}
import pyarrow as pa
import numpy as np
test_list = [np.dtype('int32').type(10), np.dtype('float32').type(0.5)]
test_array = pa.array(test_list)
# Expected
# test_array
# <pyarrow.lib.DoubleArray object at 0x7f009963bf48>
# [
# 10,
# 0.5
# ]
# Got
# test_array
# <pyarrow.lib.Int32Array object at 0x7f009963bf48>
# [
# 10,
# 0
# ]
{code}
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