Keith Kraus created ARROW-4324: ---------------------------------- 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} -- This message was sent by Atlassian JIRA (v7.6.3#76005)