Keith Kraus created ARROW-6043:
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Summary: Array equals returns incorrectly if NaNs are in arrays
Key: ARROW-6043
URL: https://issues.apache.org/jira/browse/ARROW-6043
Project: Apache Arrow
Issue Type: Bug
Affects Versions: 0.14.1
Reporter: Keith Kraus
{code:python}
import numpy as np
import pyarrow as pa
data = [0, 1, np.nan, None, 4]
arr1 = pa.array(data)
arr2 = pa.array(data)
pa.Array.equals(arr1, arr2)
{code}
Unsure if this is expected behavior, but in Arrow 0.12.1 this returned `True`
as compared to `False` in 0.14.1.
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