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Jonathan Keane commented on ARROW-6043: --------------------------------------- This has also come up in a slightly different context (comparing {{NaN}}s to non-missing values) and I made ARROW-13364, though depending on how this ticket is resolved they might go together. > [Python] 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 > Components: Python > Affects Versions: 0.14.1 > Reporter: Keith Kraus > Assignee: Krisztian Szucs > Priority: Major > Labels: pull-request-available > Fix For: 6.0.0 > > Time Spent: 1h 10m > Remaining Estimate: 0h > > {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. -- This message was sent by Atlassian Jira (v8.3.4#803005)