Bryan Cutler created ARROW-3428:
-----------------------------------
Summary: [Python] from_pandas gives incorrect results when
converting floating point to bool
Key: ARROW-3428
URL: https://issues.apache.org/jira/browse/ARROW-3428
Project: Apache Arrow
Issue Type: Bug
Components: Python
Reporter: Bryan Cutler
Assignee: Bryan Cutler
When converting Pandas data that contains floating point values to boolean,
incorrect results are given
{noformat}
In [2]: import pyarrow as pa
...: import pandas as pd
...: a = [0.0, 1.0, 2.0, None, float('NaN')]
...:
In [3]: s = pd.Series(a)
In [4]: pa.Array.from_pandas(s, type=pa.bool_())
Out[4]:
<pyarrow.lib.BooleanArray object at 0x7f1bfd099e68>
[
False,
False,
False,
False,
False
]
{noformat}
Expected output should be True when value != 0
This originated from SPARK-25461
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