[jira] [Created] (ARROW-11538) [Python] Seg Fault with pandas.Timestamp filter

["Josh (Jira)" <ji...@apache.org>]

Josh created ARROW-11538:
----------------------------

             Summary: [Python] Seg Fault with pandas.Timestamp filter
                 Key: ARROW-11538
                 URL: https://issues.apache.org/jira/browse/ARROW-11538
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
    Affects Versions: 3.0.0
         Environment: platform: Linux 64bit
conda env:
conda create -n pya python=3.8 pyarrow=3.0.0 pandas=1.2.1 pytest -c conda-forge
            Reporter: Josh


The first two tests pass but the third gives: Fatal Python error: Segmentation fault

All three pass in with pyarrow=2.0.0
{code:java}
import pandas
import pyarrow as pa
import pyarrow.dataset as ds
import pyarrow.parquet as pq
import pytest


@pytest.fixture
def data_path(tmp_path):
    path = tmp_path / "data.parquet"
    df = pandas.DataFrame(
        [
            ["A", pandas.Timestamp("2020-11-04")],
        ],
        columns=["name", "date"],
    )
    table = pa.Table.from_pandas(df)
    pq.write_table(table, path, version="2.0")
    return df, path


def test_dataset(data_path):
    data, path = data_path

    dataset = ds.dataset(path, format="parquet")
    assert data.equals(dataset.to_table().to_pandas())


@pytest.mark.parametrize(
    "filter",
    [
        None,
        ds.field("date") == "2020-11-04",
        ds.field("date") == pandas.Timestamp("2020-11-04"),
    ],
)
def test_dataset_filter(filter, data_path):
    data, path = data_path

    dataset = ds.dataset(path, format="parquet")
    assert data.equals(dataset.to_table(filter=filter).to_pandas())

{code}



--
This message was sent by Atlassian Jira
(v8.3.4#803005)