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[TST] Parse arrow_dtype as datetime index #60097

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[TST] Parse arrow_dtype as datetime index #60097

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6e83c4b
[TST] First try of pyarrow_dtype as datetime index
MCRE-BE Oct 17, 2024
bc3d7af
Merge branch 'main' into Test_issue_57930
MCRE-BE Oct 24, 2024
19a1733
[FIX] Pre-commit warnings because using pd.XXX
MCRE-BE Oct 25, 2024
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34 changes: 30 additions & 4 deletions pandas/tests/io/parser/test_parse_dates.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,9 +13,8 @@
import numpy as np
import pytest

from pandas._config import using_string_dtype

import pandas as pd
import pandas._testing as tm
from pandas import (
DataFrame,
DatetimeIndex,
Expand All @@ -24,10 +23,9 @@
Series,
Timestamp,
)
import pandas._testing as tm
from pandas._config import using_string_dtype
from pandas.core.indexes.datetimes import date_range
from pandas.core.tools.datetimes import start_caching_at

from pandas.io.parsers import read_csv

pytestmark = pytest.mark.filterwarnings(
Expand Down Expand Up @@ -848,6 +846,34 @@ def test_parse_dates_arrow_engine(all_parsers):
tm.assert_frame_equal(result, expected)


def test_parse_dates_arrow_dtype_as_index(all_parsers):
# GH#57930
parser = all_parsers
data = """a,b
2000-01-01 00:00:00,1
2000-01-01 00:00:01,1"""

result = parser.read_csv(
StringIO(data),
parse_dates=["a"],
index_col="a",
dtype_backend="pyarrow",
)
expected = Series(
[1, 1],
name="b",
dtype="int64[pyarrow]",
index=Index(
[
Timestamp("2000-01-01 00:00:00"),
Timestamp("2000-01-01 00:00:01"),
],
name="a",
),
).to_frame()
tm.assert_frame_equal(result, expected)


@xfail_pyarrow # object dtype index
def test_from_csv_with_mixed_offsets(all_parsers):
parser = all_parsers
Expand Down
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