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TST: Replace ensure_clean_store with temp_file in test_time_series.py #62652

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Merged
merged 5 commits into from
Oct 13, 2025
+7 −7
Merged

TST: Replace ensure_clean_store with temp_file in test_time_series.py #62652

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0bf7f2b
TST: Replace ensure_clean_store with temp_file in test_time_series.py
VYaswanthKumar Oct 11, 2025
3855748
Restore required blank lines, fix imports, update test signatures to …
VYaswanthKumar Oct 13, 2025
ea7e01c
TST: Fix unused type:ignore comment in _xlsxwriter.py for CI checks
VYaswanthKumar Oct 13, 2025
932bf57
Revert whitespace changes in _xlsxwriter.py
VYaswanthKumar Oct 13, 2025
025568a
Merge branch 'main' into main
mroeschke Oct 13, 2025
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2 changes: 1 addition & 1 deletion pandas/io/excel/_xlsxwriter.py
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Original file line number Diff line number Diff line change
Expand Up @@ -213,7 +213,7 @@ def __init__( # pyright: ignore[reportInconsistentConstructor]
)

try:
self._book = Workbook(self._handles.handle, **engine_kwargs) # type: ignore[arg-type]
self._book = Workbook(self._handles.handle, **engine_kwargs)
except TypeError:
self._handles.handle.close()
raise
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14 changes: 7 additions & 7 deletions pandas/tests/io/pytables/test_time_series.py
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Expand Up @@ -6,29 +6,29 @@
from pandas import (
DataFrame,
DatetimeIndex,
HDFStore,
Series,
_testing as tm,
date_range,
period_range,
)
from pandas.tests.io.pytables.common import ensure_clean_store

pytestmark = pytest.mark.single_cpu


@pytest.mark.parametrize("unit", ["us", "ns"])
def test_store_datetime_fractional_secs(setup_path, unit):
def test_store_datetime_fractional_secs(temp_file, unit):
dt = datetime.datetime(2012, 1, 2, 3, 4, 5, 123456)
dti = DatetimeIndex([dt], dtype=f"M8[{unit}]")
series = Series([0], index=dti)
with ensure_clean_store(setup_path) as store:
with HDFStore(temp_file) as store:
store["a"] = series
assert store["a"].index[0] == dt


@pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
def test_tseries_indices_series(setup_path):
with ensure_clean_store(setup_path) as store:
def test_tseries_indices_series(temp_file):
with HDFStore(temp_file) as store:
idx = date_range("2020-01-01", periods=10)
ser = Series(np.random.default_rng(2).standard_normal(len(idx)), idx)
store["a"] = ser
Expand All @@ -49,8 +49,8 @@ def test_tseries_indices_series(setup_path):


@pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
def test_tseries_indices_frame(setup_path):
with ensure_clean_store(setup_path) as store:
def test_tseries_indices_frame(temp_file):
with HDFStore(temp_file) as store:
idx = date_range("2020-01-01", periods=10)
df = DataFrame(
np.random.default_rng(2).standard_normal((len(idx), 3)), index=idx
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