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7 changes: 7 additions & 0 deletions pandas/core/indexes/datetimelike.py
Original file line number Diff line number Diff line change
Expand Up @@ -637,6 +637,13 @@ def _can_fast_intersect(self, other: Self) -> bool:
# Because freq is not None, we must then be monotonic decreasing
return False

# for non-anchored frequencies, need to check that the two
# indexes actually share a common point
# GH#44025
diff = other[0] - self[0]
if diff != Timedelta(0) and diff.total_seconds() % 86400 != 0:
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clearer just to write diff != Timedelta(days=1)?

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of never mind, didn't see the %

return False

# this along with matching freqs ensure that we "line up",
# so intersection will preserve freq
# Note we are assuming away Ticks, as those go through _range_intersect
Expand Down
14 changes: 14 additions & 0 deletions pandas/tests/indexes/datetimes/test_setops.py
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@
import numpy as np
import pytest

from pandas._libs.tslibs.timedeltas import Timedelta
import pandas.util._test_decorators as td

import pandas as pd
Expand Down Expand Up @@ -757,3 +758,16 @@ def test_intersection_non_nano_rangelike():
freq="D",
)
tm.assert_index_equal(result, expected)


def test_cday_intersection_empty():
# GH#44025
off = pd.offsets.CDay(1, normalize=False)
ts = Timestamp("2021-10-13 09:00")
ts2 = ts + Timedelta("1 hour")

dti1 = date_range(start=ts, periods=10, freq=off)
dti2 = date_range(start=ts2, periods=10, freq=off)
result = dti1.intersection(dti2)
expected = DatetimeIndex([], dtype="datetime64[ns]")
tm.assert_index_equal(result, expected)
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