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19 changes: 15 additions & 4 deletions pandas/core/arrays/interval.py
Original file line number Diff line number Diff line change
Expand Up @@ -1971,10 +1971,10 @@ def _from_combined(self, combined: np.ndarray) -> IntervalArray:
"""
Create a new IntervalArray with our dtype from a 1D complex128 ndarray.
"""
nc = combined.view("i8").reshape(-1, 2)

dtype = self._left.dtype
if needs_i8_conversion(dtype):
nc = combined.view("i8").reshape(-1, 2)
assert isinstance(self._left, (DatetimeArray, TimedeltaArray))
new_left: DatetimeArray | TimedeltaArray | np.ndarray = type(
self._left
Expand All @@ -1985,16 +1985,27 @@ def _from_combined(self, combined: np.ndarray) -> IntervalArray:
)._from_sequence(nc[:, 1], dtype=dtype)
else:
assert isinstance(dtype, np.dtype)
nc = np.hstack(
[np.real(combined).astype(dtype), np.imag(combined).astype(dtype)]
).reshape(-1, 2)
new_left = nc[:, 0].view(dtype)
new_right = nc[:, 1].view(dtype)
return self._shallow_copy(left=new_left, right=new_right)

def unique(self) -> IntervalArray:
# No overload variant of "__getitem__" of "ExtensionArray" matches argument
# type "Tuple[slice, int]"
nc = unique(
self._combined.view("complex128")[:, 0] # type: ignore[call-overload]
)
if needs_i8_conversion(self._left.dtype):
nc = unique(
self._combined.view("complex128")[:, 0] # type: ignore[call-overload]
)
else:
nc = unique(
# Using .view("complex128") with negatives causes issues.
# GH#61917
(np.array(self._combined[:, 0], dtype=complex))
+ (1j * np.array(self._combined[:, 1], dtype=complex))
)
nc = nc[:, None]
return self._from_combined(nc)

Expand Down
25 changes: 25 additions & 0 deletions pandas/tests/arrays/interval/test_interval.py
Original file line number Diff line number Diff line change
Expand Up @@ -111,6 +111,31 @@ def test_shift_datetime(self):
with pytest.raises(TypeError, match=msg):
a.shift(1, fill_value=np.timedelta64("NaT", "ns"))

def test_unique_with_negatives(self):
# GH#61917
idx_pos = IntervalIndex.from_tuples(
[(3, 4), (3, 4), (2, 3), (2, 3), (1, 2), (1, 2)]
)
result = idx_pos.unique()
expected = IntervalIndex.from_tuples([(3, 4), (2, 3), (1, 2)])
tm.assert_index_equal(result, expected)

idx_neg = IntervalIndex.from_tuples(
[(-4, -3), (-4, -3), (-3, -2), (-3, -2), (-2, -1), (-2, -1)]
)
result = idx_neg.unique()
expected = IntervalIndex.from_tuples([(-4, -3), (-3, -2), (-2, -1)])
tm.assert_index_equal(result, expected)

idx_mix = IntervalIndex.from_tuples(
[(1, 2), (0, 1), (-1, 0), (-2, -1), (-3, -2), (-3, -2)]
)
result = idx_mix.unique()
expected = IntervalIndex.from_tuples(
[(1, 2), (0, 1), (-1, 0), (-2, -1), (-3, -2)]
)
tm.assert_index_equal(result, expected)


class TestSetitem:
def test_set_na(self, left_right_dtypes):
Expand Down
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