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BUG: IntervalIndex.unique() only contains the first interval if all interval borders are negative #61920

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BUG: IntervalIndex.unique() only contains the first interval if all interval borders are negative #61920

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khemkaran10
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Fixes: #61917
Before FIx ❌:

idx_neg = pd.IntervalIndex.from_tuples([(-4, -3), (-4, -3), (-3, -2), (-3, -2), (-2, -1), (-2, -1)])
print(idx_neg.unique())

# Output:
# IntervalIndex([(-4, -3]], dtype='interval[int64, right]')

After Fix ✅:

idx_neg = pd.IntervalIndex.from_tuples([(-4, -3), (-4, -3), (-3, -2), (-3, -2), (-2, -1), (-2, -1)])
print(idx_neg.unique())

# output:
# IntervalIndex([(-4, -3], (-3, -2], (-2, -1]], dtype='interval[int64, right]')

@simonjayhawkins simonjayhawkins added Bug Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Interval Interval data type labels Jul 22, 2025
@simonjayhawkins simonjayhawkins changed the title FIX BUG: IntervalIndex.unique() only contains the first interval if all interval borders are negative BUG: IntervalIndex.unique() only contains the first interval if all interval borders are negative Jul 22, 2025
jbrockmendel
jbrockmendel reviewed Jul 22, 2025
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jbrockmendel
jbrockmendel reviewed Jul 22, 2025
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mroeschke
mroeschke reviewed Jul 22, 2025
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khemkaran10
khemkaran10 commented Jul 24, 2025
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pandas/core/arrays/interval.py
nc = unique(
self._combined.view("complex128")[:, 0] # type: ignore[call-overload]
)
if needs_i8_conversion(self._left.dtype):
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The reason I kept this is because this test was failing with the new approach.

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BUG: IntervalIndex.unique() only contains the first interval if all interval borders are negative
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@khemkaran10 @jbrockmendel @mroeschke @simonjayhawkins