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BUG: Raise TypeError for mismatched signed/unsigned dtypes in IntervalIndex.from_arrays #62376

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Merged
merged 13 commits into from
Oct 29, 2025
Merged

BUG: Raise TypeError for mismatched signed/unsigned dtypes in IntervalIndex.from_arrays #62376

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736ae02
BUG: Raise TypeError for mismatched signed/unsigned dtypes in Interva…
Aniketsy Sep 18, 2025
439efbe
BUG: Raise TypeError for mismatched signed/unsigned dtypes
Aniketsy Oct 3, 2025
ed887d9
BUG: Raise TypeError for mismatched signed/unsigned dtypes
Aniketsy Oct 9, 2025
f7433c8
BUG: Raise TypeError for mismatched signed/unsigned dtypes
Aniketsy Oct 10, 2025
5b67c6e
Fix type-ignore
Aniketsy Oct 13, 2025
c75bec0
BUG: Raise TypeError for mismatched signed/unsigned dtypes
Aniketsy Oct 13, 2025
9b6dafc
Revert "BUG: Raise TypeError for mismatched signed/unsigned dtypes"
Aniketsy Oct 13, 2025
2261af1
BUG: Raise TypeError for mismatched signed/unsigned dtypes
Aniketsy Oct 13, 2025
6a6b2c4
BUG: Raise TypeError for mismatched signed/unsigned dtypes
Aniketsy Oct 16, 2025
dd0ffb4
Merge branch 'main' into fix-intervalindex-signedness
Aniketsy Oct 16, 2025
9936c81
Merge branch 'main' into fix-intervalindex-signedness
Aniketsy Oct 29, 2025
eb9cfa7
fix-pre-commit
Aniketsy Oct 29, 2025
cffb9b1
Merge branch 'main' into fix-intervalindex-signedness
Aniketsy Oct 29, 2025
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2 changes: 1 addition & 1 deletion doc/source/whatsnew/v3.0.0.rst
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Expand Up @@ -958,7 +958,7 @@ Interval
^^^^^^^^
- :meth:`Index.is_monotonic_decreasing`, :meth:`Index.is_monotonic_increasing`, and :meth:`Index.is_unique` could incorrectly be ``False`` for an ``Index`` created from a slice of another ``Index``. (:issue:`57911`)
- Bug in :func:`interval_range` where start and end numeric types were always cast to 64 bit (:issue:`57268`)
-
- Construction of :class:`IntervalArray` and :class:`IntervalIndex` from arrays with mismatched signed/unsigned integer dtypes (e.g., ``int64`` and ``uint64``) now raises a :exc:`TypeError` instead of proceeding silently. (:issue:`55715`)

Indexing
^^^^^^^^
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13 changes: 13 additions & 0 deletions pandas/core/arrays/interval.py
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Expand Up @@ -536,6 +536,19 @@ def from_arrays(
left = _maybe_convert_platform_interval(left)
right = _maybe_convert_platform_interval(right)

# Check for mismatched signed/unsigned integer dtypes
left_dtype = left.dtype
right_dtype = right.dtype
if (
left_dtype.kind in "iu"
and right_dtype.kind in "iu"
and left_dtype.kind != right_dtype.kind
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@jbrockmendel jbrockmendel Oct 13, 2025

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can't we just compare if left.dtype != right.dtype at this point?

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@Aniketsy Aniketsy Oct 13, 2025

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yes, this will be more clear . i will update with this .

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@Aniketsy Aniketsy Oct 13, 2025

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@jbrockmendel i guess we should not use if left.dtype != right.dtype as this will only restrict to int64 vs uint64 and cause failure in other cases . should i revert the changes to previous one.

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@jbrockmendel jbrockmendel Oct 13, 2025

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what cases? im pretty sure we always want matching dtypes

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@Aniketsy Aniketsy Oct 13, 2025

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=========================== short test summary info ============================
FAILED pandas/tests/indexes/categorical/test_astype.py::TestAstype::test_astype - TypeError: Left and right arrays must have matching dtypes. Got float64 and int64.
FAILED pandas/tests/indexes/interval/test_constructors.py::TestFromArrays::test_mixed_float_int[int64-float64] - TypeError: Left and right arrays must have matching dtypes. Got int64 and float64.
FAILED pandas/tests/indexes/interval/test_constructors.py::TestFromArrays::test_mixed_float_int[float64-int64] - TypeError: Left and right arrays must have matching dtypes. Got float64 and int64.
FAILED

got these these check fails, after applying changes.

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@jbrockmendel jbrockmendel Oct 13, 2025

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Looks like it is casting mixed int/float to float/float in ensure_simple_new_inputs. So putting this check after that should do the trick

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@Aniketsy Aniketsy Oct 13, 2025

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sure, that make sense.

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@Aniketsy Aniketsy Oct 13, 2025

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just to confirm before applying changes , i should move these check after ensure_simple_new_inputs, or should I use a strict if left.dtype != right.dtype check after that step?

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@jbrockmendel jbrockmendel Oct 13, 2025

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i think so yes

):
raise TypeError(
f"Left and right arrays must have matching signedness. "
f"Got {left_dtype} and {right_dtype}."
)

left, right, dtype = cls._ensure_simple_new_inputs(
left,
right,
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2 changes: 1 addition & 1 deletion pandas/io/excel/_xlsxwriter.py
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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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8 changes: 8 additions & 0 deletions pandas/tests/indexes/interval/test_interval.py
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Expand Up @@ -882,6 +882,14 @@ def test_is_all_dates(self):
assert not year_2017_index._is_all_dates


def test_from_arrays_mismatched_signedness_raises():
# GH 55715
left = np.array([0, 1, 2], dtype="int64")
right = np.array([1, 2, 3], dtype="uint64")
with pytest.raises(TypeError, match="matching signedness"):
IntervalIndex.from_arrays(left, right)


def test_dir():
# GH#27571 dir(interval_index) should not raise
index = IntervalIndex.from_arrays([0, 1], [1, 2])
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