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4 changes: 4 additions & 0 deletions pandas/_libs/intervaltree.pxi.in
Original file line number Diff line number Diff line change
Expand Up @@ -391,6 +391,10 @@ cdef class {{dtype_title}}Closed{{closed_title}}IntervalNode(IntervalNode):
"""Recursively query this node and its sub-nodes for intervals that
overlap with the query point.
"""
# GH 51826: ensures nan is handled properly during reindexing
if np.isnan(point):
return

cdef:
int64_t[:] indices
{{dtype}}_t[:] values
Expand Down
17 changes: 17 additions & 0 deletions pandas/tests/indexing/interval/test_interval.py
Original file line number Diff line number Diff line change
Expand Up @@ -172,3 +172,20 @@ def test_mi_intervalindex_slicing_with_scalar(self):
)
expected = Series([1, 6, 2, 8, 7], index=expected_index, name="value")
tm.assert_series_equal(result, expected)

@pytest.mark.parametrize(
"base, expected_result",
[
(10, Series([np.nan, 0], index=[np.nan, 1.0], dtype=np.float64)),
(100, Series([np.nan, 0], index=[np.nan, 1.0], dtype=np.float64)),
(101, Series([np.nan, 0], index=[np.nan, 1.0], dtype=np.float64)),
(1010, Series([np.nan, 0], index=[np.nan, 1.0], dtype=np.float64)),
],
)
def test_interval_index_reindex_behavior(self, base, expected_result):
# GH 51826
left = np.arange(base)
right = np.arange(1, base + 1)
d = Series(range(base), index=IntervalIndex.from_arrays(left, right))
result = d.reindex(index=[np.nan, 1.0])
tm.assert_series_equal(result, expected_result)