Try except

Author: dsaxton

pandas/core/indexes/datetimes.py

@@ -7,6 +7,7 @@
 
 from pandas._libs import NaT, Period, Timestamp, index as libindex, lib, tslib as libts
 from pandas._libs.tslibs import fields, parsing, timezones
+from pandas._libs.tslibs.np_datetime import OutOfBoundsDatetime
 from pandas._typing import DtypeObj, Label
 from pandas.util._decorators import cache_readonly
 
@@ -540,7 +541,10 @@ def _validate_partial_date_slice(self, reso: str):
 
     def _maybe_promote(self, other):
         if other.inferred_type == "date":
-            other = DatetimeIndex(other)
+            try:
+                other = DatetimeIndex(other)
+            except OutOfBoundsDatetime:
+                pass
         return self, other
 
     def get_loc(self, key, method=None, tolerance=None):

pandas/tests/indexes/datetimes/test_indexing.py

@@ -563,6 +563,22 @@ def test_get_indexer_mixed_dtypes(self, target):
         expected = np.array([0, 1], dtype=np.intp)
         tm.assert_numpy_array_equal(result, expected)
 
+    @pytest.mark.parametrize(
+        "target, positions",
+        [
+            ([date(9999, 1, 1), pd.Timestamp("2020-01-01")], [-1, 0]),
+            ([pd.Timestamp("2020-01-01"), date(9999, 1, 1)], [0, -1]),
+            ([date(9999, 1, 1), date(9999, 1, 1)], [-1, -1]),
+        ],
+    )
+    def test_get_indexer_out_of_bounds_date(self, target, positions):
+        values = pd.DatetimeIndex(
+            [pd.Timestamp("2020-01-01"), pd.Timestamp("2020-01-02")]
+        )
+        result = values.get_indexer(target)
+        expected = np.array(positions, dtype=np.intp)
+        tm.assert_numpy_array_equal(result, expected)
+
 
 class TestMaybeCastSliceBound:
     def test_maybe_cast_slice_bounds_empty(self):