BUG: Remove special-casing for Python date objects in DatetimeIndex

Author: Aniketsy

pandas/tests/frame/indexing/test_indexing.py

@@ -7,6 +7,7 @@
 import re
 
 import numpy as np
+import pyarrow as pa
 import pytest
 
 from pandas._libs import iNaT
@@ -1887,6 +1888,10 @@ def test_datetime_indexer_consistency_pyarrow_date32():
     ser3 = ser.astype("datetime64[ns]")
     dti = Index(ser3)
 
+    # Make sure we don't treat Arrow date as timestamp
+    dtype = ser.dtype.arrow_dtype
+    assert not (dtype.kind == "M" and not pa.types.is_date(dtype))
+
     with pytest.raises(KeyError):
         dti.get_loc(ser[0])
 

pandas/tests/series/test_arithmetic.py

@@ -758,6 +758,8 @@ def test_datetime_understood(self, unit):
         tm.assert_series_equal(result, expected)
 
     def test_align_date_objects_with_datetimeindex(self):
+        # GH#62158: v3.0.0 - DatetimeIndex no longer matches Python date labels.
+        # The result is always all-NaN and the union index.
         rng = date_range("1/1/2000", periods=20)
         ts = Series(np.random.default_rng(2).standard_normal(20), index=rng)
 
@@ -769,7 +771,7 @@ def test_align_date_objects_with_datetimeindex(self):
         result2 = ts2 + ts
 
         date_labels = [x.date() for x in rng[5:]]
-        expected_index = Index(date_labels + list(rng), dtype=object)
+        expected_index = Index(list(rng) + date_labels, dtype=object)
 
         # Length and index checks
         assert len(result) == 35