BUG: Fix return type of loc/iloc

pandas/core/indexing.py

@@ -1066,8 +1066,14 @@ def _getitem_lowerdim(self, tup: tuple):
 
         tup = self._validate_key_length(tup)
 
-        for i, key in enumerate(tup):
-            if is_label_like(key):
+        # Reverse tuple so that we are indexing along columns before rows
+        # and avoid unintended dtype inference. # GH60600
+        if any(isinstance(ax, MultiIndex) for ax in self.obj.axes):
+            enum = enumerate(tup)
+        else:
+            enum = zip(range(len(tup) - 1, -1, -1), reversed(tup))
+        for i, key in enum:
+            if is_label_like(key) or is_list_like(key):
                 # We don't need to check for tuples here because those are
                 #  caught by the _is_nested_tuple_indexer check above.
                 section = self._getitem_axis(key, axis=i)

pandas/tests/indexing/test_loc.py

@@ -60,6 +60,14 @@ def test_not_change_nan_loc(series, new_series, expected_ser):
     tm.assert_frame_equal(df.notna(), ~expected)
 
 
+def test_loc_dtype():
+    # GH 60600
+    df = DataFrame([["a", 1.0, 2.0], ["b", 3.0, 4.0]])
+    result = df.loc[0, [1, 2]]
+    expected = df[[1, 2]].loc[0]
+    tm.assert_series_equal(result, expected)
+
+
 class TestLoc:
     def test_none_values_on_string_columns(self, using_infer_string):
         # Issue #32218
@@ -807,7 +815,7 @@ def test_loc_setitem_frame_mixed_labels(self):
 
         result = df.loc[0, [1, 2]]
         expected = Series(
-            [1, 3], index=Index([1, 2], dtype=object), dtype=object, name=0
+            [1, 3], index=Index([1, 2], dtype=object), dtype="int64", name=0
         )
         tm.assert_series_equal(result, expected)