Reverse indexing order

Author: sanggon6107

pandas/core/indexing.py

@@ -1068,11 +1068,7 @@ def _getitem_lowerdim(self, tup: tuple):
 
         # 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:
+        for i, key in zip(range(len(tup) - 1, -1, -1), reversed(tup)):
             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.

pandas/tests/indexing/multiindex/test_loc.py

@@ -757,7 +757,7 @@ def test_missing_keys_raises_keyerror(self):
         df = DataFrame(np.arange(12).reshape(4, 3), columns=["A", "B", "C"])
         df2 = df.set_index(["A", "B"])
 
-        with pytest.raises(KeyError, match="1"):
+        with pytest.raises(KeyError, match="6"):
             df2.loc[(1, 6)]
 
     def test_missing_key_raises_keyerror2(self):

pandas/tests/indexing/test_loc.py

@@ -449,7 +449,7 @@ def test_loc_to_fail(self):
 
         msg = (
             rf"\"None of \[Index\(\[1, 2\], dtype='{np.dtype(int)}'\)\] are "
-            r"in the \[index\]\""
+            r"in the \[columns\]\""
         )
         with pytest.raises(KeyError, match=msg):
             df.loc[[1, 2], [1, 2]]