Add test for wrong category type

Author: topper-123

pandas/core/indexes/base.py

@@ -2953,11 +2953,11 @@ def _convert_scalar_indexer(self, key, kind=None):
                     "unicode",
                     "mixed",
                 ]:
-                    return self._invalid_indexer("label", key)
+                    self._invalid_indexer("label", key)
 
             elif kind in ["loc"] and is_integer(key):
                 if not self.holds_integer():
-                    return self._invalid_indexer("label", key)
+                    self._invalid_indexer("label", key)
 
         return key
 

pandas/core/indexes/category.py

@@ -700,8 +700,7 @@ def _convert_scalar_indexer(self, key, kind=None):
             try:
                 return self.categories._convert_scalar_indexer(key, kind=kind)
             except TypeError:
-                self._invalid_indexer("label", key=key)
-
+                self._invalid_indexer("label", key)
         return super()._convert_scalar_indexer(key, kind=kind)
 
     @Appender(_index_shared_docs["_convert_list_indexer"])

pandas/tests/indexing/test_categorical.py

@@ -80,6 +80,13 @@ def test_loc_scalar(self):
         with pytest.raises(TypeError, match=msg):
             df.loc["d", "C"] = 10
 
+        msg = (
+            r"cannot do label indexing on <class 'pandas\.core\.indexes\.category"
+            r"\.CategoricalIndex'> with these indexers \[1\] of <class 'int'>"
+        )
+        with pytest.raises(TypeError, match=msg):
+            df.loc[1]
+
     def test_getitem_scalar(self):
 
         cats = Categorical([Timestamp("12-31-1999"), Timestamp("12-31-2000")])