Error raised message: DataFrame eval will not work with 'Timestamp' column name

pandas/core/computation/ops.py

@@ -407,6 +407,13 @@ def __call__(self, env):
             The result of an evaluated expression.
         """
         # recurse over the left/right nodes
+        error_msg = 'Column name "{}" cannot be supported'
+        if str(self.lhs) in env.scope and isinstance(env.scope[str(self.lhs)], type):
+            raise NameError(error_msg.format(self.lhs))
+
+        if str(self.rhs) in env.scope and isinstance(env.scope[str(self.rhs)], type):
+            raise NameError(error_msg.format(self.rhs))
+
         left = self.lhs(env)
         right = self.rhs(env)
 

pandas/tests/computation/test_eval.py

@@ -1890,6 +1890,34 @@ def test_negate_lt_eq_le(engine, parser):
         tm.assert_frame_equal(result, expected)
 
 
+@pytest.mark.parametrize("column", ["Timestamp", "datetime"])
+def test_eval_no_support_column_name(engine, parser, column):
+    if engine == "numexpr":
+        error_msg = "unknown type object"
+        with pytest.raises(ValueError, match=error_msg):
+            df = DataFrame(
+                np.random.randint(0, 100, size=(10, 2)), columns=[column, "col1"]
+            )
+            pd.eval(
+                f"{column}>6",
+                local_dict={"df": df},
+                engine=engine,
+                parser=parser,
+            )
+    else:
+        error_msg = f'Column name "{column}" cannot be supported'
+        with pytest.raises(NameError, match=error_msg):
+            df = DataFrame(
+                np.random.randint(0, 100, size=(10, 2)), columns=[column, "col1"]
+            )
+            pd.eval(
+                f"{column}>6",
+                local_dict={"df": df},
+                engine=engine,
+                parser=parser,
+            )
+
+
 class TestValidate:
     @pytest.mark.parametrize("value", [1, "True", [1, 2, 3], 5.0])
     def test_validate_bool_args(self, value):