fix doc build

doc/source/whatsnew/v2.1.0.rst

@@ -147,13 +147,14 @@ Now user-defined functions in :meth:`Series.agg` will always be passed the whole
 *New behavior*:
 
 .. ipython:: python
+   :okexcept:
 
-    ser = pd.Series([1, 2, 3])
-    ser.agg(lambda x: np.sum(x, where=True))  # fails, as it should
-    ser.agg(type)
-    ser.agg(type) == ser.to_frame().agg(type)[0]
+   ser = pd.Series([1, 2, 3])
+   ser.agg(lambda x: np.sum(x, where=True))  # fails, as it should
+   ser.agg(type)
+   ser.agg(type) == ser.to_frame().agg(type)[0]
 
-More generally, the result from :meth:`Series.agg` will now always be the same as the single-column result from :meth:`DataFrame.agg` (:issue:`53324`).
+More generally, the result from :meth:`Series.agg` will now always be the same as the single-column result from :meth:`DataFrame.agg` (:issue:`53325`).
 
 
 .. _whatsnew_210.notable_bug_fixes.notable_bug_fix2:

pandas/tests/apply/test_series_apply.py

@@ -392,6 +392,7 @@ def test_apply_map_evaluate_lambdas_the_same(string_series, func, by_row):
 
 
 def test_agg_evaluate_lambdas(string_series):
+    # GH53325
     expected = Series
 
     result = string_series.agg(lambda x: type(x))