Series replace error (#59552)

* changed AttributeError to ValueError

* added test for replace method from dict_like to dict_like for a pd.Series

* added entry in whatsnew.rst

* Update doc/source/whatsnew/v3.0.0.rst

removed rst entry

Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>

* Update pandas/core/generic.py

Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>

* Update pandas/core/generic.py

Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>

* updated msg test function

* breaking line for 88 instead of 89 characters

---------

Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>

pandas/core/generic.py

@@ -7487,9 +7487,13 @@ def replace(
                 if inplace:
                     return None
                 return self.copy(deep=False)
-
             if is_dict_like(to_replace):
                 if is_dict_like(value):  # {'A' : NA} -> {'A' : 0}
+                    if isinstance(self, ABCSeries):
+                        raise ValueError(
+                            "to_replace and value cannot be dict-like for "
+                            "Series.replace"
+                        )
                     # Note: Checking below for `in foo.keys()` instead of
                     #  `in foo` is needed for when we have a Series and not dict
                     mapping = {

pandas/tests/series/methods/test_replace.py

@@ -496,6 +496,15 @@ def test_replace_only_one_dictlike_arg(self, fixed_now_ts):
         with pytest.raises(ValueError, match=msg):
             ser.replace(to_replace, value)
 
+    def test_replace_dict_like_with_dict_like(self):
+        # GH 59452
+        s = pd.Series([1, 2, 3, 4, 5])
+        to_replace = pd.Series([1])
+        value = pd.Series([75])
+        msg = "to_replace and value cannot be dict-like for Series.replace"
+        with pytest.raises(ValueError, match=msg):
+            s.replace(to_replace, value)
+
     def test_replace_extension_other(self, frame_or_series):
         # https://github.com/pandas-dev/pandas/issues/34530
         obj = frame_or_series(pd.array([1, 2, 3], dtype="Int64"))