API: Raise when setting name via level

doc/source/user_guide/advanced.rst

@@ -565,19 +565,15 @@ When working with an ``Index`` object directly, rather than via a ``DataFrame``,
    mi2 = mi.rename("new name", level=0)
    mi2
 
-.. warning::
 
-   Prior to pandas 1.0.0, you could also set the names of a ``MultiIndex``
-   by updating the name of a level.
+You cannot set the names of the MultiIndex via a level.
 
-   .. code-block:: none
+.. ipython:: python
+   :okexcept:
 
-      >>> mi.levels[0].name = 'name via level'
-      >>> mi.names[0]  # only works for older pandas
-      'name via level'
+   mi.levels[0].name = "name via level"
 
-   As of pandas 1.0, this will *silently* fail to update the names
-   of the MultiIndex. Use :meth:`Index.set_names` instead.
+Use :meth:`Index.set_names` instead.
 
 Sorting a ``MultiIndex``
 ------------------------

doc/source/whatsnew/v1.0.0.rst

@@ -255,10 +255,10 @@ For backwards compatibility, you can still *access* the names via the levels.
    mi.levels[0].name
 
 However, it is no longer possible to *update* the names of the ``MultiIndex``
-via the name of the level. The following will **silently** fail to update the
-name of the ``MultiIndex``
+via the level.
 
 .. ipython:: python
+   :okexcept:
 
    mi.levels[0].name = "new name"
    mi.names

pandas/core/indexes/base.py

@@ -240,6 +240,10 @@ def _outer_indexer(self, left, right):
     _data: Union[ExtensionArray, np.ndarray]
     _id = None
     _name: Optional[Hashable] = None
+    # MultiIndex.levels previously allowed setting the index name. We
+    # don't allow this anymore, and raise if it happens rather than
+    # failing silently.
+    _no_setting_name: bool = False
     _comparables = ["name"]
     _attributes = ["name"]
     _is_numeric_dtype = False
@@ -520,6 +524,7 @@ def _simple_new(cls, values, name=None, dtype=None):
         # we actually set this value too.
         result._index_data = values
         result._name = name
+        result._no_setting_name = False
 
         return result._reset_identity()
 
@@ -1214,6 +1219,12 @@ def name(self):
 
     @name.setter
     def name(self, value):
+        if self._no_setting_name:
+            # Used in MultiIndex.levels.
+            raise RuntimeError(
+                "Cannot set name on a level of a MultiIndex. Use "
+                "'MultiIndex.set_names' instead."
+            )
         maybe_extract_name(value, None, type(self))
         self._name = value
 

pandas/core/indexes/category.py

@@ -253,6 +253,7 @@ def _simple_new(cls, values, name=None, dtype=None, **kwargs):
             setattr(result, k, v)
 
         result._reset_identity()
+        result._no_setting_name = False
         return result
 
     # --------------------------------------------------------------------

pandas/core/indexes/datetimes.py

@@ -302,6 +302,7 @@ def _simple_new(cls, values, name=None, freq=None, tz=None, dtype=None):
         result = object.__new__(cls)
         result._data = dtarr
         result.name = name
+        result._no_setting_name = False
         # For groupby perf. See note in indexes/base about _index_data
         result._index_data = dtarr._data
         result._reset_identity()

pandas/core/indexes/interval.py

@@ -234,6 +234,7 @@ def _simple_new(cls, array, name, closed=None):
         result = IntervalMixin.__new__(cls)
         result._data = array
         result.name = name
+        result._no_setting_name = False
         result._reset_identity()
         return result
 

pandas/core/indexes/multi.py

@@ -628,6 +628,9 @@ def levels(self):
         result = [
             x._shallow_copy(name=name) for x, name in zip(self._levels, self._names)
         ]
+        for level in result:
+            # disallow midx.levels[0].name = "foo"
+            level._no_setting_name = True
         return FrozenList(result)
 
     @property

pandas/core/indexes/period.py

@@ -252,6 +252,7 @@ def _simple_new(cls, values, name=None, freq=None, **kwargs):
         # For groupby perf. See note in indexes/base about _index_data
         result._index_data = values._data
         result.name = name
+        result._no_setting_name = False
         result._reset_identity()
         return result
 

pandas/core/indexes/range.py

@@ -141,6 +141,7 @@ def _simple_new(cls, values, name=None, dtype=None):
 
         result._range = values
         result.name = name
+        result._no_setting_name = False
 
         result._reset_identity()
         return result

pandas/core/indexes/timedeltas.py

@@ -217,6 +217,7 @@ def _simple_new(cls, values, name=None, freq=None, dtype=_TD_DTYPE):
         result = object.__new__(cls)
         result._data = tdarr
         result._name = name
+        result._no_setting_name = False
         # For groupby perf. See note in indexes/base about _index_data
         result._index_data = tdarr._data
 

pandas/tests/indexes/multi/test_names.py

@@ -124,3 +124,12 @@ def test_get_names_from_levels():
 
     assert idx.levels[0].name == "a"
     assert idx.levels[1].name == "b"
+
+
+def test_setting_names_from_levels_raises():
+    idx = pd.MultiIndex.from_product([["a"], [1, 2]], names=["a", "b"])
+    with pytest.raises(RuntimeError, match="set_names"):
+        idx.levels[0].name = "foo"
+
+    with pytest.raises(RuntimeError, match="set_names"):
+        idx.levels[1].name = "foo"