REGR: SeriesGroupBy where index has a tuple name fails (pandas-dev#37801)

Author: rhshadrach

doc/source/whatsnew/v1.1.5.rst

@@ -15,6 +15,7 @@ including other versions of pandas.
 Fixed regressions
 ~~~~~~~~~~~~~~~~~
 - Regression in addition of a timedelta-like scalar to a :class:`DatetimeIndex` raising incorrectly (:issue:`37295`)
+- Fixed regression in :meth:`Series.groupby` raising when the :class:`Index` of the :class:`Series` had a tuple as its name (:issue:`37755`)
 -
 
 .. ---------------------------------------------------------------------------

pandas/core/series.py

@@ -900,7 +900,7 @@ def __getitem__(self, key):
 
                 return result
 
-            except KeyError:
+            except (KeyError, TypeError):
                 if isinstance(key, tuple) and isinstance(self.index, MultiIndex):
                     # We still have the corner case where a tuple is a key
                     # in the first level of our MultiIndex
@@ -964,7 +964,7 @@ def _get_values_tuple(self, key):
             return result
 
         if not isinstance(self.index, MultiIndex):
-            raise ValueError("key of type tuple not found and not a MultiIndex")
+            raise KeyError("key of type tuple not found and not a MultiIndex")
 
         # If key is contained, would have returned by now
         indexer, new_index = self.index.get_loc_level(key)
@@ -1020,7 +1020,7 @@ def __setitem__(self, key, value):
 
         except TypeError as err:
             if isinstance(key, tuple) and not isinstance(self.index, MultiIndex):
-                raise ValueError(
+                raise KeyError(
                     "key of type tuple not found and not a MultiIndex"
                 ) from err
 

pandas/tests/groupby/test_groupby.py

@@ -2146,3 +2146,13 @@ def test_groupby_duplicate_columns():
     result = df.groupby([0, 0, 0, 0]).min()
     expected = DataFrame([["e", "a", 1]], columns=["A", "B", "B"])
     tm.assert_frame_equal(result, expected)
+
+
+def test_groupby_series_with_tuple_name():
+    # GH 37755
+    ser = Series([1, 2, 3, 4], index=[1, 1, 2, 2], name=("a", "a"))
+    ser.index.name = ("b", "b")
+    result = ser.groupby(level=0).last()
+    expected = Series([2, 4], index=[1, 2], name=("a", "a"))
+    expected.index.name = ("b", "b")
+    tm.assert_series_equal(result, expected)

pandas/tests/series/indexing/test_indexing.py

@@ -327,9 +327,9 @@ def test_loc_setitem_2d_to_1d_raises():
 def test_basic_getitem_setitem_corner(datetime_series):
     # invalid tuples, e.g. td.ts[:, None] vs. td.ts[:, 2]
     msg = "key of type tuple not found and not a MultiIndex"
-    with pytest.raises(ValueError, match=msg):
+    with pytest.raises(KeyError, match=msg):
         datetime_series[:, 2]
-    with pytest.raises(ValueError, match=msg):
+    with pytest.raises(KeyError, match=msg):
         datetime_series[:, 2] = 2
 
     # weird lists. [slice(0, 5)] will work but not two slices