BUG: DataFrame.groupby() interprets tuple as list of keys

closes pandas-dev#17979

Author: sfoo <[email protected]>
Author: Jeff Reback <[email protected]>

Closes pandas-dev#17996 from GuessWhoSamFoo/groupby_tuples and squashes the following commits:

afb0031 [Jeff Reback] TST: separate out grouping-type tests
c52b2a8 [sfoo] Moved notes to 0.22; created is_axis_multiindex var - pending internal use
fb52c1c [sfoo] Added whatsnew; checked match_axis_length
99ebc4e [sfoo] Cast groupby tuple as list when multiindex

Author: GuessWhoSamFoo

doc/source/whatsnew/v0.22.0.txt

@@ -88,6 +88,7 @@ Bug Fixes
 ~~~~~~~~~
 
 - Bug in ``pd.read_msgpack()`` with a non existent file is passed in Python 2 (:issue:`15296`)
+- Bug in ``DataFrame.groupby`` where key as tuple in a ``MultiIndex`` were interpreted as a list of keys (:issue:`17979`)
 
 Conversion
 ^^^^^^^^^^

pandas/core/groupby.py

@@ -2754,6 +2754,7 @@ def _get_grouper(obj, key=None, axis=0, level=None, sort=True,
 
     """
     group_axis = obj._get_axis(axis)
+    is_axis_multiindex = isinstance(obj._info_axis, MultiIndex)
 
     # validate that the passed single level is compatible with the passed
     # axis of the object
@@ -2814,7 +2815,9 @@ def _get_grouper(obj, key=None, axis=0, level=None, sort=True,
     elif isinstance(key, BaseGrouper):
         return key, [], obj
 
-    if not isinstance(key, (tuple, list)):
+    # when MultiIndex, allow tuple to be a key
+    if not isinstance(key, (tuple, list)) or \
+            (isinstance(key, tuple) and is_axis_multiindex):
         keys = [key]
         match_axis_length = False
     else:
@@ -2918,7 +2921,6 @@ def is_in_obj(gpr):
 
     # create the internals grouper
     grouper = BaseGrouper(group_axis, groupings, sort=sort, mutated=mutated)
-
     return grouper, exclusions, obj
 
 

pandas/tests/groupby/test_grouping.py

@@ -356,6 +356,25 @@ def test_multifunc_select_col_integer_cols(self):
         # it works!
         df.groupby(1, as_index=False)[2].agg({'Q': np.mean})
 
+    def test_groupby_multiindex_tuple(self):
+        # GH 17979
+        df = pd.DataFrame([[1, 2, 3, 4], [3, 4, 5, 6], [1, 4, 2, 3]],
+                          columns=pd.MultiIndex.from_arrays(
+                              [['a', 'b', 'b', 'c'],
+                               [1, 1, 2, 2]]))
+        expected = df.groupby([('b', 1)]).groups
+        result = df.groupby(('b', 1)).groups
+        tm.assert_dict_equal(expected, result)
+
+        df2 = pd.DataFrame([[1, 2, 3, 4], [3, 4, 5, 6], [1, 4, 2, 3]],
+                           columns=pd.MultiIndex.from_arrays(
+                               [['a', 'b', 'b', 'c'],
+                                ['d', 'd', 'e', 'e']]))
+        df2.groupby([('b', 'd')]).groups
+        expected = df.groupby([('b', 'd')]).groups
+        result = df.groupby(('b', 'd')).groups
+        tm.assert_dict_equal(expected, result)
+
     @pytest.mark.parametrize('sort', [True, False])
     def test_groupby_level(self, sort):
         # GH 17537