BUG: hack aroudn multiple level unstacking into hierarchical columns bug

Author: wesm

pandas/core/reshape.py

@@ -245,8 +245,11 @@ def _unstack_multiple(data, clocs):
     else:
         if isinstance(data.columns, MultiIndex):
             result = data
-            for val in clocs:
+            for i in range(len(clocs)):
+                val = clocs[i]
                 result = result.unstack(val)
+                clocs = [val if i > val else val - 1 for val in clocs]
+
             return result
 
         dummy = DataFrame(data.values, index=dummy_index,

pandas/tests/test_multilevel.py

@@ -882,6 +882,18 @@ def test_stack_unstack_multiple(self):
         expected = self.ymd.unstack(2).unstack(1).dropna(axis=1, how='all')
         assert_frame_equal(unstacked, expected.ix[:, unstacked.columns])
 
+    def test_unstack_multiple_hierarchical(self):
+        df = DataFrame(index=[[0, 0, 0, 0, 1, 1, 1, 1],
+                              [0, 0, 1, 1, 0, 0, 1, 1],
+                              [0, 1, 0, 1, 0, 1, 0, 1]],
+                       columns=[[0, 0, 1, 1], [0, 1, 0, 1]])
+
+        df.index.names = ['a', 'b', 'c']
+        df.columns.names = ['d', 'e']
+
+        # it works!
+        df.unstack(['b', 'c'])
+
     def test_groupby_transform(self):
         s = self.frame['A']
         grouper = s.index.get_level_values(0)