Series.align with MultiIndex may be inverted

Author: sinhrks

doc/source/whatsnew/v0.17.0.txt

@@ -603,6 +603,8 @@ Bug Fixes
 - Bug in line and kde plot cannot accept multiple colors when ``subplots=True`` (:issue:`9894`)
 - Bug in ``DataFrame.plot`` raises ``ValueError`` when color name is specified by multiple characters (:issue:`10387`)
 
+- Bug in left and right ``align`` of ``Series`` with ``MultiIndex`` may be inverted (:issue:`10665`)
+- Bug in left and right ``join`` of with ``MultiIndex`` may be inverted (:issue:`10741`)
 
 - Bug in ``read_stata`` when reading a file with a different order set in ``columns`` (:issue:`10757`)
 

pandas/core/index.py

@@ -2156,6 +2156,8 @@ def _join_multi(self, other, how, return_indexers=True):
             if self_is_mi:
                 self, other = other, self
                 flip_order = True
+                # flip if join method is right or left
+                how = {'right': 'left', 'left': 'right'}.get(how, how)
 
             level = other.names.index(jl)
             result = self._join_level(other, level, how=how,

pandas/tests/test_frame.py

@@ -4749,6 +4749,33 @@ def test_join_str_datetime(self):
 
         self.assertEqual(len(tst.columns), 3)
 
+    def test_join_multiindex_leftright(self):
+        # GH 10741
+        df1 = pd.DataFrame([['a', 'x', 0.471780], ['a','y', 0.774908],
+                            ['a', 'z', 0.563634], ['b', 'x', -0.353756],
+                            ['b', 'y', 0.368062], ['b', 'z', -1.721840],
+                            ['c', 'x', 1], ['c', 'y', 2], ['c', 'z', 3]],
+                           columns=['first', 'second', 'value1']).set_index(['first', 'second'])
+        df2 = pd.DataFrame([['a', 10], ['b', 20]], columns=['first', 'value2']).set_index(['first'])
+
+        exp = pd.DataFrame([[0.471780, 10], [0.774908, 10], [0.563634, 10],
+                            [-0.353756, 20], [0.368062, 20], [-1.721840, 20],
+                            [1.000000, np.nan], [2.000000, np.nan], [3.000000, np.nan]],
+                           index=df1.index, columns=['value1', 'value2'])
+
+        # these must be the same results (but columns are flipped)
+        tm.assert_frame_equal(df1.join(df2, how='left'), exp)
+        tm.assert_frame_equal(df2.join(df1, how='right'), exp[['value2', 'value1']])
+
+        exp_idx = pd.MultiIndex.from_product([['a', 'b'], ['x', 'y', 'z']],
+                                             names=['first', 'second'])
+        exp = pd.DataFrame([[0.471780, 10], [0.774908, 10], [0.563634, 10],
+                            [-0.353756, 20], [0.368062, 20], [-1.721840, 20]],
+                           index=exp_idx, columns=['value1', 'value2'])
+
+        tm.assert_frame_equal(df1.join(df2, how='right'), exp)
+        tm.assert_frame_equal(df2.join(df1, how='left'), exp[['value2', 'value1']])
+
     def test_from_records_sequencelike(self):
         df = DataFrame({'A' : np.array(np.random.randn(6), dtype = np.float64),
                         'A1': np.array(np.random.randn(6), dtype = np.float64),
@@ -9895,6 +9922,39 @@ def test_align_int_fill_bug(self):
         expected = df2 - df2.mean()
         assert_frame_equal(result, expected)
 
+    def test_align_multiindex(self):
+        # GH 10665
+        # same test cases as test_align_multiindex in test_series.py
+
+        midx = pd.MultiIndex.from_product([range(2), range(3), range(2)],
+                                 names=('a', 'b', 'c'))
+        idx = pd.Index(range(2), name='b')
+        df1 = pd.DataFrame(np.arange(12), index=midx)
+        df2 = pd.DataFrame(np.arange(2), index=idx)
+
+        # these must be the same results (but flipped)
+        res1l, res1r = df1.align(df2, join='left')
+        res2l, res2r = df2.align(df1, join='right')
+
+        expl = df1
+        tm.assert_frame_equal(expl, res1l)
+        tm.assert_frame_equal(expl, res2r)
+        expr = pd.DataFrame([0, 0, 1, 1, np.nan, np.nan] * 2, index=midx)
+        tm.assert_frame_equal(expr, res1r)
+        tm.assert_frame_equal(expr, res2l)
+
+        res1l, res1r = df1.align(df2, join='right')
+        res2l, res2r = df2.align(df1, join='left')
+
+        exp_idx = pd.MultiIndex.from_product([range(2), range(2), range(2)],
+                                             names=('a', 'b', 'c'))
+        expl = pd.DataFrame([0, 1, 2, 3, 6, 7, 8, 9], index=exp_idx)
+        tm.assert_frame_equal(expl, res1l)
+        tm.assert_frame_equal(expl, res2r)
+        expr = pd.DataFrame([0, 0, 1, 1] * 2, index=exp_idx)
+        tm.assert_frame_equal(expr, res1r)
+        tm.assert_frame_equal(expr, res2l)
+
     def test_where(self):
         default_frame = DataFrame(np.random.randn(5, 3),columns=['A','B','C'])
 

pandas/tests/test_index.py

@@ -4589,6 +4589,37 @@ def test_join_self(self):
             joined = res.join(res, how=kind)
             self.assertIs(res, joined)
 
+    def test_join_multi(self):
+        # GH 10665
+        midx = pd.MultiIndex.from_product([np.arange(4), np.arange(4)], names=['a', 'b'])
+        idx = pd.Index([1, 2, 5], name='b')
+
+        # inner
+        jidx, lidx, ridx = midx.join(idx, how='inner', return_indexers=True)
+        exp_idx = pd.MultiIndex.from_product([np.arange(4), [1, 2]], names=['a', 'b'])
+        exp_lidx = np.array([1, 2, 5, 6, 9, 10, 13, 14])
+        exp_ridx = np.array([0, 1, 0, 1, 0, 1, 0, 1])
+        self.assert_index_equal(jidx, exp_idx)
+        self.assert_numpy_array_equal(lidx, exp_lidx)
+        self.assert_numpy_array_equal(ridx, exp_ridx)
+        # flip
+        jidx, ridx, lidx = idx.join(midx, how='inner', return_indexers=True)
+        self.assert_index_equal(jidx, exp_idx)
+        self.assert_numpy_array_equal(lidx, exp_lidx)
+        self.assert_numpy_array_equal(ridx, exp_ridx)
+
+        # keep MultiIndex
+        jidx, lidx, ridx = midx.join(idx, how='left', return_indexers=True)
+        exp_ridx = np.array([-1, 0, 1, -1, -1, 0, 1, -1, -1, 0, 1, -1, -1, 0, 1, -1])
+        self.assert_index_equal(jidx, midx)
+        self.assertIsNone(lidx)
+        self.assert_numpy_array_equal(ridx, exp_ridx)
+        # flip
+        jidx, ridx, lidx = idx.join(midx, how='right', return_indexers=True)
+        self.assert_index_equal(jidx, midx)
+        self.assertIsNone(lidx)
+        self.assert_numpy_array_equal(ridx, exp_ridx)
+
     def test_reindex(self):
         result, indexer = self.index.reindex(list(self.index[:4]))
         tm.assertIsInstance(result, MultiIndex)

pandas/tests/test_series.py

@@ -6288,6 +6288,38 @@ def test_align_sameindex(self):
         # self.assertIsNot(a.index, self.ts.index)
         # self.assertIsNot(b.index, self.ts.index)
 
+    def test_align_multiindex(self):
+        # GH 10665
+
+        midx = pd.MultiIndex.from_product([range(2), range(3), range(2)],
+                                 names=('a', 'b', 'c'))
+        idx = pd.Index(range(2), name='b')
+        s1 = pd.Series(np.arange(12), index=midx)
+        s2 = pd.Series(np.arange(2), index=idx)
+
+        # these must be the same results (but flipped)
+        res1l, res1r = s1.align(s2, join='left')
+        res2l, res2r = s2.align(s1, join='right')
+
+        expl = s1
+        tm.assert_series_equal(expl, res1l)
+        tm.assert_series_equal(expl, res2r)
+        expr = pd.Series([0, 0, 1, 1, np.nan, np.nan] * 2, index=midx)
+        tm.assert_series_equal(expr, res1r)
+        tm.assert_series_equal(expr, res2l)
+
+        res1l, res1r = s1.align(s2, join='right')
+        res2l, res2r = s2.align(s1, join='left')
+
+        exp_idx = pd.MultiIndex.from_product([range(2), range(2), range(2)],
+                                             names=('a', 'b', 'c'))
+        expl = pd.Series([0, 1, 2, 3, 6, 7, 8, 9], index=exp_idx)
+        tm.assert_series_equal(expl, res1l)
+        tm.assert_series_equal(expl, res2r)
+        expr = pd.Series([0, 0, 1, 1] * 2, index=exp_idx)
+        tm.assert_series_equal(expr, res1r)
+        tm.assert_series_equal(expr, res2l)
+
     def test_reindex(self):
 
         identity = self.series.reindex(self.series.index)