BUGFIX: fillNA for panel (ndim==3) Issue: 12624

closes pandas-dev#12624

Author: Xbar

doc/source/whatsnew/v0.18.1.txt

@@ -89,46 +89,17 @@ Bug Fixes
 ~~~~~~~~~
 
 - Bug in ``Period`` and ``PeriodIndex`` creation raises ``KeyError`` if ``freq="Minute"`` is specified. Note that "Minute" freq is deprecated in v0.17.0, and recommended to use ``freq="T"`` instead (:issue:`11854`)
-- Bug in ``Series`` construction with ``Categorical`` and ``dtype='category'`` is specified (:issue:`12574`)
-
-
-
-
-
-
-
 
+- Bug in ``Series`` construction with ``Categorical`` and ``dtype='category'`` is specified (:issue:`12574`)
 
+- BUG: Can't get period code with frequency alias 'minute' or 'Minute'
 
 - Bug in ``value_counts`` when ``normalize=True`` and ``dropna=True`` where nulls still contributed to the normalized count (:issue:`12558`)
 
-
-
-
-
-
-
-
-
-
-
-
 - Bug in ``CategoricalIndex.get_loc`` returns different result from regular ``Index`` (:issue:`12531`)
 
+- Bug in ``Panel.fillna()`` ignores ``inplace=True`` (:issue:`12633`)
 
-
-
-
-
-
-
-
-
-
-
-
-
-
-
+- BUG: Crosstab with margins=True ignoring dropna=True
 
 - Bug in ``pivot_table`` when ``margins=True`` and ``dropna=True`` where nulls still contributed to margin count (:issue:`12577`)

pandas/core/generic.py

@@ -3124,13 +3124,17 @@ def fillna(self, value=None, method=None, axis=None, inplace=False,
                 # fill in 2d chunks
                 result = dict([(col, s.fillna(method=method, value=value))
                                for col, s in self.iteritems()])
-                return self._constructor.from_dict(result).__finalize__(self)
+                new_obj = self._constructor.\
+                    from_dict(result).__finalize__(self)
+                new_data = new_obj._data
 
-            # 2d or less
-            method = mis._clean_fill_method(method)
-            new_data = self._data.interpolate(method=method, axis=axis,
-                                              limit=limit, inplace=inplace,
-                                              coerce=True, downcast=downcast)
+            else:
+                # 2d or less
+                method = mis._clean_fill_method(method)
+                new_data = self._data.interpolate(method=method, axis=axis,
+                                                  limit=limit, inplace=inplace,
+                                                  coerce=True,
+                                                  downcast=downcast)
         else:
             if method is not None:
                 raise ValueError('cannot specify both a fill method and value')

pandas/tests/test_panel.py

@@ -1528,6 +1528,24 @@ def test_fillna(self):
         p.iloc[0:2, 0:2, 0:2] = np.nan
         self.assertRaises(NotImplementedError, lambda: p.fillna(999, limit=1))
 
+        # Test in place fillNA
+        # Expected result
+        expected = Panel([[[0, 1], [2, 1]], [[10, 11], [12, 11]]],
+                         items=['a', 'b'], minor_axis=['x', 'y'],
+                         dtype=np.float64)
+        # method='ffill'
+        p1 = Panel([[[0, 1], [2, np.nan]], [[10, 11], [12, np.nan]]],
+                   items=['a', 'b'], minor_axis=['x', 'y'],
+                   dtype=np.float64)
+        p1.fillna(method='ffill', inplace=True)
+        assert_panel_equal(p1, expected)
+
+        # method='bfill'
+        p2 = Panel([[[0, np.nan], [2, 1]], [[10, np.nan], [12, 11]]],
+                   items=['a', 'b'], minor_axis=['x', 'y'], dtype=np.float64)
+        p2.fillna(method='bfill', inplace=True)
+        assert_panel_equal(p2, expected)
+
     def test_ffill_bfill(self):
         assert_panel_equal(self.panel.ffill(),
                            self.panel.fillna(method='ffill'))