Test cleanpu

Author: TomAugspurger

pandas/core/internals.py

@@ -3473,7 +3473,7 @@ def apply(self, f, axes=None, filter=None, do_integrity_check=False,
         else:
             align_keys = []
 
-        # TODO: may interfere with ExtensionBlock.setitem for blocks
+        # TODO(EA): may interfere with ExtensionBlock.setitem for blocks
         # with a .values attribute.
         aligned_args = dict((k, kwargs[k])
                             for k in align_keys

pandas/tests/extension/base.py

@@ -398,17 +398,12 @@ def test_isna(self, data_missing):
         expected = pd.Series(expected)
         tm.assert_series_equal(result, expected)
 
-    def test_dropna(self, data_missing):
-        result = pd.Series(data_missing).dropna()
-        expected = pd.Series(data_missing).iloc[[1]]
-        tm.assert_series_equal(result, expected)
-
     def test_align(self, data):
         a = data[:3]
         b = data[2:5]
         r1, r2 = pd.Series(a).align(pd.Series(b, index=[1, 2, 3]))
 
-        # TODO: assumes that the ctor can take a list of scalars of the type
+        # Assumes that the ctor can take a list of scalars of the type
         e1 = pd.Series(type(data)(list(a) + [data._fill_value]))
         e2 = pd.Series(type(data)([data._fill_value] + list(b)))
         tm.assert_series_equal(r1, e1)

pandas/tests/extension/test_categorical.py

@@ -50,7 +50,6 @@ def test_align(self, data):
         b = data[2:5]
         r1, r2 = pd.Series(a).align(pd.Series(b, index=[1, 2, 3]))
 
-        # TODO: assumes that the ctor can take a list of scalars of the type
         e1 = pd.Series(type(data)(list(a) + [data._fill_value],
                                   dtype=data.dtype))
         e2 = pd.Series(type(data)([data._fill_value] + list(b),

pandas/tests/extension/test_json.py

@@ -133,43 +133,3 @@ def na_cmp(self):
     @pytest.mark.skip(reason="Unhashable")
     def test_value_counts(self, all_data, dropna):
         pass
-
-    # @pytest.mark.xfail(reason="Difficulty setting sized objects.")
-    # def test_set_scalar(self):
-    #     pass
-    #
-
-    @pytest.mark.xfail(reason="Difficulty setting sized objects.")
-    def test_set_loc_scalar_mixed(self):
-        # This fails on an np.ndarary(dict) call in _setitem_with_indexer
-        pass
-
-    # @pytest.mark.xfail(reason="Difficulty setting sized objects.")
-    # def test_set_loc_scalar_single(self):
-    #     pass
-    #
-
-    @pytest.mark.xfail(reason="Difficulty setting sized objects.")
-    def test_set_loc_scalar_multiple_homogoneous(self):
-        # This fails in _setitem_with_indexer with a
-        # ValueError: Must have equal len keys and value when setting with
-        # and iterable
-        pass
-
-    @pytest.mark.xfail(reason="Difficulty setting sized objects.")
-    def test_set_iloc_scalar_mixed(self):
-        # This fails in _setitem_with_indexer with a
-        # ValueError: Must have equal len keys and value when setting with an
-        # iterable
-        pass
-
-    # @pytest.mark.xfail(reason="Difficulty setting sized objects.")
-    # def test_set_iloc_scalar_single(self):
-    #     pass
-    #
-    @pytest.mark.xfail(reason="Difficulty setting sized objects.")
-    def test_set_iloc_scalar_multiple_homogoneous(self):
-        # this fails in _setitem_with_indexer with a
-        # ValueError: Must have equal len keys and value when setting with an
-        # iterable
-        pass