TST: remove some deprecation warnings (pandas-dev#17870)

Author: jreback

pandas/io/html.py

@@ -759,7 +759,7 @@ def _parse(flavor, io, match, attrs, encoding, **kwargs):
 
 def read_html(io, match='.+', flavor=None, header=None, index_col=None,
               skiprows=None, attrs=None, parse_dates=False,
-              tupleize_cols=False, thousands=',', encoding=None,
+              tupleize_cols=None, thousands=',', encoding=None,
               decimal='.', converters=None, na_values=None,
               keep_default_na=True):
     r"""Read HTML tables into a ``list`` of ``DataFrame`` objects.
@@ -828,6 +828,9 @@ def read_html(io, match='.+', flavor=None, header=None, index_col=None,
         :class:`~pandas.MultiIndex`, otherwise return raw tuples. Defaults to
         ``False``.
 
+        .. deprecated:: 0.21.0
+           This argument will be removed and will always convert to MultiIndex
+
     thousands : str, optional
         Separator to use to parse thousands. Defaults to ``','``.
 

pandas/tests/indexes/test_multi.py

@@ -458,7 +458,7 @@ def test_set_value_keeps_names(self):
         df = df.sort_index()
         assert df.is_copy is None
         assert df.index.names == ('Name', 'Number')
-        df = df.set_value(('grethe', '4'), 'one', 99.34)
+        df.at[('grethe', '4'), 'one'] = 99.34
         assert df.is_copy is None
         assert df.index.names == ('Name', 'Number')
 

pandas/tests/plotting/test_frame.py

@@ -2835,7 +2835,7 @@ def test_plain_axes(self):
         Series(rand(10)).plot(ax=cax)
 
         fig, ax = self.plt.subplots()
-        from mpl_toolkits.axes_grid.inset_locator import inset_axes
+        from mpl_toolkits.axes_grid1.inset_locator import inset_axes
         iax = inset_axes(ax, width="30%", height=1., loc=3)
         Series(rand(10)).plot(ax=ax)
         Series(rand(10)).plot(ax=iax)

pandas/tests/plotting/test_misc.py

@@ -204,7 +204,6 @@ def test_parallel_coordinates(self):
     def test_parallel_coordinates_with_sorted_labels(self):
         """ For #15908 """
         from pandas.plotting import parallel_coordinates
-
         df = DataFrame({"feat": [i for i in range(30)],
                         "class": [2 for _ in range(10)] +
                         [3 for _ in range(10)] +

pandas/tests/reshape/test_merge.py

@@ -1546,6 +1546,7 @@ def test_dtype_on_categorical_dates(self):
         result_inner = pd.merge(df, df2, how='inner', on=['date'])
         assert_frame_equal(result_inner, expected_inner)
 
+    @pytest.mark.parametrize('ordered', [True, False])
     @pytest.mark.parametrize('category_column,categories,expected_categories',
                              [([False, True, True, False], [True, False],
                                [True, False]),
@@ -1554,20 +1555,19 @@ def test_dtype_on_categorical_dates(self):
                                ['True', 'False'], ['True', 'False'])])
     def test_merging_with_bool_or_int_cateorical_column(self, category_column,
                                                         categories,
-                                                        expected_categories):
+                                                        expected_categories,
+                                                        ordered):
         # GH 17187
         # merging with a boolean/int categorical column
         df1 = pd.DataFrame({'id': [1, 2, 3, 4],
                             'cat': category_column})
-        df1['cat'] = df1['cat'].astype('category',
-                                       categories=categories, ordered=True)
+        df1['cat'] = df1['cat'].astype(CDT(categories, ordered=ordered))
         df2 = pd.DataFrame({'id': [2, 4], 'num': [1, 9]})
         result = df1.merge(df2)
         expected = pd.DataFrame({'id': [2, 4], 'cat': expected_categories,
                                  'num': [1, 9]})
-        expected['cat'] = expected['cat'].astype('category',
-                                                 categories=categories,
-                                                 ordered=True)
+        expected['cat'] = expected['cat'].astype(
+            CDT(categories, ordered=ordered))
         assert_frame_equal(expected, result)
 
 

pandas/tests/test_categorical.py

@@ -3592,7 +3592,7 @@ def test_slicing_and_getting_ops(self):
         tm.assert_frame_equal(res_fancy, exp_fancy)
 
         # get_value
-        res_val = df.get_value("j", "cats")
+        res_val = df.at["j", "cats"]
         assert res_val == exp_val
 
         # i : int, slice, or sequence of integers
@@ -3956,12 +3956,12 @@ def f():
 
         # set_value
         df = orig.copy()
-        df.set_value("j", "cats", "b")
+        df.at["j", "cats"] = "b"
         tm.assert_frame_equal(df, exp_single_cats_value)
 
         def f():
             df = orig.copy()
-            df.set_value("j", "cats", "c")
+            df.at["j", "cats"] = "c"
 
         pytest.raises(ValueError, f)
 

pandas/tests/test_panel.py

@@ -1451,14 +1451,14 @@ def test_reindex_axis_style(self):
             expected1 = Panel(panel.values).iloc[:, [0, 1]]
             expected2 = Panel(panel.values).iloc[:, :, [0, 1]]
 
-        result = panel.reindex([0, 1], axis=0)
-        assert_panel_equal(result, expected0)
+            result = panel.reindex([0, 1], axis=0)
+            assert_panel_equal(result, expected0)
 
-        result = panel.reindex([0, 1], axis=1)
-        assert_panel_equal(result, expected1)
+            result = panel.reindex([0, 1], axis=1)
+            assert_panel_equal(result, expected1)
 
-        result = panel.reindex([0, 1], axis=2)
-        assert_panel_equal(result, expected2)
+            result = panel.reindex([0, 1], axis=2)
+            assert_panel_equal(result, expected2)
 
     def test_reindex_multi(self):
         with catch_warnings(record=True):

pandas/tests/test_panel4d.py

@@ -563,8 +563,8 @@ def test_get_value(self):
             for item in self.panel4d.items:
                 for mjr in self.panel4d.major_axis[::2]:
                     for mnr in self.panel4d.minor_axis:
-                        result = self.panel4d.get_value(
-                            label, item, mjr, mnr)
+                        result = self.panel4d.loc[
+                            label, item, mjr, mnr]
                         expected = self.panel4d[label][item][mnr][mjr]
                         assert_almost_equal(result, expected)