Added tests for all implementation

Author: WillAyd

pandas/tests/groupby/test_groupby.py

@@ -2117,25 +2117,33 @@ def interweave(list_obj):
             exp = DataFrame({'key': keys, 'val': _exp_vals})
             assert_frame_equal(result, exp)
 
+    @pytest.mark.parametrize("agg_func", ['any', 'all'])
     @pytest.mark.parametrize("skipna", [True, False])
-    @pytest.mark.parametrize("vals,exp", [
-        (['foo', 'bar', 'baz'], True), (['foo', '', ''], True),
-        (['', '', ''], False), ([1, 2, 3], True), ([1, 0, 0], True),
-        ([0, 0, 0], False), ([1., 2., 3.], True), ([1., 0., 0.], True),
-        ([0., 0., 0.], False), ([True, True, True], True),
-        ([True, False, False], True), ([False, False, False], False),
-        ([np.nan, np.nan, np.nan], False)
+    @pytest.mark.parametrize("vals", [
+        ['foo', 'bar', 'baz'], ['foo', '', ''], ['', '', ''],
+        [1, 2, 3], [1, 0, 0], [0, 0, 0],
+        [1., 2., 3.], [1., 0., 0.], [0., 0., 0.],
+        [True, True, True], [True, False, False], [False, False, False],
+        [np.nan, np.nan, np.nan]
     ])
-    def test_groupby_any(self, skipna, vals, exp):
+    def test_groupby_bool_aggs(self, agg_func, skipna, vals):
         df = DataFrame({'key': ['a'] * 3 + ['b'] * 3, 'val': vals * 2})
 
-        # edge case for missing data with skipna=False
-        if not(skipna) and all(isna(vals)):
-            exp = True
+        if compat.PY3:
+            import builtins as bltins
+        else:
+            import __builtins__ as bltins
+
+        # Figure out expectation using Python builtin
+        exp = getattr(bltins, agg_func)(vals)
+
+        # edge case for missing data with skipna and 'any'
+        if skipna and all(isna(vals)) and agg_func=='any':
+            exp = False
 
         exp_df = DataFrame([exp] * 2, columns=['val'], index=pd.Index(
             ['a', 'b'], name='key'))
-        result = df.groupby('key').any(skipna=skipna)
+        result = getattr(df.groupby('key'), agg_func)(skipna=skipna)
         assert_frame_equal(result, exp_df)
 
     def test_dont_clobber_name_column(self):