Don't check stacklevel on tests.

This code can be reached from multiple places. Keeping up with the
stacklevel seems like overkill here.

Author: jseabold

pandas/tests/groupby/test_grouping.py

@@ -698,7 +698,8 @@ def test_default_observed_deprecated(self):
         df.x = df.x.astype('category')
         df.y = df.x.astype('category')
 
-        with tm.assert_produces_warning(expected_warning=FutureWarning):
+        with tm.assert_produces_warning(expected_warning=FutureWarning,
+                                        check_stacklevel=False):
             df.groupby(['x', 'y'])
 
         with pytest.warns(None) as any_warnings:
@@ -708,7 +709,8 @@ def test_default_observed_deprecated(self):
 
         cat = pd.Categorical(['A', 'B', 'C'], categories=['A', 'B', 'C', 'D'])
         s = Series(cat)
-        with tm.assert_produces_warning(expected_warning=FutureWarning):
+        with tm.assert_produces_warning(expected_warning=FutureWarning,
+                                        check_stacklevel=False):
             s.groupby(cat)
 
 

pandas/tests/reshape/test_pivot.py

@@ -2077,7 +2077,8 @@ def agg(l):
             foo.pivot_table("notpresent", "X", "Y", aggfunc=agg)
 
     def test_pivot_table_observed_deprecated_default(self):
-        with tm.assert_produces_warning(FutureWarning):
+        with tm.assert_produces_warning(FutureWarning,
+                                        check_stacklevel=False):
             # make sure we actually have a category to warn on
             self.data.A = self.data.A.astype('category')
             self.data.pivot_table(values="D", index=["A", "B"],