Removed unused freq arg from test case

Author: WillAyd

pandas/tests/groupby/test_groupby.py

@@ -2141,25 +2141,23 @@ def test_groupby_bool_aggs(self, agg_func, skipna, vals):
         result = getattr(df.groupby('key'), agg_func)(skipna=skipna)
         assert_frame_equal(result, exp_df)
 
-    @pytest.mark.parametrize("periods,fill_method,limit,freq", [
-        (1, 'ffill', None, None), (1, 'ffill', 1, None),
-        (1, 'bfill', None, None), (1, 'bfill', 1, None),
-        (-1, 'ffill', None, None), (-1, 'ffill', 1, None),
-        (-1, 'bfill', None, None), (-1, 'bfill', 1, None)])
-    def test_pct_change(self, periods, fill_method, limit, freq):
+    @pytest.mark.parametrize("periods,fill_method,limit", [
+        (1, 'ffill', None), (1, 'ffill', 1),
+        (1, 'bfill', None), (1, 'bfill', 1),
+        (-1, 'ffill', None), (-1, 'ffill', 1),
+        (-1, 'bfill', None), (-1, 'bfill', 1)])
+    def test_pct_change(self, periods, fill_method, limit):
         vals = [np.nan, np.nan, 1, 2, 4, 10, np.nan, np.nan]
         exp_vals = Series(vals).pct_change(periods=periods,
                                           fill_method=fill_method,
-                                          limit=limit,
-                                          freq=freq).tolist()
+                                          limit=limit).tolist()
 
         df = DataFrame({'key': ['a'] * len(vals) + ['b'] * len(vals),
                         'vals': vals * 2})
         exp = DataFrame({'vals': exp_vals * 2})
         result = df.groupby('key').pct_change(periods=periods,
                                               fill_method=fill_method,
-                                              limit=limit,
-                                              freq=freq)
+                                              limit=limit)
 
         tm.assert_frame_equal(result, exp)