fixups

Author: rhshadrach

pandas/tests/apply/test_frame_apply.py

@@ -1290,13 +1290,10 @@ def test_non_callable_aggregates(how):
             "C": {"count": 2, "size": 3},
         }
     )
-    # if get_option("mode.new_udf_methods"):
-    #     expected = expected.T
 
     if get_option("new_udf_methods"):
         tm.assert_frame_equal(result2, expected)
-        expected1 = expected.T
-        tm.assert_frame_equal(result1, expected1)
+        tm.assert_frame_equal(result1, expected.T)
     else:
         tm.assert_frame_equal(result1, result2, check_like=True)
         tm.assert_frame_equal(result2, expected, check_like=True)

pandas/tests/apply/test_frame_apply_relabeling.py

@@ -11,7 +11,6 @@ def test_agg_relabel():
     # simplest case with one column, one func
     result = df.agg(foo=("B", "sum"))
     expected = pd.DataFrame({"B": [10]}, index=pd.Index(["foo"]))
-
     tm.assert_frame_equal(result, expected)
 
     # test on same column with different methods

pandas/tests/groupby/aggregate/test_aggregate.py

@@ -927,9 +927,6 @@ def test_multiindex_custom_func(func):
     }
     expected = DataFrame(expected_dict)
     expected.columns = df.columns
-    print(df)
-    print(result)
-    print(expected)
     tm.assert_frame_equal(result, expected)
 
 

pandas/tests/groupby/test_categorical.py

@@ -1477,9 +1477,6 @@ def test_groupby_agg_categorical_columns(func, expected_values):
     expected = DataFrame(
         {"value": expected_values}, index=Index([0, 1, 2], name="groups")
     )
-    print(df)
-    print(result)
-    print(expected)
     tm.assert_frame_equal(result, expected)
 
 

pandas/tests/groupby/test_groupby.py

@@ -670,9 +670,6 @@ def test_groupby_as_index_agg(df):
     result2 = grouped.agg({"C": np.mean, "D": np.sum})
     expected2 = grouped.mean()
     expected2["D"] = grouped.sum()["D"]
-    print(df)
-    print(result2)
-    print(expected2)
     tm.assert_frame_equal(result2, expected2)
 
     grouped = df.groupby("A", as_index=True)