add FutureWarning. Avoid Int64Index

Author: Dr-Irv

pandas/tests/groupby/aggregate/test_cython.py

@@ -97,7 +97,8 @@ def test_cython_agg_nothing_to_agg():
 
     frame = DataFrame({"a": np.random.randint(0, 5, 50), "b": ["foo", "bar"] * 25})
 
-    result = frame[["b"]].groupby(frame["a"]).mean()
+    with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
+        result = frame[["b"]].groupby(frame["a"]).mean()
     expected = DataFrame([], index=frame["a"].sort_values().drop_duplicates())
     tm.assert_frame_equal(result, expected)
 

pandas/tests/groupby/test_groupby.py

@@ -14,7 +14,6 @@
     DataFrame,
     Grouper,
     Index,
-    Int64Index,
     MultiIndex,
     RangeIndex,
     Series,
@@ -2427,7 +2426,7 @@ def test_groupby_aggregation_multi_non_numeric_dtype():
             "y": [Timedelta(i, "days") for i in range(7, 9)],
             "z": [Timedelta(i * 10, "days") for i in range(7, 9)],
         },
-        index=Int64Index([0, 1], dtype="int64", name="x"),
+        index=Index([0, 1], dtype="int64", name="x"),
     )
 
     gb = df.groupby(by=["x"])
@@ -2447,7 +2446,7 @@ def test_groupby_aggregation_numeric_with_non_numeric_dtype():
 
     expected = DataFrame(
         {"z": [7, 8]},
-        index=Int64Index([0, 1], dtype="int64", name="x"),
+        index=Index([0, 1], dtype="int64", name="x"),
     )
 
     gb = df.groupby(by=["x"])