TST: Make tests for groupby median/mean more strict on dtype (pandas-dev#44374)

Author: rhshadrach

pandas/tests/groupby/test_function.py

@@ -394,8 +394,7 @@ def test_median_empty_bins(observed):
 
     result = df.groupby(bins, observed=observed).median()
     expected = df.groupby(bins, observed=observed).agg(lambda x: x.median())
-    # TODO: GH 41137
-    tm.assert_frame_equal(result, expected, check_dtype=False)
+    tm.assert_frame_equal(result, expected)
 
 
 @pytest.mark.parametrize(

pandas/tests/resample/test_datetime_index.py

@@ -1692,8 +1692,6 @@ def f(data, add_arg):
     df = DataFrame({"A": 1, "B": 2}, index=date_range("2017", periods=10))
     result = df.groupby("A").resample("D").agg(f, multiplier).astype(float)
     expected = df.groupby("A").resample("D").mean().multiply(multiplier)
-    # TODO: GH 41137
-    expected = expected.astype("float64")
     tm.assert_frame_equal(result, expected)