diff --git a/pandas/tests/resample/test_resampler_grouper.py b/pandas/tests/resample/test_resampler_grouper.py
index 209f2e74d97de..2f26e64d0341f 100644
--- a/pandas/tests/resample/test_resampler_grouper.py
+++ b/pandas/tests/resample/test_resampler_grouper.py
@@ -327,25 +327,6 @@ def test_apply_columns_multilevel():
     tm.assert_frame_equal(result, expected)
 
 
-def test_apply_non_naive_index():
-    def weighted_quantile(series, weights, q):
-        series = series.sort_values()
-        cumsum = weights.reindex(series.index).fillna(0).cumsum()
-        cutoff = cumsum.iloc[-1] * q
-        return series[cumsum >= cutoff].iloc[0]
-
-    times = date_range("2017-6-23 18:00", periods=8, freq="15T", tz="UTC")
-    data = Series([1.0, 1, 1, 1, 1, 2, 2, 0], index=times)
-    weights = Series([160.0, 91, 65, 43, 24, 10, 1, 0], index=times)
-
-    result = data.resample("D").apply(weighted_quantile, weights=weights, q=0.5)
-    ind = date_range(
-        "2017-06-23 00:00:00+00:00", "2017-06-23 00:00:00+00:00", freq="D", tz="UTC"
-    )
-    expected = Series([1.0], index=ind)
-    tm.assert_series_equal(result, expected)
-
-
 def test_resample_groupby_with_label():
     # GH 13235
     index = date_range("2000-01-01", freq="2D", periods=5)
@@ -693,4 +674,4 @@ def test_groupby_resample_on_index_with_list_of_keys_missing_column():
         ),
     )
     with pytest.raises(KeyError, match="Columns not found"):
-        df.groupby("group").resample("2D")[["val_not_in_dataframe"]].mean()
+        df.groupby("group").resample("2D")[["val_not_in_dataframe"]].mean()
\ No newline at end of file