resampler with non_naive index test GH#25411 (pandas-dev#52956)

Signed-off-by: Liang Yan <[email protected]>

Author: liang3zy22

pandas/tests/resample/test_resampler_grouper.py

@@ -327,6 +327,25 @@ 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)