Fixed additional passing args to resample().apply

Author: discort

doc/source/whatsnew/v0.23.5.txt

@@ -34,6 +34,7 @@ Bug Fixes
 **Groupby/Resample/Rolling**
 
 - Bug in :meth:`DataFrame.resample` when resampling ``NaT`` in ``TimeDeltaIndex`` (:issue:`13223`).
+- Bug in :meth:`Resampler.apply` when passing an additional argument to applied func (:issue:`14615`).
 -
 
 **Missing**

pandas/core/resample.py

@@ -240,6 +240,7 @@ def aggregate(self, arg, *args, **kwargs):
         result, how = self._aggregate(arg, *args, **kwargs)
         if result is None:
             result = self._groupby_and_aggregate(arg,
+                                                 None,
                                                  *args,
                                                  **kwargs)
 
@@ -852,7 +853,7 @@ def __init__(self, obj, *args, **kwargs):
         self._groupby.grouper.mutated = True
         self.groupby = copy.copy(parent.groupby)
 
-    def _apply(self, f, **kwargs):
+    def _apply(self, f, *args, **kwargs):
         """
         dispatch to _upsample; we are stripping all of the _upsample kwargs and
         performing the original function call on the grouped object

pandas/tests/test_resample.py

@@ -2165,6 +2165,15 @@ def test_resample_datetime_values(self):
         res = df['timestamp'].resample('2D').first()
         tm.assert_series_equal(res, exp)
 
+    def test_resample_apply_with_additional_args(self):
+        def f(data, add_arg):
+            return np.mean(data) * add_arg
+
+        multiplier = 10
+        result = self.series.resample('D').apply(f, multiplier)
+        expected = self.series.resample('D').mean().multiply(multiplier)
+        tm.assert_series_equal(result, expected)
+
 
 class TestPeriodIndex(Base):
     _index_factory = lambda x: period_range