Fixed bug in df.resample using 'on' parameter

Author: discort

doc/source/whatsnew/v0.23.0.txt

@@ -515,7 +515,7 @@ Groupby/Resample/Rolling
 - Bug in :func:`DataFrame.resample` which silently ignored unsupported (or mistyped) options for ``label``, ``closed`` and ``convention`` (:issue:`19303`)
 - Bug in :func:`DataFrame.groupby` where tuples were interpreted as lists of keys rather than as keys (:issue:`17979`, :issue:`18249`)
 - Bug in ``transform`` where particular aggregation functions were being incorrectly cast to match the dtype(s) of the grouped data (:issue:`19200`)
--
+- Bug in `DataFrame.groupby` with resample using `on` parameter when selecting column to apply function (:issue:`17813`)
 
 Sparse
 ^^^^^^

pandas/core/groupby.py

@@ -423,6 +423,7 @@ def __init__(self, key=None, level=None, freq=None, axis=0, sort=False):
         self.obj = None
         self.indexer = None
         self.binner = None
+        self._grouper = None
 
     @property
     def ax(self):
@@ -465,12 +466,21 @@ def _set_grouper(self, obj, sort=False):
             raise ValueError(
                 "The Grouper cannot specify both a key and a level!")
 
+        # Keep self.grouper value before overriding
+        if self._grouper is None:
+            self._grouper = self.grouper
+
         # the key must be a valid info item
         if self.key is not None:
             key = self.key
-            if key not in obj._info_axis:
-                raise KeyError("The grouper name {0} is not found".format(key))
-            ax = Index(obj[key], name=key)
+            if getattr(self.grouper, 'name', None) == key and \
+                    isinstance(obj, Series):
+                ax = self._grouper.take(obj.index)
+            else:
+                if key not in obj._info_axis:
+                    raise KeyError(
+                        "The grouper name {0} is not found".format(key))
+                ax = Index(obj[key], name=key)
 
         else:
             ax = obj._get_axis(self.axis)

pandas/tests/test_resample.py

@@ -252,6 +252,15 @@ def test_pipe(self):
         result = r.pipe(lambda x: x.max() - x.mean())
         tm.assert_frame_equal(result, expected)
 
+    def test_groupby_resample_on_api_with_getitem(self):
+        # GH 17813
+        df = pd.DataFrame({'id': list('aabbb'),
+                           'date': pd.date_range('1-1-2016', periods=5),
+                           'data': 1})
+        exp = df.set_index('date').groupby('id').resample('2D')['data'].sum()
+        result = df.groupby('id').resample('2D', on='date')['data'].sum()
+        assert_series_equal(result, exp)
+
     @td.skip_if_no_mpl
     def test_plot_api(self):
         # .resample(....).plot(...)