Bug: OverflowError in resample.agg with tz data (#25297)

Author: mroeschke

doc/source/whatsnew/v0.25.0.rst

@@ -172,7 +172,7 @@ Plotting
 Groupby/Resample/Rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
--
+- Bug in :meth:`pandas.core.resample.Resampler.agg` with a timezone aware index where ``OverflowError`` would raise when passing a list of functions (:issue:`22660`)
 -
 -
 

pandas/core/indexes/datetimes.py

@@ -1010,7 +1010,7 @@ def get_loc(self, key, method=None, tolerance=None):
  except (KeyError, ValueError, TypeError):
  try:
  return self._get_string_slice(key)
- except (TypeError, KeyError, ValueError):
+ except (TypeError, KeyError, ValueError, OverflowError):
  pass
 
  try:

pandas/tests/resample/test_resample_api.py

@@ -549,3 +549,25 @@ def test_selection_api_validation():
 
  exp.index.name = 'd'
  assert_frame_equal(exp, df.resample('2D', level='d').sum())
+
+
+@pytest.mark.parametrize('col_name', ['t2', 't2x', 't2q', 'T_2M',
+ 't2p', 't2m', 't2m1', 'T2M'])
+def test_agg_with_datetime_index_list_agg_func(col_name):
+ # GH 22660
+ # The parametrized column names would get converted to dates by our
+ # date parser. Some would result in OutOfBoundsError (ValueError) while
+ # others would result in OverflowError when passed into Timestamp.
+ # We catch these errors and move on to the correct branch.
+ df = pd.DataFrame(list(range(200)),
+ index=pd.date_range(start='2017-01-01', freq='15min',
+ periods=200, tz='Europe/Berlin'),
+ columns=[col_name])
+ result = df.resample('1d').aggregate(['mean'])
+ expected = pd.DataFrame([47.5, 143.5, 195.5],
+ index=pd.date_range(start='2017-01-01', freq='D',
+ periods=3, tz='Europe/Berlin'),
+ columns=pd.MultiIndex(levels=[[col_name],
+ ['mean']],
+ codes=[[0], [0]]))
+ assert_frame_equal(result, expected)