fixup

doc/source/whatsnew/v1.3.0.rst

@@ -363,7 +363,7 @@ Deprecations
 - Deprecated :meth:`core.window.ewm.ExponentialMovingWindow.vol` (:issue:`39220`)
 - Using ``.astype`` to convert between ``datetime64[ns]`` dtype and :class:`DatetimeTZDtype` is deprecated and will raise in a future version, use ``obj.tz_localize`` or ``obj.dt.tz_localize`` instead (:issue:`38622`)
 - Deprecated casting ``datetime.date`` objects to ``datetime64`` when used as ``fill_value`` in :meth:`DataFrame.unstack`, :meth:`DataFrame.shift`, :meth:`Series.shift`, and :meth:`DataFrame.reindex`, pass ``pd.Timestamp(dateobj)`` instead (:issue:`39767`)
-- Deprecated allowing partial failure in :meth:`Series.transform` and :meth:`DataFrame.transform` when ``func`` is list-like and dict-like; will raise if any function fails on column in a future version (:issue:`40211`)
+- Deprecated allowing partial failure in :meth:`Series.transform` and :meth:`DataFrame.transform` when ``func`` is list-like or dict-like; will raise if any function fails on column in a future version (:issue:`40211`)
 
 .. ---------------------------------------------------------------------------
 

pandas/core/apply.py

@@ -286,11 +286,10 @@ def transform_dict_like(self, func):
             raise ValueError("Transform function failed")
         if len(failed_names) > 0:
             warnings.warn(
-                f"Columns {failed_names} did not transform successfully. "
+                f"{failed_names} did not transform successfully. "
                 f"Allowing for partial failure is deprecated, this will raise "
                 f"a ValueError in a future version of pandas."
-                f"Drop these columns before calling transform to avoid"
-                f"this warning.",
+                f"Drop these columns/ops to avoid this warning.",
                 FutureWarning,
                 stacklevel=4,
             )

pandas/tests/apply/test_series_apply.py

@@ -20,7 +20,6 @@
     timedelta_range,
 )
 import pandas._testing as tm
-from pandas.core.base import SpecificationError
 from pandas.tests.apply.common import series_transform_kernels
 
 
@@ -286,19 +285,6 @@ def test_transform_partial_failure(op, request):
     tm.assert_equal(result, expected)
 
 
-def test_transform_and_agg_error(string_series):
-    # we are trying to transform with an aggregator
-    msg = "cannot combine transform and aggregation"
-    with pytest.raises(ValueError, match=msg):
-        with np.errstate(all="ignore"):
-            string_series.agg(["sqrt", "max"])
-
-    msg = "cannot perform both aggregation and transformation"
-    with pytest.raises(ValueError, match=msg):
-        with np.errstate(all="ignore"):
-            string_series.agg({"foo": np.sqrt, "bar": "sum"})
-
-
 def test_demo():
     # demonstration tests
     s = Series(range(6), dtype="int64", name="series")