BUG: Resample.aggregate raising TypeError instead of SpecificationError with missing keys dtypes (#39028)

Author: phofl

doc/source/whatsnew/v1.3.0.rst

@@ -306,6 +306,7 @@ Groupby/resample/rolling
 - Bug in :meth:`.GroupBy.indices` would contain non-existent indices when null values were present in the groupby keys (:issue:`9304`)
 - Fixed bug in :meth:`DataFrameGroupBy.sum` and :meth:`SeriesGroupBy.sum` causing loss of precision through using Kahan summation (:issue:`38778`)
 - Fixed bug in :meth:`DataFrameGroupBy.cumsum`, :meth:`SeriesGroupBy.cumsum`, :meth:`DataFrameGroupBy.mean` and :meth:`SeriesGroupBy.mean` causing loss of precision through using Kahan summation (:issue:`38934`)
+- Bug in :meth:`.Resampler.aggregate` and :meth:`DataFrame.transform` raising ``TypeError`` instead of ``SpecificationError`` when missing keys having mixed dtypes (:issue:`39025`)
 
 Reshaping
 ^^^^^^^^^

pandas/core/aggregation.py

@@ -35,6 +35,7 @@
 from pandas.core.dtypes.common import is_dict_like, is_list_like
 from pandas.core.dtypes.generic import ABCDataFrame, ABCNDFrame, ABCSeries
 
+from pandas.core.algorithms import safe_sort
 from pandas.core.base import DataError, SpecificationError
 import pandas.core.common as com
 from pandas.core.indexes.api import Index
@@ -482,9 +483,10 @@ def transform_dict_like(
 
     if obj.ndim != 1:
         # Check for missing columns on a frame
-        cols = sorted(set(func.keys()) - set(obj.columns))
+        cols = set(func.keys()) - set(obj.columns)
         if len(cols) > 0:
-            raise SpecificationError(f"Column(s) {cols} do not exist")
+            cols_sorted = list(safe_sort(list(cols)))
+            raise SpecificationError(f"Column(s) {cols_sorted} do not exist")
 
     # Can't use func.values(); wouldn't work for a Series
     if any(is_dict_like(v) for _, v in func.items()):
@@ -738,7 +740,11 @@ def agg_dict_like(
         if isinstance(selected_obj, ABCDataFrame) and len(
             selected_obj.columns.intersection(keys)
         ) != len(keys):
-            cols = sorted(set(keys) - set(selected_obj.columns.intersection(keys)))
+            cols = list(
+                safe_sort(
+                    list(set(keys) - set(selected_obj.columns.intersection(keys))),
+                )
+            )
             raise SpecificationError(f"Column(s) {cols} do not exist")
 
     from pandas.core.reshape.concat import concat

pandas/tests/frame/apply/test_frame_transform.py

@@ -253,8 +253,24 @@ def f(x, a, b, c):
 
 
 def test_transform_missing_columns(axis):
-    # GH 35964
+    # GH#35964
     df = DataFrame({"A": [1, 2], "B": [3, 4]})
     match = re.escape("Column(s) ['C'] do not exist")
     with pytest.raises(SpecificationError, match=match):
         df.transform({"C": "cumsum"})
+
+
+def test_transform_none_to_type():
+    # GH#34377
+    df = DataFrame({"a": [None]})
+    msg = "Transform function failed"
+    with pytest.raises(ValueError, match=msg):
+        df.transform({"a": int})
+
+
+def test_transform_mixed_column_name_dtypes():
+    # GH39025
+    df = DataFrame({"a": ["1"]})
+    msg = r"Column\(s\) \[1, 'b'\] do not exist"
+    with pytest.raises(SpecificationError, match=msg):
+        df.transform({"a": int, 1: str, "b": int})

pandas/tests/resample/test_resample_api.py

@@ -297,6 +297,21 @@ def test_agg_consistency():
         r.agg({"r1": "mean", "r2": "sum"})
 
 
+def test_agg_consistency_int_str_column_mix():
+    # GH#39025
+    df = DataFrame(
+        np.random.randn(1000, 2),
+        index=pd.date_range("1/1/2012", freq="S", periods=1000),
+        columns=[1, "a"],
+    )
+
+    r = df.resample("3T")
+
+    msg = r"Column\(s\) \[2, 'b'\] do not exist"
+    with pytest.raises(pd.core.base.SpecificationError, match=msg):
+        r.agg({2: "mean", "b": "sum"})
+
+
 # TODO: once GH 14008 is fixed, move these tests into
 # `Base` test class
 

pandas/tests/series/apply/test_series_transform.py

@@ -1,7 +1,7 @@
 import numpy as np
 import pytest
 
-from pandas import DataFrame, Series, concat
+from pandas import Series, concat
 import pandas._testing as tm
 from pandas.core.base import SpecificationError
 from pandas.core.groupby.base import transformation_kernels
@@ -65,14 +65,6 @@ def test_transform_wont_agg(string_series):
             string_series.transform(["sqrt", "max"])
 
 
-def test_transform_none_to_type():
-    # GH34377
-    df = DataFrame({"a": [None]})
-    msg = "Transform function failed"
-    with pytest.raises(ValueError, match=msg):
-        df.transform({"a": int})
-
-
 def test_transform_axis_1_raises():
     # GH 35964
     msg = "No axis named 1 for object type Series"