Remove warning handling

Author: rhshadrach

pandas/core/apply.py

@@ -4,7 +4,6 @@
 from collections import defaultdict
 from functools import partial
 import inspect
-import re
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -339,12 +338,6 @@ def agg_list_like(self) -> DataFrame | Series:
         keys = []
         failed_names = []
 
-        depr_nuisance_columns_msg = (
-            "{} did not aggregate successfully. If any error is "
-            "raised this will raise in a future version of pandas. "
-            "Drop these columns/ops to avoid this warning."
-        )
-
         # degenerate case
         if selected_obj.ndim == 1:
             for a in arg:
@@ -367,24 +360,7 @@ def agg_list_like(self) -> DataFrame | Series:
             for index, col in enumerate(selected_obj):
                 colg = obj._gotitem(col, ndim=1, subset=selected_obj.iloc[:, index])
                 try:
-                    # Capture and suppress any warnings emitted by us in the call
-                    # to agg below, but pass through any warnings that were
-                    # generated otherwise.
-                    with warnings.catch_warnings(record=True) as record:
-                        new_res = colg.aggregate(arg)
-                    if len(record) > 0:
-                        match = re.compile(depr_nuisance_columns_msg.format(".*"))
-                        for warning in record:
-                            if re.match(match, str(warning.message)):
-                                failed_names.append(col)
-                            else:
-                                warnings.warn_explicit(
-                                    message=warning.message,
-                                    category=warning.category,
-                                    filename=warning.filename,
-                                    lineno=warning.lineno,
-                                )
-
+                    new_res = colg.aggregate(arg)
                 except (TypeError, DataError):
                     failed_names.append(col)
                 except ValueError as err:
@@ -412,7 +388,9 @@ def agg_list_like(self) -> DataFrame | Series:
 
         if len(failed_names) > 0:
             warnings.warn(
-                depr_nuisance_columns_msg.format(failed_names),
+                f"{failed_names} did not aggregate successfully. If any error is "
+                "raised this will raise in a future version of pandas. "
+                "Drop these columns/ops to avoid this warning.",
                 FutureWarning,
                 stacklevel=find_stack_level(),
             )

pandas/tests/apply/test_frame_apply.py

@@ -1462,20 +1462,3 @@ def test_apply_getitem_axis_1():
     result = df[["a", "a"]].apply(lambda x: x[0] + x[1], axis=1)
     expected = Series([0, 2, 4])
     tm.assert_series_equal(result, expected)
-
-
-def test_nuisance_depr_passes_through_warnings():
-    # GH 43740
-    # DataFrame.agg with list-likes may emit warnings for both individual
-    # args and for entire columns, but we only want to emit once. We
-    # catch and suppress the warnings for individual args, but need to make
-    # sure if some other warnings were raised, they get passed through to
-    # the user.
-
-    def foo(x):
-        warnings.warn("Hello, World!")
-        return x.sum()
-
-    df = DataFrame({"a": [1, 2, 3]})
-    with tm.assert_produces_warning(UserWarning, match="Hello, World!"):
-        df.agg([foo])