removed more catch_warnings

Author: SaturnFromTitan

pandas/core/apply.py

@@ -1,7 +1,6 @@
 import abc
 import inspect
 from typing import TYPE_CHECKING, Any, Dict, Iterator, Optional, Type, Union
-import warnings
 
 import numpy as np
 
@@ -357,9 +356,13 @@ def wrap_results(self, results: ResType) -> Union["Series", "DataFrame"]:
             return self.wrap_results_for_axis(results)
 
         # dict of scalars
-        with warnings.catch_warnings():
-            warnings.simplefilter(action="ignore", category=FutureWarning)
-            result = self.obj._constructor_sliced(results)
+        # TODO: Remove if/else block when default dtype of Series is changed to object
+        constructor_sliced = self.obj._constructor_sliced
+        is_empty = isinstance(results, (list, tuple, dict)) and not results
+        if constructor_sliced is Series and is_empty:
+            result = constructor_sliced(results, dtype=object)
+        else:
+            result = constructor_sliced(results)
         result.index = self.res_index
 
         return result

pandas/tests/indexing/common.py

@@ -1,6 +1,5 @@
 """ common utilities """
 import itertools
-import warnings
 from warnings import catch_warnings, filterwarnings
 
 import numpy as np
@@ -98,9 +97,7 @@ def setup_method(self, method):
         self.frame_ts_rev = DataFrame(np.random.randn(4, 4), index=dates_rev)
 
         self.frame_empty = DataFrame()
-        with warnings.catch_warnings():
-            warnings.simplefilter(action="ignore", category=FutureWarning)
-            self.series_empty = Series()
+        self.series_empty = Series(dtype=object)
 
         # form agglomerates
         for kind in self._kinds:

pandas/tests/io/json/test_pandas.py

@@ -3,7 +3,6 @@
 from io import StringIO
 import json
 import os
-import warnings
 
 import numpy as np
 import pytest
@@ -671,9 +670,7 @@ def test_series_roundtrip_object(self, orient, numpy, dtype):
     @pytest.mark.parametrize("numpy", [True, False])
     def test_series_roundtrip_empty(self, orient, numpy):
         data = self.empty_series.to_json(orient=orient)
-        with warnings.catch_warnings():
-            warnings.simplefilter(action="ignore", category=FutureWarning)
-            result = pd.read_json(data, typ="series", orient=orient, numpy=numpy)
+        result = pd.read_json(data, typ="series", orient=orient, numpy=numpy)
         expected = self.empty_series.copy()
 
         # TODO: see what causes inconsistency