silenced some more warnings

pandas/tests/groupby/test_grouping.py

@@ -14,6 +14,7 @@
     date_range,
 )
 import pandas._testing as tm
+from pandas.core.construction import create_series_with_explicit_index
 from pandas.core.groupby.grouper import Grouping
 
 # selection
@@ -637,11 +638,12 @@ def test_evaluate_with_empty_groups(self, func, expected):
 
     def test_groupby_empty(self):
         # https://github.com/pandas-dev/pandas/issues/27190
-        s = pd.Series([], name="name", dtype="float64")
+        s = create_series_with_explicit_index([], name="name", dtype="float64")
         gr = s.groupby([])
 
         result = gr.mean()
-        tm.assert_series_equal(result, s)
+        expected = pd.Series([], name="name", dtype="float64", index=pd.RangeIndex(0))
+        tm.assert_series_equal(result, expected)
 
         # check group properties
         assert len(gr.grouper.groupings) == 1

pandas/tests/io/parser/test_dtypes.py

@@ -13,7 +13,7 @@
 from pandas.core.dtypes.dtypes import CategoricalDtype
 
 import pandas as pd
-from pandas import Categorical, DataFrame, Index, MultiIndex, Series, Timestamp, concat
+from pandas import Categorical, DataFrame, Index, MultiIndex, Timestamp, concat
 import pandas._testing as tm
 from pandas.core.construction import create_series_with_explicit_index
 
@@ -435,7 +435,7 @@ def test_empty_with_dup_column_pass_dtype_by_indexes(all_parsers):
     expected = concat(
         [
             create_series_with_explicit_index([], name="one", dtype="u1"),
-            Series([], name="one.1", dtype="f"),
+            create_series_with_explicit_index([], name="one.1", dtype="f"),
         ],
         axis=1,
     )
@@ -452,7 +452,7 @@ def test_empty_with_dup_column_pass_dtype_by_indexes_raises(all_parsers):
     expected = concat(
         [
             create_series_with_explicit_index([], name="one", dtype="u1"),
-            Series([], name="one.1", dtype="f"),
+            create_series_with_explicit_index([], name="one.1", dtype="f"),
         ],
         axis=1,
     )