Resolve warning

Author: kotamatsuoka

pandas/tests/arrays/integer/test_function.py

@@ -105,7 +105,7 @@ def test_value_counts_na():
 
 def test_value_counts_empty():
     # https://github.com/pandas-dev/pandas/issues/33317
-    s = pd.Series([])
+    s = pd.Series([], dtype="float64")
     result = s.value_counts()
     # TODO: The dtype of the index seems wrong (it's int64 for non-empty)
     idx = pd.Float64Index([], dtype="float64")

pandas/tests/base/test_value_counts.py

@@ -145,7 +145,7 @@ def test_value_counts_bins(index_or_series):
     if isinstance(s1, Index):
         tm.assert_index_equal(s1.unique(), Index([1, 2, 3]))
     else:
-        exp = np.array([1, 2, 3], dtype="Int64")
+        exp = np.array([1, 2, 3])
         tm.assert_numpy_array_equal(s1.unique(), exp)
 
     assert s1.nunique() == 3
@@ -170,7 +170,7 @@ def test_value_counts_bins(index_or_series):
     # handle NA's properly
     s_values = ["a", "b", "b", "b", np.nan, np.nan, "d", "d", "a", "a", "b"]
     s = klass(s_values)
-    expected = Series([4, 3, 2], index=["b", "a", "d"], dtype="Int64")
+    expected = Series(data=[4, 3, 2], index=["b", "a", "d"], dtype="Int64")
     tm.assert_series_equal(s.value_counts(), expected)
 
     if isinstance(s, Index):