Use np.isclose to make test stronger

Author: cooolheater

doc/source/whatsnew/v3.0.0.rst

@@ -62,6 +62,7 @@ Other enhancements
 - Support passing a :class:`Iterable[Hashable]` input to :meth:`DataFrame.drop_duplicates` (:issue:`59237`)
 - Support reading Stata 102-format (Stata 1) dta files (:issue:`58978`)
 - Support reading Stata 110-format (Stata 7) dta files (:issue:`47176`)
+- Support skipna=True in operations on Float64 arrays with null values (:issue:`59965`)
 
 .. ---------------------------------------------------------------------------
 .. _whatsnew_300.notable_bug_fixes:

pandas/tests/series/test_reductions.py

@@ -230,4 +230,4 @@ def test_mean_with_skipna():
     series1 = Series({"a": 0.0, "b": 1, "c": 1}, dtype="Float64")
     series2 = Series({"a": 0.0, "b": 2, "c": 2}, dtype="Float64")
     result = series1 / series2
-    assert pd.notna(result.mean(skipna=True))
+    assert np.isclose(result.mean(skipna=True), 0.5)