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Author: alimcmaster1

pandas/tests/indexes/multi/test_duplicates.py

@@ -307,14 +307,21 @@ def test_duplicated_drop_duplicates():
 
 
 @pytest.mark.parametrize(
-    "array,expected",
+    "array,expected,dtype",
     [
         (
-            [0, 1j, 1j, 1, 1 + 1j, 1 + 2j, 1 + 1j],
-            Series([False, False, True, False, False, False, True], dtype=bool),
+            [np.nan + np.nan * 1j, 0, 1j, 1j, 1, 1 + 1j, 1 + 2j, 1 + 1j, np.nan, np.nan + np.nan * 1j],
+            Series([False, False, False, True, False, False, False, True, False, True], dtype=bool),
+            np.complex64
+        ),
+
+        (
+            [np.nan + np.nan * 1j, 0, 1j, 1j, 1, 1 + 1j, 1 + 2j, 1 + 1j, np.nan, np.nan + np.nan * 1j],
+            Series([False, False, False, True, False, False, False, True, False, True], dtype=bool),
+            np.complex128
         )
     ],
 )
-def test_duplicated_series_complex_numbers(array, expected):
-    result = Series(array, dtype=np.complex64).duplicated()
+def test_duplicated_series_complex_numbers(array, expected, dtype):
+    result = Series(array, dtype=dtype).duplicated()
     tm.assert_series_equal(result, expected)

pandas/tests/series/methods/test_value_counts.py

@@ -208,17 +208,16 @@ def test_value_counts_bool_with_nan(self, ser, dropna, exp):
         "input_array,expected",
         [
             (
-                [1 + 1j, 0, 1, 1j, 1 + 2j],
-                Series([1, 1, 1, 1, 1], index=[0, 1, 1j, 1 + 1j, 1 + 2j]),
+                [1 + 1j, 0, 1 + 0j, 1j, 1 + 2j],
+                Series([1, 1, 1, 1, 1], index=[0, 1 + 0j, 1j, 1 + 1j, 1 + 2j]),
             ),
             (
-                [1 + 2j, 0, 1j, 1, 1j, 1 + 1j],
+                [1 + 2j, 0, 1j, 1, 1j, 1 + 1j, 1 + 1j],
                 # index is sorted by value counts in descending order by default
-                Series([2, 1, 1, 1, 1], index=[1j, 0, 1, 1 + 1j, 1 + 2j]),
+                Series([2, 1, 1, 2, 1], index=pd.Index([1j, 0, 1, 1 + 1j, 1 + 2j], dtype=np.complex128)),
             ),
         ],
     )
     def test_value_counts_complex_numbers(self, input_array, expected):
-        result = pd.value_counts(input_array)
-        print(result)
+        result = pd.Series(input_array, dtype=np.complex128).value_counts()
         tm.assert_series_equal(result, expected)