update tests

Author: mroeschke

pandas/tests/frame/test_constructors.py

@@ -565,7 +565,7 @@ def test_constructor_invalid_items_unused(self, scalar):
         expected = DataFrame(columns=["b"])
         tm.assert_frame_equal(result, expected)
 
-    @pytest.mark.parametrize("value", [2, np.nan, None, float("nan")])
+    @pytest.mark.parametrize("value", [4, np.nan, None, float("nan")])
     def test_constructor_dict_nan_key(self, value):
         # GH 18455
         cols = [1, value, 3]

pandas/tests/frame/test_reductions.py

@@ -1184,33 +1184,33 @@ def test_idxmax_mixed_dtype(self):
         df = DataFrame({1: [0, 2, 1], 2: range(3)[::-1], 3: dti})
 
         result = df.idxmax()
-        expected = Series([1, 0, 2], index=[1, 2, 3])
+        expected = Series([1, 0, 2], index=range(1, 4))
         tm.assert_series_equal(result, expected)
 
         result = df.idxmin()
-        expected = Series([0, 2, 0], index=[1, 2, 3])
+        expected = Series([0, 2, 0], index=range(1, 4))
         tm.assert_series_equal(result, expected)
 
         # with NaTs
         df.loc[0, 3] = pd.NaT
         result = df.idxmax()
-        expected = Series([1, 0, 2], index=[1, 2, 3])
+        expected = Series([1, 0, 2], index=range(1, 4))
         tm.assert_series_equal(result, expected)
 
         result = df.idxmin()
-        expected = Series([0, 2, 1], index=[1, 2, 3])
+        expected = Series([0, 2, 1], index=range(1, 4))
         tm.assert_series_equal(result, expected)
 
         # with multi-column dt64 block
         df[4] = dti[::-1]
         df._consolidate_inplace()
 
         result = df.idxmax()
-        expected = Series([1, 0, 2, 0], index=[1, 2, 3, 4])
+        expected = Series([1, 0, 2, 0], index=range(1, 5))
         tm.assert_series_equal(result, expected)
 
         result = df.idxmin()
-        expected = Series([0, 2, 1, 2], index=[1, 2, 3, 4])
+        expected = Series([0, 2, 1, 2], index=range(1, 5))
         tm.assert_series_equal(result, expected)
 
     @pytest.mark.parametrize(
@@ -1833,7 +1833,7 @@ def test_df_empty_min_count_0(self, opname, dtype, exp_value, exp_dtype):
         df = DataFrame({0: [], 1: []}, dtype=dtype)
         result = getattr(df, opname)(min_count=0)
 
-        expected = Series([exp_value, exp_value], dtype=exp_dtype, index=Index([0, 1]))
+        expected = Series([exp_value, exp_value], dtype=exp_dtype, index=range(2))
         tm.assert_series_equal(result, expected)
 
     @pytest.mark.parametrize(

pandas/tests/io/excel/test_readers.py

@@ -1034,7 +1034,6 @@ def test_read_excel_multiindex(self, request, engine, read_ext):
                 [4, 5.5, pd.Timestamp("2015-01-04"), True],
             ],
             columns=mi,
-            index=Index([0, 1, 2, 3], dtype="int64"),
         )
         expected[mi[2]] = expected[mi[2]].astype(f"M8[{unit}]")
 
@@ -1066,7 +1065,7 @@ def test_read_excel_multiindex(self, request, engine, read_ext):
         tm.assert_frame_equal(actual, expected)
 
         # "mi_column_name" sheet
-        expected.index = list(range(4))
+        expected.index = range(4)
         expected.columns = mi.set_names(["c1", "c2"])
         actual = pd.read_excel(
             mi_file, sheet_name="mi_column_name", header=[0, 1], index_col=0