update tests

Author: vignesh14052002

pandas/tests/io/excel/test_readers.py

@@ -168,6 +168,42 @@ def test_read_excel_type_check(self, col, tmp_excel, read_ext):
         df2 = pd.read_excel(tmp_excel, dtype={"bool_column": "boolean"})
         tm.assert_frame_equal(df, df2)
 
+    def test_read_excel_int_bool_mix_type_check(self, tmp_excel, read_ext):
+        # GH 60088
+        if read_ext in (".xlsb", ".xls"):
+            pytest.skip(f"No engine for filetype: '{read_ext}'")
+
+        df1 = DataFrame(
+            {
+                "a": [True, True],
+                "b": [1, True],
+                "c": [True, 1],
+                "d": [False, 0],
+                "e": [0, False],
+                "f": [False, False],
+            },
+            dtype=object,
+        )
+        df1.to_excel(tmp_excel, index=False)
+
+        df2 = pd.read_excel(tmp_excel, dtype=object)
+
+        tm.assert_frame_equal(df1, df2)
+
+        for idx, row in df2.iterrows():
+            for col in df2.columns:
+                val = row[col]
+                exp_val = df1.iloc[idx][col]
+                # Check if values match
+                assert val == exp_val, (
+                    f"Mismatch at Row {idx} Column {col}: {val} != {exp_val}"
+                )
+                # Check if types match
+                assert type(val) == type(exp_val), (
+                    f"Type mismatch at Row {idx} Column {col}: "
+                    f"{type(val)} != {type(exp_val)}"
+                )
+
     def test_pass_none_type(self, datapath):
         # GH 58159
         f_path = datapath("io", "data", "excel", "test_none_type.xlsx")

pandas/tests/io/parser/common/test_common_basic.py

@@ -835,8 +835,10 @@ def test_read_seek(all_parsers):
 
 def test_dtype_conversion_in_sanitization():
     # GH60088
-    values = np.array([1, True], dtype=object)
-    expected = np.array([1, True], dtype=object)
+    values = np.array([1, True, 0, False, 1.0, 0.0, np.True_, np.False_], dtype=object)
+    expected = np.array(
+        [1, True, 0, False, 1.0, 0.0, np.True_, np.False_], dtype=object
+    )
     libparsers.sanitize_objects(values, na_values=set())
     for v, e in zip(values, expected):
         assert v == e