keep parameter test

Testing the functionality of value_counts keep parameter.

Author: Keramatfar

pandas/tests/test_value_counts_normalize.py

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+import pandas as pd
+import pytest
+
+def test_value_counts_normalize():
+    # Test data
+    data = pd.Series([1, 1, 2, 2, 3, 3, 3, 4])
+
+    # Apply your function to the series (with the 'keep' parameter introduced)
+    result = data.value_counts(normalize='keep')  # Assuming your new feature is applied
+
+    # Expected output: Normalized value counts
+    expected = pd.Series(
+        {3: '3(0.375)', 1: '2(0.25)', 2: '2(0.25)', 4: '1(0.125)'},
+        name="proportion"  # Ensure the name is set here to match the result
+    )
+
+    # Ensure both result and expected have the same name attribute
+    pd.testing.assert_series_equal(result, expected, check_names=True)