import pandas as pd


rows = 10_000
df = pd.DataFrame(
    {
        "order_id": range(100_000, 100_000 + rows),
        "region": ["EMEA", "APAC", "AMER", "EMEA"] * (rows // 4),
        "priority": ["low", "normal", "urgent", "normal"] * (rows // 4),
        "quantity": [1, 2, 3, 4] * (rows // 4),
        "revenue": [149.95, 89.50, 212.25, 65.00] * (rows // 4),
    }
)

baseline = df.copy()
optimized = df.copy()
before = baseline.memory_usage(deep=True).sum()