Runtime 624 ms Beats 92.70% of users with Pandas | THE EASIEST SOLUTION FOR YOU
\n\n# CODE\n\nimport pandas as pd\n\ndef list_products(products: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:\n    orders = orders[(orders["order_date"]
\n\n# CODE\n```\nimport pandas as pd\n\ndef list_products(products: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:\n    orders = orders[(orders["order_date"].dt.year == 2020) & (orders["order_date"].dt.month == 2)].groupby(["product_id"])["unit"].sum().reset_index()\n    return orders[orders["unit"] >= 100].merge(products[["product_id", "product_name"]])[["product_name", "unit"]]\n```\n\n## PLS>
['Database', 'Python', 'Python3', 'Pandas']