What is the percentage change in total net sales of International and Refrigerated & Frozen from the fiscal year 2017 to 2018?
{"($ in millions) -- Reporting Segment": {"Fiscal 2018 Net Sales": 2018, "Fiscal 2017 Net Sales": 2017.0, "% Inc (Dec)": "% Inc (Dec)"}, "($ in millions) -- Grocery & Snacks": {"Fiscal 2018 Net Sales": 3287.0, "Fiscal 2017 Net Sales": 3208.8, "% Inc (Dec)": 2.0}, "($ in millions) -- Refrigerated & Frozen": {"Fiscal 2018 Net Sales": 2753.0, "Fiscal 2017 Net Sales": 2652.7, "% Inc (Dec)": 4.0}, "($ in millions) -- International": {"Fiscal 2018 Net Sales": 843.5, "Fiscal 2017 Net Sales": 816.0, "% Inc (Dec)": 3.0}, "($ in millions) -- Foodservice": {"Fiscal 2018 Net Sales": 1054.8, "Fiscal 2017 Net Sales": 1078.3, "% Inc (Dec)": -2.0}, "($ in millions) -- Commercial": {"Fiscal 2018 Net Sales": "\u2014", "Fiscal 2017 Net Sales": 71.1, "% Inc (Dec)": -100}, "($ in millions) -- Total": {"Fiscal 2018 Net Sales": 7938.3, "Fiscal 2017 Net Sales": 7826.9, "% Inc (Dec)": 1.0}}
total_sales_2018 = df["($ in millions) -- International"]["Fiscal 2018 Net Sales"] + df["($ in millions) -- Refrigerated & Frozen"]["Fiscal 2018 Net Sales"]
total_sales_2017 = df["($ in millions) -- International"]["Fiscal 2017 Net Sales"] + df["($ in millions) -- Refrigerated & Frozen"]["Fiscal 2017 Net Sales"]
answer = (total_sales_2018 - total_sales_2017) / total_sales_2017 * 100.0