What was the change in Annualized Fourth Quarter Inventory Turns in 2019 from 2018?
{"Net Sales - OEM Laser Sources": {"2019": 886676.0, "2018": 1259477.0}, "Net Sales - Industrial Lasers & Systems": {"2019": 543964.0, "2018": 643096.0}, "Gross Profit as a Percentage of Net SalesOEM Laser Sources": {"2019": 47.3, "2018": 52.7}, "Gross Profit as a Percentage of Net SalesIndustrial Lasers & Systems": {"2019": 13.3, "2018": 26.7}, "Research and Development Expenses as a Percentage of Net Sales": {"2019": 8.2, "2018": 7.0}, "Income From Continuing Operations Before Income Taxes": {"2019": 60048.0, "2018": 361555.0}, "Net Cash Provided by Operating Activities": {"2019": 181401.0, "2018": 236111.0}, "Days Sales Outstanding in Receivables": {"2019": 67.0, "2018": 67.0}, "Annualized Fourth Quarter Inventory Turns": {"2019": 2.1, "2018": 2.2}, "Net Income From Continuing Operations as a Percentage of Net Sales": {"2019": 3.8, "2018": 13.0}, "Adjusted EBITDA as a Percentage of Net Sales": {"2019": 18.1, "2018": 28.9}}
annualized_fourth_quarter_inventory_turns_2019 = df["Annualized Fourth Quarter Inventory Turns"]["2019"]
annualized_fourth_quarter_inventory_turns_2018 = df["Annualized Fourth Quarter Inventory Turns"]["2018"]
answer = annualized_fourth_quarter_inventory_turns_2019 - annualized_fourth_quarter_inventory_turns_2018