What is the increase in net income (loss) from 2018 to 2019?
{"Net income (loss) attributable to Cal-Maine Foods, Inc.": {"June 1, 2019": 54229.0, "June 2, 2018": 125932.0, "June 3, 2017": -74278.0}, "Basic weighted-average common shares (including Class A)": {"June 1, 2019": 48467.0, "June 2, 2018": 48353.0, "June 3, 2017": 48362.0}, "Effect of dilutive securities: -- Common stock options and restricted stock": {"June 1, 2019": 122.0, "June 2, 2018": 115.0, "June 3, 2017": "\u2014"}, "Effect of dilutive securities: -- Dilutive potential common shares": {"June 1, 2019": 48589.0, "June 2, 2018": 48468.0, "June 3, 2017": 48362.0}, "Net income (loss) per common share: -- Basic": {"June 1, 2019": 1.12, "June 2, 2018": 2.6, "June 3, 2017": -1.54}, "Net income (loss) per common share: -- Diluted": {"June 1, 2019": 1.12, "June 2, 2018": 2.6, "June 3, 2017": -1.54}}
net_income_2019 = df["Net income (loss) attributable to Cal-Maine Foods, Inc."]["June 1, 2019"]
net_income_2018 = df["Net income (loss) attributable to Cal-Maine Foods, Inc."]["June 2, 2018"]
answer = net_income_2019 - net_income_2018