x_axis = [1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012]
y_axis_value1 = [219, 146, 112, 127, 124, 180, 236, 207, 236, 263, 350, 430, 474, 526, 488, 537, 500, 439]
y_axis_value2 = [16, 13, 10, 11, 28, 37, 43, 55, 56, 88, 105, 156, 270, 299, 340, 403, 549, 499]
df1 = pd.DataFrame(zip(x_axis, y_axis_value1), columns=["LABEL", "VALUE"])
df2 = pd.DataFrame(zip(x_axis, y_axis_value2), columns=["LABEL", "VALUE"])
df2["GROUPS"] = "Rest of world"
df = pd.concat([df1, df2])