df19=df1.copy()
df19=df19.drop(df19.columns[[3,4,5,6,7,8,9,10,11,12,13]], axis=1)  
df19=df19.rename(columns={'Q4-2018':'QGDP'})
df19.insert(3, "Date", ["2019-03-13" for index in range (60)])

df20=df1.copy()
df20=df20.drop(df20.columns[[2,4,5,6,7,8,9,10,11,12,13]], axis=1)  
df20=df20.rename(columns={'Q1-2019':'QGDP'})
df20.insert(3, "Date", ["2019-05-22" for index in range (60)])

df21=df1.copy()
df21=df21.drop(df21.columns[[2,3,5,6,7,8,9,10,11,12,13]], axis=1)  
df21=df21.rename(columns={'Q2-2019':'QGDP'})
df21.insert(3, "Date", ["2019-08-26" for index in range (60)])

df22=df1.copy()
df22=df22.drop(df22.columns[[2,3,4,6,7,8,9,10,11,12,13]], axis=1)  
df22=df22.rename(columns={'Q3-2019':'QGDP'})
df22.insert(3, "Date", ["2019-11-19" for index in range (60)])

df23=df1.copy()
df23=df23.drop(df23.columns[[2,3,4,5,7,8,9,10,11,12,13]], axis=1)  
df23=df23.rename(columns={'Q4-2019':'QGDP'})
df23.insert(3, "Date", ["2020-02-20" for index in range (60)])

df24=df1.copy()
df24=df24.drop(df24.columns[[2,3,4,5,6,8,9,10,11,12,13]], axis=1)  
df24=df24.rename(columns={'Q1-2020':'QGDP'})
df24.insert(3, "Date", ["2020-06-11" for index in range (60)])

df25=df1.copy()
df25=df25.drop(df25.columns[[2,3,4,5,6,7,9,10,11,12,13]], axis=1)  
df25=df25.rename(columns={'Q2-2020':'QGDP'})
df25.insert(3, "Date", ["2020-09-14" for index in range (60)])

df26=df1.copy()
df26=df26.drop(df26.columns[[2,3,4,5,6,7,8,10,11,12,13]], axis=1)  
df26=df26.rename(columns={'Q3-2020':'QGDP'})
df26.insert(3, "Date", ["2020-12-14" for index in range (60)])

df27=df1.copy()
df27=df27.drop(df27.columns[[2,3,4,5,6,7,8,9,11,12,13]], axis=1)  
df27=df27.rename(columns={'Q4-2020':'QGDP'})
df27.insert(3, "Date", ["2021-02-18" for index in range (60)])

df28=df1.copy()
df28=df28.drop(df28.columns[[2,3,4,5,6,7,8,9,10,12,13]], axis=1)  
df28=df28.rename(columns={'Q1-2021':'QGDP'})
df28.insert(3, "Date", ["2021-05-20" for index in range (60)])

df29=df1.copy()
df29=df29.drop(df29.columns[[2,3,4,5,6,7,8,9,10,11,13]], axis=1)  
df29=df29.rename(columns={'Q2-2021':'QGDP'})
df29.insert(3, "Date", ["2021-08-30" for index in range (60)])

df30=df1.copy()
df30=df30.drop(df30.columns[[2,3,4,5,6,7,8,9,10,11,12]], axis=1)  
df30=df30.rename(columns={'Q3-2021':'QGDP'})
df30.insert(3, "Date", ["2021-12-18" for index in range (60)])