data1={'Policy Number':['FSH1235456','FSH7643643','CHH123124','CHH123145252','CHH124124'],'State':['FL','TX','GA','TX','TX'],'TERR':[1,2,3,4,5]}

data2={'TERR':[1,2,3,4,5],'CHH':[0,.15,.65,.35,.20],'FSH':[0,.15,.25,.35,.20]}

output={'Policy Number':['FSH1235456','FSH7643643','CHH123124','CHH123145252','CHH124124'],'State':['FL','TX','GA','TX','TX'],'TERR':[1,2,3,4,5],'Test':[0,.15,0,0,0]}


df1=pd.DataFrame(data1)

df2=pd.DataFrame(data2)

df3=pd.DataFrame(output)

if df1.State.any()=="TX":
    if df1["Policy Number"].str.contains("FSH").any():
        for i in df["TERR"]:
            df1['% TERR']=df2.loc[[i],["FSH"]]

print(df2.loc[[i],["FSH"]]