import pandas as pd
    df_CaveIns = pd.read_csv("DEP_Cave_in_CARs.csv")

    def createAddress(row):
        for row in df_CaveIns['Permit']:
            if row[0] == 'Q':
                return df_CaveIns['On_Street_Name'] + ' ' + 'AND' + ' ' + df_CaveIns['To_Street_Name'] + ',' + ' ' + 'QUEENS' + ' ' + 'NEW YORK'
            elif row[0] == 'S':
                return df_CaveIns['On_Street_Name'] + ' ' + 'AND' + ' ' + df_CaveIns['To_Street_Name'] + ',' + ' ' + 'STATEN ISLAND' + ' ' + 'NEW YORK'
            elif row[0] == 'M':
                return df_CaveIns['On_Street_Name'] + ' ' + 'AND' + ' ' + df_CaveIns['To_Street_Name'] + ',' + ' ' + 'MANHATTAN' + ' ' + 'NEW YORK'
            elif row[0] == 'B':
                return df_CaveIns['On_Street_Name'] + ' ' + 'AND' + ' ' + df_CaveIns['To_Street_Name'] + ',' + ' ' + 'BROOKLYN' + ' ' + 'NEW YORK'
            elif row[0] == 'X':
                return df_CaveIns['On_Street_Name'] + ' ' + 'AND' + ' ' + df_CaveIns['To_Street_Name'] + ',' + ' ' + 'BRONX' + ' ' + 'NEW YORK'

df_CaveIns['Address'] = df_CaveIns.apply(createAddress, axis=1)