You’re given two dataframes. One contains information about addresses and the other contains relationships between various cities and states:

Example:

df_addresses

df_cities

Write a function complete_address to create a single dataframe with complete addresses in the format of street, city, state, zip code.

Input:

import pandas as pd

addresses = {"address": ["4860 Sunset Boulevard, San Francisco, 94105", "3055 Paradise Lane, Salt Lake City, 84103", "682 Main Street, Detroit, 48204", "9001 Cascade Road, Kansas City, 64102", "5853 Leon Street, Tampa, 33605"]}

cities = {"city": ["Salt Lake City", "Kansas City", "Detroit", "Tampa", "San Francisco"], "state": ["Utah", "Missouri", "Michigan", "Florida", "California"]}

df_addresses = pd.DataFrame(addresses)
df_cities = pd.DataFrame(cities)

Output:

def complete_address(df_addresses,df_cities) ->