seoul = pd.read_csv('./downloads/seoul.csv')
seoul = seoul[(seoul.상권업종중분류명=='커피점/카페')&(seoul.상호명!='카페')]
seoul = seoul.groupby('상호명').상가업소번호.count().reset_index()
seoul.columns = ['상호명', '2017']
seoul = seoul.sort_values(by='2017',ascending=False).head(5)
seoul2 = pd.read_csv('./downloads/seoul2.csv')
seoul2 = seoul2[(seoul2.상권업종중분류명=='커피점/카페')&(seoul2.상호명!='카페')]
seoul2 = seoul2.groupby('상호명').상가업소번호.count().reset_index()
seoul2.columns = ['상호명', '2022']
seoul2 = seoul2.sort_values(by='2022',ascending=False).head(5)
x = pd.merge(seoul, seoul2, on='상호명')
x = x.pivot_table(values=['2017', '2022'], columns='상호명')
x.plot.bar(rot=0)