data_platform = games.pivot_table(index = 'platform',aggfunc = {'year_of_release':['min', 'max'], 'sales':'sum'})
data_platform['years_old'] = data_platform['year_of_release', 'max'] - data_platform['year_of_release', 'min']
data_platform = data_platform.reset_index()
data_platform.columns = ['platform','sales_sum','first_year', 'last_year', 'years_old']
data_platform = data_platform.sort_values(by = 'first_year', ascending = True)
def dff(row):
    return row['platform'] + ' ' + str(row['first_year'])

data_platform['platform1'] = data_platform.apply(dff,axis=1)

ax = data_platform.plot(kind = 'barh', grid = True, figsize = (15,10), y = 'years_old', x = 'platform1',\
                       color=['teal', 'red', 'green', 'blue', 'cyan'])
plt.xticks(data_platform[('years_old')])
plt.show()