There is a Pandas dataframe: hotels_rev = df1[['date', 'hotel', 'revenue', 'av_revenue', 'difference', 'in_percent']].sort_values(by=['hotel', 'date']) Construct a bar graph with 'hotel' values in the x axis and change values in the 'date' column and 'av_revenue' values in the y axis

hotels_rev = df1[['date', 'hotel', 'revenue', 'av_revenue', 'difference', 'in_percent']].sort_values(by=['hotel', 'date'])

plt.bar(hotels_rev['date'], hotels_rev['av_revenue'], color='red')
plt.xlabel('Date')
plt.ylabel('Average revenues')
plt.title('Average revenues per hotel')
plt.xticks(rotation=90)
plt.show()