I have plotted a stacked bar chart using sns.histplot() and I wish to add percentage (the values in the column 'Cancellation Rate') on each bar with corresponding areas, but how can I do that? I have searched a lot of similar questions but still couldn't find a solution... Most of them are using plt directly, few of them are using seaboan:( Thanks for anyone who can help me!
The following is my dataset and my code:
data = np.array([['Corporate', 0, 84.7986141186661],
['Corporate', 1, 15.201385881333913],
['Direct', 0, 86.51926915399969],
['Direct', 1, 13.480730846000307],
['Groups', 0, 57.60795065113091],
['Groups', 1, 42.39204934886909],
['Offline TA/TO', 0, 84.76980728051392],
['Offline TA/TO', 1, 15.230192719486082],
['Online TA', 0, 64.75830560099273],
['Online TA', 1, 35.24169439900728]], dtype=object)
resort = pd.DataFrame(data = data, columns = ['Market Segment','is_canceled','Cancellation Rate'])
fig, ax1 = plt.subplots(figsize=(8,4))
sns.histplot(x='Market Segment',
weights='Cancellation Rate',
multiple='stack',
shrink=0.8,
hue='is_canceled',
data=resort,
palette=sns.color_palette("Set1", 2),
ax = ax1
).set(title = 'Cancellation Rate of Booking Market Segment')
The plot I got is:
The plot I expect to have is like the following,where percentages appear in each hue segment on each bar:
