Multiple plots
For the final exercise we will plot a comparison of the fair market rents for 1-bedroom and 2-bedroom apartments.
This exercise is part of the course
Intermediate Data Visualization with Seaborn
Exercise instructions
- Create two axes objects,
ax0andax1. - Plot
fmr_1onax0andfmr_2onax1. - Display the plots side by side.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a plot with 1 row and 2 columns that share the y axis label
fig, (ax0, ax1) = plt.subplots(nrows=____, ncols=____, sharey=____)
# Plot the distribution of 1 bedroom apartments on ax0
sns.histplot(df['____'], ax=____)
____.set(xlabel="1 Bedroom Fair Market Rent", xlim=(100,1500))
# Plot the distribution of 2 bedroom apartments on ax1
sns.histplot(df['____'], ax=____)
____.set(xlabel="2 Bedroom Fair Market Rent", xlim=(100,1500))
# Display the plot
plt.show()