Additional plot customizations
The matplotlib API supports many common customizations such as labeling axes,
adding titles, and setting limits. Let's complete another customization
exercise.
This exercise is part of the course
Intermediate Data Visualization with Seaborn
Exercise instructions
- Create a
histplotof thefmr_1column. - Modify the x axis label to say "1 Bedroom Fair Market Rent".
- Change the x axis limits to be between 100 and 1500.
- Add a descriptive title of
"US Rent"to the plot.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a figure and axes
fig, ____ = plt.subplots()
# Plot the distribution of 1 bedroom rents
sns.____(df['fmr_1'], ax=____)
# Modify the properties of the plot
ax.set(xlabel="1 Bedroom Fair Market Rent",
xlim=(____,____),
____="US Rent")
# Display the plot
plt.show()