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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.

Cet exercice fait partie du cours

<cours>Intermediate Data Visualization with Seaborn</cours>
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Instructions de l’exercice

  • Create a histplot of the fmr_1 column.
  • 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.

Exercice interactif pratique

Essayez cet exercice en complétant ce code d’exemple.

# 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()
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