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Rotating x-tick labels

In this exercise, we'll continue looking at the miles per gallon dataset. In the code provided, we create a point plot that displays the average acceleration for cars in each of the three places of origin. Note that the "acceleration" variable is the time to accelerate from 0 to 60 miles per hour, in seconds. Higher values indicate slower acceleration.

Let's use this plot to practice rotating the x-tick labels. Recall that the function to rotate x-tick labels is a standalone Matplotlib function and not a function applied to the plot object itself.

We've already imported Seaborn as sns and matplotlib.pyplot as plt.

Questo esercizio fa parte del corso

Introduction to Data Visualization with Seaborn

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Istruzioni dell'esercizio

  • Rotate the x-tick labels 90 degrees.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# Create point plot
sns.catplot(x="origin",
            y="acceleration",
            data=mpg,
            kind="point",
            linestyle="none",
            capsize=0.1)

# Rotate x-tick labels


# Show plot
plt.show()
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