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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.

Deze oefening maakt deel uit van de cursus

Introduction to Data Visualization with Seaborn

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Oefeninstructies

  • Rotate the x-tick labels 90 degrees.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# 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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