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.
This exercise is part of the course
Introduction to Data Visualization with Seaborn
Exercise instructions
- Rotate the x-tick labels 90 degrees.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create point plot
sns.catplot(x="origin",
y="acceleration",
data=mpg,
kind="point",
join=False,
capsize=0.1)
# Rotate x-tick labels
# Show plot
plt.show()