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()