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.
Latihan ini adalah bagian dari kursus
Introduction to Data Visualization with Seaborn
Petunjuk latihan
- Rotate the x-tick labels 90 degrees.
Latihan interaktif praktis
Cobalah latihan ini dengan menyelesaikan kode contoh berikut.
# 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()