Adding a title and axis labels
Let's continue to look at the miles per gallon dataset. This time we'll create a line plot to answer the question: How does the average miles per gallon achieved by cars change over time for each of the three places of origin? To improve the readability of this plot, we'll add a title and more informative axis labels.
In the code provided, we create the line plot using the lineplot() function. Note that lineplot() does not support the creation of subplots, so it returns an AxesSubplot object instead of an FacetGrid object.
We've already imported Seaborn as sns and matplotlib.pyplot as plt.
Questo esercizio fa parte del corso
Introduction to Data Visualization with Seaborn
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Create line plot
g = sns.lineplot(x="model_year", y="mpg_mean",
data=mpg_mean,
hue="origin")
# Add a title "Average MPG Over Time"
# Show plot
plt.show()