Combining Seaborn and Matplotlib - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main reason to combine Seaborn and Matplotlib in a plot?

Combining Seaborn and Matplotlib lets you use Seaborn's easy and beautiful statistical plots with Matplotlib's detailed customization options.

beginner

How do you add a title to a Seaborn plot using Matplotlib?

After creating a Seaborn plot, use Matplotlib's plt.title('Your Title') to add a title.

beginner

Which Matplotlib function is commonly used to adjust the size of a Seaborn plot?

plt.figure(figsize=(width, height)) is used before the Seaborn plot to set the plot size.

intermediate

Can you add Matplotlib annotations to a Seaborn plot? How?

Yes, after creating the Seaborn plot, use plt.annotate() to add text or arrows anywhere on the plot.

beginner

What is the role of plt.show() when combining Seaborn and Matplotlib?

plt.show() displays the final combined plot on the screen. It should be called after all plotting commands.

Which library is mainly used for statistical plotting with simple syntax?

A Seaborn

B Matplotlib

C Pandas

D NumPy

Seaborn is designed for easy and beautiful statistical plots.

How do you set the size of a plot before creating a Seaborn plot?

A sns.set_size()

B sns.figure_size()

C plt.size(width, height)

D plt.figure(figsize=(width, height))

Matplotlib's plt.figure(figsize=(width, height)) sets the plot size.

After creating a Seaborn plot, which function adds a title?

A sns.title()

B plt.set_title()

C plt.title()

D sns.set_title()

Matplotlib's plt.title() adds a title to the plot.

Can you add Matplotlib annotations to a Seaborn plot?

A No, they are incompatible

B Yes, using plt.annotate()

C Only with sns.annotate()

D Only if you convert the plot to Matplotlib

Matplotlib annotations like plt.annotate() work on Seaborn plots.

What does plt.show() do in a combined Seaborn and Matplotlib plot?

A Displays the plot on screen

B Saves the plot to a file

C Clears the plot

D Creates a new plot

plt.show() displays the final plot on the screen.

Explain how you can customize a Seaborn plot using Matplotlib functions.

Think about Matplotlib functions like plt.figure(), plt.title(), plt.annotate(), and plt.show().

Describe the benefits of combining Seaborn and Matplotlib for data visualization.

Consider what each library does best and how they complement each other.