You want to create a scatter plot with Seaborn that uses Matplotlib's customization to add a title and axis labels. Which code correctly combines both?

hard📝 Application Q8 of 15

Matplotlib - Seaborn Integration

Aplt.scatter(x=[1,2], y=[3,4]); sns.title('My Plot'); sns.xlabel('X'); sns.ylabel('Y'); plt.show()

Bsns.scatterplot(x=[1,2], y=[3,4]); plt.title('My Plot'); plt.xlabel('X'); plt.ylabel('Y'); plt.show()

Csns.scatterplot(data=[1,2,3,4]); plt.title('My Plot'); plt.show()

Dsns.scatterplot(x=[1,2], y=[3,4]); plt.show('My Plot')

Step-by-Step Solution

Solution:

Step 1: Use Seaborn for scatter plot with x and y
sns.scatterplot requires x and y lists for points.
Step 2: Use Matplotlib functions to add title and labels
plt.title, plt.xlabel, and plt.ylabel add text to the plot.
Final Answer:
sns.scatterplot(x=[1,2], y=[3,4]); plt.title('My Plot'); plt.xlabel('X'); plt.ylabel('Y'); plt.show() -> Option B
Quick Check:
Combine Seaborn plot + Matplotlib labels = A [OK]

Quick Trick: Use Seaborn to plot, Matplotlib to label and show [OK]

Common Mistakes:

Trying to use sns.title or sns.xlabel (not valid)
Passing data list without x and y
Calling plt.show with arguments

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More Matplotlib Quizzes

You want to create a scatter plot with Seaborn that uses Matplotlib's customization to add a title and axis labels. Which code correctly combines both?

Step 1: Use Seaborn for scatter plot with x and y

Step 2: Use Matplotlib functions to add title and labels

Final Answer:

Quick Check:

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