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

    sns.scatterplot requires x and y lists for points.
  2. Step 2: Use Matplotlib functions to add title and labels

    plt.title, plt.xlabel, and plt.ylabel add text to the plot.
  3. Final Answer:

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