Practice Matplotlib (Data Visualization) - 4.3 | Python for Data Science | Data Science Basic
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What command do you use to create a line plot in Matplotlib?

💡 Hint: Think about the plot function in Matplotlib.

Question 2

Easy

How do you display the plot?

💡 Hint: Remember what final step is needed to visualize.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What library is used for data visualization in Python?

  • NumPy
  • Pandas
  • Matplotlib

💡 Hint: Consider which library is tailored for plots.

Question 2

True or False: You must use plt.savefig() to display a plot.

  • True
  • False

💡 Hint: Consider what is specifically done for visualization.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Create a bar chart with the data: categories = ['A', 'B', 'C'], values = [3, 7, 5]. Include a title and axis labels.

💡 Hint: Think about how to use plt.bar() for bar charts.

Question 2

How would you modify your previous plot to save it as 'bar_chart.png'?

💡 Hint: What do you need to do right before showing the image to save it?

Challenge and get performance evaluation