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

4.3 - Matplotlib (Data Visualization)

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Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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?

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