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Matplotlib MCQs and Answers with Explanation: In this article, you can get Matplotlib MCQ Questions and Answers, as well as a brief introduction to Matplotlib. Aspirants who are preparing themselves for an interview or placement examination on Matplotlib can make use of these Matplotlib Multiple Choice Questions to learn about this concept. Matplotlib is a powerful data visualization library for Python that enables users to create a wide range of high-quality, publication-ready plots, charts, and graphs. It provides a comprehensive set of tools for creating static, animated, and interactive visualizations that help users explore, analyze, and communicate their data effectively.
Matplotlib MCQ Questions and Answers
In this set of Matplotlib MCQ Quiz/ Matplotlib Online Quiz, we will explore the various features of Matplotlib, its benefits, and how to get started with creating custom visualizations. Whether you are a data scientist, researcher, or student, these Matplotlib MCQs will provide you with valuable insights into this powerful tool and help you create compelling visualizations that reveal insights and patterns hidden in your data.
Matplotlib Multiple Choice Questions
| Name | Matplotlib |
| Exam Type | MCQ (Multiple Choice Questions) |
| Category | Technical Quiz |
| Mode of Quiz | Online |
Top 25 Matplotlib MCQ Questions | Matplotlib Quiz
1. What is Matplotlib?
a) A programming language
b) A data visualization library
c) A database management system
d) An operating system
Answer: b)
Explanation: Matplotlib is a data visualization library for creating static, animated, and interactive visualizations in Python.
2. What is the purpose of Matplotlib’s pyplot module?
a) To create data visualizations
b) To manage data storage
c) To manipulate data frames
d) To install third-party packages
Answer: a)
Explanation: The pyplot module provides a convenient interface for creating data visualizations using Matplotlib)
3. Which of the following is not a type of Matplotlib plot?
a) Line plot
b) Scatter plot
c) Pie chart
d) Bar chart
Answer: c)
Explanation: While Matplotlib can create many types of visualizations, pie charts are not recommended due to their poor ability to show relative proportions.
4. How can you add a title to a Matplotlib plot?
a) By using the title() function
b) By using the label() function
c) By using the text() function
d) By using the legend() function
Answer: a)
Explanation: The title() function can be used to add a title to a Matplotlib plot.
5. What is the purpose of the xlabel() and ylabel() functions in Matplotlib?
a) To add a legend to a plot
b) To add a title to a plot
c) To label the x and y axes of a plot
d) To change the color of a plot
Answer: c)
Explanation: The xlabel() and ylabel() functions can be used to label the x and y axes of a Matplotlib plot.
6. How can you save a Matplotlib plot as an image file?
a) By using the save() function
b) By using the export() function
c) By using the savefig() function
d) By using the exportfig() function
Answer: c)
Explanation: The savefig() function can be used to save a Matplotlib plot as an image file in a variety of formats, including PNG, PDF, and SVG.
7. What is the purpose of the xlim() and ylim() functions in Matplotlib?
a) To set the size of a plot
b) To set the background color of a plot
c) To set the x and y limits of a plot
d) To add annotations to a plot
Answer: c)
Explanation: The xlim() and ylim() functions can be used to set the x and y limits of a Matplotlib plot.
8. What is the default color for Matplotlib plots?
a) Red
b) Blue
c) Green
d) Black
Answer: b)
Explanation: The default color for Matplotlib plots is blue.
9. How can you change the color of a Matplotlib plot?
a) By using the color() function
b) By using the hue() function
c) By using the palette() function
d) By specifying the color parameter in the plot() function
Answer: d)
Explanation: The color of a Matplotlib plot can be changed by specifying the color parameter in the plot() function.
10. What is the purpose of the legend() function in Matplotlib?
a) To label the x and y axes of a plot
b) To add a title to a plot
c) To add annotations to a plot
d) To label different lines or markers on a plot
Answer: d)
Explanation: The legend() function can be used to label different lines or markers on a Matplotlib plot.
11. What is the purpose of the subplot() function in Matplotlib?
a) To create multiple plots in the same figure
b) To adjust the size of a plot
c) To change the color of a plot
d) To add annotations to a plot
Answer: a)
Explanation: The subplot() function can be used to create multiple plots in the same figure.
12. What is the purpose of the scatter() function in Matplotlib?
a) To create line plots
b) To create bar charts
c) To create scatter plots
d) To create pie charts
Answer: c)
Explanation: The scatter() function can be used to create scatter plots in Matplotlib)
13. What is the purpose of the hist() function in Matplotlib?
a) To create histograms
b) To create line plots
c) To create scatter plots
d) To create bar charts
Answer: a)
Explanation: The hist() function can be used to create histograms in Matplotlib)
14. How can you change the size of a Matplotlib plot?
a) By using the figure() function
b) By using the subplot() function
c) By using the size() function
d) By using the xlim() and ylim() functions
Answer: a)
Explanation: The size of a Matplotlib plot can be changed by using the figure() function.
15. What is the purpose of the annotate() function in Matplotlib?
a) To add annotations to a plot
b) To change the color of a plot
c) To label different lines or markers on a plot
d) To create legends for a plot
Answer: a)
Explanation: The annotate() function can be used to add annotations to a Matplotlib plot.
16. What is the purpose of the tight_layout() function in Matplotlib?
a) To adjust the spacing between subplots in a figure
b) To adjust the size of a plot
c) To change the color of a plot
d) To add annotations to a plot
Answer: a)
Explanation: The tight_layout() function can be used to adjust the spacing between subplots in a Matplotlib figure.
17. What is the purpose of the axis() function in Matplotlib?
a) To add grid lines to a plot
b) To change the x and y limits of a plot
c) To change the color of a plot
d) To label different lines or markers on a plot
Answer: b)
Explanation: The axis() function can be used to change the x and y limits of a Matplotlib plot.
18. How can you create a bar chart in Matplotlib?
a) By using the scatter() function
b) By using the hist() function
c) By using the bar() function
d) By using the line() function
Answer: c)
Explanation: A bar chart can be created in Matplotlib using the bar() function.
19. What is the purpose of the imshow() function in Matplotlib?
a) To display images
b) To create line plots
c) To create scatter plots
d) To create bar charts
Answer: a)
Explanation: The imshow() function can be used to display images in Matplotlib)
20. What is the purpose of the subplots() function in Matplotlib?
a) To create multiple plots in the same figure
b) To adjust the size of a plot
c) To change the color of a plot
d) To add annotations to a plot
Answer: a)
Explanation: The subplots() function can be used to create multiple plots in the same figure.
21. How can you create a pie chart in Matplotlib?
a) By using the scatter() function
b) By using the hist () function
c) By using the bar() function
d) By using the pie() function
Answer: d)
Explanation: A pie chart can be created in Matplotlib using the pie() function.
22. What is the purpose of the legend() function in Matplotlib?
a) To add annotations to a plot
b) To change the color of a plot
c) To label different lines or markers on a plot
d) To create legends for a plot
Answer: d)
Explanation: The legend() function can be used to create legends for a Matplotlib plot.
23. How can you change the color of a Matplotlib plot?
a) By using the color() function
b) By using the hue() function
c) By using the cmap() function
d) By using the set_color() function
Answer: c)
Explanation: The color of a Matplotlib plot can be changed by using the cmap() function.
24. What is the purpose of the xlim() and ylim() functions in Matplotlib?
a) To add grid lines to a plot
b) To change the x and y limits of a plot
c) To change the color of a plot
d) To label different lines or markers on a plot
Answer: b)
Explanation: The xlim() and ylim() functions can be used to change the x and y limits of a Matplotlib plot.
25. Which module is used for data visualization in Python?
a) NumPy
b) Pandas
c) Matplotlib
d) Scikit-learn
Answer: c)
Explanation: Matplotlib is a module used for data visualization in Python.
Matplotlib is a widely-used data visualization library for Python that enables users to create a wide range of static, animated, and interactive plots with ease. With the knowledge gained from this set of Matplotlib MCQ Quiz, users can leverage the capabilities of Matplotlib to create compelling visualizations that reveal insights and patterns hidden in their data. Keep following our Freshersnow for more technical quizzes like this.