MCQs on Plotting Basics | MATLAB
2D Plots (Plot, Scatter, Bar)
- Which function is used to create a basic line plot in Matplotlib?
- A) plot()
- B) bar()
- C) scatter()
- D) plot2d()
- What does the
scatter()function do in Matplotlib?- A) Creates a line plot
- B) Creates a scatter plot
- C) Creates a bar chart
- D) Creates a pie chart
- In Matplotlib, how do you create a bar chart?
- A) scatter()
- B) bar()
- C) plot()
- D) line()
- What argument is used in the
scatter()function to specify the color of points?- A) color
- B) c
- C) marker
- D) linestyle
- How can you specify the color of bars in a bar chart in Matplotlib?
- A)
color='red' - B)
colors='blue' - C)
color='bar' - D)
color='green'
- A)
- Which of the following is true for a scatter plot in Matplotlib?
- A) It uses markers for each data point
- B) It connects the points with a line
- C) It uses bars to represent data
- D) It doesn’t display data points
- Which function would you use to add data points in a plot as a series of dots?
- A) plot()
- B) scatter()
- C) bar()
- D) histogram()
- What does the
bar()function require as its arguments in Matplotlib?- A) x values, y values
- B) x values, height
- C) x, y, labels
- D) None of the above
- What would be the default color of a plot created using the
plot()function?- A) Red
- B) Blue
- C) Green
- D) Black
- Which of these is the correct way to add a grid to a plot in Matplotlib?
- A)
grid=True - B)
grid() - C)
add_grid() - D)
plt.grid()
- A)
Formatting Plots (Labels, Titles, Legends)
- To add a title to a plot in Matplotlib, which function is used?
- A) title()
- B) set_title()
- C) add_title()
- D) plot_title()
- How can you label the x-axis in a Matplotlib plot?
- A) xlabel()
- B) xaxis()
- C) set_xlabel()
- D) x_label()
- How do you set the label for the y-axis in Matplotlib?
- A) ylabel()
- B) yaxis()
- C) set_ylabel()
- D) y_label()
- Which function is used to display a legend in Matplotlib?
- A) legend()
- B) show_legend()
- C) add_legend()
- D) set_legend()
- How would you add multiple labels to a plot in Matplotlib?
- A) By adding multiple legend() calls
- B) By using set_labels()
- C) By passing a list to legend()
- D) By adding each label individually
- What function is used to modify the font size of the title in a Matplotlib plot?
- A) set_font_size()
- B) fontsize()
- C) title(fontsize=)
- D) set_title(fontsize=)
- Which of these options is used to display the legend at the top left corner?
- A) legend(position=”top_left”)
- B) legend(loc=”upper left”)
- C) legend(top_left=True)
- D) set_legend(position=”top_left”)
- To add labels to the axes in a 2D plot, which method is used?
- A) set_labels()
- B) xlabel() and ylabel()
- C) set_title()
- D) axes_labels()
- How would you increase the font size of the axis labels in Matplotlib?
- A) set_fontsize()
- B) axes_labels(fontsize=)
- C) xlabel(fontsize=), ylabel(fontsize=)
- D) font_size=labels()
- In which function do you specify the location of the legend in Matplotlib?
- A) legend()
- B) plt.legend()
- C) ax.legend()
- D) legend(location=)
Subplots
- Which function is used to create multiple subplots in a single figure in Matplotlib?
- A) subplot()
- B) subplots()
- C) add_subplot()
- D) create_subplots()
- How do you create a 2×2 grid of subplots in Matplotlib?
- A) subplots(2, 2)
- B) subplot(2, 2)
- C) subplots(2, 2, figsize=(8, 8))
- D) plt.subplots(2, 2)
- To access the first subplot in a 2×2 grid, which index is used?
- A) ax[0]
- B) ax[1]
- C) ax[2]
- D) ax[3]
- How do you specify the size of a subplot in Matplotlib?
- A) figsize=()
- B) set_size()
- C) subplot_size=()
- D) set_figsize()
- What does the
tight_layout()function do in Matplotlib?- A) Adjusts spacing between subplots
- B) Creates a grid layout
- C) Plots the figure
- D) Sets the figure size
- What is the purpose of the
sharexandshareyparameters insubplots()?- A) They share the axis between subplots
- B) They define the subplot size
- C) They add titles to subplots
- D) They create separate axes
Saving and Exporting Figures
- Which function is used to save a figure to a file in Matplotlib?
- A) save()
- B) savefig()
- C) export()
- D) writefig()
- What is the default file format when using
savefig()if no extension is specified?- A) PDF
- B) PNG
- C) JPG
- D) SVG
- Which of these is a valid file extension to save a plot as an image using Matplotlib?
- A) .jpg
- B) .png
- C) .svg
- D) All of the above
- To save a figure as a .pdf file, what would the
savefig()function call look like?- A) savefig(‘plot.pdf’)
- B) save(‘plot.pdf’)
- C) savefig(plot, format=’pdf’)
- D) export(‘plot.pdf’)
Answers
| Qno | Answer (Option with Text) |
|---|---|
| 1 | A) plot() |
| 2 | B) Creates a scatter plot |
| 3 | B) bar() |
| 4 | B) c |
| 5 | A) color='red' |
| 6 | A) It uses markers for each data point |
| 7 | B) scatter() |
| 8 | B) x values, height |
| 9 | B) Blue |
| 10 | D) plt.grid() |
| 11 | B) set_title() |
| 12 | C) set_xlabel() |
| 13 | C) set_ylabel() |
| 14 | A) legend() |
| 15 | C) By passing a list to legend() |
| 16 | C) title(fontsize=) |
| 17 | B) legend(loc=”upper left”) |
| 18 | B) xlabel() and ylabel() |
| 19 | C) xlabel(fontsize=), ylabel(fontsize=) |
| 20 | B) plt.legend() |
| 21 | B) subplots() |
| 22 | A) subplots(2, 2) |
| 23 | A) ax[0] |
| 24 | A) figsize=() |
| 25 | A) Adjusts spacing between subplots |
| 26 | A) They share the axis between subplots |
| 27 | B) savefig() |
| 28 | B) PNG |
| 29 | D) All of the above |
| 30 | A) savefig(‘plot.pdf’) |