Matplotlib in Python Part 2 | 34/100 Days of Python Algo Trading

1. Which matplotlib function is used to create a new figure for plotting algorithmic trading data?

A) plt.figure()

B) plt.add_figure()

C) plt.new()

D) plt.create_figure()

2. How can you change the style of plots globally in matplotlib?

A) plt.style.use()

B) plt.style.context()

C) plt.set_style()

D) plt.global_style()

3. What is the purpose of the 'plt.subplots()' function in matplotlib when plotting trading data?

A) To create a single plot within a figure

B) To create multiple subplots within a figure

C) To create a layout for multiple figures

D) To create a grid for multiple plots

4. Which parameter in the 'plt.plot()' function allows you to set the color of the line in a trading plot?

A) color

B) linewidth

C) marker

D) linestyle

5. How do you create a pie chart in matplotlib with percentages for a trading portfolio?

A) plt.pie(sizes, labels=labels, autopct='%1.1f%%')

B) plt.pie(sizes, labels=labels, startangle=90)

C) plt.pie(sizes, labels=labels, explode=explode)

D) plt.pie(sizes, labels=labels, colors=colors)

6. Which parameter in the 'plt.pie()' function allows you to explode a slice in a pie chart?

A) explode

B) shadow

C) startangle

D) autopct

7. How can you change the font size of the labels in a pie chart created with matplotlib?

A) fontsize

B) labelsize

C) textsize

D) size

8. What is the best way to display multiple plots in a single figure in matplotlib?

A) plt.figure() and plt.plot() multiple times

B) plt.subplots() and plt.plot() multiple times

C) plt.subplot() and plt.plot() multiple times

D) plt.grid() and plt.plot() multiple times

9. Which function in matplotlib is used to add a legend to a trading plot?

A) plt.legend()

B) plt.label()

C) plt.add_legend()

D) plt.legend_add()

10. How can you change the line style in a matplotlib plot?

A) linestyle

B) linestyle

C) linewidth

D) linewidth

11. Which function in matplotlib allows you to save the current figure as an image file?

A) plt.savefig()

B) plt.export()

C) plt.save()

D) plt.export_image()

12. How can you create a scatter plot with different marker sizes in matplotlib?

A) plt.scatter(x, y, s=size)

B) plt.scatter(x, y, c=color)

C) plt.scatter(x, y, s=size, c=color)

D) plt.scatter(x, y, s=size, marker='o')

13. What is the purpose of the 'plt.tight_layout()' function in matplotlib?

A) To automatically adjust subplot parameters to give specified padding

B) To create a grid layout for subplots

C) To automatically adjust the spacing between subplots

D) To set the layout of the figure

14. How do you add grid lines to a plot in matplotlib?

A) plt.grid()

B) plt.add_grid()

C) plt.gridlines()

D) plt.set_grid()

15. Which function is used to set the title of a plot in matplotlib?

A) plt.title()

B) plt.header()

C) plt.caption()

D) plt.add_title()

16. How can you set the x and y axis labels in a matplotlib plot?

A) plt.xlabel(), plt.ylabel()

B) plt.axislabel()

C) plt.set_label()

D) plt.axis_title()

17. What parameter would you use to set the transparency of a plot in matplotlib?

A) alpha

B) opacity

C) transparency

D) brightness

18. How do you create a subplot in a specific position in a matplotlib figure?

A) plt.subplot(2, 2, 1)

B) plt.add_subplot(2, 2, 1)

C) plt.plot(2, 2, 1)

D) plt.figure_plot(2, 2, 1)

19. Which function is used to display the plot interactively in matplotlib?

A) plt.show()

B) plt.display()

C) plt.render()

D) plt.interactive()

20. How can you change the figure size in matplotlib?

A) plt.figure(figsize=(width, height))

B) plt.new_figure(size=(width, height))

C) plt.set_size((width, height))

D) plt.adjust_size((width, height))

Congratulations on reaching this stage!