Pyplot interface overview in Matplotlib - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main purpose of the pyplot interface in matplotlib?

The pyplot interface provides a simple way to create and customize plots by using functions that work like MATLAB commands. It helps you make graphs step-by-step easily.

beginner

Which function in pyplot is used to create a new figure window?

The function plt.figure() creates a new figure window where you can draw your plots.

beginner

How do you add a title to a plot using pyplot?

Use plt.title('Your Title') to add a title to the current plot.

beginner

What does plt.show() do in the pyplot interface?

plt.show() displays all the figures and plots you have created. It opens the plot window so you can see your graph.

intermediate

Explain the difference between plt.plot() and plt.scatter().

plt.plot() draws lines connecting points, useful for continuous data. plt.scatter() draws individual points without connecting lines, useful for showing data distribution.

Which pyplot function starts a new plot figure?

A plt.figure()

B plt.plot()

C plt.show()

D plt.title()

plt.figure() creates a new figure window for plotting.

What does plt.show() do?

A Displays the plot window

B Saves the plot to a file

C Adds a title to the plot

D Creates a new plot

plt.show() opens the window to display your plot.

Which function adds a title to your plot?

A plt.ylabel()

B plt.xlabel()

C plt.title()

D plt.legend()

plt.title() sets the title text on the plot.

If you want to plot points without connecting lines, which pyplot function should you use?

A plt.hist()

B plt.plot()

C plt.bar()

D plt.scatter()

plt.scatter() plots individual points without lines.

What is the typical order of commands to create and display a simple line plot?

A plt.show(), plt.plot(), plt.figure()

B plt.figure(), plt.plot(), plt.show()

C plt.plot(), plt.figure(), plt.show()

D plt.plot(), plt.show(), plt.figure()

First create a figure with plt.figure(), then plot with plt.plot(), and finally display with plt.show().

Describe the basic workflow of creating a plot using the pyplot interface.

Think about the steps from starting a plot to seeing it on screen.

Explain when you would use plt.plot() versus plt.scatter() in pyplot.

Consider the visual difference between lines and points.